Package Methods (1.47.0)

Version 1.47.0

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Summary of entries of Methods for aiplatform.

google.cloud.aiplatform.autolog

autolog(disable=False)

Enables autologging of parameters and metrics to Vertex Experiments.

See more: google.cloud.aiplatform.autolog

google.cloud.aiplatform.end_run

end_run(
    state: google.cloud.aiplatform_v1.types.execution.Execution.State = State.COMPLETE,
)

Ends the the current experiment run.

See more: google.cloud.aiplatform.end_run

google.cloud.aiplatform.end_upload_tb_log

end_upload_tb_log()

Ends the current TensorBoard uploader.

See more: google.cloud.aiplatform.end_upload_tb_log

google.cloud.aiplatform.get_experiment_df

get_experiment_df(experiment: typing.Optional[str] = None) -> pd.DataFrame

Returns a Pandas DataFrame of the parameters and metrics associated with one experiment.

See more: google.cloud.aiplatform.get_experiment_df

google.cloud.aiplatform.get_experiment_model

get_experiment_model(
    artifact_id: str,
    *,
    metadata_store_id: str = "default",
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
) -> google.cloud.aiplatform.metadata.schema.google.artifact_schema.ExperimentModel

Retrieves an existing ExperimentModel artifact given an artifact id.

See more: google.cloud.aiplatform.get_experiment_model

google.cloud.aiplatform.get_pipeline_df

get_pipeline_df(pipeline: str) -> pd.DataFrame

Returns a Pandas DataFrame of the parameters and metrics associated with one pipeline.

See more: google.cloud.aiplatform.get_pipeline_df

google.cloud.aiplatform.init

init(
    *,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    experiment: typing.Optional[str] = None,
    experiment_description: typing.Optional[str] = None,
    experiment_tensorboard: typing.Optional[
        typing.Union[
            str,
            google.cloud.aiplatform.tensorboard.tensorboard_resource.Tensorboard,
            bool,
        ]
    ] = None,
    staging_bucket: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    network: typing.Optional[str] = None,
    service_account: typing.Optional[str] = None,
    api_endpoint: typing.Optional[str] = None,
    api_transport: typing.Optional[str] = None
)

Updates common initialization parameters with provided options.

See more: google.cloud.aiplatform.init

google.cloud.aiplatform.log

log(
    *,
    pipeline_job: typing.Optional[
        google.cloud.aiplatform.pipeline_jobs.PipelineJob
    ] = None
)

Log Vertex AI Resources to the current experiment run.

See more: google.cloud.aiplatform.log

google.cloud.aiplatform.log_classification_metrics

log_classification_metrics(
    *,
    labels: typing.Optional[typing.List[str]] = None,
    matrix: typing.Optional[typing.List[typing.List[int]]] = None,
    fpr: typing.Optional[typing.List[float]] = None,
    tpr: typing.Optional[typing.List[float]] = None,
    threshold: typing.Optional[typing.List[float]] = None,
    display_name: typing.Optional[str] = None
) -> (
    google.cloud.aiplatform.metadata.schema.google.artifact_schema.ClassificationMetrics
)

Create an artifact for classification metrics and log to ExperimentRun.

See more: google.cloud.aiplatform.log_classification_metrics

google.cloud.aiplatform.log_metrics

log_metrics(metrics: typing.Dict[str, typing.Union[float, int, str]])

Log single or multiple Metrics with specified key and value pairs.

See more: google.cloud.aiplatform.log_metrics

google.cloud.aiplatform.log_model

log_model(
    model: typing.Union[sklearn.base.BaseEstimator, xgb.Booster, tf.Module],
    artifact_id: typing.Optional[str] = None,
    *,
    uri: typing.Optional[str] = None,
    input_example: typing.Union[list, dict, pd.DataFrame, np.ndarray] = None,
    display_name: typing.Optional[str] = None,
    metadata_store_id: typing.Optional[str] = "default",
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
) -> google.cloud.aiplatform.metadata.schema.google.artifact_schema.ExperimentModel

Saves a ML model into a MLMD artifact and log it to this ExperimentRun.

See more: google.cloud.aiplatform.log_model

google.cloud.aiplatform.log_params

log_params(params: typing.Dict[str, typing.Union[float, int, str]])

Log single or multiple parameters with specified key and value pairs.

See more: google.cloud.aiplatform.log_params

google.cloud.aiplatform.log_time_series_metrics

log_time_series_metrics(
    metrics: typing.Dict[str, float],
    step: typing.Optional[int] = None,
    wall_time: typing.Optional[google.protobuf.timestamp_pb2.Timestamp] = None,
)

Logs time series metrics to to this Experiment Run.

See more: google.cloud.aiplatform.log_time_series_metrics

google.cloud.aiplatform.save_model

save_model(
    model: typing.Union[sklearn.base.BaseEstimator, xgb.Booster, tf.Module],
    artifact_id: typing.Optional[str] = None,
    *,
    uri: typing.Optional[str] = None,
    input_example: typing.Union[list, dict, pd.DataFrame, np.ndarray] = None,
    tf_save_model_kwargs: typing.Optional[typing.Dict[str, typing.Any]] = None,
    display_name: typing.Optional[str] = None,
    metadata_store_id: typing.Optional[str] = "default",
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
) -> google.cloud.aiplatform.metadata.schema.google.artifact_schema.ExperimentModel

Saves a ML model into a MLMD artifact.

See more: google.cloud.aiplatform.save_model

google.cloud.aiplatform.start_execution

start_execution(
    *,
    schema_title: typing.Optional[str] = None,
    display_name: typing.Optional[str] = None,
    resource_id: typing.Optional[str] = None,
    metadata: typing.Optional[typing.Dict[str, typing.Any]] = None,
    schema_version: typing.Optional[str] = None,
    description: typing.Optional[str] = None,
    resume: bool = False,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
) -> google.cloud.aiplatform.metadata.execution.Execution

Create and starts a new Metadata Execution or resumes a previously created Execution.

See more: google.cloud.aiplatform.start_execution

google.cloud.aiplatform.start_run

start_run(
    run: str,
    *,
    tensorboard: typing.Optional[
        typing.Union[
            google.cloud.aiplatform.tensorboard.tensorboard_resource.Tensorboard, str
        ]
    ] = None,
    resume=False
) -> google.cloud.aiplatform.metadata.experiment_run_resource.ExperimentRun

Start a run to current session.

See more: google.cloud.aiplatform.start_run

google.cloud.aiplatform.start_upload_tb_log

start_upload_tb_log(
    tensorboard_experiment_name: str,
    logdir: str,
    tensorboard_id: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    experiment_display_name: typing.Optional[str] = None,
    run_name_prefix: typing.Optional[str] = None,
    description: typing.Optional[str] = None,
    allowed_plugins: typing.Optional[typing.FrozenSet[str]] = None,
)

Continues to listen for new data in the logdir and uploads when it appears.

See more: google.cloud.aiplatform.start_upload_tb_log

google.cloud.aiplatform.upload_tb_log

upload_tb_log(
    tensorboard_experiment_name: str,
    logdir: str,
    tensorboard_id: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    experiment_display_name: typing.Optional[str] = None,
    run_name_prefix: typing.Optional[str] = None,
    description: typing.Optional[str] = None,
    verbosity: typing.Optional[int] = 1,
    allowed_plugins: typing.Optional[typing.FrozenSet[str]] = None,
)

upload only the existing data in the logdir and then return immediately.

See more: google.cloud.aiplatform.upload_tb_log

vertexai.init

init(
    *,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    experiment: typing.Optional[str] = None,
    experiment_description: typing.Optional[str] = None,
    experiment_tensorboard: typing.Optional[
        typing.Union[
            str,
            google.cloud.aiplatform.tensorboard.tensorboard_resource.Tensorboard,
            bool,
        ]
    ] = None,
    staging_bucket: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    network: typing.Optional[str] = None,
    service_account: typing.Optional[str] = None,
    api_endpoint: typing.Optional[str] = None,
    api_transport: typing.Optional[str] = None
)

Updates common initialization parameters with provided options.

See more: vertexai.init

vertexai.preview.end_run

end_run(
    state: google.cloud.aiplatform_v1.types.execution.Execution.State = State.COMPLETE,
)

Ends the the current experiment run.

See more: vertexai.preview.end_run

vertexai.preview.from_pretrained

from_pretrained(
    *,
    model_name: typing.Optional[str] = None,
    custom_job_name: typing.Optional[str] = None,
    foundation_model_name: typing.Optional[str] = None
) -> typing.Union[sklearn.base.BaseEstimator, tf.Module, torch.nn.Module]

Pulls a model from Model Registry or from a CustomJob ID for retraining.

See more: vertexai.preview.from_pretrained

vertexai.preview.get_experiment_df

get_experiment_df(experiment: typing.Optional[str] = None) -> pd.DataFrame

Returns a Pandas DataFrame of the parameters and metrics associated with one experiment.

See more: vertexai.preview.get_experiment_df

vertexai.preview.init

init(
    *,
    remote: typing.Optional[bool] = None,
    autolog: typing.Optional[bool] = None,
    cluster: typing.Optional[
        vertexai.preview._workflow.shared.configs.PersistentResourceConfig
    ] = None
)

Updates preview global parameters for Vertex remote execution.

See more: vertexai.preview.init

vertexai.preview.log_classification_metrics

log_classification_metrics(
    *,
    labels: typing.Optional[typing.List[str]] = None,
    matrix: typing.Optional[typing.List[typing.List[int]]] = None,
    fpr: typing.Optional[typing.List[float]] = None,
    tpr: typing.Optional[typing.List[float]] = None,
    threshold: typing.Optional[typing.List[float]] = None,
    display_name: typing.Optional[str] = None
) -> (
    google.cloud.aiplatform.metadata.schema.google.artifact_schema.ClassificationMetrics
)

Create an artifact for classification metrics and log to ExperimentRun.

See more: vertexai.preview.log_classification_metrics

vertexai.preview.log_metrics

log_metrics(metrics: typing.Dict[str, typing.Union[float, int, str]])

Log single or multiple Metrics with specified key and value pairs.

See more: vertexai.preview.log_metrics

vertexai.preview.log_params

log_params(params: typing.Dict[str, typing.Union[float, int, str]])

Log single or multiple parameters with specified key and value pairs.

See more: vertexai.preview.log_params

vertexai.preview.log_time_series_metrics

log_time_series_metrics(
    metrics: typing.Dict[str, float],
    step: typing.Optional[int] = None,
    wall_time: typing.Optional[google.protobuf.timestamp_pb2.Timestamp] = None,
)

Logs time series metrics to to this Experiment Run.

See more: vertexai.preview.log_time_series_metrics

vertexai.preview.register

register(
    model: typing.Union[sklearn.base.BaseEstimator, tf.Module, torch.nn.Module],
    use_gpu: bool = False,
) -> google.cloud.aiplatform.models.Model

Registers a model and returns a Model representing the registered Model resource.

See more: vertexai.preview.register

vertexai.preview.remote

remote(cls_or_method: typing.Any) -> typing.Any

Takes a class or method and add Vertex remote execution support.

See more: vertexai.preview.remote

vertexai.preview.start_run

start_run(
    run: str,
    *,
    tensorboard: typing.Optional[
        typing.Union[
            google.cloud.aiplatform.tensorboard.tensorboard_resource.Tensorboard, str
        ]
    ] = None,
    resume=False
) -> google.cloud.aiplatform.metadata.experiment_run_resource.ExperimentRun

Start a run to current session.

See more: vertexai.preview.start_run

google.cloud.aiplatform.Artifact

Artifact(
    artifact_name: str,
    *,
    metadata_store_id: str = "default",
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
)

Retrieves an existing Metadata Artifact given a resource name or ID.

See more: google.cloud.aiplatform.Artifact

google.cloud.aiplatform.Artifact.create

create(
    schema_title: str,
    *,
    resource_id: typing.Optional[str] = None,
    uri: typing.Optional[str] = None,
    display_name: typing.Optional[str] = None,
    schema_version: typing.Optional[str] = None,
    description: typing.Optional[str] = None,
    metadata: typing.Optional[typing.Dict] = None,
    state: google.cloud.aiplatform_v1.types.artifact.Artifact.State = State.LIVE,
    metadata_store_id: typing.Optional[str] = "default",
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
) -> google.cloud.aiplatform.metadata.artifact.Artifact

Creates a new Metadata Artifact.

See more: google.cloud.aiplatform.Artifact.create

google.cloud.aiplatform.Artifact.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.Artifact.delete

google.cloud.aiplatform.Artifact.get

get(
    resource_id: str,
    metadata_store_id: str = "default",
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> google.cloud.aiplatform.metadata.resource._Resource

Retrieves a Metadata resource.

See more: google.cloud.aiplatform.Artifact.get

google.cloud.aiplatform.Artifact.get_or_create

get_or_create(
    resource_id: str,
    schema_title: str,
    display_name: typing.Optional[str] = None,
    schema_version: typing.Optional[str] = None,
    description: typing.Optional[str] = None,
    metadata: typing.Optional[typing.Dict] = None,
    metadata_store_id: str = "default",
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> google.cloud.aiplatform.metadata.resource._Resource

Retrieves or Creates (if it does not exist) a Metadata resource.

See more: google.cloud.aiplatform.Artifact.get_or_create

google.cloud.aiplatform.Artifact.get_with_uri

get_with_uri(
    uri: str,
    *,
    metadata_store_id: typing.Optional[str] = "default",
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
) -> google.cloud.aiplatform.metadata.artifact.Artifact

Get an Artifact by it's uri.

See more: google.cloud.aiplatform.Artifact.get_with_uri

google.cloud.aiplatform.Artifact.list

list(
    filter: typing.Optional[str] = None,
    metadata_store_id: str = "default",
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    order_by: typing.Optional[str] = None,
) -> typing.List[google.cloud.aiplatform.metadata.resource._Resource]

List resources that match the list filter in target metadataStore.

See more: google.cloud.aiplatform.Artifact.list

google.cloud.aiplatform.Artifact.sync_resource

sync_resource()

Syncs local resource with the resource in metadata store.

See more: google.cloud.aiplatform.Artifact.sync_resource

google.cloud.aiplatform.Artifact.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.Artifact.to_dict

google.cloud.aiplatform.Artifact.update

update(
    metadata: typing.Optional[typing.Dict] = None,
    description: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
)

Updates an existing Metadata resource with new metadata.

See more: google.cloud.aiplatform.Artifact.update

google.cloud.aiplatform.Artifact.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.Artifact.wait

google.cloud.aiplatform.AutoMLForecastingTrainingJob

AutoMLForecastingTrainingJob(
    display_name: typing.Optional[str] = None,
    optimization_objective: typing.Optional[str] = None,
    column_specs: typing.Optional[typing.Dict[str, str]] = None,
    column_transformations: typing.Optional[
        typing.List[typing.Dict[str, typing.Dict[str, str]]]
    ] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    training_encryption_spec_key_name: typing.Optional[str] = None,
    model_encryption_spec_key_name: typing.Optional[str] = None,
)

Constructs a Forecasting Training Job.

See more: google.cloud.aiplatform.AutoMLForecastingTrainingJob

google.cloud.aiplatform.AutoMLForecastingTrainingJob.cancel

cancel() -> None

Starts asynchronous cancellation on the TrainingJob.

See more: google.cloud.aiplatform.AutoMLForecastingTrainingJob.cancel

google.cloud.aiplatform.AutoMLForecastingTrainingJob.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.AutoMLForecastingTrainingJob.delete

google.cloud.aiplatform.AutoMLForecastingTrainingJob.done

done() -> bool

Method indicating whether a job has completed.

See more: google.cloud.aiplatform.AutoMLForecastingTrainingJob.done

google.cloud.aiplatform.AutoMLForecastingTrainingJob.get

get(
    resource_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> google.cloud.aiplatform.training_jobs._TrainingJob

Get Training Job for the given resource_name.

See more: google.cloud.aiplatform.AutoMLForecastingTrainingJob.get

google.cloud.aiplatform.AutoMLForecastingTrainingJob.get_model

get_model(sync=True) -> google.cloud.aiplatform.models.Model

Vertex AI Model produced by this training, if one was produced.

See more: google.cloud.aiplatform.AutoMLForecastingTrainingJob.get_model

google.cloud.aiplatform.AutoMLForecastingTrainingJob.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.base.VertexAiResourceNoun]

List all instances of this TrainingJob resource.

See more: google.cloud.aiplatform.AutoMLForecastingTrainingJob.list

google.cloud.aiplatform.AutoMLForecastingTrainingJob.run

run(
    dataset: google.cloud.aiplatform.datasets.time_series_dataset.TimeSeriesDataset,
    target_column: str,
    time_column: str,
    time_series_identifier_column: str,
    unavailable_at_forecast_columns: typing.List[str],
    available_at_forecast_columns: typing.List[str],
    forecast_horizon: int,
    data_granularity_unit: str,
    data_granularity_count: int,
    training_fraction_split: typing.Optional[float] = None,
    validation_fraction_split: typing.Optional[float] = None,
    test_fraction_split: typing.Optional[float] = None,
    predefined_split_column_name: typing.Optional[str] = None,
    timestamp_split_column_name: typing.Optional[str] = None,
    weight_column: typing.Optional[str] = None,
    time_series_attribute_columns: typing.Optional[typing.List[str]] = None,
    context_window: typing.Optional[int] = None,
    export_evaluated_data_items: bool = False,
    export_evaluated_data_items_bigquery_destination_uri: typing.Optional[str] = None,
    export_evaluated_data_items_override_destination: bool = False,
    quantiles: typing.Optional[typing.List[float]] = None,
    validation_options: typing.Optional[str] = None,
    budget_milli_node_hours: int = 1000,
    model_display_name: typing.Optional[str] = None,
    model_labels: typing.Optional[typing.Dict[str, str]] = None,
    model_id: typing.Optional[str] = None,
    parent_model: typing.Optional[str] = None,
    is_default_version: typing.Optional[bool] = True,
    model_version_aliases: typing.Optional[typing.Sequence[str]] = None,
    model_version_description: typing.Optional[str] = None,
    additional_experiments: typing.Optional[typing.List[str]] = None,
    hierarchy_group_columns: typing.Optional[typing.List[str]] = None,
    hierarchy_group_total_weight: typing.Optional[float] = None,
    hierarchy_temporal_total_weight: typing.Optional[float] = None,
    hierarchy_group_temporal_total_weight: typing.Optional[float] = None,
    window_column: typing.Optional[str] = None,
    window_stride_length: typing.Optional[int] = None,
    window_max_count: typing.Optional[int] = None,
    holiday_regions: typing.Optional[typing.List[str]] = None,
    sync: bool = True,
    create_request_timeout: typing.Optional[float] = None,
    enable_probabilistic_inference: bool = False,
) -> google.cloud.aiplatform.models.Model

Runs the training job and returns a model.

See more: google.cloud.aiplatform.AutoMLForecastingTrainingJob.run

google.cloud.aiplatform.AutoMLForecastingTrainingJob.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.AutoMLForecastingTrainingJob.to_dict

google.cloud.aiplatform.AutoMLForecastingTrainingJob.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.AutoMLForecastingTrainingJob.wait

google.cloud.aiplatform.AutoMLForecastingTrainingJob.wait_for_resource_creation

wait_for_resource_creation() -> None

Waits until resource has been created.

See more: google.cloud.aiplatform.AutoMLForecastingTrainingJob.wait_for_resource_creation

google.cloud.aiplatform.AutoMLImageTrainingJob.cancel

cancel() -> None

Starts asynchronous cancellation on the TrainingJob.

See more: google.cloud.aiplatform.AutoMLImageTrainingJob.cancel

google.cloud.aiplatform.AutoMLImageTrainingJob.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.AutoMLImageTrainingJob.delete

google.cloud.aiplatform.AutoMLImageTrainingJob.done

done() -> bool

Method indicating whether a job has completed.

See more: google.cloud.aiplatform.AutoMLImageTrainingJob.done

google.cloud.aiplatform.AutoMLImageTrainingJob.get

get(
    resource_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> google.cloud.aiplatform.training_jobs._TrainingJob

Get Training Job for the given resource_name.

See more: google.cloud.aiplatform.AutoMLImageTrainingJob.get

google.cloud.aiplatform.AutoMLImageTrainingJob.get_model

get_model(sync=True) -> google.cloud.aiplatform.models.Model

Vertex AI Model produced by this training, if one was produced.

See more: google.cloud.aiplatform.AutoMLImageTrainingJob.get_model

google.cloud.aiplatform.AutoMLImageTrainingJob.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.base.VertexAiResourceNoun]

List all instances of this TrainingJob resource.

See more: google.cloud.aiplatform.AutoMLImageTrainingJob.list

google.cloud.aiplatform.AutoMLImageTrainingJob.run

run(
    dataset: google.cloud.aiplatform.datasets.image_dataset.ImageDataset,
    training_fraction_split: typing.Optional[float] = None,
    validation_fraction_split: typing.Optional[float] = None,
    test_fraction_split: typing.Optional[float] = None,
    training_filter_split: typing.Optional[str] = None,
    validation_filter_split: typing.Optional[str] = None,
    test_filter_split: typing.Optional[str] = None,
    budget_milli_node_hours: typing.Optional[int] = None,
    model_display_name: typing.Optional[str] = None,
    model_labels: typing.Optional[typing.Dict[str, str]] = None,
    model_id: typing.Optional[str] = None,
    parent_model: typing.Optional[str] = None,
    is_default_version: typing.Optional[bool] = True,
    model_version_aliases: typing.Optional[typing.Sequence[str]] = None,
    model_version_description: typing.Optional[str] = None,
    disable_early_stopping: bool = False,
    sync: bool = True,
    create_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.models.Model

Runs the AutoML Image training job and returns a model.

See more: google.cloud.aiplatform.AutoMLImageTrainingJob.run

google.cloud.aiplatform.AutoMLImageTrainingJob.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.AutoMLImageTrainingJob.to_dict

google.cloud.aiplatform.AutoMLImageTrainingJob.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.AutoMLImageTrainingJob.wait

google.cloud.aiplatform.AutoMLImageTrainingJob.wait_for_resource_creation

wait_for_resource_creation() -> None

Waits until resource has been created.

See more: google.cloud.aiplatform.AutoMLImageTrainingJob.wait_for_resource_creation

google.cloud.aiplatform.AutoMLTabularTrainingJob.cancel

cancel() -> None

Starts asynchronous cancellation on the TrainingJob.

See more: google.cloud.aiplatform.AutoMLTabularTrainingJob.cancel

google.cloud.aiplatform.AutoMLTabularTrainingJob.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.AutoMLTabularTrainingJob.delete

google.cloud.aiplatform.AutoMLTabularTrainingJob.done

done() -> bool

Method indicating whether a job has completed.

See more: google.cloud.aiplatform.AutoMLTabularTrainingJob.done

google.cloud.aiplatform.AutoMLTabularTrainingJob.get

get(
    resource_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> google.cloud.aiplatform.training_jobs._TrainingJob

Get Training Job for the given resource_name.

See more: google.cloud.aiplatform.AutoMLTabularTrainingJob.get

google.cloud.aiplatform.AutoMLTabularTrainingJob.get_auto_column_specs

get_auto_column_specs(
    dataset: google.cloud.aiplatform.datasets.tabular_dataset.TabularDataset,
    target_column: str,
) -> typing.Dict[str, str]

Returns a dict with all non-target columns as keys and 'auto' as values.

See more: google.cloud.aiplatform.AutoMLTabularTrainingJob.get_auto_column_specs

google.cloud.aiplatform.AutoMLTabularTrainingJob.get_model

get_model(sync=True) -> google.cloud.aiplatform.models.Model

Vertex AI Model produced by this training, if one was produced.

See more: google.cloud.aiplatform.AutoMLTabularTrainingJob.get_model

google.cloud.aiplatform.AutoMLTabularTrainingJob.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.base.VertexAiResourceNoun]

List all instances of this TrainingJob resource.

See more: google.cloud.aiplatform.AutoMLTabularTrainingJob.list

google.cloud.aiplatform.AutoMLTabularTrainingJob.run

run(
    dataset: google.cloud.aiplatform.datasets.tabular_dataset.TabularDataset,
    target_column: str,
    training_fraction_split: typing.Optional[float] = None,
    validation_fraction_split: typing.Optional[float] = None,
    test_fraction_split: typing.Optional[float] = None,
    predefined_split_column_name: typing.Optional[str] = None,
    timestamp_split_column_name: typing.Optional[str] = None,
    weight_column: typing.Optional[str] = None,
    budget_milli_node_hours: int = 1000,
    model_display_name: typing.Optional[str] = None,
    model_labels: typing.Optional[typing.Dict[str, str]] = None,
    model_id: typing.Optional[str] = None,
    parent_model: typing.Optional[str] = None,
    is_default_version: typing.Optional[bool] = True,
    model_version_aliases: typing.Optional[typing.Sequence[str]] = None,
    model_version_description: typing.Optional[str] = None,
    disable_early_stopping: bool = False,
    export_evaluated_data_items: bool = False,
    export_evaluated_data_items_bigquery_destination_uri: typing.Optional[str] = None,
    export_evaluated_data_items_override_destination: bool = False,
    additional_experiments: typing.Optional[typing.List[str]] = None,
    sync: bool = True,
    create_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.models.Model

Runs the training job and returns a model.

See more: google.cloud.aiplatform.AutoMLTabularTrainingJob.run

google.cloud.aiplatform.AutoMLTabularTrainingJob.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.AutoMLTabularTrainingJob.to_dict

google.cloud.aiplatform.AutoMLTabularTrainingJob.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.AutoMLTabularTrainingJob.wait

google.cloud.aiplatform.AutoMLTabularTrainingJob.wait_for_resource_creation

wait_for_resource_creation() -> None

Waits until resource has been created.

See more: google.cloud.aiplatform.AutoMLTabularTrainingJob.wait_for_resource_creation

google.cloud.aiplatform.AutoMLTextTrainingJob.cancel

cancel() -> None

Starts asynchronous cancellation on the TrainingJob.

See more: google.cloud.aiplatform.AutoMLTextTrainingJob.cancel

google.cloud.aiplatform.AutoMLTextTrainingJob.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.AutoMLTextTrainingJob.delete

google.cloud.aiplatform.AutoMLTextTrainingJob.done

done() -> bool

Method indicating whether a job has completed.

See more: google.cloud.aiplatform.AutoMLTextTrainingJob.done

google.cloud.aiplatform.AutoMLTextTrainingJob.get

get(
    resource_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> google.cloud.aiplatform.training_jobs._TrainingJob

Get Training Job for the given resource_name.

See more: google.cloud.aiplatform.AutoMLTextTrainingJob.get

google.cloud.aiplatform.AutoMLTextTrainingJob.get_model

get_model(sync=True) -> google.cloud.aiplatform.models.Model

Vertex AI Model produced by this training, if one was produced.

See more: google.cloud.aiplatform.AutoMLTextTrainingJob.get_model

google.cloud.aiplatform.AutoMLTextTrainingJob.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.base.VertexAiResourceNoun]

List all instances of this TrainingJob resource.

See more: google.cloud.aiplatform.AutoMLTextTrainingJob.list

google.cloud.aiplatform.AutoMLTextTrainingJob.run

run(
    dataset: google.cloud.aiplatform.datasets.text_dataset.TextDataset,
    training_fraction_split: typing.Optional[float] = None,
    validation_fraction_split: typing.Optional[float] = None,
    test_fraction_split: typing.Optional[float] = None,
    training_filter_split: typing.Optional[str] = None,
    validation_filter_split: typing.Optional[str] = None,
    test_filter_split: typing.Optional[str] = None,
    model_display_name: typing.Optional[str] = None,
    model_labels: typing.Optional[typing.Dict[str, str]] = None,
    model_id: typing.Optional[str] = None,
    parent_model: typing.Optional[str] = None,
    is_default_version: typing.Optional[bool] = True,
    model_version_aliases: typing.Optional[typing.Sequence[str]] = None,
    model_version_description: typing.Optional[str] = None,
    sync: bool = True,
    create_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.models.Model

Runs the training job and returns a model.

See more: google.cloud.aiplatform.AutoMLTextTrainingJob.run

google.cloud.aiplatform.AutoMLTextTrainingJob.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.AutoMLTextTrainingJob.to_dict

google.cloud.aiplatform.AutoMLTextTrainingJob.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.AutoMLTextTrainingJob.wait

google.cloud.aiplatform.AutoMLTextTrainingJob.wait_for_resource_creation

wait_for_resource_creation() -> None

Waits until resource has been created.

See more: google.cloud.aiplatform.AutoMLTextTrainingJob.wait_for_resource_creation

google.cloud.aiplatform.AutoMLVideoTrainingJob.cancel

cancel() -> None

Starts asynchronous cancellation on the TrainingJob.

See more: google.cloud.aiplatform.AutoMLVideoTrainingJob.cancel

google.cloud.aiplatform.AutoMLVideoTrainingJob.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.AutoMLVideoTrainingJob.delete

google.cloud.aiplatform.AutoMLVideoTrainingJob.done

done() -> bool

Method indicating whether a job has completed.

See more: google.cloud.aiplatform.AutoMLVideoTrainingJob.done

google.cloud.aiplatform.AutoMLVideoTrainingJob.get

get(
    resource_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> google.cloud.aiplatform.training_jobs._TrainingJob

Get Training Job for the given resource_name.

See more: google.cloud.aiplatform.AutoMLVideoTrainingJob.get

google.cloud.aiplatform.AutoMLVideoTrainingJob.get_model

get_model(sync=True) -> google.cloud.aiplatform.models.Model

Vertex AI Model produced by this training, if one was produced.

See more: google.cloud.aiplatform.AutoMLVideoTrainingJob.get_model

google.cloud.aiplatform.AutoMLVideoTrainingJob.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.base.VertexAiResourceNoun]

List all instances of this TrainingJob resource.

See more: google.cloud.aiplatform.AutoMLVideoTrainingJob.list

google.cloud.aiplatform.AutoMLVideoTrainingJob.run

run(
    dataset: google.cloud.aiplatform.datasets.video_dataset.VideoDataset,
    training_fraction_split: typing.Optional[float] = None,
    test_fraction_split: typing.Optional[float] = None,
    training_filter_split: typing.Optional[str] = None,
    test_filter_split: typing.Optional[str] = None,
    model_display_name: typing.Optional[str] = None,
    model_labels: typing.Optional[typing.Dict[str, str]] = None,
    model_id: typing.Optional[str] = None,
    parent_model: typing.Optional[str] = None,
    is_default_version: typing.Optional[bool] = True,
    model_version_aliases: typing.Optional[typing.Sequence[str]] = None,
    model_version_description: typing.Optional[str] = None,
    sync: bool = True,
    create_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.models.Model

Runs the AutoML Video training job and returns a model.

See more: google.cloud.aiplatform.AutoMLVideoTrainingJob.run

google.cloud.aiplatform.AutoMLVideoTrainingJob.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.AutoMLVideoTrainingJob.to_dict

google.cloud.aiplatform.AutoMLVideoTrainingJob.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.AutoMLVideoTrainingJob.wait

google.cloud.aiplatform.AutoMLVideoTrainingJob.wait_for_resource_creation

wait_for_resource_creation() -> None

Waits until resource has been created.

See more: google.cloud.aiplatform.AutoMLVideoTrainingJob.wait_for_resource_creation

google.cloud.aiplatform.BatchPredictionJob.cancel

cancel() -> None

Cancels this Job.

See more: google.cloud.aiplatform.BatchPredictionJob.cancel

google.cloud.aiplatform.BatchPredictionJob.create

create(
    job_display_name: str,
    model_name: typing.Union[str, google.cloud.aiplatform.models.Model],
    instances_format: str = "jsonl",
    predictions_format: str = "jsonl",
    gcs_source: typing.Optional[typing.Union[str, typing.Sequence[str]]] = None,
    bigquery_source: typing.Optional[str] = None,
    gcs_destination_prefix: typing.Optional[str] = None,
    bigquery_destination_prefix: typing.Optional[str] = None,
    model_parameters: typing.Optional[typing.Dict] = None,
    machine_type: typing.Optional[str] = None,
    accelerator_type: typing.Optional[str] = None,
    accelerator_count: typing.Optional[int] = None,
    starting_replica_count: typing.Optional[int] = None,
    max_replica_count: typing.Optional[int] = None,
    generate_explanation: typing.Optional[bool] = False,
    explanation_metadata: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation_metadata.ExplanationMetadata
    ] = None,
    explanation_parameters: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation.ExplanationParameters
    ] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    sync: bool = True,
    create_request_timeout: typing.Optional[float] = None,
    batch_size: typing.Optional[int] = None,
    model_monitoring_objective_config: typing.Optional[
        google.cloud.aiplatform.model_monitoring.objective.ObjectiveConfig
    ] = None,
    model_monitoring_alert_config: typing.Optional[
        google.cloud.aiplatform.model_monitoring.alert.AlertConfig
    ] = None,
    analysis_instance_schema_uri: typing.Optional[str] = None,
    service_account: typing.Optional[str] = None,
) -> google.cloud.aiplatform.jobs.BatchPredictionJob

Create a batch prediction job.

See more: google.cloud.aiplatform.BatchPredictionJob.create

google.cloud.aiplatform.BatchPredictionJob.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.BatchPredictionJob.delete

google.cloud.aiplatform.BatchPredictionJob.done

done() -> bool

Method indicating whether a job has completed.

See more: google.cloud.aiplatform.BatchPredictionJob.done

google.cloud.aiplatform.BatchPredictionJob.iter_outputs

iter_outputs(
    bq_max_results: typing.Optional[int] = 100,
) -> typing.Union[
    typing.Iterable[storage.Blob], typing.Iterable[bigquery.table.RowIterator]
]

Returns an Iterable object to traverse the output files, either a list of GCS Blobs or a BigQuery RowIterator depending on the output config set when the BatchPredictionJob was created.

See more: google.cloud.aiplatform.BatchPredictionJob.iter_outputs

google.cloud.aiplatform.BatchPredictionJob.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.base.VertexAiResourceNoun]

List all instances of this Job Resource.

See more: google.cloud.aiplatform.BatchPredictionJob.list

google.cloud.aiplatform.BatchPredictionJob.submit

submit(
    *,
    job_display_name: typing.Optional[str] = None,
    model_name: typing.Union[str, google.cloud.aiplatform.models.Model],
    instances_format: str = "jsonl",
    predictions_format: str = "jsonl",
    gcs_source: typing.Optional[typing.Union[str, typing.Sequence[str]]] = None,
    bigquery_source: typing.Optional[str] = None,
    gcs_destination_prefix: typing.Optional[str] = None,
    bigquery_destination_prefix: typing.Optional[str] = None,
    model_parameters: typing.Optional[typing.Dict] = None,
    machine_type: typing.Optional[str] = None,
    accelerator_type: typing.Optional[str] = None,
    accelerator_count: typing.Optional[int] = None,
    starting_replica_count: typing.Optional[int] = None,
    max_replica_count: typing.Optional[int] = None,
    generate_explanation: typing.Optional[bool] = False,
    explanation_metadata: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation_metadata.ExplanationMetadata
    ] = None,
    explanation_parameters: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation.ExplanationParameters
    ] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    create_request_timeout: typing.Optional[float] = None,
    batch_size: typing.Optional[int] = None,
    model_monitoring_objective_config: typing.Optional[
        google.cloud.aiplatform.model_monitoring.objective.ObjectiveConfig
    ] = None,
    model_monitoring_alert_config: typing.Optional[
        google.cloud.aiplatform.model_monitoring.alert.AlertConfig
    ] = None,
    analysis_instance_schema_uri: typing.Optional[str] = None,
    service_account: typing.Optional[str] = None
) -> google.cloud.aiplatform.jobs.BatchPredictionJob

Sumbit a batch prediction job (not waiting for completion).

See more: google.cloud.aiplatform.BatchPredictionJob.submit

google.cloud.aiplatform.BatchPredictionJob.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.BatchPredictionJob.to_dict

google.cloud.aiplatform.BatchPredictionJob.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.BatchPredictionJob.wait

google.cloud.aiplatform.BatchPredictionJob.wait_for_completion

wait_for_completion() -> None

Waits for job to complete.

See more: google.cloud.aiplatform.BatchPredictionJob.wait_for_completion

google.cloud.aiplatform.BatchPredictionJob.wait_for_resource_creation

wait_for_resource_creation() -> None

Waits until resource has been created.

See more: google.cloud.aiplatform.BatchPredictionJob.wait_for_resource_creation

google.cloud.aiplatform.CustomContainerTrainingJob

CustomContainerTrainingJob(
    display_name: str,
    container_uri: str,
    command: typing.Optional[typing.Sequence[str]] = None,
    model_serving_container_image_uri: typing.Optional[str] = None,
    model_serving_container_predict_route: typing.Optional[str] = None,
    model_serving_container_health_route: typing.Optional[str] = None,
    model_serving_container_command: typing.Optional[typing.Sequence[str]] = None,
    model_serving_container_args: typing.Optional[typing.Sequence[str]] = None,
    model_serving_container_environment_variables: typing.Optional[
        typing.Dict[str, str]
    ] = None,
    model_serving_container_ports: typing.Optional[typing.Sequence[int]] = None,
    model_description: typing.Optional[str] = None,
    model_instance_schema_uri: typing.Optional[str] = None,
    model_parameters_schema_uri: typing.Optional[str] = None,
    model_prediction_schema_uri: typing.Optional[str] = None,
    explanation_metadata: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation_metadata.ExplanationMetadata
    ] = None,
    explanation_parameters: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation.ExplanationParameters
    ] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    training_encryption_spec_key_name: typing.Optional[str] = None,
    model_encryption_spec_key_name: typing.Optional[str] = None,
    staging_bucket: typing.Optional[str] = None,
)

Constructs a Custom Container Training Job.

See more: google.cloud.aiplatform.CustomContainerTrainingJob

google.cloud.aiplatform.CustomContainerTrainingJob.cancel

cancel() -> None

Starts asynchronous cancellation on the TrainingJob.

See more: google.cloud.aiplatform.CustomContainerTrainingJob.cancel

google.cloud.aiplatform.CustomContainerTrainingJob.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.CustomContainerTrainingJob.delete

google.cloud.aiplatform.CustomContainerTrainingJob.done

done() -> bool

Method indicating whether a job has completed.

See more: google.cloud.aiplatform.CustomContainerTrainingJob.done

google.cloud.aiplatform.CustomContainerTrainingJob.get

get(
    resource_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> google.cloud.aiplatform.training_jobs._TrainingJob

Get Training Job for the given resource_name.

See more: google.cloud.aiplatform.CustomContainerTrainingJob.get

google.cloud.aiplatform.CustomContainerTrainingJob.get_model

get_model(sync=True) -> google.cloud.aiplatform.models.Model

Vertex AI Model produced by this training, if one was produced.

See more: google.cloud.aiplatform.CustomContainerTrainingJob.get_model

google.cloud.aiplatform.CustomContainerTrainingJob.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.base.VertexAiResourceNoun]

List all instances of this TrainingJob resource.

See more: google.cloud.aiplatform.CustomContainerTrainingJob.list

google.cloud.aiplatform.CustomContainerTrainingJob.run

run(
    dataset: typing.Optional[
        typing.Union[
            google.cloud.aiplatform.datasets.image_dataset.ImageDataset,
            google.cloud.aiplatform.datasets.tabular_dataset.TabularDataset,
            google.cloud.aiplatform.datasets.text_dataset.TextDataset,
            google.cloud.aiplatform.datasets.video_dataset.VideoDataset,
        ]
    ] = None,
    annotation_schema_uri: typing.Optional[str] = None,
    model_display_name: typing.Optional[str] = None,
    model_labels: typing.Optional[typing.Dict[str, str]] = None,
    model_id: typing.Optional[str] = None,
    parent_model: typing.Optional[str] = None,
    is_default_version: typing.Optional[bool] = True,
    model_version_aliases: typing.Optional[typing.Sequence[str]] = None,
    model_version_description: typing.Optional[str] = None,
    base_output_dir: typing.Optional[str] = None,
    service_account: typing.Optional[str] = None,
    network: typing.Optional[str] = None,
    bigquery_destination: typing.Optional[str] = None,
    args: typing.Optional[typing.List[typing.Union[str, float, int]]] = None,
    environment_variables: typing.Optional[typing.Dict[str, str]] = None,
    replica_count: int = 1,
    machine_type: str = "n1-standard-4",
    accelerator_type: str = "ACCELERATOR_TYPE_UNSPECIFIED",
    accelerator_count: int = 0,
    boot_disk_type: str = "pd-ssd",
    boot_disk_size_gb: int = 100,
    reduction_server_replica_count: int = 0,
    reduction_server_machine_type: typing.Optional[str] = None,
    reduction_server_container_uri: typing.Optional[str] = None,
    training_fraction_split: typing.Optional[float] = None,
    validation_fraction_split: typing.Optional[float] = None,
    test_fraction_split: typing.Optional[float] = None,
    training_filter_split: typing.Optional[str] = None,
    validation_filter_split: typing.Optional[str] = None,
    test_filter_split: typing.Optional[str] = None,
    predefined_split_column_name: typing.Optional[str] = None,
    timestamp_split_column_name: typing.Optional[str] = None,
    timeout: typing.Optional[int] = None,
    restart_job_on_worker_restart: bool = False,
    enable_web_access: bool = False,
    enable_dashboard_access: bool = False,
    tensorboard: typing.Optional[str] = None,
    sync=True,
    create_request_timeout: typing.Optional[float] = None,
    disable_retries: bool = False,
    persistent_resource_id: typing.Optional[str] = None,
) -> typing.Optional[google.cloud.aiplatform.models.Model]

Runs the custom training job.

See more: google.cloud.aiplatform.CustomContainerTrainingJob.run

google.cloud.aiplatform.CustomContainerTrainingJob.submit

submit(
    dataset: typing.Optional[
        typing.Union[
            google.cloud.aiplatform.datasets.image_dataset.ImageDataset,
            google.cloud.aiplatform.datasets.tabular_dataset.TabularDataset,
            google.cloud.aiplatform.datasets.text_dataset.TextDataset,
            google.cloud.aiplatform.datasets.video_dataset.VideoDataset,
        ]
    ] = None,
    annotation_schema_uri: typing.Optional[str] = None,
    model_display_name: typing.Optional[str] = None,
    model_labels: typing.Optional[typing.Dict[str, str]] = None,
    model_id: typing.Optional[str] = None,
    parent_model: typing.Optional[str] = None,
    is_default_version: typing.Optional[bool] = True,
    model_version_aliases: typing.Optional[typing.Sequence[str]] = None,
    model_version_description: typing.Optional[str] = None,
    base_output_dir: typing.Optional[str] = None,
    service_account: typing.Optional[str] = None,
    network: typing.Optional[str] = None,
    bigquery_destination: typing.Optional[str] = None,
    args: typing.Optional[typing.List[typing.Union[str, float, int]]] = None,
    environment_variables: typing.Optional[typing.Dict[str, str]] = None,
    replica_count: int = 1,
    machine_type: str = "n1-standard-4",
    accelerator_type: str = "ACCELERATOR_TYPE_UNSPECIFIED",
    accelerator_count: int = 0,
    boot_disk_type: str = "pd-ssd",
    boot_disk_size_gb: int = 100,
    reduction_server_replica_count: int = 0,
    reduction_server_machine_type: typing.Optional[str] = None,
    reduction_server_container_uri: typing.Optional[str] = None,
    training_fraction_split: typing.Optional[float] = None,
    validation_fraction_split: typing.Optional[float] = None,
    test_fraction_split: typing.Optional[float] = None,
    training_filter_split: typing.Optional[str] = None,
    validation_filter_split: typing.Optional[str] = None,
    test_filter_split: typing.Optional[str] = None,
    predefined_split_column_name: typing.Optional[str] = None,
    timestamp_split_column_name: typing.Optional[str] = None,
    timeout: typing.Optional[int] = None,
    restart_job_on_worker_restart: bool = False,
    enable_web_access: bool = False,
    enable_dashboard_access: bool = False,
    tensorboard: typing.Optional[str] = None,
    sync=True,
    create_request_timeout: typing.Optional[float] = None,
    disable_retries: bool = False,
    persistent_resource_id: typing.Optional[str] = None,
) -> typing.Optional[google.cloud.aiplatform.models.Model]

Submits the custom training job without blocking until completion.

See more: google.cloud.aiplatform.CustomContainerTrainingJob.submit

google.cloud.aiplatform.CustomContainerTrainingJob.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.CustomContainerTrainingJob.to_dict

google.cloud.aiplatform.CustomContainerTrainingJob.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.CustomContainerTrainingJob.wait

google.cloud.aiplatform.CustomContainerTrainingJob.wait_for_resource_creation

wait_for_resource_creation() -> None

Waits until resource has been created.

See more: google.cloud.aiplatform.CustomContainerTrainingJob.wait_for_resource_creation

google.cloud.aiplatform.CustomJob

CustomJob(
    display_name: str,
    worker_pool_specs: typing.Union[
        typing.List[typing.Dict],
        typing.List[google.cloud.aiplatform_v1.types.custom_job.WorkerPoolSpec],
    ],
    base_output_dir: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    staging_bucket: typing.Optional[str] = None,
    persistent_resource_id: typing.Optional[str] = None,
)

Constructs a Custom Job with Worker Pool Specs.

See more: google.cloud.aiplatform.CustomJob

google.cloud.aiplatform.CustomJob.cancel

cancel() -> None

Cancels this Job.

See more: google.cloud.aiplatform.CustomJob.cancel

google.cloud.aiplatform.CustomJob.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.CustomJob.delete

google.cloud.aiplatform.CustomJob.done

done() -> bool

Method indicating whether a job has completed.

See more: google.cloud.aiplatform.CustomJob.done

google.cloud.aiplatform.CustomJob.from_local_script

from_local_script(
    display_name: str,
    script_path: str,
    container_uri: str,
    enable_autolog: bool = False,
    args: typing.Optional[typing.Sequence[str]] = None,
    requirements: typing.Optional[typing.Sequence[str]] = None,
    environment_variables: typing.Optional[typing.Dict[str, str]] = None,
    replica_count: int = 1,
    machine_type: str = "n1-standard-4",
    accelerator_type: str = "ACCELERATOR_TYPE_UNSPECIFIED",
    accelerator_count: int = 0,
    boot_disk_type: str = "pd-ssd",
    boot_disk_size_gb: int = 100,
    reduction_server_replica_count: int = 0,
    reduction_server_machine_type: typing.Optional[str] = None,
    reduction_server_container_uri: typing.Optional[str] = None,
    base_output_dir: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    staging_bucket: typing.Optional[str] = None,
    persistent_resource_id: typing.Optional[str] = None,
) -> google.cloud.aiplatform.jobs.CustomJob

Configures a custom job from a local script.

See more: google.cloud.aiplatform.CustomJob.from_local_script

google.cloud.aiplatform.CustomJob.get

get(
    resource_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> google.cloud.aiplatform.jobs._RunnableJob

Get a Vertex AI Job for the given resource_name.

See more: google.cloud.aiplatform.CustomJob.get

google.cloud.aiplatform.CustomJob.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.base.VertexAiResourceNoun]

List all instances of this Job Resource.

See more: google.cloud.aiplatform.CustomJob.list

google.cloud.aiplatform.CustomJob.run

run(
    service_account: typing.Optional[str] = None,
    network: typing.Optional[str] = None,
    timeout: typing.Optional[int] = None,
    restart_job_on_worker_restart: bool = False,
    enable_web_access: bool = False,
    experiment: typing.Optional[
        typing.Union[
            google.cloud.aiplatform.metadata.experiment_resources.Experiment, str
        ]
    ] = None,
    experiment_run: typing.Optional[
        typing.Union[
            google.cloud.aiplatform.metadata.experiment_run_resource.ExperimentRun, str
        ]
    ] = None,
    tensorboard: typing.Optional[str] = None,
    sync: bool = True,
    create_request_timeout: typing.Optional[float] = None,
    disable_retries: bool = False,
    persistent_resource_id: typing.Optional[str] = None,
) -> None

Run this configured CustomJob.

See more: google.cloud.aiplatform.CustomJob.run

google.cloud.aiplatform.CustomJob.submit

submit(
    *,
    service_account: typing.Optional[str] = None,
    network: typing.Optional[str] = None,
    timeout: typing.Optional[int] = None,
    restart_job_on_worker_restart: bool = False,
    enable_web_access: bool = False,
    experiment: typing.Optional[
        typing.Union[
            google.cloud.aiplatform.metadata.experiment_resources.Experiment, str
        ]
    ] = None,
    experiment_run: typing.Optional[
        typing.Union[
            google.cloud.aiplatform.metadata.experiment_run_resource.ExperimentRun, str
        ]
    ] = None,
    tensorboard: typing.Optional[str] = None,
    create_request_timeout: typing.Optional[float] = None,
    disable_retries: bool = False,
    persistent_resource_id: typing.Optional[str] = None
) -> None

Submit the configured CustomJob.

See more: google.cloud.aiplatform.CustomJob.submit

google.cloud.aiplatform.CustomJob.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.CustomJob.to_dict

google.cloud.aiplatform.CustomJob.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.CustomJob.wait

google.cloud.aiplatform.CustomJob.wait_for_completion

wait_for_completion() -> None

Waits for job to complete.

See more: google.cloud.aiplatform.CustomJob.wait_for_completion

google.cloud.aiplatform.CustomJob.wait_for_resource_creation

wait_for_resource_creation() -> None

Waits until resource has been created.

See more: google.cloud.aiplatform.CustomJob.wait_for_resource_creation

google.cloud.aiplatform.CustomPythonPackageTrainingJob

CustomPythonPackageTrainingJob(
    display_name: str,
    python_package_gcs_uri: typing.Union[str, typing.List[str]],
    python_module_name: str,
    container_uri: str,
    model_serving_container_image_uri: typing.Optional[str] = None,
    model_serving_container_predict_route: typing.Optional[str] = None,
    model_serving_container_health_route: typing.Optional[str] = None,
    model_serving_container_command: typing.Optional[typing.Sequence[str]] = None,
    model_serving_container_args: typing.Optional[typing.Sequence[str]] = None,
    model_serving_container_environment_variables: typing.Optional[
        typing.Dict[str, str]
    ] = None,
    model_serving_container_ports: typing.Optional[typing.Sequence[int]] = None,
    model_description: typing.Optional[str] = None,
    model_instance_schema_uri: typing.Optional[str] = None,
    model_parameters_schema_uri: typing.Optional[str] = None,
    model_prediction_schema_uri: typing.Optional[str] = None,
    explanation_metadata: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation_metadata.ExplanationMetadata
    ] = None,
    explanation_parameters: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation.ExplanationParameters
    ] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    training_encryption_spec_key_name: typing.Optional[str] = None,
    model_encryption_spec_key_name: typing.Optional[str] = None,
    staging_bucket: typing.Optional[str] = None,
)

Constructs a Custom Training Job from a Python Package.

See more: google.cloud.aiplatform.CustomPythonPackageTrainingJob

google.cloud.aiplatform.CustomPythonPackageTrainingJob.cancel

cancel() -> None

Starts asynchronous cancellation on the TrainingJob.

See more: google.cloud.aiplatform.CustomPythonPackageTrainingJob.cancel

google.cloud.aiplatform.CustomPythonPackageTrainingJob.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.CustomPythonPackageTrainingJob.delete

google.cloud.aiplatform.CustomPythonPackageTrainingJob.done

done() -> bool

Method indicating whether a job has completed.

See more: google.cloud.aiplatform.CustomPythonPackageTrainingJob.done

google.cloud.aiplatform.CustomPythonPackageTrainingJob.get

get(
    resource_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> google.cloud.aiplatform.training_jobs._TrainingJob

Get Training Job for the given resource_name.

See more: google.cloud.aiplatform.CustomPythonPackageTrainingJob.get

google.cloud.aiplatform.CustomPythonPackageTrainingJob.get_model

get_model(sync=True) -> google.cloud.aiplatform.models.Model

Vertex AI Model produced by this training, if one was produced.

See more: google.cloud.aiplatform.CustomPythonPackageTrainingJob.get_model

google.cloud.aiplatform.CustomPythonPackageTrainingJob.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.base.VertexAiResourceNoun]

List all instances of this TrainingJob resource.

See more: google.cloud.aiplatform.CustomPythonPackageTrainingJob.list

google.cloud.aiplatform.CustomPythonPackageTrainingJob.run

run(
    dataset: typing.Optional[
        typing.Union[
            google.cloud.aiplatform.datasets.image_dataset.ImageDataset,
            google.cloud.aiplatform.datasets.tabular_dataset.TabularDataset,
            google.cloud.aiplatform.datasets.text_dataset.TextDataset,
            google.cloud.aiplatform.datasets.video_dataset.VideoDataset,
        ]
    ] = None,
    annotation_schema_uri: typing.Optional[str] = None,
    model_display_name: typing.Optional[str] = None,
    model_labels: typing.Optional[typing.Dict[str, str]] = None,
    model_id: typing.Optional[str] = None,
    parent_model: typing.Optional[str] = None,
    is_default_version: typing.Optional[bool] = True,
    model_version_aliases: typing.Optional[typing.Sequence[str]] = None,
    model_version_description: typing.Optional[str] = None,
    base_output_dir: typing.Optional[str] = None,
    service_account: typing.Optional[str] = None,
    network: typing.Optional[str] = None,
    bigquery_destination: typing.Optional[str] = None,
    args: typing.Optional[typing.List[typing.Union[str, float, int]]] = None,
    environment_variables: typing.Optional[typing.Dict[str, str]] = None,
    replica_count: int = 1,
    machine_type: str = "n1-standard-4",
    accelerator_type: str = "ACCELERATOR_TYPE_UNSPECIFIED",
    accelerator_count: int = 0,
    boot_disk_type: str = "pd-ssd",
    boot_disk_size_gb: int = 100,
    reduction_server_replica_count: int = 0,
    reduction_server_machine_type: typing.Optional[str] = None,
    reduction_server_container_uri: typing.Optional[str] = None,
    training_fraction_split: typing.Optional[float] = None,
    validation_fraction_split: typing.Optional[float] = None,
    test_fraction_split: typing.Optional[float] = None,
    training_filter_split: typing.Optional[str] = None,
    validation_filter_split: typing.Optional[str] = None,
    test_filter_split: typing.Optional[str] = None,
    predefined_split_column_name: typing.Optional[str] = None,
    timestamp_split_column_name: typing.Optional[str] = None,
    timeout: typing.Optional[int] = None,
    restart_job_on_worker_restart: bool = False,
    enable_web_access: bool = False,
    enable_dashboard_access: bool = False,
    tensorboard: typing.Optional[str] = None,
    sync=True,
    create_request_timeout: typing.Optional[float] = None,
    disable_retries: bool = False,
    persistent_resource_id: typing.Optional[str] = None,
) -> typing.Optional[google.cloud.aiplatform.models.Model]

Runs the custom training job.

See more: google.cloud.aiplatform.CustomPythonPackageTrainingJob.run

google.cloud.aiplatform.CustomPythonPackageTrainingJob.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.CustomPythonPackageTrainingJob.to_dict

google.cloud.aiplatform.CustomPythonPackageTrainingJob.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.CustomPythonPackageTrainingJob.wait

google.cloud.aiplatform.CustomPythonPackageTrainingJob.wait_for_resource_creation

wait_for_resource_creation() -> None

Waits until resource has been created.

See more: google.cloud.aiplatform.CustomPythonPackageTrainingJob.wait_for_resource_creation

google.cloud.aiplatform.CustomTrainingJob

CustomTrainingJob(
    display_name: str,
    script_path: str,
    container_uri: str,
    requirements: typing.Optional[typing.Sequence[str]] = None,
    model_serving_container_image_uri: typing.Optional[str] = None,
    model_serving_container_predict_route: typing.Optional[str] = None,
    model_serving_container_health_route: typing.Optional[str] = None,
    model_serving_container_command: typing.Optional[typing.Sequence[str]] = None,
    model_serving_container_args: typing.Optional[typing.Sequence[str]] = None,
    model_serving_container_environment_variables: typing.Optional[
        typing.Dict[str, str]
    ] = None,
    model_serving_container_ports: typing.Optional[typing.Sequence[int]] = None,
    model_description: typing.Optional[str] = None,
    model_instance_schema_uri: typing.Optional[str] = None,
    model_parameters_schema_uri: typing.Optional[str] = None,
    model_prediction_schema_uri: typing.Optional[str] = None,
    explanation_metadata: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation_metadata.ExplanationMetadata
    ] = None,
    explanation_parameters: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation.ExplanationParameters
    ] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    training_encryption_spec_key_name: typing.Optional[str] = None,
    model_encryption_spec_key_name: typing.Optional[str] = None,
    staging_bucket: typing.Optional[str] = None,
)

Constructs a Custom Training Job from a Python script.

See more: google.cloud.aiplatform.CustomTrainingJob

google.cloud.aiplatform.CustomTrainingJob.cancel

cancel() -> None

Starts asynchronous cancellation on the TrainingJob.

See more: google.cloud.aiplatform.CustomTrainingJob.cancel

google.cloud.aiplatform.CustomTrainingJob.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.CustomTrainingJob.delete

google.cloud.aiplatform.CustomTrainingJob.done

done() -> bool

Method indicating whether a job has completed.

See more: google.cloud.aiplatform.CustomTrainingJob.done

google.cloud.aiplatform.CustomTrainingJob.get

get(
    resource_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> google.cloud.aiplatform.training_jobs._TrainingJob

Get Training Job for the given resource_name.

See more: google.cloud.aiplatform.CustomTrainingJob.get

google.cloud.aiplatform.CustomTrainingJob.get_model

get_model(sync=True) -> google.cloud.aiplatform.models.Model

Vertex AI Model produced by this training, if one was produced.

See more: google.cloud.aiplatform.CustomTrainingJob.get_model

google.cloud.aiplatform.CustomTrainingJob.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.base.VertexAiResourceNoun]

List all instances of this TrainingJob resource.

See more: google.cloud.aiplatform.CustomTrainingJob.list

google.cloud.aiplatform.CustomTrainingJob.run

run(
    dataset: typing.Optional[
        typing.Union[
            google.cloud.aiplatform.datasets.image_dataset.ImageDataset,
            google.cloud.aiplatform.datasets.tabular_dataset.TabularDataset,
            google.cloud.aiplatform.datasets.text_dataset.TextDataset,
            google.cloud.aiplatform.datasets.video_dataset.VideoDataset,
        ]
    ] = None,
    annotation_schema_uri: typing.Optional[str] = None,
    model_display_name: typing.Optional[str] = None,
    model_labels: typing.Optional[typing.Dict[str, str]] = None,
    model_id: typing.Optional[str] = None,
    parent_model: typing.Optional[str] = None,
    is_default_version: typing.Optional[bool] = True,
    model_version_aliases: typing.Optional[typing.Sequence[str]] = None,
    model_version_description: typing.Optional[str] = None,
    base_output_dir: typing.Optional[str] = None,
    service_account: typing.Optional[str] = None,
    network: typing.Optional[str] = None,
    bigquery_destination: typing.Optional[str] = None,
    args: typing.Optional[typing.List[typing.Union[str, float, int]]] = None,
    environment_variables: typing.Optional[typing.Dict[str, str]] = None,
    replica_count: int = 1,
    machine_type: str = "n1-standard-4",
    accelerator_type: str = "ACCELERATOR_TYPE_UNSPECIFIED",
    accelerator_count: int = 0,
    boot_disk_type: str = "pd-ssd",
    boot_disk_size_gb: int = 100,
    reduction_server_replica_count: int = 0,
    reduction_server_machine_type: typing.Optional[str] = None,
    reduction_server_container_uri: typing.Optional[str] = None,
    training_fraction_split: typing.Optional[float] = None,
    validation_fraction_split: typing.Optional[float] = None,
    test_fraction_split: typing.Optional[float] = None,
    training_filter_split: typing.Optional[str] = None,
    validation_filter_split: typing.Optional[str] = None,
    test_filter_split: typing.Optional[str] = None,
    predefined_split_column_name: typing.Optional[str] = None,
    timestamp_split_column_name: typing.Optional[str] = None,
    timeout: typing.Optional[int] = None,
    restart_job_on_worker_restart: bool = False,
    enable_web_access: bool = False,
    enable_dashboard_access: bool = False,
    tensorboard: typing.Optional[str] = None,
    sync=True,
    create_request_timeout: typing.Optional[float] = None,
    disable_retries: bool = False,
    persistent_resource_id: typing.Optional[str] = None,
) -> typing.Optional[google.cloud.aiplatform.models.Model]

Runs the custom training job.

See more: google.cloud.aiplatform.CustomTrainingJob.run

google.cloud.aiplatform.CustomTrainingJob.submit

submit(
    dataset: typing.Optional[
        typing.Union[
            google.cloud.aiplatform.datasets.image_dataset.ImageDataset,
            google.cloud.aiplatform.datasets.tabular_dataset.TabularDataset,
            google.cloud.aiplatform.datasets.text_dataset.TextDataset,
            google.cloud.aiplatform.datasets.video_dataset.VideoDataset,
        ]
    ] = None,
    annotation_schema_uri: typing.Optional[str] = None,
    model_display_name: typing.Optional[str] = None,
    model_labels: typing.Optional[typing.Dict[str, str]] = None,
    model_id: typing.Optional[str] = None,
    parent_model: typing.Optional[str] = None,
    is_default_version: typing.Optional[bool] = True,
    model_version_aliases: typing.Optional[typing.Sequence[str]] = None,
    model_version_description: typing.Optional[str] = None,
    base_output_dir: typing.Optional[str] = None,
    service_account: typing.Optional[str] = None,
    network: typing.Optional[str] = None,
    bigquery_destination: typing.Optional[str] = None,
    args: typing.Optional[typing.List[typing.Union[str, float, int]]] = None,
    environment_variables: typing.Optional[typing.Dict[str, str]] = None,
    replica_count: int = 1,
    machine_type: str = "n1-standard-4",
    accelerator_type: str = "ACCELERATOR_TYPE_UNSPECIFIED",
    accelerator_count: int = 0,
    boot_disk_type: str = "pd-ssd",
    boot_disk_size_gb: int = 100,
    reduction_server_replica_count: int = 0,
    reduction_server_machine_type: typing.Optional[str] = None,
    reduction_server_container_uri: typing.Optional[str] = None,
    training_fraction_split: typing.Optional[float] = None,
    validation_fraction_split: typing.Optional[float] = None,
    test_fraction_split: typing.Optional[float] = None,
    training_filter_split: typing.Optional[str] = None,
    validation_filter_split: typing.Optional[str] = None,
    test_filter_split: typing.Optional[str] = None,
    predefined_split_column_name: typing.Optional[str] = None,
    timestamp_split_column_name: typing.Optional[str] = None,
    timeout: typing.Optional[int] = None,
    restart_job_on_worker_restart: bool = False,
    enable_web_access: bool = False,
    enable_dashboard_access: bool = False,
    tensorboard: typing.Optional[str] = None,
    sync=True,
    create_request_timeout: typing.Optional[float] = None,
    disable_retries: bool = False,
    persistent_resource_id: typing.Optional[str] = None,
) -> typing.Optional[google.cloud.aiplatform.models.Model]

Submits the custom training job without blocking until completion.

See more: google.cloud.aiplatform.CustomTrainingJob.submit

google.cloud.aiplatform.CustomTrainingJob.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.CustomTrainingJob.to_dict

google.cloud.aiplatform.CustomTrainingJob.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.CustomTrainingJob.wait

google.cloud.aiplatform.CustomTrainingJob.wait_for_resource_creation

wait_for_resource_creation() -> None

Waits until resource has been created.

See more: google.cloud.aiplatform.CustomTrainingJob.wait_for_resource_creation

google.cloud.aiplatform.Endpoint.create

create(
    display_name: typing.Optional[str] = None,
    description: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    sync=True,
    create_request_timeout: typing.Optional[float] = None,
    endpoint_id: typing.Optional[str] = None,
    enable_request_response_logging=False,
    request_response_logging_sampling_rate: typing.Optional[float] = None,
    request_response_logging_bq_destination_table: typing.Optional[str] = None,
) -> google.cloud.aiplatform.models.Endpoint

Creates a new endpoint.

See more: google.cloud.aiplatform.Endpoint.create

google.cloud.aiplatform.Endpoint.delete

delete(force: bool = False, sync: bool = True) -> None

Deletes this Vertex AI Endpoint resource.

See more: google.cloud.aiplatform.Endpoint.delete

google.cloud.aiplatform.Endpoint.deploy

deploy(
    model: google.cloud.aiplatform.models.Model,
    deployed_model_display_name: typing.Optional[str] = None,
    traffic_percentage: int = 0,
    traffic_split: typing.Optional[typing.Dict[str, int]] = None,
    machine_type: typing.Optional[str] = None,
    min_replica_count: int = 1,
    max_replica_count: int = 1,
    accelerator_type: typing.Optional[str] = None,
    accelerator_count: typing.Optional[int] = None,
    service_account: typing.Optional[str] = None,
    explanation_metadata: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation_metadata.ExplanationMetadata
    ] = None,
    explanation_parameters: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation.ExplanationParameters
    ] = None,
    metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    sync=True,
    deploy_request_timeout: typing.Optional[float] = None,
    autoscaling_target_cpu_utilization: typing.Optional[int] = None,
    autoscaling_target_accelerator_duty_cycle: typing.Optional[int] = None,
    enable_access_logging=False,
    disable_container_logging: bool = False,
) -> None

Deploys a Model to the Endpoint.

See more: google.cloud.aiplatform.Endpoint.deploy

google.cloud.aiplatform.Endpoint.explain

explain(
    instances: typing.List[typing.Dict],
    parameters: typing.Optional[typing.Dict] = None,
    deployed_model_id: typing.Optional[str] = None,
    timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.models.Prediction

Make a prediction with explanations against this Endpoint.

See more: google.cloud.aiplatform.Endpoint.explain

google.cloud.aiplatform.Endpoint.explain_async

explain_async(
    instances: typing.List[typing.Dict],
    *,
    parameters: typing.Optional[typing.Dict] = None,
    deployed_model_id: typing.Optional[str] = None,
    timeout: typing.Optional[float] = None
) -> google.cloud.aiplatform.models.Prediction

Make a prediction with explanations against this Endpoint.

See more: google.cloud.aiplatform.Endpoint.explain_async

google.cloud.aiplatform.Endpoint.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.models.Endpoint]

List all Endpoint resource instances.

See more: google.cloud.aiplatform.Endpoint.list

google.cloud.aiplatform.Endpoint.list_models

list_models() -> (
    typing.List[google.cloud.aiplatform_v1.types.endpoint.DeployedModel]
)

Returns a list of the models deployed to this Endpoint.

See more: google.cloud.aiplatform.Endpoint.list_models

google.cloud.aiplatform.Endpoint.predict

predict(
    instances: typing.List,
    parameters: typing.Optional[typing.Dict] = None,
    timeout: typing.Optional[float] = None,
    use_raw_predict: typing.Optional[bool] = False,
) -> google.cloud.aiplatform.models.Prediction

Make a prediction against this Endpoint.

See more: google.cloud.aiplatform.Endpoint.predict

google.cloud.aiplatform.Endpoint.predict_async

predict_async(
    instances: typing.List,
    *,
    parameters: typing.Optional[typing.Dict] = None,
    timeout: typing.Optional[float] = None
) -> google.cloud.aiplatform.models.Prediction

Make an asynchronous prediction against this Endpoint.

See more: google.cloud.aiplatform.Endpoint.predict_async

google.cloud.aiplatform.Endpoint.raw_predict

raw_predict(
    body: bytes, headers: typing.Dict[str, str]
) -> requests.models.Response

Makes a prediction request using arbitrary headers.

See more: google.cloud.aiplatform.Endpoint.raw_predict

google.cloud.aiplatform.Endpoint.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.Endpoint.to_dict

google.cloud.aiplatform.Endpoint.undeploy

undeploy(
    deployed_model_id: str,
    traffic_split: typing.Optional[typing.Dict[str, int]] = None,
    metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    sync=True,
) -> None

Undeploys a deployed model.

See more: google.cloud.aiplatform.Endpoint.undeploy

google.cloud.aiplatform.Endpoint.undeploy_all

undeploy_all(sync: bool = True) -> google.cloud.aiplatform.models.Endpoint

Undeploys every model deployed to this Endpoint.

See more: google.cloud.aiplatform.Endpoint.undeploy_all

google.cloud.aiplatform.Endpoint.update

update(
    display_name: typing.Optional[str] = None,
    description: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    traffic_split: typing.Optional[typing.Dict[str, int]] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    update_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.models.Endpoint

Updates an endpoint.

See more: google.cloud.aiplatform.Endpoint.update

google.cloud.aiplatform.Endpoint.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.Endpoint.wait

google.cloud.aiplatform.EntityType

EntityType(
    entity_type_name: str,
    featurestore_id: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
)

Retrieves an existing managed entityType given an entityType resource name or an entity_type ID.

See more: google.cloud.aiplatform.EntityType

google.cloud.aiplatform.EntityType.batch_create_features

batch_create_features(
    feature_configs: typing.Dict[
        str, typing.Dict[str, typing.Union[bool, int, typing.Dict[str, str], str]]
    ],
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    sync: bool = True,
) -> google.cloud.aiplatform.featurestore._entity_type._EntityType

Batch creates Feature resources in this EntityType.

See more: google.cloud.aiplatform.EntityType.batch_create_features

google.cloud.aiplatform.EntityType.create

create(
    entity_type_id: str,
    featurestore_name: str,
    description: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    sync: bool = True,
    create_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.featurestore._entity_type._EntityType

Creates an EntityType resource in a Featurestore.

See more: google.cloud.aiplatform.EntityType.create

google.cloud.aiplatform.EntityType.create_feature

create_feature(
    feature_id: str,
    value_type: str,
    description: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    sync: bool = True,
    create_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.featurestore.feature.Feature

Creates a Feature resource in this EntityType.

See more: google.cloud.aiplatform.EntityType.create_feature

google.cloud.aiplatform.EntityType.delete

delete(sync: bool = True, force: bool = False) -> None

Deletes this EntityType resource.

See more: google.cloud.aiplatform.EntityType.delete

google.cloud.aiplatform.EntityType.delete_features

delete_features(feature_ids: typing.List[str], sync: bool = True) -> None

Deletes feature resources in this EntityType given their feature IDs.

See more: google.cloud.aiplatform.EntityType.delete_features

google.cloud.aiplatform.EntityType.get_feature

get_feature(
    feature_id: str,
) -> google.cloud.aiplatform.featurestore.feature.Feature

Retrieves an existing managed feature in this EntityType.

See more: google.cloud.aiplatform.EntityType.get_feature

google.cloud.aiplatform.EntityType.get_featurestore

get_featurestore() -> (
    google.cloud.aiplatform.featurestore.featurestore.Featurestore
)

Retrieves the managed featurestore in which this EntityType is.

See more: google.cloud.aiplatform.EntityType.get_featurestore

google.cloud.aiplatform.EntityType.ingest_from_bq

ingest_from_bq(
    feature_ids: typing.List[str],
    feature_time: typing.Union[str, datetime.datetime],
    bq_source_uri: str,
    feature_source_fields: typing.Optional[typing.Dict[str, str]] = None,
    entity_id_field: typing.Optional[str] = None,
    disable_online_serving: typing.Optional[bool] = None,
    worker_count: typing.Optional[int] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    sync: bool = True,
    ingest_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.featurestore._entity_type._EntityType

Ingest feature values from BigQuery.

See more: google.cloud.aiplatform.EntityType.ingest_from_bq

google.cloud.aiplatform.EntityType.ingest_from_df

ingest_from_df(
    feature_ids: typing.List[str],
    feature_time: typing.Union[str, datetime.datetime],
    df_source: pd.DataFrame,
    feature_source_fields: typing.Optional[typing.Dict[str, str]] = None,
    entity_id_field: typing.Optional[str] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    ingest_request_timeout: typing.Optional[float] = None,
) -> _EntityType

Ingest feature values from DataFrame.

See more: google.cloud.aiplatform.EntityType.ingest_from_df

google.cloud.aiplatform.EntityType.ingest_from_gcs

ingest_from_gcs(
    feature_ids: typing.List[str],
    feature_time: typing.Union[str, datetime.datetime],
    gcs_source_uris: typing.Union[str, typing.List[str]],
    gcs_source_type: str,
    feature_source_fields: typing.Optional[typing.Dict[str, str]] = None,
    entity_id_field: typing.Optional[str] = None,
    disable_online_serving: typing.Optional[bool] = None,
    worker_count: typing.Optional[int] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    sync: bool = True,
    ingest_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.featurestore._entity_type._EntityType

Ingest feature values from GCS.

See more: google.cloud.aiplatform.EntityType.ingest_from_gcs

google.cloud.aiplatform.EntityType.list

list(
    featurestore_name: str,
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.featurestore._entity_type._EntityType]

Lists existing managed entityType resources in a featurestore, given a featurestore resource name or a featurestore ID.

See more: google.cloud.aiplatform.EntityType.list

google.cloud.aiplatform.EntityType.list_features

list_features(
    filter: typing.Optional[str] = None, order_by: typing.Optional[str] = None
) -> typing.List[google.cloud.aiplatform.featurestore.feature.Feature]

Lists existing managed feature resources in this EntityType.

See more: google.cloud.aiplatform.EntityType.list_features

google.cloud.aiplatform.EntityType.read

read(
    entity_ids: typing.Union[str, typing.List[str]],
    feature_ids: typing.Union[str, typing.List[str]] = "*",
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    read_request_timeout: typing.Optional[float] = None,
) -> pd.DataFrame

Reads feature values for given feature IDs of given entity IDs in this EntityType.

See more: google.cloud.aiplatform.EntityType.read

google.cloud.aiplatform.EntityType.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.EntityType.to_dict

google.cloud.aiplatform.EntityType.update

update(
    description: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    request_metadata: typing.Sequence[typing.Tuple[str, str]] = (),
    update_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.featurestore._entity_type._EntityType

Updates an existing managed entityType resource.

See more: google.cloud.aiplatform.EntityType.update

google.cloud.aiplatform.EntityType.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.EntityType.wait

google.cloud.aiplatform.EntityType.write_feature_values

write_feature_values(
    instances: typing.Union[
        typing.List[
            google.cloud.aiplatform_v1.types.featurestore_online_service.WriteFeatureValuesPayload
        ],
        typing.Dict[
            str,
            typing.Dict[
                str,
                typing.Union[
                    int,
                    str,
                    float,
                    bool,
                    bytes,
                    typing.List[int],
                    typing.List[str],
                    typing.List[float],
                    typing.List[bool],
                ],
            ],
        ],
        pd.DataFrame,
    ],
    feature_time: typing.Union[str, datetime.datetime] = None,
) -> EntityType

Streaming ingestion.

See more: google.cloud.aiplatform.EntityType.write_feature_values

google.cloud.aiplatform.Execution

Execution(
    execution_name: str,
    *,
    metadata_store_id: str = "default",
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
)

Retrieves an existing Metadata Execution given a resource name or ID.

See more: google.cloud.aiplatform.Execution

google.cloud.aiplatform.Execution.assign_input_artifacts

assign_input_artifacts(
    artifacts: typing.List[
        typing.Union[
            google.cloud.aiplatform.metadata.artifact.Artifact,
            google.cloud.aiplatform.models.Model,
        ]
    ]
)

Assigns Artifacts as inputs to this Executions.

See more: google.cloud.aiplatform.Execution.assign_input_artifacts

google.cloud.aiplatform.Execution.assign_output_artifacts

assign_output_artifacts(
    artifacts: typing.List[
        typing.Union[
            google.cloud.aiplatform.metadata.artifact.Artifact,
            google.cloud.aiplatform.models.Model,
        ]
    ]
)

Assigns Artifacts as outputs to this Executions.

See more: google.cloud.aiplatform.Execution.assign_output_artifacts

google.cloud.aiplatform.Execution.create

create(
    schema_title: str,
    *,
    state: google.cloud.aiplatform_v1.types.execution.Execution.State = State.RUNNING,
    resource_id: typing.Optional[str] = None,
    display_name: typing.Optional[str] = None,
    schema_version: typing.Optional[str] = None,
    metadata: typing.Optional[typing.Dict[str, typing.Any]] = None,
    description: typing.Optional[str] = None,
    metadata_store_id: str = "default",
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials=typing.Optional[google.auth.credentials.Credentials]
) -> google.cloud.aiplatform.metadata.execution.Execution

Creates a new Metadata Execution.

See more: google.cloud.aiplatform.Execution.create

google.cloud.aiplatform.Execution.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.Execution.delete

google.cloud.aiplatform.Execution.get

get(
    resource_id: str,
    metadata_store_id: str = "default",
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> google.cloud.aiplatform.metadata.resource._Resource

Retrieves a Metadata resource.

See more: google.cloud.aiplatform.Execution.get

google.cloud.aiplatform.Execution.get_input_artifacts

get_input_artifacts() -> (
    typing.List[google.cloud.aiplatform.metadata.artifact.Artifact]
)

Get the input Artifacts of this Execution.

See more: google.cloud.aiplatform.Execution.get_input_artifacts

google.cloud.aiplatform.Execution.get_or_create

get_or_create(
    resource_id: str,
    schema_title: str,
    display_name: typing.Optional[str] = None,
    schema_version: typing.Optional[str] = None,
    description: typing.Optional[str] = None,
    metadata: typing.Optional[typing.Dict] = None,
    metadata_store_id: str = "default",
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> google.cloud.aiplatform.metadata.resource._Resource

Retrieves or Creates (if it does not exist) a Metadata resource.

See more: google.cloud.aiplatform.Execution.get_or_create

google.cloud.aiplatform.Execution.get_output_artifacts

get_output_artifacts() -> (
    typing.List[google.cloud.aiplatform.metadata.artifact.Artifact]
)

Get the output Artifacts of this Execution.

See more: google.cloud.aiplatform.Execution.get_output_artifacts

google.cloud.aiplatform.Execution.list

list(
    filter: typing.Optional[str] = None,
    metadata_store_id: str = "default",
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    order_by: typing.Optional[str] = None,
) -> typing.List[google.cloud.aiplatform.metadata.resource._Resource]

List resources that match the list filter in target metadataStore.

See more: google.cloud.aiplatform.Execution.list

google.cloud.aiplatform.Execution.sync_resource

sync_resource()

Syncs local resource with the resource in metadata store.

See more: google.cloud.aiplatform.Execution.sync_resource

google.cloud.aiplatform.Execution.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.Execution.to_dict

google.cloud.aiplatform.Execution.update

update(
    state: typing.Optional[
        google.cloud.aiplatform_v1.types.execution.Execution.State
    ] = None,
    description: typing.Optional[str] = None,
    metadata: typing.Optional[typing.Dict[str, typing.Any]] = None,
)

Update this Execution.

See more: google.cloud.aiplatform.Execution.update

google.cloud.aiplatform.Execution.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.Execution.wait

google.cloud.aiplatform.Experiment

Experiment(
    experiment_name: str,
    *,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
)

my_experiment = aiplatform.Experiment('my-experiment')

.

See more: google.cloud.aiplatform.Experiment

google.cloud.aiplatform.Experiment.assign_backing_tensorboard

assign_backing_tensorboard(
    tensorboard: typing.Union[
        google.cloud.aiplatform.tensorboard.tensorboard_resource.Tensorboard, str
    ]
)

Assigns tensorboard as backing tensorboard to support time series metrics logging.

See more: google.cloud.aiplatform.Experiment.assign_backing_tensorboard

google.cloud.aiplatform.Experiment.create

create(
    experiment_name: str,
    *,
    description: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
) -> google.cloud.aiplatform.metadata.experiment_resources.Experiment

Creates a new experiment in Vertex AI Experiments.

See more: google.cloud.aiplatform.Experiment.create

google.cloud.aiplatform.Experiment.delete

delete(*, delete_backing_tensorboard_runs: bool = False)

Deletes this experiment all the experiment runs under this experiment.

See more: google.cloud.aiplatform.Experiment.delete

google.cloud.aiplatform.Experiment.get

get(
    experiment_name: str,
    *,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
) -> typing.Optional[google.cloud.aiplatform.metadata.experiment_resources.Experiment]

Gets experiment if one exists with this experiment_name in Vertex AI Experiments.

See more: google.cloud.aiplatform.Experiment.get

google.cloud.aiplatform.Experiment.get_backing_tensorboard_resource

get_backing_tensorboard_resource() -> (
    typing.Optional[
        google.cloud.aiplatform.tensorboard.tensorboard_resource.Tensorboard
    ]
)

Get the backing tensorboard for this experiment if one exists.

See more: google.cloud.aiplatform.Experiment.get_backing_tensorboard_resource

google.cloud.aiplatform.Experiment.get_data_frame

get_data_frame() -> pd.DataFrame

Get parameters, metrics, and time series metrics of all runs in this experiment as Dataframe.

See more: google.cloud.aiplatform.Experiment.get_data_frame

google.cloud.aiplatform.Experiment.get_or_create

get_or_create(
    experiment_name: str,
    *,
    description: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
) -> google.cloud.aiplatform.metadata.experiment_resources.Experiment

Gets experiment if one exists with this experiment_name in Vertex AI Experiments.

See more: google.cloud.aiplatform.Experiment.get_or_create

google.cloud.aiplatform.Experiment.list

list(
    *,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
) -> typing.List[google.cloud.aiplatform.metadata.experiment_resources.Experiment]

List all Vertex AI Experiments in the given project.

See more: google.cloud.aiplatform.Experiment.list

google.cloud.aiplatform.ExperimentRun

ExperimentRun(
    run_name: str,
    experiment: typing.Union[
        google.cloud.aiplatform.metadata.experiment_resources.Experiment, str
    ],
    *,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
)

my_run = aiplatform.ExperimentRun('my-run', experiment='my-experiment')

.

See more: google.cloud.aiplatform.ExperimentRun

google.cloud.aiplatform.ExperimentRun.__init_subclass__

__init_subclass__(
    *,
    experiment_loggable_schemas: typing.Tuple[
        google.cloud.aiplatform.metadata.experiment_resources._ExperimentLoggableSchema
    ],
    **kwargs
)

Register the metadata_schema for the subclass so Experiment can use it to retrieve the associated types.

See more: google.cloud.aiplatform.ExperimentRun.init_subclass

google.cloud.aiplatform.ExperimentRun.assign_backing_tensorboard

assign_backing_tensorboard(
    tensorboard: typing.Union[
        google.cloud.aiplatform.tensorboard.tensorboard_resource.Tensorboard, str
    ]
)

Assigns tensorboard as backing tensorboard to support timeseries metrics logging for this run.

See more: google.cloud.aiplatform.ExperimentRun.assign_backing_tensorboard

google.cloud.aiplatform.ExperimentRun.associate_execution

associate_execution(
    execution: google.cloud.aiplatform.metadata.execution.Execution,
)

Associate an execution to this experiment run.

See more: google.cloud.aiplatform.ExperimentRun.associate_execution

google.cloud.aiplatform.ExperimentRun.create

create(
    run_name: str,
    *,
    experiment: typing.Optional[
        typing.Union[
            google.cloud.aiplatform.metadata.experiment_resources.Experiment, str
        ]
    ] = None,
    tensorboard: typing.Optional[
        typing.Union[
            google.cloud.aiplatform.tensorboard.tensorboard_resource.Tensorboard, str
        ]
    ] = None,
    state: google.cloud.aiplatform_v1.types.execution.Execution.State = State.RUNNING,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
) -> google.cloud.aiplatform.metadata.experiment_run_resource.ExperimentRun

Creates a new experiment run in Vertex AI Experiments.

See more: google.cloud.aiplatform.ExperimentRun.create

google.cloud.aiplatform.ExperimentRun.delete

delete(*, delete_backing_tensorboard_run: bool = False)

Deletes this experiment run.

See more: google.cloud.aiplatform.ExperimentRun.delete

google.cloud.aiplatform.ExperimentRun.end_run

end_run(
    *,
    state: google.cloud.aiplatform_v1.types.execution.Execution.State = State.COMPLETE
)

Ends this experiment run and sets state to COMPLETE.

See more: google.cloud.aiplatform.ExperimentRun.end_run

google.cloud.aiplatform.ExperimentRun.get

get(
    run_name: str,
    *,
    experiment: typing.Optional[
        typing.Union[
            google.cloud.aiplatform.metadata.experiment_resources.Experiment, str
        ]
    ] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
) -> typing.Optional[
    google.cloud.aiplatform.metadata.experiment_run_resource.ExperimentRun
]

Gets experiment run if one exists with this run_name.

See more: google.cloud.aiplatform.ExperimentRun.get

google.cloud.aiplatform.ExperimentRun.get_artifacts

get_artifacts() -> typing.List[google.cloud.aiplatform.metadata.artifact.Artifact]

Get the list of artifacts associated to this run.

See more: google.cloud.aiplatform.ExperimentRun.get_artifacts

google.cloud.aiplatform.ExperimentRun.get_classification_metrics

get_classification_metrics() -> (
    typing.List[typing.Dict[str, typing.Union[str, typing.List]]]
)

Get all the classification metrics logged to this run.

See more: google.cloud.aiplatform.ExperimentRun.get_classification_metrics

google.cloud.aiplatform.ExperimentRun.get_executions

get_executions() -> (
    typing.List[google.cloud.aiplatform.metadata.execution.Execution]
)

Get the List of Executions associated to this run .

See more: google.cloud.aiplatform.ExperimentRun.get_executions

google.cloud.aiplatform.ExperimentRun.get_experiment_models

get_experiment_models() -> (
    typing.List[
        google.cloud.aiplatform.metadata.schema.google.artifact_schema.ExperimentModel
    ]
)

Get all ExperimentModel associated to this experiment run.

See more: google.cloud.aiplatform.ExperimentRun.get_experiment_models

google.cloud.aiplatform.ExperimentRun.get_logged_custom_jobs

get_logged_custom_jobs() -> typing.List[google.cloud.aiplatform.jobs.CustomJob]

Get all CustomJobs associated to this experiment run.

See more: google.cloud.aiplatform.ExperimentRun.get_logged_custom_jobs

google.cloud.aiplatform.ExperimentRun.get_logged_pipeline_jobs

get_logged_pipeline_jobs() -> (
    typing.List[google.cloud.aiplatform.pipeline_jobs.PipelineJob]
)

Get all PipelineJobs associated to this experiment run.

See more: google.cloud.aiplatform.ExperimentRun.get_logged_pipeline_jobs

google.cloud.aiplatform.ExperimentRun.get_metrics

get_metrics() -> typing.Dict[str, typing.Union[float, int, str]]

Get the summary metrics logged to this run.

See more: google.cloud.aiplatform.ExperimentRun.get_metrics

google.cloud.aiplatform.ExperimentRun.get_params

get_params() -> typing.Dict[str, typing.Union[float, int, str]]

Get the parameters logged to this run.

See more: google.cloud.aiplatform.ExperimentRun.get_params

google.cloud.aiplatform.ExperimentRun.get_state

get_state() -> google.cloud.aiplatform_v1.types.execution.Execution.State

The state of this run.

See more: google.cloud.aiplatform.ExperimentRun.get_state

google.cloud.aiplatform.ExperimentRun.get_time_series_data_frame

get_time_series_data_frame() -> pd.DataFrame

Returns all time series in this Run as a DataFrame.

See more: google.cloud.aiplatform.ExperimentRun.get_time_series_data_frame

google.cloud.aiplatform.ExperimentRun.list

list(
    *,
    experiment: typing.Optional[
        typing.Union[
            google.cloud.aiplatform.metadata.experiment_resources.Experiment, str
        ]
    ] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
) -> typing.List[
    google.cloud.aiplatform.metadata.experiment_run_resource.ExperimentRun
]

List the experiment runs for a given aiplatform.Experiment.

See more: google.cloud.aiplatform.ExperimentRun.list

google.cloud.aiplatform.ExperimentRun.log

log(
    *,
    pipeline_job: typing.Optional[
        google.cloud.aiplatform.pipeline_jobs.PipelineJob
    ] = None
)

Log a Vertex Resource to this experiment run.

See more: google.cloud.aiplatform.ExperimentRun.log

google.cloud.aiplatform.ExperimentRun.log_classification_metrics

log_classification_metrics(
    *,
    labels: typing.Optional[typing.List[str]] = None,
    matrix: typing.Optional[typing.List[typing.List[int]]] = None,
    fpr: typing.Optional[typing.List[float]] = None,
    tpr: typing.Optional[typing.List[float]] = None,
    threshold: typing.Optional[typing.List[float]] = None,
    display_name: typing.Optional[str] = None
) -> (
    google.cloud.aiplatform.metadata.schema.google.artifact_schema.ClassificationMetrics
)

Create an artifact for classification metrics and log to ExperimentRun.

See more: google.cloud.aiplatform.ExperimentRun.log_classification_metrics

google.cloud.aiplatform.ExperimentRun.log_metrics

log_metrics(metrics: typing.Dict[str, typing.Union[float, int, str]])

Log single or multiple Metrics with specified key and value pairs.

See more: google.cloud.aiplatform.ExperimentRun.log_metrics

google.cloud.aiplatform.ExperimentRun.log_model

log_model(
    model: typing.Union[sklearn.base.BaseEstimator, xgb.Booster, tf.Module],
    artifact_id: typing.Optional[str] = None,
    *,
    uri: typing.Optional[str] = None,
    input_example: typing.Union[list, dict, pd.DataFrame, np.ndarray] = None,
    display_name: typing.Optional[str] = None,
    metadata_store_id: typing.Optional[str] = "default",
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
) -> google.cloud.aiplatform.metadata.schema.google.artifact_schema.ExperimentModel

Saves a ML model into a MLMD artifact and log it to this ExperimentRun.

See more: google.cloud.aiplatform.ExperimentRun.log_model

google.cloud.aiplatform.ExperimentRun.log_params

log_params(params: typing.Dict[str, typing.Union[float, int, str]])

Log single or multiple parameters with specified key value pairs.

See more: google.cloud.aiplatform.ExperimentRun.log_params

google.cloud.aiplatform.ExperimentRun.log_time_series_metrics

log_time_series_metrics(
    metrics: typing.Dict[str, float],
    step: typing.Optional[int] = None,
    wall_time: typing.Optional[google.protobuf.timestamp_pb2.Timestamp] = None,
)

Logs time series metrics to backing TensorboardRun of this Experiment Run.

See more: google.cloud.aiplatform.ExperimentRun.log_time_series_metrics

google.cloud.aiplatform.ExperimentRun.update_state

update_state(state: google.cloud.aiplatform_v1.types.execution.Execution.State)

Update the state of this experiment run.

See more: google.cloud.aiplatform.ExperimentRun.update_state

google.cloud.aiplatform.Feature

Feature(
    feature_name: str,
    featurestore_id: typing.Optional[str] = None,
    entity_type_id: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
)

Retrieves an existing managed feature given a feature resource name or a feature ID.

See more: google.cloud.aiplatform.Feature

google.cloud.aiplatform.Feature.create

create(
    feature_id: str,
    value_type: str,
    entity_type_name: str,
    featurestore_id: typing.Optional[str] = None,
    description: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    sync: bool = True,
    create_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.featurestore.feature.Feature

Creates a Feature resource in an EntityType.

See more: google.cloud.aiplatform.Feature.create

google.cloud.aiplatform.Feature.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.Feature.delete

google.cloud.aiplatform.Feature.get_entity_type

get_entity_type() -> google.cloud.aiplatform.featurestore.entity_type.EntityType

Retrieves the managed entityType in which this Feature is.

See more: google.cloud.aiplatform.Feature.get_entity_type

google.cloud.aiplatform.Feature.get_featurestore

get_featurestore() -> (
    google.cloud.aiplatform.featurestore.featurestore.Featurestore
)

Retrieves the managed featurestore in which this Feature is.

See more: google.cloud.aiplatform.Feature.get_featurestore

google.cloud.aiplatform.Feature.list

list(
    entity_type_name: str,
    featurestore_id: typing.Optional[str] = None,
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.featurestore.feature.Feature]

Lists existing managed feature resources in an entityType, given an entityType resource name or an entity_type ID.

See more: google.cloud.aiplatform.Feature.list

google.cloud.aiplatform.Feature.search

search(
    query: typing.Optional[str] = None,
    page_size: typing.Optional[int] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.featurestore.feature.Feature]

Searches existing managed Feature resources.

See more: google.cloud.aiplatform.Feature.search

google.cloud.aiplatform.Feature.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.Feature.to_dict

google.cloud.aiplatform.Feature.update

update(
    description: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    update_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.featurestore.feature.Feature

Updates an existing managed feature resource.

See more: google.cloud.aiplatform.Feature.update

google.cloud.aiplatform.Feature.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.Feature.wait

google.cloud.aiplatform.Featurestore

Featurestore(
    featurestore_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
)

Retrieves an existing managed featurestore given a featurestore resource name or a featurestore ID.

See more: google.cloud.aiplatform.Featurestore

google.cloud.aiplatform.Featurestore.batch_serve_to_bq

batch_serve_to_bq(
    bq_destination_output_uri: str,
    serving_feature_ids: typing.Dict[str, typing.List[str]],
    read_instances_uri: str,
    pass_through_fields: typing.Optional[typing.List[str]] = None,
    feature_destination_fields: typing.Optional[typing.Dict[str, str]] = None,
    start_time: typing.Optional[google.protobuf.timestamp_pb2.Timestamp] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    serve_request_timeout: typing.Optional[float] = None,
    sync: bool = True,
) -> google.cloud.aiplatform.featurestore.featurestore.Featurestore

Batch serves feature values to BigQuery destination .

See more: google.cloud.aiplatform.Featurestore.batch_serve_to_bq

google.cloud.aiplatform.Featurestore.batch_serve_to_df

batch_serve_to_df(
    serving_feature_ids: typing.Dict[str, typing.List[str]],
    read_instances_df: pd.DataFrame,
    pass_through_fields: typing.Optional[typing.List[str]] = None,
    feature_destination_fields: typing.Optional[typing.Dict[str, str]] = None,
    start_time: typing.Optional[google.protobuf.timestamp_pb2.Timestamp] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    serve_request_timeout: typing.Optional[float] = None,
    bq_dataset_id: typing.Optional[str] = None,
) -> pd.DataFrame

Batch serves feature values to pandas DataFrame.

See more: google.cloud.aiplatform.Featurestore.batch_serve_to_df

google.cloud.aiplatform.Featurestore.batch_serve_to_gcs

batch_serve_to_gcs(
    gcs_destination_output_uri_prefix: str,
    gcs_destination_type: str,
    serving_feature_ids: typing.Dict[str, typing.List[str]],
    read_instances_uri: str,
    pass_through_fields: typing.Optional[typing.List[str]] = None,
    feature_destination_fields: typing.Optional[typing.Dict[str, str]] = None,
    start_time: typing.Optional[google.protobuf.timestamp_pb2.Timestamp] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    sync: bool = True,
    serve_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.featurestore.featurestore.Featurestore

Batch serves feature values to GCS destination .

See more: google.cloud.aiplatform.Featurestore.batch_serve_to_gcs

google.cloud.aiplatform.Featurestore.create

create(
    featurestore_id: str,
    online_store_fixed_node_count: typing.Optional[int] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    encryption_spec_key_name: typing.Optional[str] = None,
    sync: bool = True,
    create_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.featurestore.featurestore.Featurestore

Creates a Featurestore resource.

See more: google.cloud.aiplatform.Featurestore.create

google.cloud.aiplatform.Featurestore.create_entity_type

create_entity_type(
    entity_type_id: str,
    description: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    sync: bool = True,
    create_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.featurestore.entity_type.EntityType

Creates an EntityType resource in this Featurestore.

See more: google.cloud.aiplatform.Featurestore.create_entity_type

google.cloud.aiplatform.Featurestore.delete

delete(sync: bool = True, force: bool = False) -> None

Deletes this Featurestore resource.

See more: google.cloud.aiplatform.Featurestore.delete

google.cloud.aiplatform.Featurestore.delete_entity_types

delete_entity_types(
    entity_type_ids: typing.List[str], sync: bool = True, force: bool = False
) -> None

Deletes entity_type resources in this Featurestore given their entity_type IDs.

See more: google.cloud.aiplatform.Featurestore.delete_entity_types

google.cloud.aiplatform.Featurestore.get_entity_type

get_entity_type(
    entity_type_id: str,
) -> google.cloud.aiplatform.featurestore.entity_type.EntityType

Retrieves an existing managed entityType in this Featurestore.

See more: google.cloud.aiplatform.Featurestore.get_entity_type

google.cloud.aiplatform.Featurestore.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    parent: typing.Optional[str] = None,
) -> typing.List[google.cloud.aiplatform.base.VertexAiResourceNoun]

List all instances of this Vertex AI Resource.

See more: google.cloud.aiplatform.Featurestore.list

google.cloud.aiplatform.Featurestore.list_entity_types

list_entity_types(
    filter: typing.Optional[str] = None, order_by: typing.Optional[str] = None
) -> typing.List[google.cloud.aiplatform.featurestore.entity_type.EntityType]

Lists existing managed entityType resources in this Featurestore.

See more: google.cloud.aiplatform.Featurestore.list_entity_types

google.cloud.aiplatform.Featurestore.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.Featurestore.to_dict

google.cloud.aiplatform.Featurestore.update

update(
    labels: typing.Optional[typing.Dict[str, str]] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    update_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.featurestore.featurestore.Featurestore

Updates an existing managed featurestore resource.

See more: google.cloud.aiplatform.Featurestore.update

google.cloud.aiplatform.Featurestore.update_online_store

update_online_store(
    fixed_node_count: int,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    update_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.featurestore.featurestore.Featurestore

Updates the online store of an existing managed featurestore resource.

See more: google.cloud.aiplatform.Featurestore.update_online_store

google.cloud.aiplatform.Featurestore.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.Featurestore.wait

google.cloud.aiplatform.HyperparameterTuningJob

HyperparameterTuningJob(
    display_name: str,
    custom_job: google.cloud.aiplatform.jobs.CustomJob,
    metric_spec: typing.Dict[str, str],
    parameter_spec: typing.Dict[
        str, google.cloud.aiplatform.hyperparameter_tuning._ParameterSpec
    ],
    max_trial_count: int,
    parallel_trial_count: int,
    max_failed_trial_count: int = 0,
    search_algorithm: typing.Optional[str] = None,
    measurement_selection: typing.Optional[str] = "best",
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
)

Configures a HyperparameterTuning Job.

See more: google.cloud.aiplatform.HyperparameterTuningJob

google.cloud.aiplatform.HyperparameterTuningJob.cancel

cancel() -> None

Cancels this Job.

See more: google.cloud.aiplatform.HyperparameterTuningJob.cancel

google.cloud.aiplatform.HyperparameterTuningJob.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.HyperparameterTuningJob.delete

google.cloud.aiplatform.HyperparameterTuningJob.done

done() -> bool

Method indicating whether a job has completed.

See more: google.cloud.aiplatform.HyperparameterTuningJob.done

google.cloud.aiplatform.HyperparameterTuningJob.get

get(
    resource_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> google.cloud.aiplatform.jobs._RunnableJob

Get a Vertex AI Job for the given resource_name.

See more: google.cloud.aiplatform.HyperparameterTuningJob.get

google.cloud.aiplatform.HyperparameterTuningJob.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.base.VertexAiResourceNoun]

List all instances of this Job Resource.

See more: google.cloud.aiplatform.HyperparameterTuningJob.list

google.cloud.aiplatform.HyperparameterTuningJob.run

run(
    service_account: typing.Optional[str] = None,
    network: typing.Optional[str] = None,
    timeout: typing.Optional[int] = None,
    restart_job_on_worker_restart: bool = False,
    enable_web_access: bool = False,
    tensorboard: typing.Optional[str] = None,
    sync: bool = True,
    create_request_timeout: typing.Optional[float] = None,
    disable_retries: bool = False,
) -> None

Run this configured CustomJob.

See more: google.cloud.aiplatform.HyperparameterTuningJob.run

google.cloud.aiplatform.HyperparameterTuningJob.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.HyperparameterTuningJob.to_dict

google.cloud.aiplatform.HyperparameterTuningJob.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.HyperparameterTuningJob.wait

google.cloud.aiplatform.HyperparameterTuningJob.wait_for_completion

wait_for_completion() -> None

Waits for job to complete.

See more: google.cloud.aiplatform.HyperparameterTuningJob.wait_for_completion

google.cloud.aiplatform.HyperparameterTuningJob.wait_for_resource_creation

wait_for_resource_creation() -> None

Waits until resource has been created.

See more: google.cloud.aiplatform.HyperparameterTuningJob.wait_for_resource_creation

google.cloud.aiplatform.ImageDataset

ImageDataset(
    dataset_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
)

Retrieves an existing managed dataset given a dataset name or ID.

See more: google.cloud.aiplatform.ImageDataset

google.cloud.aiplatform.ImageDataset.create

create(
    display_name: typing.Optional[str] = None,
    gcs_source: typing.Optional[typing.Union[str, typing.Sequence[str]]] = None,
    import_schema_uri: typing.Optional[str] = None,
    data_item_labels: typing.Optional[typing.Dict] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    labels: typing.Optional[typing.Dict[str, str]] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    sync: bool = True,
    create_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.datasets.image_dataset.ImageDataset

Creates a new image dataset.

See more: google.cloud.aiplatform.ImageDataset.create

google.cloud.aiplatform.ImageDataset.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.ImageDataset.delete

google.cloud.aiplatform.ImageDataset.export_data

export_data(output_dir: str) -> typing.Sequence[str]

Exports data to output dir to GCS.

See more: google.cloud.aiplatform.ImageDataset.export_data

google.cloud.aiplatform.ImageDataset.export_data_for_custom_training

export_data_for_custom_training(
    output_dir: str,
    annotation_filter: typing.Optional[str] = None,
    saved_query_id: typing.Optional[str] = None,
    annotation_schema_uri: typing.Optional[str] = None,
    split: typing.Optional[
        typing.Union[typing.Dict[str, str], typing.Dict[str, float]]
    ] = None,
) -> typing.Dict[str, typing.Any]

Exports data to output dir to GCS for custom training use case.

See more: google.cloud.aiplatform.ImageDataset.export_data_for_custom_training

google.cloud.aiplatform.ImageDataset.import_data

import_data(
    gcs_source: typing.Union[str, typing.Sequence[str]],
    import_schema_uri: str,
    data_item_labels: typing.Optional[typing.Dict] = None,
    sync: bool = True,
    import_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.datasets.dataset._Dataset

Upload data to existing managed dataset.

See more: google.cloud.aiplatform.ImageDataset.import_data

google.cloud.aiplatform.ImageDataset.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.base.VertexAiResourceNoun]

List all instances of this Dataset resource.

See more: google.cloud.aiplatform.ImageDataset.list

google.cloud.aiplatform.ImageDataset.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.ImageDataset.to_dict

google.cloud.aiplatform.ImageDataset.update

update(
    *,
    display_name: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    description: typing.Optional[str] = None,
    update_request_timeout: typing.Optional[float] = None
) -> google.cloud.aiplatform.datasets.dataset._Dataset

Update the dataset.

See more: google.cloud.aiplatform.ImageDataset.update

google.cloud.aiplatform.ImageDataset.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.ImageDataset.wait

google.cloud.aiplatform.MatchingEngineIndex

MatchingEngineIndex(
    index_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
)

Retrieves an existing index given an index name or ID.

See more: google.cloud.aiplatform.MatchingEngineIndex

google.cloud.aiplatform.MatchingEngineIndex.create_brute_force_index

create_brute_force_index(
    display_name: str,
    contents_delta_uri: typing.Optional[str] = None,
    dimensions: typing.Optional[int] = None,
    distance_measure_type: typing.Optional[
        google.cloud.aiplatform.matching_engine.matching_engine_index_config.DistanceMeasureType
    ] = None,
    description: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    sync: bool = True,
    index_update_method: typing.Optional[str] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    create_request_timeout: typing.Optional[float] = None,
    shard_size: typing.Optional[str] = None,
) -> google.cloud.aiplatform.matching_engine.matching_engine_index.MatchingEngineIndex

Creates a MatchingEngineIndex resource that uses the brute force algorithm.

See more: google.cloud.aiplatform.MatchingEngineIndex.create_brute_force_index

google.cloud.aiplatform.MatchingEngineIndex.create_tree_ah_index

create_tree_ah_index(
    display_name: str,
    contents_delta_uri: typing.Optional[str] = None,
    dimensions: typing.Optional[int] = None,
    approximate_neighbors_count: typing.Optional[int] = None,
    leaf_node_embedding_count: typing.Optional[int] = None,
    leaf_nodes_to_search_percent: typing.Optional[float] = None,
    distance_measure_type: typing.Optional[
        google.cloud.aiplatform.matching_engine.matching_engine_index_config.DistanceMeasureType
    ] = None,
    description: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    sync: bool = True,
    index_update_method: typing.Optional[str] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    create_request_timeout: typing.Optional[float] = None,
    shard_size: typing.Optional[str] = None,
) -> google.cloud.aiplatform.matching_engine.matching_engine_index.MatchingEngineIndex

Creates a MatchingEngineIndex resource that uses the tree-AH algorithm.

See more: google.cloud.aiplatform.MatchingEngineIndex.create_tree_ah_index

google.cloud.aiplatform.MatchingEngineIndex.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.MatchingEngineIndex.delete

google.cloud.aiplatform.MatchingEngineIndex.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    parent: typing.Optional[str] = None,
) -> typing.List[google.cloud.aiplatform.base.VertexAiResourceNoun]

List all instances of this Vertex AI Resource.

See more: google.cloud.aiplatform.MatchingEngineIndex.list

google.cloud.aiplatform.MatchingEngineIndex.remove_datapoints

remove_datapoints(
    datapoint_ids: typing.Sequence[str],
) -> google.cloud.aiplatform.matching_engine.matching_engine_index.MatchingEngineIndex

Remove datapoints for this index.

See more: google.cloud.aiplatform.MatchingEngineIndex.remove_datapoints

google.cloud.aiplatform.MatchingEngineIndex.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.MatchingEngineIndex.to_dict

google.cloud.aiplatform.MatchingEngineIndex.update_embeddings

update_embeddings(
    contents_delta_uri: str,
    is_complete_overwrite: typing.Optional[bool] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    update_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.matching_engine.matching_engine_index.MatchingEngineIndex

Updates the embeddings for this index.

See more: google.cloud.aiplatform.MatchingEngineIndex.update_embeddings

google.cloud.aiplatform.MatchingEngineIndex.update_metadata

update_metadata(
    display_name: typing.Optional[str] = None,
    description: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    update_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.matching_engine.matching_engine_index.MatchingEngineIndex

Updates the metadata for this index.

See more: google.cloud.aiplatform.MatchingEngineIndex.update_metadata

google.cloud.aiplatform.MatchingEngineIndex.upsert_datapoints

upsert_datapoints(
    datapoints: typing.Sequence[google.cloud.aiplatform_v1.types.index.IndexDatapoint],
    update_mask: typing.Optional[typing.Sequence[str]] = None,
) -> google.cloud.aiplatform.matching_engine.matching_engine_index.MatchingEngineIndex

Upsert datapoints to this index.

See more: google.cloud.aiplatform.MatchingEngineIndex.upsert_datapoints

google.cloud.aiplatform.MatchingEngineIndex.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.MatchingEngineIndex.wait

google.cloud.aiplatform.MatchingEngineIndexEndpoint

MatchingEngineIndexEndpoint(
    index_endpoint_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
)

Retrieves an existing index endpoint given a name or ID.

See more: google.cloud.aiplatform.MatchingEngineIndexEndpoint

google.cloud.aiplatform.MatchingEngineIndexEndpoint.create

create(
    display_name: str,
    network: typing.Optional[str] = None,
    public_endpoint_enabled: bool = False,
    description: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    sync: bool = True,
    enable_private_service_connect: bool = False,
    project_allowlist: typing.Optional[typing.Sequence[str]] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    create_request_timeout: typing.Optional[float] = None,
) -> (
    google.cloud.aiplatform.matching_engine.matching_engine_index_endpoint.MatchingEngineIndexEndpoint
)

Creates a MatchingEngineIndexEndpoint resource.

See more: google.cloud.aiplatform.MatchingEngineIndexEndpoint.create

google.cloud.aiplatform.MatchingEngineIndexEndpoint.delete

delete(force: bool = False, sync: bool = True) -> None

Deletes this MatchingEngineIndexEndpoint resource.

See more: google.cloud.aiplatform.MatchingEngineIndexEndpoint.delete

google.cloud.aiplatform.MatchingEngineIndexEndpoint.deploy_index

deploy_index(
    index: google.cloud.aiplatform.matching_engine.matching_engine_index.MatchingEngineIndex,
    deployed_index_id: str,
    display_name: typing.Optional[str] = None,
    machine_type: typing.Optional[str] = None,
    min_replica_count: typing.Optional[int] = None,
    max_replica_count: typing.Optional[int] = None,
    enable_access_logging: typing.Optional[bool] = None,
    reserved_ip_ranges: typing.Optional[typing.Sequence[str]] = None,
    deployment_group: typing.Optional[str] = None,
    auth_config_audiences: typing.Optional[typing.Sequence[str]] = None,
    auth_config_allowed_issuers: typing.Optional[typing.Sequence[str]] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    deploy_request_timeout: typing.Optional[float] = None,
) -> (
    google.cloud.aiplatform.matching_engine.matching_engine_index_endpoint.MatchingEngineIndexEndpoint
)

Deploys an existing index resource to this endpoint resource.

See more: google.cloud.aiplatform.MatchingEngineIndexEndpoint.deploy_index

google.cloud.aiplatform.MatchingEngineIndexEndpoint.find_neighbors

find_neighbors(
    *,
    deployed_index_id: str,
    queries: typing.Optional[typing.List[typing.List[float]]] = None,
    num_neighbors: int = 10,
    filter: typing.Optional[
        typing.List[
            google.cloud.aiplatform.matching_engine.matching_engine_index_endpoint.Namespace
        ]
    ] = None,
    per_crowding_attribute_neighbor_count: typing.Optional[int] = None,
    approx_num_neighbors: typing.Optional[int] = None,
    fraction_leaf_nodes_to_search_override: typing.Optional[float] = None,
    return_full_datapoint: bool = False,
    numeric_filter: typing.Optional[
        typing.List[
            google.cloud.aiplatform.matching_engine.matching_engine_index_endpoint.NumericNamespace
        ]
    ] = None,
    embedding_ids: typing.Optional[typing.List[str]] = None
) -> typing.List[
    typing.List[
        google.cloud.aiplatform.matching_engine.matching_engine_index_endpoint.MatchNeighbor
    ]
]

Retrieves nearest neighbors for the given embedding queries on the specified deployed index which is deployed to either public or private endpoint.

See more: google.cloud.aiplatform.MatchingEngineIndexEndpoint.find_neighbors

google.cloud.aiplatform.MatchingEngineIndexEndpoint.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    parent: typing.Optional[str] = None,
) -> typing.List[google.cloud.aiplatform.base.VertexAiResourceNoun]

List all instances of this Vertex AI Resource.

See more: google.cloud.aiplatform.MatchingEngineIndexEndpoint.list

google.cloud.aiplatform.MatchingEngineIndexEndpoint.match

match(
    deployed_index_id: str,
    queries: typing.Optional[typing.List[typing.List[float]]] = None,
    num_neighbors: int = 1,
    filter: typing.Optional[
        typing.List[
            google.cloud.aiplatform.matching_engine.matching_engine_index_endpoint.Namespace
        ]
    ] = None,
    per_crowding_attribute_num_neighbors: typing.Optional[int] = None,
    approx_num_neighbors: typing.Optional[int] = None,
    fraction_leaf_nodes_to_search_override: typing.Optional[float] = None,
    low_level_batch_size: int = 0,
    numeric_filter: typing.Optional[
        typing.List[
            google.cloud.aiplatform.matching_engine.matching_engine_index_endpoint.NumericNamespace
        ]
    ] = None,
) -> typing.List[
    typing.List[
        google.cloud.aiplatform.matching_engine.matching_engine_index_endpoint.MatchNeighbor
    ]
]

Retrieves nearest neighbors for the given embedding queries on the specified deployed index for private endpoint only.

See more: google.cloud.aiplatform.MatchingEngineIndexEndpoint.match

google.cloud.aiplatform.MatchingEngineIndexEndpoint.mutate_deployed_index

mutate_deployed_index(
    deployed_index_id: str,
    min_replica_count: int = 1,
    max_replica_count: int = 1,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    mutate_request_timeout: typing.Optional[float] = None,
)

Updates an existing deployed index under this endpoint resource.

See more: google.cloud.aiplatform.MatchingEngineIndexEndpoint.mutate_deployed_index

google.cloud.aiplatform.MatchingEngineIndexEndpoint.read_index_datapoints

read_index_datapoints(
    *, deployed_index_id: str, ids: typing.List[str] = []
) -> typing.List[google.cloud.aiplatform_v1beta1.types.index.IndexDatapoint]

Reads the datapoints/vectors of the given IDs on the specified deployed index which is deployed to public or private endpoint.

See more: google.cloud.aiplatform.MatchingEngineIndexEndpoint.read_index_datapoints

google.cloud.aiplatform.MatchingEngineIndexEndpoint.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.MatchingEngineIndexEndpoint.to_dict

google.cloud.aiplatform.MatchingEngineIndexEndpoint.undeploy_all

undeploy_all(
    sync: bool = True,
) -> (
    google.cloud.aiplatform.matching_engine.matching_engine_index_endpoint.MatchingEngineIndexEndpoint
)

Undeploys every index deployed to this MatchingEngineIndexEndpoint.

See more: google.cloud.aiplatform.MatchingEngineIndexEndpoint.undeploy_all

google.cloud.aiplatform.MatchingEngineIndexEndpoint.undeploy_index

undeploy_index(
    deployed_index_id: str,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    undeploy_request_timeout: typing.Optional[float] = None,
) -> (
    google.cloud.aiplatform.matching_engine.matching_engine_index_endpoint.MatchingEngineIndexEndpoint
)

Undeploy a deployed index endpoint resource.

See more: google.cloud.aiplatform.MatchingEngineIndexEndpoint.undeploy_index

google.cloud.aiplatform.MatchingEngineIndexEndpoint.update

update(
    display_name: str,
    description: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    update_request_timeout: typing.Optional[float] = None,
) -> (
    google.cloud.aiplatform.matching_engine.matching_engine_index_endpoint.MatchingEngineIndexEndpoint
)

Updates an existing index endpoint resource.

See more: google.cloud.aiplatform.MatchingEngineIndexEndpoint.update

google.cloud.aiplatform.MatchingEngineIndexEndpoint.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.MatchingEngineIndexEndpoint.wait

google.cloud.aiplatform.Model.batch_predict

batch_predict(
    job_display_name: typing.Optional[str] = None,
    gcs_source: typing.Optional[typing.Union[str, typing.Sequence[str]]] = None,
    bigquery_source: typing.Optional[str] = None,
    instances_format: str = "jsonl",
    gcs_destination_prefix: typing.Optional[str] = None,
    bigquery_destination_prefix: typing.Optional[str] = None,
    predictions_format: str = "jsonl",
    model_parameters: typing.Optional[typing.Dict] = None,
    machine_type: typing.Optional[str] = None,
    accelerator_type: typing.Optional[str] = None,
    accelerator_count: typing.Optional[int] = None,
    starting_replica_count: typing.Optional[int] = None,
    max_replica_count: typing.Optional[int] = None,
    generate_explanation: typing.Optional[bool] = False,
    explanation_metadata: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation_metadata.ExplanationMetadata
    ] = None,
    explanation_parameters: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation.ExplanationParameters
    ] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    sync: bool = True,
    create_request_timeout: typing.Optional[float] = None,
    batch_size: typing.Optional[int] = None,
    service_account: typing.Optional[str] = None,
) -> google.cloud.aiplatform.jobs.BatchPredictionJob

Creates a batch prediction job using this Model and outputs prediction results to the provided destination prefix in the specified predictions_format.

See more: google.cloud.aiplatform.Model.batch_predict

google.cloud.aiplatform.Model.copy

copy(
    destination_location: str,
    destination_model_id: typing.Optional[str] = None,
    destination_parent_model: typing.Optional[str] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    copy_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.models.Model

Copys a model and returns a Model representing the copied Model resource.

See more: google.cloud.aiplatform.Model.copy

google.cloud.aiplatform.Model.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.Model.delete

google.cloud.aiplatform.Model.deploy

deploy(
    endpoint: typing.Optional[
        typing.Union[
            google.cloud.aiplatform.models.Endpoint,
            google.cloud.aiplatform.models.PrivateEndpoint,
        ]
    ] = None,
    deployed_model_display_name: typing.Optional[str] = None,
    traffic_percentage: typing.Optional[int] = 0,
    traffic_split: typing.Optional[typing.Dict[str, int]] = None,
    machine_type: typing.Optional[str] = None,
    min_replica_count: int = 1,
    max_replica_count: int = 1,
    accelerator_type: typing.Optional[str] = None,
    accelerator_count: typing.Optional[int] = None,
    service_account: typing.Optional[str] = None,
    explanation_metadata: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation_metadata.ExplanationMetadata
    ] = None,
    explanation_parameters: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation.ExplanationParameters
    ] = None,
    metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    encryption_spec_key_name: typing.Optional[str] = None,
    network: typing.Optional[str] = None,
    sync=True,
    deploy_request_timeout: typing.Optional[float] = None,
    autoscaling_target_cpu_utilization: typing.Optional[int] = None,
    autoscaling_target_accelerator_duty_cycle: typing.Optional[int] = None,
    enable_access_logging=False,
    disable_container_logging: bool = False,
) -> typing.Union[
    google.cloud.aiplatform.models.Endpoint,
    google.cloud.aiplatform.models.PrivateEndpoint,
]

Deploys model to endpoint.

See more: google.cloud.aiplatform.Model.deploy

google.cloud.aiplatform.Model.evaluate

evaluate(
    prediction_type: str,
    target_field_name: str,
    gcs_source_uris: typing.Optional[typing.List[str]] = None,
    bigquery_source_uri: typing.Optional[str] = None,
    bigquery_destination_output_uri: typing.Optional[str] = None,
    class_labels: typing.Optional[typing.List[str]] = None,
    prediction_label_column: typing.Optional[str] = None,
    prediction_score_column: typing.Optional[str] = None,
    staging_bucket: typing.Optional[str] = None,
    service_account: typing.Optional[str] = None,
    generate_feature_attributions: bool = False,
    evaluation_pipeline_display_name: typing.Optional[str] = None,
    evaluation_metrics_display_name: typing.Optional[str] = None,
    network: typing.Optional[str] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    experiment: typing.Optional[
        typing.Union[
            google.cloud.aiplatform.metadata.experiment_resources.Experiment, str
        ]
    ] = None,
) -> google.cloud.aiplatform.model_evaluation.model_evaluation_job._ModelEvaluationJob

Creates a model evaluation job running on Vertex Pipelines and returns the resulting ModelEvaluationJob resource.

See more: google.cloud.aiplatform.Model.evaluate

google.cloud.aiplatform.Model.export_model

export_model(
    export_format_id: str,
    artifact_destination: typing.Optional[str] = None,
    image_destination: typing.Optional[str] = None,
    sync: bool = True,
) -> typing.Dict[str, str]

Exports a trained, exportable Model to a location specified by the user.

See more: google.cloud.aiplatform.Model.export_model

google.cloud.aiplatform.Model.get_model_evaluation

get_model_evaluation(
    evaluation_id: typing.Optional[str] = None,
) -> typing.Optional[
    google.cloud.aiplatform.model_evaluation.model_evaluation.ModelEvaluation
]

Returns a ModelEvaluation resource and instantiates its representation.

See more: google.cloud.aiplatform.Model.get_model_evaluation

google.cloud.aiplatform.Model.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.models.Model]

List all Model resource instances.

See more: google.cloud.aiplatform.Model.list

google.cloud.aiplatform.Model.list_model_evaluations

list_model_evaluations() -> (
    typing.List[
        google.cloud.aiplatform.model_evaluation.model_evaluation.ModelEvaluation
    ]
)

List all Model Evaluation resources associated with this model.

See more: google.cloud.aiplatform.Model.list_model_evaluations

google.cloud.aiplatform.Model.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.Model.to_dict

google.cloud.aiplatform.Model.update

update(
    display_name: typing.Optional[str] = None,
    description: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
) -> google.cloud.aiplatform.models.Model

Updates a model.

See more: google.cloud.aiplatform.Model.update

google.cloud.aiplatform.Model.upload

upload(
    serving_container_image_uri: typing.Optional[str] = None,
    *,
    artifact_uri: typing.Optional[str] = None,
    model_id: typing.Optional[str] = None,
    parent_model: typing.Optional[str] = None,
    is_default_version: bool = True,
    version_aliases: typing.Optional[typing.Sequence[str]] = None,
    version_description: typing.Optional[str] = None,
    serving_container_predict_route: typing.Optional[str] = None,
    serving_container_health_route: typing.Optional[str] = None,
    description: typing.Optional[str] = None,
    serving_container_command: typing.Optional[typing.Sequence[str]] = None,
    serving_container_args: typing.Optional[typing.Sequence[str]] = None,
    serving_container_environment_variables: typing.Optional[
        typing.Dict[str, str]
    ] = None,
    serving_container_ports: typing.Optional[typing.Sequence[int]] = None,
    serving_container_grpc_ports: typing.Optional[typing.Sequence[int]] = None,
    local_model: typing.Optional[LocalModel] = None,
    instance_schema_uri: typing.Optional[str] = None,
    parameters_schema_uri: typing.Optional[str] = None,
    prediction_schema_uri: typing.Optional[str] = None,
    explanation_metadata: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation_metadata.ExplanationMetadata
    ] = None,
    explanation_parameters: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation.ExplanationParameters
    ] = None,
    display_name: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    staging_bucket: typing.Optional[str] = None,
    sync=True,
    upload_request_timeout: typing.Optional[float] = None,
    serving_container_deployment_timeout: typing.Optional[int] = None,
    serving_container_shared_memory_size_mb: typing.Optional[int] = None,
    serving_container_startup_probe_exec: typing.Optional[typing.Sequence[str]] = None,
    serving_container_startup_probe_period_seconds: typing.Optional[int] = None,
    serving_container_startup_probe_timeout_seconds: typing.Optional[int] = None,
    serving_container_health_probe_exec: typing.Optional[typing.Sequence[str]] = None,
    serving_container_health_probe_period_seconds: typing.Optional[int] = None,
    serving_container_health_probe_timeout_seconds: typing.Optional[int] = None
) -> Model

Uploads a model and returns a Model representing the uploaded Model resource.

See more: google.cloud.aiplatform.Model.upload

google.cloud.aiplatform.Model.upload_scikit_learn_model_file

upload_scikit_learn_model_file(
    model_file_path: str,
    sklearn_version: typing.Optional[str] = None,
    display_name: typing.Optional[str] = None,
    description: typing.Optional[str] = None,
    model_id: typing.Optional[str] = None,
    parent_model: typing.Optional[str] = None,
    is_default_version: typing.Optional[bool] = True,
    version_aliases: typing.Optional[typing.Sequence[str]] = None,
    version_description: typing.Optional[str] = None,
    instance_schema_uri: typing.Optional[str] = None,
    parameters_schema_uri: typing.Optional[str] = None,
    prediction_schema_uri: typing.Optional[str] = None,
    explanation_metadata: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation_metadata.ExplanationMetadata
    ] = None,
    explanation_parameters: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation.ExplanationParameters
    ] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    staging_bucket: typing.Optional[str] = None,
    sync=True,
    upload_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.models.Model

Uploads a model and returns a Model representing the uploaded Model resource.

See more: google.cloud.aiplatform.Model.upload_scikit_learn_model_file

google.cloud.aiplatform.Model.upload_tensorflow_saved_model

upload_tensorflow_saved_model(
    saved_model_dir: str,
    tensorflow_version: typing.Optional[str] = None,
    use_gpu: bool = False,
    display_name: typing.Optional[str] = None,
    description: typing.Optional[str] = None,
    model_id: typing.Optional[str] = None,
    parent_model: typing.Optional[str] = None,
    is_default_version: typing.Optional[bool] = True,
    version_aliases: typing.Optional[typing.Sequence[str]] = None,
    version_description: typing.Optional[str] = None,
    instance_schema_uri: typing.Optional[str] = None,
    parameters_schema_uri: typing.Optional[str] = None,
    prediction_schema_uri: typing.Optional[str] = None,
    explanation_metadata: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation_metadata.ExplanationMetadata
    ] = None,
    explanation_parameters: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation.ExplanationParameters
    ] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    staging_bucket: typing.Optional[str] = None,
    sync=True,
    upload_request_timeout: typing.Optional[str] = None,
) -> google.cloud.aiplatform.models.Model

Uploads a model and returns a Model representing the uploaded Model resource.

See more: google.cloud.aiplatform.Model.upload_tensorflow_saved_model

google.cloud.aiplatform.Model.upload_xgboost_model_file

upload_xgboost_model_file(
    model_file_path: str,
    xgboost_version: typing.Optional[str] = None,
    display_name: typing.Optional[str] = None,
    description: typing.Optional[str] = None,
    model_id: typing.Optional[str] = None,
    parent_model: typing.Optional[str] = None,
    is_default_version: typing.Optional[bool] = True,
    version_aliases: typing.Optional[typing.Sequence[str]] = None,
    version_description: typing.Optional[str] = None,
    instance_schema_uri: typing.Optional[str] = None,
    parameters_schema_uri: typing.Optional[str] = None,
    prediction_schema_uri: typing.Optional[str] = None,
    explanation_metadata: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation_metadata.ExplanationMetadata
    ] = None,
    explanation_parameters: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation.ExplanationParameters
    ] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    staging_bucket: typing.Optional[str] = None,
    sync=True,
    upload_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.models.Model

Uploads a model and returns a Model representing the uploaded Model resource.

See more: google.cloud.aiplatform.Model.upload_xgboost_model_file

google.cloud.aiplatform.Model.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.Model.wait

google.cloud.aiplatform.ModelDeploymentMonitoringJob

ModelDeploymentMonitoringJob(
    model_deployment_monitoring_job_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
)

Initializer for ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform.ModelDeploymentMonitoringJob

google.cloud.aiplatform.ModelDeploymentMonitoringJob.cancel

cancel()

Cancels this Job.

See more: google.cloud.aiplatform.ModelDeploymentMonitoringJob.cancel

google.cloud.aiplatform.ModelDeploymentMonitoringJob.create

create(
    endpoint: typing.Union[str, google.cloud.aiplatform.models.Endpoint],
    objective_configs: typing.Optional[
        typing.Union[
            google.cloud.aiplatform.model_monitoring.objective.ObjectiveConfig,
            typing.Dict[
                str, google.cloud.aiplatform.model_monitoring.objective.ObjectiveConfig
            ],
        ]
    ] = None,
    logging_sampling_strategy: typing.Optional[
        google.cloud.aiplatform.model_monitoring.sampling.RandomSampleConfig
    ] = None,
    schedule_config: typing.Optional[
        google.cloud.aiplatform.model_monitoring.schedule.ScheduleConfig
    ] = None,
    display_name: typing.Optional[str] = None,
    deployed_model_ids: typing.Optional[typing.List[str]] = None,
    alert_config: typing.Optional[
        google.cloud.aiplatform.model_monitoring.alert.EmailAlertConfig
    ] = None,
    predict_instance_schema_uri: typing.Optional[str] = None,
    sample_predict_instance: typing.Optional[str] = None,
    analysis_instance_schema_uri: typing.Optional[str] = None,
    bigquery_tables_log_ttl: typing.Optional[int] = None,
    stats_anomalies_base_directory: typing.Optional[str] = None,
    enable_monitoring_pipeline_logs: typing.Optional[bool] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    create_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.jobs.ModelDeploymentMonitoringJob

Creates and launches a model monitoring job.

See more: google.cloud.aiplatform.ModelDeploymentMonitoringJob.create

google.cloud.aiplatform.ModelDeploymentMonitoringJob.delete

delete() -> None

Deletes an MDM job.

See more: google.cloud.aiplatform.ModelDeploymentMonitoringJob.delete

google.cloud.aiplatform.ModelDeploymentMonitoringJob.done

done() -> bool

Method indicating whether a job has completed.

See more: google.cloud.aiplatform.ModelDeploymentMonitoringJob.done

google.cloud.aiplatform.ModelDeploymentMonitoringJob.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.base.VertexAiResourceNoun]

List all instances of this Job Resource.

See more: google.cloud.aiplatform.ModelDeploymentMonitoringJob.list

google.cloud.aiplatform.ModelDeploymentMonitoringJob.pause

pause() -> google.cloud.aiplatform.jobs.ModelDeploymentMonitoringJob

Pause a running MDM job.

See more: google.cloud.aiplatform.ModelDeploymentMonitoringJob.pause

google.cloud.aiplatform.ModelDeploymentMonitoringJob.resume

resume() -> google.cloud.aiplatform.jobs.ModelDeploymentMonitoringJob

Resumes a paused MDM job.

See more: google.cloud.aiplatform.ModelDeploymentMonitoringJob.resume

google.cloud.aiplatform.ModelDeploymentMonitoringJob.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.ModelDeploymentMonitoringJob.to_dict

google.cloud.aiplatform.ModelDeploymentMonitoringJob.update

update(
    *,
    display_name: typing.Optional[str] = None,
    schedule_config: typing.Optional[
        google.cloud.aiplatform.model_monitoring.schedule.ScheduleConfig
    ] = None,
    alert_config: typing.Optional[
        google.cloud.aiplatform.model_monitoring.alert.EmailAlertConfig
    ] = None,
    logging_sampling_strategy: typing.Optional[
        google.cloud.aiplatform.model_monitoring.sampling.RandomSampleConfig
    ] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    bigquery_tables_log_ttl: typing.Optional[int] = None,
    enable_monitoring_pipeline_logs: typing.Optional[bool] = None,
    objective_configs: typing.Optional[
        typing.Union[
            google.cloud.aiplatform.model_monitoring.objective.ObjectiveConfig,
            typing.Dict[
                str, google.cloud.aiplatform.model_monitoring.objective.ObjectiveConfig
            ],
        ]
    ] = None,
    deployed_model_ids: typing.Optional[typing.List[str]] = None,
    update_request_timeout: typing.Optional[float] = None
) -> google.cloud.aiplatform.jobs.ModelDeploymentMonitoringJob

Updates an existing ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform.ModelDeploymentMonitoringJob.update

google.cloud.aiplatform.ModelDeploymentMonitoringJob.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.ModelDeploymentMonitoringJob.wait

google.cloud.aiplatform.ModelDeploymentMonitoringJob.wait_for_completion

wait_for_completion() -> None

Waits for job to complete.

See more: google.cloud.aiplatform.ModelDeploymentMonitoringJob.wait_for_completion

google.cloud.aiplatform.ModelEvaluation.delete

delete()

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.ModelEvaluation.delete

google.cloud.aiplatform.ModelEvaluation.list

list(
    model: str,
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    enable_simple_view: bool = False,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[
    google.cloud.aiplatform.model_evaluation.model_evaluation.ModelEvaluation
]

List all ModelEvaluation resources on the provided model.

See more: google.cloud.aiplatform.ModelEvaluation.list

google.cloud.aiplatform.ModelEvaluation.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.ModelEvaluation.to_dict

google.cloud.aiplatform.ModelEvaluation.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.ModelEvaluation.wait

google.cloud.aiplatform.PipelineJob.__init_subclass__

__init_subclass__(
    *,
    experiment_loggable_schemas: typing.Tuple[
        google.cloud.aiplatform.metadata.experiment_resources._ExperimentLoggableSchema
    ],
    **kwargs
)

Register the metadata_schema for the subclass so Experiment can use it to retrieve the associated types.

See more: google.cloud.aiplatform.PipelineJob.init_subclass

google.cloud.aiplatform.PipelineJob.batch_cancel

batch_cancel(
    project: str, location: str, names: typing.List[str]
) -> google.api_core.operation.Operation

Example Usage: pipeline_job = aiplatform.PipelineJob( display_name='job_display_name', template_path='your_pipeline.yaml', ) pipeline_job.batch_cancel( project='your_project_id', location='your_location', names=['pipeline_job_name', 'pipeline_job_name2'] ) .

See more: google.cloud.aiplatform.PipelineJob.batch_cancel

google.cloud.aiplatform.PipelineJob.batch_delete

batch_delete(
    project: str, location: str, names: typing.List[str]
) -> google.cloud.aiplatform_v1.types.pipeline_service.BatchDeletePipelineJobsResponse

Example Usage: pipeline_job = aiplatform.PipelineJob( display_name='job_display_name', template_path='your_pipeline.yaml', ) pipeline_job.batch_delete( project='your_project_id', location='your_location', names=['pipeline_job_name', 'pipeline_job_name2'] ) .

See more: google.cloud.aiplatform.PipelineJob.batch_delete

google.cloud.aiplatform.PipelineJob.cancel

cancel() -> None

Starts asynchronous cancellation on the PipelineJob.

See more: google.cloud.aiplatform.PipelineJob.cancel

google.cloud.aiplatform.PipelineJob.clone

clone(
    display_name: typing.Optional[str] = None,
    job_id: typing.Optional[str] = None,
    pipeline_root: typing.Optional[str] = None,
    parameter_values: typing.Optional[typing.Dict[str, typing.Any]] = None,
    input_artifacts: typing.Optional[typing.Dict[str, str]] = None,
    enable_caching: typing.Optional[bool] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
) -> google.cloud.aiplatform.pipeline_jobs.PipelineJob

Returns a new PipelineJob object with the same settings as the original one.

See more: google.cloud.aiplatform.PipelineJob.clone

google.cloud.aiplatform.PipelineJob.create_schedule

create_schedule(
    cron: str,
    display_name: str,
    start_time: typing.Optional[str] = None,
    end_time: typing.Optional[str] = None,
    allow_queueing: bool = False,
    max_run_count: typing.Optional[int] = None,
    max_concurrent_run_count: int = 1,
    service_account: typing.Optional[str] = None,
    network: typing.Optional[str] = None,
    create_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.pipeline_job_schedules.PipelineJobSchedule

Creates a PipelineJobSchedule directly from a PipelineJob.

See more: google.cloud.aiplatform.PipelineJob.create_schedule

google.cloud.aiplatform.PipelineJob.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.PipelineJob.delete

google.cloud.aiplatform.PipelineJob.done

done() -> bool

Helper method that return True is PipelineJob is done.

See more: google.cloud.aiplatform.PipelineJob.done

google.cloud.aiplatform.PipelineJob.from_pipeline_func

from_pipeline_func(
    pipeline_func: typing.Callable,
    parameter_values: typing.Optional[typing.Dict[str, typing.Any]] = None,
    input_artifacts: typing.Optional[typing.Dict[str, str]] = None,
    output_artifacts_gcs_dir: typing.Optional[str] = None,
    enable_caching: typing.Optional[bool] = None,
    context_name: typing.Optional[str] = "pipeline",
    display_name: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    job_id: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
) -> google.cloud.aiplatform.pipeline_jobs.PipelineJob

Creates PipelineJob by compiling a pipeline function.

See more: google.cloud.aiplatform.PipelineJob.from_pipeline_func

google.cloud.aiplatform.PipelineJob.get

get(
    resource_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> google.cloud.aiplatform.pipeline_jobs.PipelineJob

Get a Vertex AI Pipeline Job for the given resource_name.

See more: google.cloud.aiplatform.PipelineJob.get

google.cloud.aiplatform.PipelineJob.get_associated_experiment

get_associated_experiment() -> (
    typing.Optional[google.cloud.aiplatform.metadata.experiment_resources.Experiment]
)

Gets the aiplatform.Experiment associated with this PipelineJob, or None if this PipelineJob is not associated with an experiment.

See more: google.cloud.aiplatform.PipelineJob.get_associated_experiment

google.cloud.aiplatform.PipelineJob.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    enable_simple_view: bool = False,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.pipeline_jobs.PipelineJob]

List all instances of this PipelineJob resource.

See more: google.cloud.aiplatform.PipelineJob.list

google.cloud.aiplatform.PipelineJob.run

run(
    service_account: typing.Optional[str] = None,
    network: typing.Optional[str] = None,
    reserved_ip_ranges: typing.Optional[typing.List[str]] = None,
    sync: typing.Optional[bool] = True,
    create_request_timeout: typing.Optional[float] = None,
) -> None

Run this configured PipelineJob and monitor the job until completion.

See more: google.cloud.aiplatform.PipelineJob.run

google.cloud.aiplatform.PipelineJob.submit

submit(
    service_account: typing.Optional[str] = None,
    network: typing.Optional[str] = None,
    reserved_ip_ranges: typing.Optional[typing.List[str]] = None,
    create_request_timeout: typing.Optional[float] = None,
    *,
    experiment: typing.Optional[
        typing.Union[
            google.cloud.aiplatform.metadata.experiment_resources.Experiment, str
        ]
    ] = None
) -> None

Run this configured PipelineJob.

See more: google.cloud.aiplatform.PipelineJob.submit

google.cloud.aiplatform.PipelineJob.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.PipelineJob.to_dict

google.cloud.aiplatform.PipelineJob.wait

wait()

Wait for this PipelineJob to complete.

See more: google.cloud.aiplatform.PipelineJob.wait

google.cloud.aiplatform.PipelineJob.wait_for_resource_creation

wait_for_resource_creation() -> None

Waits until resource has been created.

See more: google.cloud.aiplatform.PipelineJob.wait_for_resource_creation

google.cloud.aiplatform.PipelineJobSchedule.create

create(
    cron: str,
    start_time: typing.Optional[str] = None,
    end_time: typing.Optional[str] = None,
    allow_queueing: bool = False,
    max_run_count: typing.Optional[int] = None,
    max_concurrent_run_count: int = 1,
    service_account: typing.Optional[str] = None,
    network: typing.Optional[str] = None,
    create_request_timeout: typing.Optional[float] = None,
) -> None

Create a PipelineJobSchedule.

See more: google.cloud.aiplatform.PipelineJobSchedule.create

google.cloud.aiplatform.PipelineJobSchedule.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.PipelineJobSchedule.delete

google.cloud.aiplatform.PipelineJobSchedule.done

done() -> bool

Helper method that return True is Schedule is done.

See more: google.cloud.aiplatform.PipelineJobSchedule.done

google.cloud.aiplatform.PipelineJobSchedule.get

get(
    schedule_id: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.Any

Get a Vertex AI Schedule for the given resource_name.

See more: google.cloud.aiplatform.PipelineJobSchedule.get

google.cloud.aiplatform.PipelineJobSchedule.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.pipeline_job_schedules.PipelineJobSchedule]

List all instances of this PipelineJobSchedule resource.

See more: google.cloud.aiplatform.PipelineJobSchedule.list

google.cloud.aiplatform.PipelineJobSchedule.list_jobs

list_jobs(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    enable_simple_view: bool = True,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.pipeline_jobs.PipelineJob]

List all PipelineJob 's created by this PipelineJobSchedule.

See more: google.cloud.aiplatform.PipelineJobSchedule.list_jobs

google.cloud.aiplatform.PipelineJobSchedule.pause

pause() -> None

Starts asynchronous pause on the Schedule.

See more: google.cloud.aiplatform.PipelineJobSchedule.pause

google.cloud.aiplatform.PipelineJobSchedule.resume

resume(catch_up: bool = True) -> None

Starts asynchronous resume on the Schedule.

See more: google.cloud.aiplatform.PipelineJobSchedule.resume

google.cloud.aiplatform.PipelineJobSchedule.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.PipelineJobSchedule.to_dict

google.cloud.aiplatform.PipelineJobSchedule.update

update(
    display_name: typing.Optional[str] = None,
    cron: typing.Optional[str] = None,
    start_time: typing.Optional[str] = None,
    end_time: typing.Optional[str] = None,
    allow_queueing: typing.Optional[bool] = None,
    max_run_count: typing.Optional[int] = None,
    max_concurrent_run_count: typing.Optional[int] = None,
) -> None

Update an existing PipelineJobSchedule.

See more: google.cloud.aiplatform.PipelineJobSchedule.update

google.cloud.aiplatform.PipelineJobSchedule.wait

wait() -> None

Wait for all runs scheduled by this Schedule to complete.

See more: google.cloud.aiplatform.PipelineJobSchedule.wait

google.cloud.aiplatform.PrivateEndpoint

PrivateEndpoint(
    endpoint_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
)

Retrieves a PrivateEndpoint resource.

See more: google.cloud.aiplatform.PrivateEndpoint

google.cloud.aiplatform.PrivateEndpoint.create

create(
    display_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    network: typing.Optional[str] = None,
    description: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    sync=True,
) -> google.cloud.aiplatform.models.PrivateEndpoint

Creates a new PrivateEndpoint.

See more: google.cloud.aiplatform.PrivateEndpoint.create

google.cloud.aiplatform.PrivateEndpoint.delete

delete(force: bool = False, sync: bool = True) -> None

Deletes this Vertex AI PrivateEndpoint resource.

See more: google.cloud.aiplatform.PrivateEndpoint.delete

google.cloud.aiplatform.PrivateEndpoint.deploy

deploy(
    model: google.cloud.aiplatform.models.Model,
    deployed_model_display_name: typing.Optional[str] = None,
    machine_type: typing.Optional[str] = None,
    min_replica_count: int = 1,
    max_replica_count: int = 1,
    accelerator_type: typing.Optional[str] = None,
    accelerator_count: typing.Optional[int] = None,
    service_account: typing.Optional[str] = None,
    explanation_metadata: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation_metadata.ExplanationMetadata
    ] = None,
    explanation_parameters: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation.ExplanationParameters
    ] = None,
    metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    sync=True,
    disable_container_logging: bool = False,
) -> None

Deploys a Model to the PrivateEndpoint.

See more: google.cloud.aiplatform.PrivateEndpoint.deploy

google.cloud.aiplatform.PrivateEndpoint.explain

explain()

Make a prediction with explanations against this Endpoint.

See more: google.cloud.aiplatform.PrivateEndpoint.explain

google.cloud.aiplatform.PrivateEndpoint.explain_async

explain_async(
    instances: typing.List[typing.Dict],
    *,
    parameters: typing.Optional[typing.Dict] = None,
    deployed_model_id: typing.Optional[str] = None,
    timeout: typing.Optional[float] = None
) -> google.cloud.aiplatform.models.Prediction

Make a prediction with explanations against this Endpoint.

See more: google.cloud.aiplatform.PrivateEndpoint.explain_async

google.cloud.aiplatform.PrivateEndpoint.health_check

health_check() -> bool

Makes a request to this PrivateEndpoint's health check URI.

See more: google.cloud.aiplatform.PrivateEndpoint.health_check

google.cloud.aiplatform.PrivateEndpoint.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.models.PrivateEndpoint]

List all PrivateEndpoint resource instances.

See more: google.cloud.aiplatform.PrivateEndpoint.list

google.cloud.aiplatform.PrivateEndpoint.list_models

list_models() -> (
    typing.List[google.cloud.aiplatform_v1.types.endpoint.DeployedModel]
)

Returns a list of the models deployed to this Endpoint.

See more: google.cloud.aiplatform.PrivateEndpoint.list_models

google.cloud.aiplatform.PrivateEndpoint.predict

predict(
    instances: typing.List, parameters: typing.Optional[typing.Dict] = None
) -> google.cloud.aiplatform.models.Prediction

Make a prediction against this PrivateEndpoint using a HTTP request.

See more: google.cloud.aiplatform.PrivateEndpoint.predict

google.cloud.aiplatform.PrivateEndpoint.predict_async

predict_async(
    instances: typing.List,
    *,
    parameters: typing.Optional[typing.Dict] = None,
    timeout: typing.Optional[float] = None
) -> google.cloud.aiplatform.models.Prediction

Make an asynchronous prediction against this Endpoint.

See more: google.cloud.aiplatform.PrivateEndpoint.predict_async

google.cloud.aiplatform.PrivateEndpoint.raw_predict

raw_predict(
    body: bytes, headers: typing.Dict[str, str]
) -> requests.models.Response

Make a prediction request using arbitrary headers.

See more: google.cloud.aiplatform.PrivateEndpoint.raw_predict

google.cloud.aiplatform.PrivateEndpoint.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.PrivateEndpoint.to_dict

google.cloud.aiplatform.PrivateEndpoint.undeploy

undeploy(deployed_model_id: str, sync=True) -> None

Undeploys a deployed model from the PrivateEndpoint.

See more: google.cloud.aiplatform.PrivateEndpoint.undeploy

google.cloud.aiplatform.PrivateEndpoint.undeploy_all

undeploy_all(sync: bool = True) -> google.cloud.aiplatform.models.Endpoint

Undeploys every model deployed to this Endpoint.

See more: google.cloud.aiplatform.PrivateEndpoint.undeploy_all

google.cloud.aiplatform.PrivateEndpoint.update

update(
    display_name: typing.Optional[str] = None,
    description: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    traffic_split: typing.Optional[typing.Dict[str, int]] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    update_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.models.Endpoint

Updates an endpoint.

See more: google.cloud.aiplatform.PrivateEndpoint.update

google.cloud.aiplatform.PrivateEndpoint.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.PrivateEndpoint.wait

google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob

SequenceToSequencePlusForecastingTrainingJob(
    display_name: typing.Optional[str] = None,
    optimization_objective: typing.Optional[str] = None,
    column_specs: typing.Optional[typing.Dict[str, str]] = None,
    column_transformations: typing.Optional[
        typing.List[typing.Dict[str, typing.Dict[str, str]]]
    ] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    training_encryption_spec_key_name: typing.Optional[str] = None,
    model_encryption_spec_key_name: typing.Optional[str] = None,
)

Constructs a Forecasting Training Job.

See more: google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob

google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.cancel

cancel() -> None

Starts asynchronous cancellation on the TrainingJob.

See more: google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.cancel

google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.delete

google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.done

done() -> bool

Method indicating whether a job has completed.

See more: google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.done

google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.get

get(
    resource_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> google.cloud.aiplatform.training_jobs._TrainingJob

Get Training Job for the given resource_name.

See more: google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.get

google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.get_model

get_model(sync=True) -> google.cloud.aiplatform.models.Model

Vertex AI Model produced by this training, if one was produced.

See more: google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.get_model

google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.base.VertexAiResourceNoun]

List all instances of this TrainingJob resource.

See more: google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.list

google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.run

run(
    dataset: google.cloud.aiplatform.datasets.time_series_dataset.TimeSeriesDataset,
    target_column: str,
    time_column: str,
    time_series_identifier_column: str,
    unavailable_at_forecast_columns: typing.List[str],
    available_at_forecast_columns: typing.List[str],
    forecast_horizon: int,
    data_granularity_unit: str,
    data_granularity_count: int,
    training_fraction_split: typing.Optional[float] = None,
    validation_fraction_split: typing.Optional[float] = None,
    test_fraction_split: typing.Optional[float] = None,
    predefined_split_column_name: typing.Optional[str] = None,
    timestamp_split_column_name: typing.Optional[str] = None,
    weight_column: typing.Optional[str] = None,
    time_series_attribute_columns: typing.Optional[typing.List[str]] = None,
    context_window: typing.Optional[int] = None,
    export_evaluated_data_items: bool = False,
    export_evaluated_data_items_bigquery_destination_uri: typing.Optional[str] = None,
    export_evaluated_data_items_override_destination: bool = False,
    quantiles: typing.Optional[typing.List[float]] = None,
    validation_options: typing.Optional[str] = None,
    budget_milli_node_hours: int = 1000,
    model_display_name: typing.Optional[str] = None,
    model_labels: typing.Optional[typing.Dict[str, str]] = None,
    model_id: typing.Optional[str] = None,
    parent_model: typing.Optional[str] = None,
    is_default_version: typing.Optional[bool] = True,
    model_version_aliases: typing.Optional[typing.Sequence[str]] = None,
    model_version_description: typing.Optional[str] = None,
    additional_experiments: typing.Optional[typing.List[str]] = None,
    hierarchy_group_columns: typing.Optional[typing.List[str]] = None,
    hierarchy_group_total_weight: typing.Optional[float] = None,
    hierarchy_temporal_total_weight: typing.Optional[float] = None,
    hierarchy_group_temporal_total_weight: typing.Optional[float] = None,
    window_column: typing.Optional[str] = None,
    window_stride_length: typing.Optional[int] = None,
    window_max_count: typing.Optional[int] = None,
    holiday_regions: typing.Optional[typing.List[str]] = None,
    sync: bool = True,
    create_request_timeout: typing.Optional[float] = None,
    enable_probabilistic_inference: bool = False,
) -> google.cloud.aiplatform.models.Model

Runs the training job and returns a model.

See more: google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.run

google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.to_dict

google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.wait

google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.wait_for_resource_creation

wait_for_resource_creation() -> None

Waits until resource has been created.

See more: google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.wait_for_resource_creation

google.cloud.aiplatform.TabularDataset

TabularDataset(
    dataset_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
)

Retrieves an existing managed dataset given a dataset name or ID.

See more: google.cloud.aiplatform.TabularDataset

google.cloud.aiplatform.TabularDataset.create

create(
    display_name: typing.Optional[str] = None,
    gcs_source: typing.Optional[typing.Union[str, typing.Sequence[str]]] = None,
    bq_source: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    labels: typing.Optional[typing.Dict[str, str]] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    sync: bool = True,
    create_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.datasets.tabular_dataset.TabularDataset

Creates a tabular dataset.

See more: google.cloud.aiplatform.TabularDataset.create

google.cloud.aiplatform.TabularDataset.create_from_dataframe

create_from_dataframe(
    df_source: pd.DataFrame,
    staging_path: str,
    bq_schema: typing.Optional[
        typing.Union[str, google.cloud.bigquery.schema.SchemaField]
    ] = None,
    display_name: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> TabularDataset

Creates a new tabular dataset from a pandas DataFrame.

See more: google.cloud.aiplatform.TabularDataset.create_from_dataframe

google.cloud.aiplatform.TabularDataset.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.TabularDataset.delete

google.cloud.aiplatform.TabularDataset.export_data

export_data(output_dir: str) -> typing.Sequence[str]

Exports data to output dir to GCS.

See more: google.cloud.aiplatform.TabularDataset.export_data

google.cloud.aiplatform.TabularDataset.export_data_for_custom_training

export_data_for_custom_training(
    output_dir: str,
    annotation_filter: typing.Optional[str] = None,
    saved_query_id: typing.Optional[str] = None,
    annotation_schema_uri: typing.Optional[str] = None,
    split: typing.Optional[
        typing.Union[typing.Dict[str, str], typing.Dict[str, float]]
    ] = None,
) -> typing.Dict[str, typing.Any]

Exports data to output dir to GCS for custom training use case.

See more: google.cloud.aiplatform.TabularDataset.export_data_for_custom_training

google.cloud.aiplatform.TabularDataset.import_data

import_data()

Upload data to existing managed dataset.

See more: google.cloud.aiplatform.TabularDataset.import_data

google.cloud.aiplatform.TabularDataset.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.base.VertexAiResourceNoun]

List all instances of this Dataset resource.

See more: google.cloud.aiplatform.TabularDataset.list

google.cloud.aiplatform.TabularDataset.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.TabularDataset.to_dict

google.cloud.aiplatform.TabularDataset.update

update(
    *,
    display_name: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    description: typing.Optional[str] = None,
    update_request_timeout: typing.Optional[float] = None
) -> google.cloud.aiplatform.datasets.dataset._Dataset

Update the dataset.

See more: google.cloud.aiplatform.TabularDataset.update

google.cloud.aiplatform.TabularDataset.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.TabularDataset.wait

google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob

TemporalFusionTransformerForecastingTrainingJob(
    display_name: typing.Optional[str] = None,
    optimization_objective: typing.Optional[str] = None,
    column_specs: typing.Optional[typing.Dict[str, str]] = None,
    column_transformations: typing.Optional[
        typing.List[typing.Dict[str, typing.Dict[str, str]]]
    ] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    training_encryption_spec_key_name: typing.Optional[str] = None,
    model_encryption_spec_key_name: typing.Optional[str] = None,
)

Constructs a Forecasting Training Job.

See more: google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob

google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.cancel

cancel() -> None

Starts asynchronous cancellation on the TrainingJob.

See more: google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.cancel

google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.delete

google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.done

done() -> bool

Method indicating whether a job has completed.

See more: google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.done

google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.get

get(
    resource_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> google.cloud.aiplatform.training_jobs._TrainingJob

Get Training Job for the given resource_name.

See more: google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.get

google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.get_model

get_model(sync=True) -> google.cloud.aiplatform.models.Model

Vertex AI Model produced by this training, if one was produced.

See more: google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.get_model

google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.base.VertexAiResourceNoun]

List all instances of this TrainingJob resource.

See more: google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.list

google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.run

run(
    dataset: google.cloud.aiplatform.datasets.time_series_dataset.TimeSeriesDataset,
    target_column: str,
    time_column: str,
    time_series_identifier_column: str,
    unavailable_at_forecast_columns: typing.List[str],
    available_at_forecast_columns: typing.List[str],
    forecast_horizon: int,
    data_granularity_unit: str,
    data_granularity_count: int,
    training_fraction_split: typing.Optional[float] = None,
    validation_fraction_split: typing.Optional[float] = None,
    test_fraction_split: typing.Optional[float] = None,
    predefined_split_column_name: typing.Optional[str] = None,
    timestamp_split_column_name: typing.Optional[str] = None,
    weight_column: typing.Optional[str] = None,
    time_series_attribute_columns: typing.Optional[typing.List[str]] = None,
    context_window: typing.Optional[int] = None,
    export_evaluated_data_items: bool = False,
    export_evaluated_data_items_bigquery_destination_uri: typing.Optional[str] = None,
    export_evaluated_data_items_override_destination: bool = False,
    quantiles: typing.Optional[typing.List[float]] = None,
    validation_options: typing.Optional[str] = None,
    budget_milli_node_hours: int = 1000,
    model_display_name: typing.Optional[str] = None,
    model_labels: typing.Optional[typing.Dict[str, str]] = None,
    model_id: typing.Optional[str] = None,
    parent_model: typing.Optional[str] = None,
    is_default_version: typing.Optional[bool] = True,
    model_version_aliases: typing.Optional[typing.Sequence[str]] = None,
    model_version_description: typing.Optional[str] = None,
    additional_experiments: typing.Optional[typing.List[str]] = None,
    hierarchy_group_columns: typing.Optional[typing.List[str]] = None,
    hierarchy_group_total_weight: typing.Optional[float] = None,
    hierarchy_temporal_total_weight: typing.Optional[float] = None,
    hierarchy_group_temporal_total_weight: typing.Optional[float] = None,
    window_column: typing.Optional[str] = None,
    window_stride_length: typing.Optional[int] = None,
    window_max_count: typing.Optional[int] = None,
    holiday_regions: typing.Optional[typing.List[str]] = None,
    sync: bool = True,
    create_request_timeout: typing.Optional[float] = None,
    enable_probabilistic_inference: bool = False,
) -> google.cloud.aiplatform.models.Model

Runs the training job and returns a model.

See more: google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.run

google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.to_dict

google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.wait

google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.wait_for_resource_creation

wait_for_resource_creation() -> None

Waits until resource has been created.

See more: google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.wait_for_resource_creation

google.cloud.aiplatform.Tensorboard

Tensorboard(
    tensorboard_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
)

Retrieves an existing managed tensorboard given a tensorboard name or ID.

See more: google.cloud.aiplatform.Tensorboard

google.cloud.aiplatform.Tensorboard.create

create(
    display_name: typing.Optional[str] = None,
    description: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    encryption_spec_key_name: typing.Optional[str] = None,
    create_request_timeout: typing.Optional[float] = None,
    is_default: bool = False,
) -> google.cloud.aiplatform.tensorboard.tensorboard_resource.Tensorboard

Creates a new tensorboard.

See more: google.cloud.aiplatform.Tensorboard.create

google.cloud.aiplatform.Tensorboard.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.Tensorboard.delete

google.cloud.aiplatform.Tensorboard.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    parent: typing.Optional[str] = None,
) -> typing.List[google.cloud.aiplatform.base.VertexAiResourceNoun]

List all instances of this Vertex AI Resource.

See more: google.cloud.aiplatform.Tensorboard.list

google.cloud.aiplatform.Tensorboard.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.Tensorboard.to_dict

google.cloud.aiplatform.Tensorboard.update

update(
    display_name: typing.Optional[str] = None,
    description: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    encryption_spec_key_name: typing.Optional[str] = None,
    is_default: typing.Optional[bool] = None,
) -> google.cloud.aiplatform.tensorboard.tensorboard_resource.Tensorboard

Updates an existing tensorboard.

See more: google.cloud.aiplatform.Tensorboard.update

google.cloud.aiplatform.Tensorboard.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.Tensorboard.wait

google.cloud.aiplatform.TensorboardExperiment

TensorboardExperiment(
    tensorboard_experiment_name: str,
    tensorboard_id: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
)

Retrieves an existing tensorboard experiment given a tensorboard experiment name or ID.

See more: google.cloud.aiplatform.TensorboardExperiment

google.cloud.aiplatform.TensorboardExperiment.create

create(
    tensorboard_experiment_id: str,
    tensorboard_name: str,
    display_name: typing.Optional[str] = None,
    description: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    request_metadata: typing.Sequence[typing.Tuple[str, str]] = (),
    create_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.tensorboard.tensorboard_resource.TensorboardExperiment

Creates a new TensorboardExperiment.

See more: google.cloud.aiplatform.TensorboardExperiment.create

google.cloud.aiplatform.TensorboardExperiment.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.TensorboardExperiment.delete

google.cloud.aiplatform.TensorboardExperiment.list

list(
    tensorboard_name: str,
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[
    google.cloud.aiplatform.tensorboard.tensorboard_resource.TensorboardExperiment
]

List TensorboardExperiemnts in a Tensorboard resource.

See more: google.cloud.aiplatform.TensorboardExperiment.list

google.cloud.aiplatform.TensorboardExperiment.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.TensorboardExperiment.to_dict

google.cloud.aiplatform.TensorboardExperiment.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.TensorboardExperiment.wait

google.cloud.aiplatform.TensorboardRun

TensorboardRun(
    tensorboard_run_name: str,
    tensorboard_id: typing.Optional[str] = None,
    tensorboard_experiment_id: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
)

Retrieves an existing tensorboard run given a tensorboard run name or ID.

See more: google.cloud.aiplatform.TensorboardRun

google.cloud.aiplatform.TensorboardRun.create

create(
    tensorboard_run_id: str,
    tensorboard_experiment_name: str,
    tensorboard_id: typing.Optional[str] = None,
    display_name: typing.Optional[str] = None,
    description: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    request_metadata: typing.Sequence[typing.Tuple[str, str]] = (),
    create_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.tensorboard.tensorboard_resource.TensorboardRun

Creates a new tensorboard run.

See more: google.cloud.aiplatform.TensorboardRun.create

google.cloud.aiplatform.TensorboardRun.create_tensorboard_time_series

create_tensorboard_time_series(
    display_name: str,
    value_type: typing.Union[
        google.cloud.aiplatform_v1.types.tensorboard_time_series.TensorboardTimeSeries.ValueType,
        str,
    ] = "SCALAR",
    plugin_name: str = "scalars",
    plugin_data: typing.Optional[bytes] = None,
    description: typing.Optional[str] = None,
) -> google.cloud.aiplatform.tensorboard.tensorboard_resource.TensorboardTimeSeries

Creates a new tensorboard time series.

See more: google.cloud.aiplatform.TensorboardRun.create_tensorboard_time_series

google.cloud.aiplatform.TensorboardRun.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.TensorboardRun.delete

google.cloud.aiplatform.TensorboardRun.list

list(
    tensorboard_experiment_name: str,
    tensorboard_id: typing.Optional[str] = None,
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[
    google.cloud.aiplatform.tensorboard.tensorboard_resource.TensorboardRun
]

List all instances of TensorboardRun in TensorboardExperiment.

See more: google.cloud.aiplatform.TensorboardRun.list

google.cloud.aiplatform.TensorboardRun.read_time_series_data

read_time_series_data() -> (
    typing.Dict[str, google.cloud.aiplatform_v1.types.tensorboard_data.TimeSeriesData]
)

Read the time series data of this run.

See more: google.cloud.aiplatform.TensorboardRun.read_time_series_data

google.cloud.aiplatform.TensorboardRun.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.TensorboardRun.to_dict

google.cloud.aiplatform.TensorboardRun.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.TensorboardRun.wait

google.cloud.aiplatform.TensorboardRun.write_tensorboard_scalar_data

write_tensorboard_scalar_data(
    time_series_data: typing.Dict[str, float],
    step: int,
    wall_time: typing.Optional[google.protobuf.timestamp_pb2.Timestamp] = None,
)

Writes tensorboard scalar data to this run.

See more: google.cloud.aiplatform.TensorboardRun.write_tensorboard_scalar_data

google.cloud.aiplatform.TensorboardTimeSeries

TensorboardTimeSeries(
    tensorboard_time_series_name: str,
    tensorboard_id: typing.Optional[str] = None,
    tensorboard_experiment_id: typing.Optional[str] = None,
    tensorboard_run_id: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
)

Retrieves an existing tensorboard time series given a tensorboard time series name or ID.

See more: google.cloud.aiplatform.TensorboardTimeSeries

google.cloud.aiplatform.TensorboardTimeSeries.create

create(
    display_name: str,
    tensorboard_run_name: str,
    tensorboard_id: typing.Optional[str] = None,
    tensorboard_experiment_id: typing.Optional[str] = None,
    value_type: typing.Union[
        google.cloud.aiplatform_v1.types.tensorboard_time_series.TensorboardTimeSeries.ValueType,
        str,
    ] = "SCALAR",
    plugin_name: str = "scalars",
    plugin_data: typing.Optional[bytes] = None,
    description: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> google.cloud.aiplatform.tensorboard.tensorboard_resource.TensorboardTimeSeries

Creates a new tensorboard time series.

See more: google.cloud.aiplatform.TensorboardTimeSeries.create

google.cloud.aiplatform.TensorboardTimeSeries.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.TensorboardTimeSeries.delete

google.cloud.aiplatform.TensorboardTimeSeries.list

list(
    tensorboard_run_name: str,
    tensorboard_id: typing.Optional[str] = None,
    tensorboard_experiment_id: typing.Optional[str] = None,
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[
    google.cloud.aiplatform.tensorboard.tensorboard_resource.TensorboardTimeSeries
]

List all instances of TensorboardTimeSeries in TensorboardRun.

See more: google.cloud.aiplatform.TensorboardTimeSeries.list

google.cloud.aiplatform.TensorboardTimeSeries.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.TensorboardTimeSeries.to_dict

google.cloud.aiplatform.TensorboardTimeSeries.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.TensorboardTimeSeries.wait

google.cloud.aiplatform.TextDataset

TextDataset(
    dataset_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
)

Retrieves an existing managed dataset given a dataset name or ID.

See more: google.cloud.aiplatform.TextDataset

google.cloud.aiplatform.TextDataset.create

create(
    display_name: typing.Optional[str] = None,
    gcs_source: typing.Optional[typing.Union[str, typing.Sequence[str]]] = None,
    import_schema_uri: typing.Optional[str] = None,
    data_item_labels: typing.Optional[typing.Dict] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    labels: typing.Optional[typing.Dict[str, str]] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    sync: bool = True,
    create_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.datasets.text_dataset.TextDataset

Creates a new text dataset and optionally imports data into dataset when source and import_schema_uri are passed.

See more: google.cloud.aiplatform.TextDataset.create

google.cloud.aiplatform.TextDataset.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.TextDataset.delete

google.cloud.aiplatform.TextDataset.export_data

export_data(output_dir: str) -> typing.Sequence[str]

Exports data to output dir to GCS.

See more: google.cloud.aiplatform.TextDataset.export_data

google.cloud.aiplatform.TextDataset.export_data_for_custom_training

export_data_for_custom_training(
    output_dir: str,
    annotation_filter: typing.Optional[str] = None,
    saved_query_id: typing.Optional[str] = None,
    annotation_schema_uri: typing.Optional[str] = None,
    split: typing.Optional[
        typing.Union[typing.Dict[str, str], typing.Dict[str, float]]
    ] = None,
) -> typing.Dict[str, typing.Any]

Exports data to output dir to GCS for custom training use case.

See more: google.cloud.aiplatform.TextDataset.export_data_for_custom_training

google.cloud.aiplatform.TextDataset.import_data

import_data(
    gcs_source: typing.Union[str, typing.Sequence[str]],
    import_schema_uri: str,
    data_item_labels: typing.Optional[typing.Dict] = None,
    sync: bool = True,
    import_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.datasets.dataset._Dataset

Upload data to existing managed dataset.

See more: google.cloud.aiplatform.TextDataset.import_data

google.cloud.aiplatform.TextDataset.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.base.VertexAiResourceNoun]

List all instances of this Dataset resource.

See more: google.cloud.aiplatform.TextDataset.list

google.cloud.aiplatform.TextDataset.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.TextDataset.to_dict

google.cloud.aiplatform.TextDataset.update

update(
    *,
    display_name: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    description: typing.Optional[str] = None,
    update_request_timeout: typing.Optional[float] = None
) -> google.cloud.aiplatform.datasets.dataset._Dataset

Update the dataset.

See more: google.cloud.aiplatform.TextDataset.update

google.cloud.aiplatform.TextDataset.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.TextDataset.wait

google.cloud.aiplatform.TimeSeriesDataset

TimeSeriesDataset(
    dataset_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
)

Retrieves an existing managed dataset given a dataset name or ID.

See more: google.cloud.aiplatform.TimeSeriesDataset

google.cloud.aiplatform.TimeSeriesDataset.create

create(
    display_name: typing.Optional[str] = None,
    gcs_source: typing.Optional[typing.Union[str, typing.Sequence[str]]] = None,
    bq_source: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    labels: typing.Optional[typing.Dict[str, str]] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    sync: bool = True,
    create_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.datasets.time_series_dataset.TimeSeriesDataset

Creates a new time series dataset.

See more: google.cloud.aiplatform.TimeSeriesDataset.create

google.cloud.aiplatform.TimeSeriesDataset.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.TimeSeriesDataset.delete

google.cloud.aiplatform.TimeSeriesDataset.export_data

export_data(output_dir: str) -> typing.Sequence[str]

Exports data to output dir to GCS.

See more: google.cloud.aiplatform.TimeSeriesDataset.export_data

google.cloud.aiplatform.TimeSeriesDataset.export_data_for_custom_training

export_data_for_custom_training(
    output_dir: str,
    annotation_filter: typing.Optional[str] = None,
    saved_query_id: typing.Optional[str] = None,
    annotation_schema_uri: typing.Optional[str] = None,
    split: typing.Optional[
        typing.Union[typing.Dict[str, str], typing.Dict[str, float]]
    ] = None,
) -> typing.Dict[str, typing.Any]

Exports data to output dir to GCS for custom training use case.

See more: google.cloud.aiplatform.TimeSeriesDataset.export_data_for_custom_training

google.cloud.aiplatform.TimeSeriesDataset.import_data

import_data()

Upload data to existing managed dataset.

See more: google.cloud.aiplatform.TimeSeriesDataset.import_data

google.cloud.aiplatform.TimeSeriesDataset.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.base.VertexAiResourceNoun]

List all instances of this Dataset resource.

See more: google.cloud.aiplatform.TimeSeriesDataset.list

google.cloud.aiplatform.TimeSeriesDataset.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.TimeSeriesDataset.to_dict

google.cloud.aiplatform.TimeSeriesDataset.update

update(
    *,
    display_name: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    description: typing.Optional[str] = None,
    update_request_timeout: typing.Optional[float] = None
) -> google.cloud.aiplatform.datasets.dataset._Dataset

Update the dataset.

See more: google.cloud.aiplatform.TimeSeriesDataset.update

google.cloud.aiplatform.TimeSeriesDataset.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.TimeSeriesDataset.wait

google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob

TimeSeriesDenseEncoderForecastingTrainingJob(
    display_name: typing.Optional[str] = None,
    optimization_objective: typing.Optional[str] = None,
    column_specs: typing.Optional[typing.Dict[str, str]] = None,
    column_transformations: typing.Optional[
        typing.List[typing.Dict[str, typing.Dict[str, str]]]
    ] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    training_encryption_spec_key_name: typing.Optional[str] = None,
    model_encryption_spec_key_name: typing.Optional[str] = None,
)

Constructs a Forecasting Training Job.

See more: google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob

google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.cancel

cancel() -> None

Starts asynchronous cancellation on the TrainingJob.

See more: google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.cancel

google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.delete

google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.done

done() -> bool

Method indicating whether a job has completed.

See more: google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.done

google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.get

get(
    resource_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> google.cloud.aiplatform.training_jobs._TrainingJob

Get Training Job for the given resource_name.

See more: google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.get

google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.get_model

get_model(sync=True) -> google.cloud.aiplatform.models.Model

Vertex AI Model produced by this training, if one was produced.

See more: google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.get_model

google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.base.VertexAiResourceNoun]

List all instances of this TrainingJob resource.

See more: google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.list

google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.run

run(
    dataset: google.cloud.aiplatform.datasets.time_series_dataset.TimeSeriesDataset,
    target_column: str,
    time_column: str,
    time_series_identifier_column: str,
    unavailable_at_forecast_columns: typing.List[str],
    available_at_forecast_columns: typing.List[str],
    forecast_horizon: int,
    data_granularity_unit: str,
    data_granularity_count: int,
    training_fraction_split: typing.Optional[float] = None,
    validation_fraction_split: typing.Optional[float] = None,
    test_fraction_split: typing.Optional[float] = None,
    predefined_split_column_name: typing.Optional[str] = None,
    timestamp_split_column_name: typing.Optional[str] = None,
    weight_column: typing.Optional[str] = None,
    time_series_attribute_columns: typing.Optional[typing.List[str]] = None,
    context_window: typing.Optional[int] = None,
    export_evaluated_data_items: bool = False,
    export_evaluated_data_items_bigquery_destination_uri: typing.Optional[str] = None,
    export_evaluated_data_items_override_destination: bool = False,
    quantiles: typing.Optional[typing.List[float]] = None,
    validation_options: typing.Optional[str] = None,
    budget_milli_node_hours: int = 1000,
    model_display_name: typing.Optional[str] = None,
    model_labels: typing.Optional[typing.Dict[str, str]] = None,
    model_id: typing.Optional[str] = None,
    parent_model: typing.Optional[str] = None,
    is_default_version: typing.Optional[bool] = True,
    model_version_aliases: typing.Optional[typing.Sequence[str]] = None,
    model_version_description: typing.Optional[str] = None,
    additional_experiments: typing.Optional[typing.List[str]] = None,
    hierarchy_group_columns: typing.Optional[typing.List[str]] = None,
    hierarchy_group_total_weight: typing.Optional[float] = None,
    hierarchy_temporal_total_weight: typing.Optional[float] = None,
    hierarchy_group_temporal_total_weight: typing.Optional[float] = None,
    window_column: typing.Optional[str] = None,
    window_stride_length: typing.Optional[int] = None,
    window_max_count: typing.Optional[int] = None,
    holiday_regions: typing.Optional[typing.List[str]] = None,
    sync: bool = True,
    create_request_timeout: typing.Optional[float] = None,
    enable_probabilistic_inference: bool = False,
) -> google.cloud.aiplatform.models.Model

Runs the training job and returns a model.

See more: google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.run

google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.to_dict

google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.wait

google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.wait_for_resource_creation

wait_for_resource_creation() -> None

Waits until resource has been created.

See more: google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.wait_for_resource_creation

google.cloud.aiplatform.VideoDataset

VideoDataset(
    dataset_name: str,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
)

Retrieves an existing managed dataset given a dataset name or ID.

See more: google.cloud.aiplatform.VideoDataset

google.cloud.aiplatform.VideoDataset.create

create(
    display_name: typing.Optional[str] = None,
    gcs_source: typing.Optional[typing.Union[str, typing.Sequence[str]]] = None,
    import_schema_uri: typing.Optional[str] = None,
    data_item_labels: typing.Optional[typing.Dict] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    request_metadata: typing.Optional[typing.Sequence[typing.Tuple[str, str]]] = (),
    labels: typing.Optional[typing.Dict[str, str]] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    sync: bool = True,
    create_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.datasets.video_dataset.VideoDataset

Creates a new video dataset and optionally imports data into dataset when source and import_schema_uri are passed.

See more: google.cloud.aiplatform.VideoDataset.create

google.cloud.aiplatform.VideoDataset.delete

delete(sync: bool = True) -> None

Deletes this Vertex AI resource.

See more: google.cloud.aiplatform.VideoDataset.delete

google.cloud.aiplatform.VideoDataset.export_data

export_data(output_dir: str) -> typing.Sequence[str]

Exports data to output dir to GCS.

See more: google.cloud.aiplatform.VideoDataset.export_data

google.cloud.aiplatform.VideoDataset.export_data_for_custom_training

export_data_for_custom_training(
    output_dir: str,
    annotation_filter: typing.Optional[str] = None,
    saved_query_id: typing.Optional[str] = None,
    annotation_schema_uri: typing.Optional[str] = None,
    split: typing.Optional[
        typing.Union[typing.Dict[str, str], typing.Dict[str, float]]
    ] = None,
) -> typing.Dict[str, typing.Any]

Exports data to output dir to GCS for custom training use case.

See more: google.cloud.aiplatform.VideoDataset.export_data_for_custom_training

google.cloud.aiplatform.VideoDataset.import_data

import_data(
    gcs_source: typing.Union[str, typing.Sequence[str]],
    import_schema_uri: str,
    data_item_labels: typing.Optional[typing.Dict] = None,
    sync: bool = True,
    import_request_timeout: typing.Optional[float] = None,
) -> google.cloud.aiplatform.datasets.dataset._Dataset

Upload data to existing managed dataset.

See more: google.cloud.aiplatform.VideoDataset.import_data

google.cloud.aiplatform.VideoDataset.list

list(
    filter: typing.Optional[str] = None,
    order_by: typing.Optional[str] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
) -> typing.List[google.cloud.aiplatform.base.VertexAiResourceNoun]

List all instances of this Dataset resource.

See more: google.cloud.aiplatform.VideoDataset.list

google.cloud.aiplatform.VideoDataset.to_dict

to_dict() -> typing.Dict[str, typing.Any]

Returns the resource proto as a dictionary.

See more: google.cloud.aiplatform.VideoDataset.to_dict

google.cloud.aiplatform.VideoDataset.update

update(
    *,
    display_name: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    description: typing.Optional[str] = None,
    update_request_timeout: typing.Optional[float] = None
) -> google.cloud.aiplatform.datasets.dataset._Dataset

Update the dataset.

See more: google.cloud.aiplatform.VideoDataset.update

google.cloud.aiplatform.VideoDataset.wait

wait()

Helper method that blocks until all futures are complete.

See more: google.cloud.aiplatform.VideoDataset.wait

google.cloud.aiplatform.metadata.schema.google.artifact_schema.ExperimentModel

ExperimentModel(
    *,
    framework_name: str,
    framework_version: str,
    model_file: str,
    uri: str,
    model_class: typing.Optional[str] = None,
    predict_schemata: typing.Optional[
        google.cloud.aiplatform.metadata.schema.utils.PredictSchemata
    ] = None,
    artifact_id: typing.Optional[str] = None,
    display_name: typing.Optional[str] = None,
    schema_version: typing.Optional[str] = None,
    description: typing.Optional[str] = None,
    metadata: typing.Optional[typing.Dict] = None,
    state: typing.Optional[
        google.cloud.aiplatform_v1.types.artifact.Artifact.State
    ] = State.LIVE
)

Instantiates an ExperimentModel that represents a saved ML model.

See more: google.cloud.aiplatform.metadata.schema.google.artifact_schema.ExperimentModel

google.cloud.aiplatform.metadata.schema.google.artifact_schema.ExperimentModel.get

get(
    artifact_id: str,
    *,
    metadata_store_id: str = "default",
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None
) -> google.cloud.aiplatform.metadata.schema.google.artifact_schema.ExperimentModel

Retrieves an existing ExperimentModel artifact given an artifact id.

See more: google.cloud.aiplatform.metadata.schema.google.artifact_schema.ExperimentModel.get

google.cloud.aiplatform.metadata.schema.google.artifact_schema.ExperimentModel.get_model_info

get_model_info() -> typing.Dict[str, typing.Any]

Get the model's info from an experiment model artifact.

See more: google.cloud.aiplatform.metadata.schema.google.artifact_schema.ExperimentModel.get_model_info

google.cloud.aiplatform.metadata.schema.google.artifact_schema.ExperimentModel.load_model

load_model() -> typing.Union[sklearn.base.BaseEstimator, xgb.Booster, tf.Module]

Retrieves the original ML model from an ExperimentModel.

See more: google.cloud.aiplatform.metadata.schema.google.artifact_schema.ExperimentModel.load_model

google.cloud.aiplatform.metadata.schema.google.artifact_schema.ExperimentModel.register_model

register_model(
    *,
    model_id: typing.Optional[str] = None,
    parent_model: typing.Optional[str] = None,
    use_gpu: bool = False,
    is_default_version: bool = True,
    version_aliases: typing.Optional[typing.Sequence[str]] = None,
    version_description: typing.Optional[str] = None,
    display_name: typing.Optional[str] = None,
    description: typing.Optional[str] = None,
    labels: typing.Optional[typing.Dict[str, str]] = None,
    serving_container_image_uri: typing.Optional[str] = None,
    serving_container_predict_route: typing.Optional[str] = None,
    serving_container_health_route: typing.Optional[str] = None,
    serving_container_command: typing.Optional[typing.Sequence[str]] = None,
    serving_container_args: typing.Optional[typing.Sequence[str]] = None,
    serving_container_environment_variables: typing.Optional[
        typing.Dict[str, str]
    ] = None,
    serving_container_ports: typing.Optional[typing.Sequence[int]] = None,
    instance_schema_uri: typing.Optional[str] = None,
    parameters_schema_uri: typing.Optional[str] = None,
    prediction_schema_uri: typing.Optional[str] = None,
    explanation_metadata: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation_metadata.ExplanationMetadata
    ] = None,
    explanation_parameters: typing.Optional[
        google.cloud.aiplatform_v1.types.explanation.ExplanationParameters
    ] = None,
    project: typing.Optional[str] = None,
    location: typing.Optional[str] = None,
    credentials: typing.Optional[google.auth.credentials.Credentials] = None,
    encryption_spec_key_name: typing.Optional[str] = None,
    staging_bucket: typing.Optional[str] = None,
    sync: typing.Optional[bool] = True,
    upload_request_timeout: typing.Optional[float] = None
) -> google.cloud.aiplatform.models.Model

Register an ExperimentModel to Model Registry and returns a Model representing the registered Model resource.

See more: google.cloud.aiplatform.metadata.schema.google.artifact_schema.ExperimentModel.register_model

google.cloud.aiplatform.prediction.DefaultSerializer.deserialize

deserialize(data: typing.Any, content_type: typing.Optional[str]) -> typing.Any

Deserializes the request data.

See more: google.cloud.aiplatform.prediction.DefaultSerializer.deserialize

google.cloud.aiplatform.prediction.DefaultSerializer.serialize

serialize(prediction: typing.Any, accept: typing.Optional[str]) -> typing.Any

Serializes the prediction results.

See more: google.cloud.aiplatform.prediction.DefaultSerializer.serialize

google.cloud.aiplatform.prediction.Handler

Handler(
    artifacts_uri: str,
    predictor: typing.Optional[
        typing.Type[google.cloud.aiplatform.prediction.predictor.Predictor]
    ] = None,
)

Initializes a Handler instance.

See more: google.cloud.aiplatform.prediction.Handler

google.cloud.aiplatform.prediction.Handler.handle

handle(request: starlette.requests.Request) -> starlette.responses.Response

Handles a prediction request.

See more: google.cloud.aiplatform.prediction.Handler.handle

google.cloud.aiplatform.prediction.LocalEndpoint

LocalEndpoint(
    serving_container_image_uri: str,
    artifact_uri: typing.Optional[str] = None,
    serving_container_predict_route: typing.Optional[str] = None,
    serving_container_health_route: typing.Optional[str] = None,
    serving_container_command: typing.Optional[typing.Sequence[str]] = None,
    serving_container_args: typing.Optional[typing.Sequence[str]] = None,
    serving_container_environment_variables: typing.Optional[
        typing.Dict[str, str]
    ] = None,
    serving_container_ports: typing.Optional[typing.Sequence[int]] = None,
    credential_path: typing.Optional[str] = None,
    host_port: typing.Optional[str] = None,
    gpu_count: typing.Optional[int] = None,
    gpu_device_ids: typing.Optional[typing.List[str]] = None,
    gpu_capabilities: typing.Optional[typing.List[typing.List[str]]] = None,
    container_ready_timeout: typing.Optional[int] = None,
    container_ready_check_interval: typing.Optional[int] = None,
)

Creates a local endpoint instance.

See more: google.cloud.aiplatform.prediction.LocalEndpoint

google.cloud.aiplatform.prediction.LocalEndpoint.__del__

__del__()

Stops the container when the instance is about to be destroyed.

See more: google.cloud.aiplatform.prediction.LocalEndpoint.del

google.cloud.aiplatform.prediction.LocalEndpoint.__enter__

__enter__()

Enters the runtime context related to this object.

See more: google.cloud.aiplatform.prediction.LocalEndpoint.enter

google.cloud.aiplatform.prediction.LocalEndpoint.__exit__

__exit__(exc_type, exc_value, exc_traceback)

Exits the runtime context related to this object.

See more: google.cloud.aiplatform.prediction.LocalEndpoint.exit

google.cloud.aiplatform.prediction.LocalEndpoint.get_container_status

get_container_status() -> str

Gets the container status.

See more: google.cloud.aiplatform.prediction.LocalEndpoint.get_container_status

google.cloud.aiplatform.prediction.LocalEndpoint.predict

predict(
    request: typing.Optional[typing.Any] = None,
    request_file: typing.Optional[str] = None,
    headers: typing.Optional[typing.Dict] = None,
    verbose: bool = True,
) -> requests.models.Response

Executes a prediction.

See more: google.cloud.aiplatform.prediction.LocalEndpoint.predict

google.cloud.aiplatform.prediction.LocalEndpoint.print_container_logs

print_container_logs(
    show_all: bool = False, message: typing.Optional[str] = None
) -> None

Prints container logs.

See more: google.cloud.aiplatform.prediction.LocalEndpoint.print_container_logs

google.cloud.aiplatform.prediction.LocalEndpoint.print_container_logs_if_container_is_not_running

print_container_logs_if_container_is_not_running(
    show_all: bool = False, message: typing.Optional[str] = None
) -> None

Prints container logs if the container is not in "running" status.

See more: google.cloud.aiplatform.prediction.LocalEndpoint.print_container_logs_if_container_is_not_running

google.cloud.aiplatform.prediction.LocalEndpoint.run_health_check

run_health_check(verbose: bool = True) -> requests.models.Response

Runs a health check.

See more: google.cloud.aiplatform.prediction.LocalEndpoint.run_health_check

google.cloud.aiplatform.prediction.LocalEndpoint.serve

serve()

Starts running the container and serves the traffic locally.

See more: google.cloud.aiplatform.prediction.LocalEndpoint.serve

google.cloud.aiplatform.prediction.LocalEndpoint.stop

stop() -> None

Explicitly stops the container.

See more: google.cloud.aiplatform.prediction.LocalEndpoint.stop

google.cloud.aiplatform.prediction.LocalModel

LocalModel(
    serving_container_spec: typing.Optional[
        google.cloud.aiplatform_v1.types.model.ModelContainerSpec
    ] = None,
    serving_container_image_uri: typing.Optional[str] = None,
    serving_container_predict_route: typing.Optional[str] = None,
    serving_container_health_route: typing.Optional[str] = None,
    serving_container_command: typing.Optional[typing.Sequence[str]] = None,
    serving_container_args: typing.Optional[typing.Sequence[str]] = None,
    serving_container_environment_variables: typing.Optional[
        typing.Dict[str, str]
    ] = None,
    serving_container_ports: typing.Optional[typing.Sequence[int]] = None,
    serving_container_grpc_ports: typing.Optional[typing.Sequence[int]] = None,
    serving_container_deployment_timeout: typing.Optional[int] = None,
    serving_container_shared_memory_size_mb: typing.Optional[int] = None,
    serving_container_startup_probe_exec: typing.Optional[typing.Sequence[str]] = None,
    serving_container_startup_probe_period_seconds: typing.Optional[int] = None,
    serving_container_startup_probe_timeout_seconds: typing.Optional[int] = None,
    serving_container_health_probe_exec: typing.Optional[typing.Sequence[str]] = None,
    serving_container_health_probe_period_seconds: typing.Optional[int] = None,
    serving_container_health_probe_timeout_seconds: typing.Optional[int] = None,
)

Creates a local model instance.

See more: google.cloud.aiplatform.prediction.LocalModel

google.cloud.aiplatform.prediction.LocalModel.build_cpr_model

build_cpr_model(src_dir: str, output_image_uri: str, predictor: typing.Optional[typing.Type[google.cloud.aiplatform.prediction.predictor.Predictor]] = None, handler: typing.Type[google.cloud.aiplatform.prediction.handler.Handler] = 

Builds a local model from a custom predictor.

See more: google.cloud.aiplatform.prediction.LocalModel.build_cpr_model

google.cloud.aiplatform.prediction.LocalModel.copy_image

copy_image(
    dst_image_uri: str,
) -> google.cloud.aiplatform.prediction.local_model.LocalModel

Copies the image to another image uri.

See more: google.cloud.aiplatform.prediction.LocalModel.copy_image

google.cloud.aiplatform.prediction.LocalModel.deploy_to_local_endpoint

deploy_to_local_endpoint(
    artifact_uri: typing.Optional[str] = None,
    credential_path: typing.Optional[str] = None,
    host_port: typing.Optional[str] = None,
    gpu_count: typing.Optional[int] = None,
    gpu_device_ids: typing.Optional[typing.List[str]] = None,
    gpu_capabilities: typing.Optional[typing.List[typing.List[str]]] = None,
    container_ready_timeout: typing.Optional[int] = None,
    container_ready_check_interval: typing.Optional[int] = None,
) -> google.cloud.aiplatform.prediction.local_endpoint.LocalEndpoint

Deploys the local model instance to a local endpoint.

See more: google.cloud.aiplatform.prediction.LocalModel.deploy_to_local_endpoint

google.cloud.aiplatform.prediction.LocalModel.get_serving_container_spec

get_serving_container_spec() -> (
    google.cloud.aiplatform_v1.types.model.ModelContainerSpec
)

Returns the container spec for the image.

See more: google.cloud.aiplatform.prediction.LocalModel.get_serving_container_spec

google.cloud.aiplatform.prediction.LocalModel.pull_image_if_not_exists

pull_image_if_not_exists()

Pulls the image if the image does not exist locally.

See more: google.cloud.aiplatform.prediction.LocalModel.pull_image_if_not_exists

google.cloud.aiplatform.prediction.LocalModel.push_image

push_image() -> None

Pushes the image to a registry.

See more: google.cloud.aiplatform.prediction.LocalModel.push_image

google.cloud.aiplatform.prediction.PredictionHandler

PredictionHandler(
    artifacts_uri: str,
    predictor: typing.Optional[
        typing.Type[google.cloud.aiplatform.prediction.predictor.Predictor]
    ] = None,
)

Initializes a Handler instance.

See more: google.cloud.aiplatform.prediction.PredictionHandler

google.cloud.aiplatform.prediction.PredictionHandler.handle

handle(request: starlette.requests.Request) -> starlette.responses.Response

Handles a prediction request.

See more: google.cloud.aiplatform.prediction.PredictionHandler.handle

google.cloud.aiplatform.prediction.Predictor.load

load(artifacts_uri: str) -> None

Loads the model artifact.

See more: google.cloud.aiplatform.prediction.Predictor.load

google.cloud.aiplatform.prediction.Predictor.postprocess

postprocess(prediction_results: typing.Any) -> typing.Any

Postprocesses the prediction results.

See more: google.cloud.aiplatform.prediction.Predictor.postprocess

google.cloud.aiplatform.prediction.Predictor.predict

predict(instances: typing.Any) -> typing.Any

Performs prediction.

See more: google.cloud.aiplatform.prediction.Predictor.predict

google.cloud.aiplatform.prediction.Predictor.preprocess

preprocess(prediction_input: typing.Any) -> typing.Any

Preprocesses the prediction input before doing the prediction.

See more: google.cloud.aiplatform.prediction.Predictor.preprocess

google.cloud.aiplatform.prediction.Serializer.deserialize

deserialize(data: typing.Any, content_type: typing.Optional[str]) -> typing.Any

Deserializes the request data.

See more: google.cloud.aiplatform.prediction.Serializer.deserialize

google.cloud.aiplatform.prediction.Serializer.serialize

serialize(prediction: typing.Any, accept: typing.Optional[str]) -> typing.Any

Serializes the prediction results.

See more: google.cloud.aiplatform.prediction.Serializer.serialize

google.cloud.aiplatform.v1.schema.predict.instance_v1.types.ImageClassificationPredictionInstance

ImageClassificationPredictionInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction input format for Image Classification.

See more: google.cloud.aiplatform.v1.schema.predict.instance_v1.types.ImageClassificationPredictionInstance

google.cloud.aiplatform.v1.schema.predict.instance_v1.types.ImageObjectDetectionPredictionInstance

ImageObjectDetectionPredictionInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction input format for Image Object Detection.

See more: google.cloud.aiplatform.v1.schema.predict.instance_v1.types.ImageObjectDetectionPredictionInstance

google.cloud.aiplatform.v1.schema.predict.instance_v1.types.ImageSegmentationPredictionInstance

ImageSegmentationPredictionInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction input format for Image Segmentation.

See more: google.cloud.aiplatform.v1.schema.predict.instance_v1.types.ImageSegmentationPredictionInstance

google.cloud.aiplatform.v1.schema.predict.instance_v1.types.TextClassificationPredictionInstance

TextClassificationPredictionInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction input format for Text Classification.

See more: google.cloud.aiplatform.v1.schema.predict.instance_v1.types.TextClassificationPredictionInstance

google.cloud.aiplatform.v1.schema.predict.instance_v1.types.TextExtractionPredictionInstance

TextExtractionPredictionInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction input format for Text Extraction.

See more: google.cloud.aiplatform.v1.schema.predict.instance_v1.types.TextExtractionPredictionInstance

google.cloud.aiplatform.v1.schema.predict.instance_v1.types.TextSentimentPredictionInstance

TextSentimentPredictionInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction input format for Text Sentiment.

See more: google.cloud.aiplatform.v1.schema.predict.instance_v1.types.TextSentimentPredictionInstance

google.cloud.aiplatform.v1.schema.predict.instance_v1.types.VideoActionRecognitionPredictionInstance

VideoActionRecognitionPredictionInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction input format for Video Action Recognition.

See more: google.cloud.aiplatform.v1.schema.predict.instance_v1.types.VideoActionRecognitionPredictionInstance

google.cloud.aiplatform.v1.schema.predict.instance_v1.types.VideoClassificationPredictionInstance

VideoClassificationPredictionInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction input format for Video Classification.

See more: google.cloud.aiplatform.v1.schema.predict.instance_v1.types.VideoClassificationPredictionInstance

google.cloud.aiplatform.v1.schema.predict.instance_v1.types.VideoObjectTrackingPredictionInstance

VideoObjectTrackingPredictionInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction input format for Video Object Tracking.

See more: google.cloud.aiplatform.v1.schema.predict.instance_v1.types.VideoObjectTrackingPredictionInstance

google.cloud.aiplatform.v1.schema.predict.params_v1.types.ImageClassificationPredictionParams

ImageClassificationPredictionParams(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction model parameters for Image Classification.

See more: google.cloud.aiplatform.v1.schema.predict.params_v1.types.ImageClassificationPredictionParams

google.cloud.aiplatform.v1.schema.predict.params_v1.types.ImageObjectDetectionPredictionParams

ImageObjectDetectionPredictionParams(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction model parameters for Image Object Detection.

See more: google.cloud.aiplatform.v1.schema.predict.params_v1.types.ImageObjectDetectionPredictionParams

google.cloud.aiplatform.v1.schema.predict.params_v1.types.ImageSegmentationPredictionParams

ImageSegmentationPredictionParams(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction model parameters for Image Segmentation.

See more: google.cloud.aiplatform.v1.schema.predict.params_v1.types.ImageSegmentationPredictionParams

google.cloud.aiplatform.v1.schema.predict.params_v1.types.VideoActionRecognitionPredictionParams

VideoActionRecognitionPredictionParams(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction model parameters for Video Action Recognition.

See more: google.cloud.aiplatform.v1.schema.predict.params_v1.types.VideoActionRecognitionPredictionParams

google.cloud.aiplatform.v1.schema.predict.params_v1.types.VideoClassificationPredictionParams

VideoClassificationPredictionParams(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction model parameters for Video Classification.

See more: google.cloud.aiplatform.v1.schema.predict.params_v1.types.VideoClassificationPredictionParams

google.cloud.aiplatform.v1.schema.predict.params_v1.types.VideoObjectTrackingPredictionParams

VideoObjectTrackingPredictionParams(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction model parameters for Video Object Tracking.

See more: google.cloud.aiplatform.v1.schema.predict.params_v1.types.VideoObjectTrackingPredictionParams

google.cloud.aiplatform.v1.schema.predict.prediction_v1.types.ClassificationPredictionResult

ClassificationPredictionResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction output format for Image and Text Classification.

See more: google.cloud.aiplatform.v1.schema.predict.prediction_v1.types.ClassificationPredictionResult

google.cloud.aiplatform.v1.schema.predict.prediction_v1.types.ImageObjectDetectionPredictionResult

ImageObjectDetectionPredictionResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction output format for Image Object Detection.

See more: google.cloud.aiplatform.v1.schema.predict.prediction_v1.types.ImageObjectDetectionPredictionResult

google.cloud.aiplatform.v1.schema.predict.prediction_v1.types.ImageSegmentationPredictionResult

ImageSegmentationPredictionResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction output format for Image Segmentation.

See more: google.cloud.aiplatform.v1.schema.predict.prediction_v1.types.ImageSegmentationPredictionResult

google.cloud.aiplatform.v1.schema.predict.prediction_v1.types.TabularClassificationPredictionResult

TabularClassificationPredictionResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction output format for Tabular Classification.

See more: google.cloud.aiplatform.v1.schema.predict.prediction_v1.types.TabularClassificationPredictionResult

google.cloud.aiplatform.v1.schema.predict.prediction_v1.types.TabularRegressionPredictionResult

TabularRegressionPredictionResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction output format for Tabular Regression.

See more: google.cloud.aiplatform.v1.schema.predict.prediction_v1.types.TabularRegressionPredictionResult

google.cloud.aiplatform.v1.schema.predict.prediction_v1.types.TextExtractionPredictionResult

TextExtractionPredictionResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction output format for Text Extraction.

See more: google.cloud.aiplatform.v1.schema.predict.prediction_v1.types.TextExtractionPredictionResult

google.cloud.aiplatform.v1.schema.predict.prediction_v1.types.TextSentimentPredictionResult

TextSentimentPredictionResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction output format for Text Sentiment .

See more: google.cloud.aiplatform.v1.schema.predict.prediction_v1.types.TextSentimentPredictionResult

google.cloud.aiplatform.v1.schema.predict.prediction_v1.types.VideoActionRecognitionPredictionResult

VideoActionRecognitionPredictionResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction output format for Video Action Recognition.

See more: google.cloud.aiplatform.v1.schema.predict.prediction_v1.types.VideoActionRecognitionPredictionResult

google.cloud.aiplatform.v1.schema.predict.prediction_v1.types.VideoClassificationPredictionResult

VideoClassificationPredictionResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction output format for Video Classification.

See more: google.cloud.aiplatform.v1.schema.predict.prediction_v1.types.VideoClassificationPredictionResult

google.cloud.aiplatform.v1.schema.predict.prediction_v1.types.VideoObjectTrackingPredictionResult

VideoObjectTrackingPredictionResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction output format for Video Object Tracking.

See more: google.cloud.aiplatform.v1.schema.predict.prediction_v1.types.VideoObjectTrackingPredictionResult

google.cloud.aiplatform.v1.schema.predict.prediction_v1.types.VideoObjectTrackingPredictionResult.Frame

Frame(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The fields xMin, xMax, yMin, and yMax refer to a bounding box, i.e.

See more: google.cloud.aiplatform.v1.schema.predict.prediction_v1.types.VideoObjectTrackingPredictionResult.Frame

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageClassification

AutoMlImageClassification(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A TrainingJob that trains and uploads an AutoML Image Classification Model.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageClassification

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageClassificationInputs

AutoMlImageClassificationInputs(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageClassificationInputs

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageClassificationInputs.ModelType

ModelType(value)

Values: MODEL_TYPE_UNSPECIFIED (0): Should not be set.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageClassificationInputs.ModelType

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageClassificationMetadata

AutoMlImageClassificationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageClassificationMetadata

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageClassificationMetadata.SuccessfulStopReason

SuccessfulStopReason(value)

Values: SUCCESSFUL_STOP_REASON_UNSPECIFIED (0): Should not be set.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageClassificationMetadata.SuccessfulStopReason

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageObjectDetection

AutoMlImageObjectDetection(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A TrainingJob that trains and uploads an AutoML Image Object Detection Model.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageObjectDetection

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageObjectDetectionInputs

AutoMlImageObjectDetectionInputs(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageObjectDetectionInputs

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageObjectDetectionInputs.ModelType

ModelType(value)

Values: MODEL_TYPE_UNSPECIFIED (0): Should not be set.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageObjectDetectionInputs.ModelType

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageObjectDetectionMetadata

AutoMlImageObjectDetectionMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageObjectDetectionMetadata

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageObjectDetectionMetadata.SuccessfulStopReason

SuccessfulStopReason(value)

Values: SUCCESSFUL_STOP_REASON_UNSPECIFIED (0): Should not be set.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageObjectDetectionMetadata.SuccessfulStopReason

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageSegmentation

AutoMlImageSegmentation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A TrainingJob that trains and uploads an AutoML Image Segmentation Model.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageSegmentation

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageSegmentationInputs

AutoMlImageSegmentationInputs(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageSegmentationInputs

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageSegmentationInputs.ModelType

ModelType(value)

Values: MODEL_TYPE_UNSPECIFIED (0): Should not be set.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageSegmentationInputs.ModelType

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageSegmentationMetadata

AutoMlImageSegmentationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageSegmentationMetadata

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageSegmentationMetadata.SuccessfulStopReason

SuccessfulStopReason(value)

Values: SUCCESSFUL_STOP_REASON_UNSPECIFIED (0): Should not be set.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlImageSegmentationMetadata.SuccessfulStopReason

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTables

AutoMlTables(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A TrainingJob that trains and uploads an AutoML Tables Model.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTables

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs

AutoMlTablesInputs(mapping=None, *, ignore_unknown_fields=False, **kwargs)

This message has oneof_ fields (mutually exclusive fields).

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation

Transformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

This message has oneof_ fields (mutually exclusive fields).

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation.AutoTransformation

AutoTransformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Training pipeline will infer the proper transformation based on the statistic of dataset.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation.AutoTransformation

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation

CategoricalArrayTransformation(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Treats the column as categorical array and performs following transformation functions.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation.CategoricalTransformation

CategoricalTransformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Training pipeline will perform following transformation functions.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation.CategoricalTransformation

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation.NumericArrayTransformation

NumericArrayTransformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Treats the column as numerical array and performs following transformation functions.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation.NumericArrayTransformation

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation.NumericTransformation

NumericTransformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Training pipeline will perform following transformation functions.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation.NumericTransformation

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation.TextArrayTransformation

TextArrayTransformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Treats the column as text array and performs following transformation functions.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation.TextArrayTransformation

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation.TextTransformation

TextTransformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Training pipeline will perform following transformation functions.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation.TextTransformation

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation.TimestampTransformation

TimestampTransformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Training pipeline will perform following transformation functions.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesInputs.Transformation.TimestampTransformation

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesMetadata

AutoMlTablesMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Model metadata specific to AutoML Tables.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTablesMetadata

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTextClassification

AutoMlTextClassification(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A TrainingJob that trains and uploads an AutoML Text Classification Model.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTextClassification

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTextClassificationInputs

AutoMlTextClassificationInputs(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTextClassificationInputs

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTextExtraction

AutoMlTextExtraction(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A TrainingJob that trains and uploads an AutoML Text Extraction Model.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTextExtraction

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTextSentiment

AutoMlTextSentiment(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A TrainingJob that trains and uploads an AutoML Text Sentiment Model.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTextSentiment

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTextSentimentInputs

AutoMlTextSentimentInputs(mapping=None, *, ignore_unknown_fields=False, **kwargs)

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlTextSentimentInputs

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlVideoActionRecognition

AutoMlVideoActionRecognition(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

A TrainingJob that trains and uploads an AutoML Video Action Recognition Model.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlVideoActionRecognition

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlVideoActionRecognitionInputs

AutoMlVideoActionRecognitionInputs(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlVideoActionRecognitionInputs

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlVideoActionRecognitionInputs.ModelType

ModelType(value)

Values: MODEL_TYPE_UNSPECIFIED (0): Should not be set.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlVideoActionRecognitionInputs.ModelType

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlVideoClassification

AutoMlVideoClassification(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A TrainingJob that trains and uploads an AutoML Video Classification Model.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlVideoClassification

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlVideoClassificationInputs

AutoMlVideoClassificationInputs(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlVideoClassificationInputs

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlVideoClassificationInputs.ModelType

ModelType(value)

Values: MODEL_TYPE_UNSPECIFIED (0): Should not be set.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlVideoClassificationInputs.ModelType

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlVideoObjectTracking

AutoMlVideoObjectTracking(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A TrainingJob that trains and uploads an AutoML Video ObjectTracking Model.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlVideoObjectTracking

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlVideoObjectTrackingInputs

AutoMlVideoObjectTrackingInputs(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlVideoObjectTrackingInputs

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlVideoObjectTrackingInputs.ModelType

ModelType(value)

Values: MODEL_TYPE_UNSPECIFIED (0): Should not be set.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.AutoMlVideoObjectTrackingInputs.ModelType

google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.ExportEvaluatedDataItemsConfig

ExportEvaluatedDataItemsConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Configuration for exporting test set predictions to a BigQuery table.

See more: google.cloud.aiplatform.v1.schema.trainingjob.definition_v1.types.ExportEvaluatedDataItemsConfig

google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.ImageClassificationPredictionInstance

ImageClassificationPredictionInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction input format for Image Classification.

See more: google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.ImageClassificationPredictionInstance

google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.ImageObjectDetectionPredictionInstance

ImageObjectDetectionPredictionInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction input format for Image Object Detection.

See more: google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.ImageObjectDetectionPredictionInstance

google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.ImageSegmentationPredictionInstance

ImageSegmentationPredictionInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction input format for Image Segmentation.

See more: google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.ImageSegmentationPredictionInstance

google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.TextClassificationPredictionInstance

TextClassificationPredictionInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction input format for Text Classification.

See more: google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.TextClassificationPredictionInstance

google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.TextExtractionPredictionInstance

TextExtractionPredictionInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction input format for Text Extraction.

See more: google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.TextExtractionPredictionInstance

google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.TextSentimentPredictionInstance

TextSentimentPredictionInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction input format for Text Sentiment.

See more: google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.TextSentimentPredictionInstance

google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.VideoActionRecognitionPredictionInstance

VideoActionRecognitionPredictionInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction input format for Video Action Recognition.

See more: google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.VideoActionRecognitionPredictionInstance

google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.VideoClassificationPredictionInstance

VideoClassificationPredictionInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction input format for Video Classification.

See more: google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.VideoClassificationPredictionInstance

google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.VideoObjectTrackingPredictionInstance

VideoObjectTrackingPredictionInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction input format for Video Object Tracking.

See more: google.cloud.aiplatform.v1beta1.schema.predict.instance_v1beta1.types.VideoObjectTrackingPredictionInstance

google.cloud.aiplatform.v1beta1.schema.predict.params_v1beta1.types.ImageClassificationPredictionParams

ImageClassificationPredictionParams(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction model parameters for Image Classification.

See more: google.cloud.aiplatform.v1beta1.schema.predict.params_v1beta1.types.ImageClassificationPredictionParams

google.cloud.aiplatform.v1beta1.schema.predict.params_v1beta1.types.ImageObjectDetectionPredictionParams

ImageObjectDetectionPredictionParams(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction model parameters for Image Object Detection.

See more: google.cloud.aiplatform.v1beta1.schema.predict.params_v1beta1.types.ImageObjectDetectionPredictionParams

google.cloud.aiplatform.v1beta1.schema.predict.params_v1beta1.types.ImageSegmentationPredictionParams

ImageSegmentationPredictionParams(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction model parameters for Image Segmentation.

See more: google.cloud.aiplatform.v1beta1.schema.predict.params_v1beta1.types.ImageSegmentationPredictionParams

google.cloud.aiplatform.v1beta1.schema.predict.params_v1beta1.types.VideoActionRecognitionPredictionParams

VideoActionRecognitionPredictionParams(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction model parameters for Video Action Recognition.

See more: google.cloud.aiplatform.v1beta1.schema.predict.params_v1beta1.types.VideoActionRecognitionPredictionParams

google.cloud.aiplatform.v1beta1.schema.predict.params_v1beta1.types.VideoClassificationPredictionParams

VideoClassificationPredictionParams(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction model parameters for Video Classification.

See more: google.cloud.aiplatform.v1beta1.schema.predict.params_v1beta1.types.VideoClassificationPredictionParams

google.cloud.aiplatform.v1beta1.schema.predict.params_v1beta1.types.VideoObjectTrackingPredictionParams

VideoObjectTrackingPredictionParams(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction model parameters for Video Object Tracking.

See more: google.cloud.aiplatform.v1beta1.schema.predict.params_v1beta1.types.VideoObjectTrackingPredictionParams

google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.ClassificationPredictionResult

ClassificationPredictionResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction output format for Image and Text Classification.

See more: google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.ClassificationPredictionResult

google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.ImageObjectDetectionPredictionResult

ImageObjectDetectionPredictionResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction output format for Image Object Detection.

See more: google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.ImageObjectDetectionPredictionResult

google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.ImageSegmentationPredictionResult

ImageSegmentationPredictionResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction output format for Image Segmentation.

See more: google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.ImageSegmentationPredictionResult

google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.TabularClassificationPredictionResult

TabularClassificationPredictionResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction output format for Tabular Classification.

See more: google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.TabularClassificationPredictionResult

google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.TabularRegressionPredictionResult

TabularRegressionPredictionResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction output format for Tabular Regression.

See more: google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.TabularRegressionPredictionResult

google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.TextExtractionPredictionResult

TextExtractionPredictionResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction output format for Text Extraction.

See more: google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.TextExtractionPredictionResult

google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.TextSentimentPredictionResult

TextSentimentPredictionResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction output format for Text Sentiment .

See more: google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.TextSentimentPredictionResult

google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.TimeSeriesForecastingPredictionResult

TimeSeriesForecastingPredictionResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction output format for Time Series Forecasting.

See more: google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.TimeSeriesForecastingPredictionResult

google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.VideoActionRecognitionPredictionResult

VideoActionRecognitionPredictionResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction output format for Video Action Recognition.

See more: google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.VideoActionRecognitionPredictionResult

google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.VideoClassificationPredictionResult

VideoClassificationPredictionResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction output format for Video Classification.

See more: google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.VideoClassificationPredictionResult

google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.VideoObjectTrackingPredictionResult

VideoObjectTrackingPredictionResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction output format for Video Object Tracking.

See more: google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.VideoObjectTrackingPredictionResult

google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.VideoObjectTrackingPredictionResult.Frame

Frame(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The fields xMin, xMax, yMin, and yMax refer to a bounding box, i.e.

See more: google.cloud.aiplatform.v1beta1.schema.predict.prediction_v1beta1.types.VideoObjectTrackingPredictionResult.Frame

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecasting

AutoMlForecasting(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A TrainingJob that trains and uploads an AutoML Forecasting Model.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecasting

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs

AutoMlForecastingInputs(mapping=None, *, ignore_unknown_fields=False, **kwargs)

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs.Granularity

Granularity(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A duration of time expressed in time granularity units.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs.Granularity

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs.Transformation

Transformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

This message has oneof_ fields (mutually exclusive fields).

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs.Transformation

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs.Transformation.AutoTransformation

AutoTransformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Training pipeline will infer the proper transformation based on the statistic of dataset.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs.Transformation.AutoTransformation

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs.Transformation.CategoricalTransformation

CategoricalTransformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Training pipeline will perform following transformation functions.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs.Transformation.CategoricalTransformation

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs.Transformation.NumericTransformation

NumericTransformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Training pipeline will perform following transformation functions.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs.Transformation.NumericTransformation

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs.Transformation.TextTransformation

TextTransformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Training pipeline will perform following transformation functions.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs.Transformation.TextTransformation

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs.Transformation.TimestampTransformation

TimestampTransformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Training pipeline will perform following transformation functions.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingInputs.Transformation.TimestampTransformation

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingMetadata

AutoMlForecastingMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Model metadata specific to AutoML Forecasting.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlForecastingMetadata

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageClassification

AutoMlImageClassification(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A TrainingJob that trains and uploads an AutoML Image Classification Model.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageClassification

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageClassificationInputs

AutoMlImageClassificationInputs(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageClassificationInputs

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageClassificationInputs.ModelType

ModelType(value)

Values: MODEL_TYPE_UNSPECIFIED (0): Should not be set.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageClassificationInputs.ModelType

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageClassificationMetadata

AutoMlImageClassificationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageClassificationMetadata

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageClassificationMetadata.SuccessfulStopReason

SuccessfulStopReason(value)

Values: SUCCESSFUL_STOP_REASON_UNSPECIFIED (0): Should not be set.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageClassificationMetadata.SuccessfulStopReason

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageObjectDetection

AutoMlImageObjectDetection(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A TrainingJob that trains and uploads an AutoML Image Object Detection Model.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageObjectDetection

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageObjectDetectionInputs

AutoMlImageObjectDetectionInputs(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageObjectDetectionInputs

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageObjectDetectionInputs.ModelType

ModelType(value)

Values: MODEL_TYPE_UNSPECIFIED (0): Should not be set.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageObjectDetectionInputs.ModelType

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageObjectDetectionMetadata

AutoMlImageObjectDetectionMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageObjectDetectionMetadata

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageObjectDetectionMetadata.SuccessfulStopReason

SuccessfulStopReason(value)

Values: SUCCESSFUL_STOP_REASON_UNSPECIFIED (0): Should not be set.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageObjectDetectionMetadata.SuccessfulStopReason

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageSegmentation

AutoMlImageSegmentation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A TrainingJob that trains and uploads an AutoML Image Segmentation Model.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageSegmentation

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageSegmentationInputs

AutoMlImageSegmentationInputs(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageSegmentationInputs

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageSegmentationInputs.ModelType

ModelType(value)

Values: MODEL_TYPE_UNSPECIFIED (0): Should not be set.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageSegmentationInputs.ModelType

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageSegmentationMetadata

AutoMlImageSegmentationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageSegmentationMetadata

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageSegmentationMetadata.SuccessfulStopReason

SuccessfulStopReason(value)

Values: SUCCESSFUL_STOP_REASON_UNSPECIFIED (0): Should not be set.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlImageSegmentationMetadata.SuccessfulStopReason

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTables

AutoMlTables(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A TrainingJob that trains and uploads an AutoML Tables Model.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTables

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs

AutoMlTablesInputs(mapping=None, *, ignore_unknown_fields=False, **kwargs)

This message has oneof_ fields (mutually exclusive fields).

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation

Transformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

This message has oneof_ fields (mutually exclusive fields).

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation.AutoTransformation

AutoTransformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Training pipeline will infer the proper transformation based on the statistic of dataset.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation.AutoTransformation

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation

CategoricalArrayTransformation(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Treats the column as categorical array and performs following transformation functions.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation.CategoricalTransformation

CategoricalTransformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Training pipeline will perform following transformation functions.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation.CategoricalTransformation

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation.NumericArrayTransformation

NumericArrayTransformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Treats the column as numerical array and performs following transformation functions.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation.NumericArrayTransformation

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation.NumericTransformation

NumericTransformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Training pipeline will perform following transformation functions.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation.NumericTransformation

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation.TextArrayTransformation

TextArrayTransformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Treats the column as text array and performs following transformation functions.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation.TextArrayTransformation

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation.TextTransformation

TextTransformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Training pipeline will perform following transformation functions.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation.TextTransformation

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation.TimestampTransformation

TimestampTransformation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Training pipeline will perform following transformation functions.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesInputs.Transformation.TimestampTransformation

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesMetadata

AutoMlTablesMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Model metadata specific to AutoML Tables.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTablesMetadata

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTextClassification

AutoMlTextClassification(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A TrainingJob that trains and uploads an AutoML Text Classification Model.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTextClassification

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTextClassificationInputs

AutoMlTextClassificationInputs(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTextClassificationInputs

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTextExtraction

AutoMlTextExtraction(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A TrainingJob that trains and uploads an AutoML Text Extraction Model.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTextExtraction

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTextSentiment

AutoMlTextSentiment(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A TrainingJob that trains and uploads an AutoML Text Sentiment Model.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTextSentiment

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTextSentimentInputs

AutoMlTextSentimentInputs(mapping=None, *, ignore_unknown_fields=False, **kwargs)

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlTextSentimentInputs

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlVideoActionRecognition

AutoMlVideoActionRecognition(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

A TrainingJob that trains and uploads an AutoML Video Action Recognition Model.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlVideoActionRecognition

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlVideoActionRecognitionInputs

AutoMlVideoActionRecognitionInputs(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlVideoActionRecognitionInputs

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlVideoActionRecognitionInputs.ModelType

ModelType(value)

Values: MODEL_TYPE_UNSPECIFIED (0): Should not be set.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlVideoActionRecognitionInputs.ModelType

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlVideoClassification

AutoMlVideoClassification(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A TrainingJob that trains and uploads an AutoML Video Classification Model.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlVideoClassification

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlVideoClassificationInputs

AutoMlVideoClassificationInputs(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlVideoClassificationInputs

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlVideoClassificationInputs.ModelType

ModelType(value)

Values: MODEL_TYPE_UNSPECIFIED (0): Should not be set.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlVideoClassificationInputs.ModelType

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlVideoObjectTracking

AutoMlVideoObjectTracking(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A TrainingJob that trains and uploads an AutoML Video ObjectTracking Model.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlVideoObjectTracking

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlVideoObjectTrackingInputs

AutoMlVideoObjectTrackingInputs(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlVideoObjectTrackingInputs

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlVideoObjectTrackingInputs.ModelType

ModelType(value)

Values: MODEL_TYPE_UNSPECIFIED (0): Should not be set.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.AutoMlVideoObjectTrackingInputs.ModelType

google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.ExportEvaluatedDataItemsConfig

ExportEvaluatedDataItemsConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Configuration for exporting test set predictions to a BigQuery table.

See more: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition_v1beta1.types.ExportEvaluatedDataItemsConfig

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient

DatasetServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.dataset_service.transports.base.DatasetServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the dataset service async client.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.annotation_path

annotation_path(
    project: str, location: str, dataset: str, data_item: str, annotation: str
) -> str

Returns a fully-qualified annotation string.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.annotation_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.annotation_spec_path

annotation_spec_path(
    project: str, location: str, dataset: str, annotation_spec: str
) -> str

Returns a fully-qualified annotation_spec string.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.annotation_spec_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.create_dataset

create_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.CreateDatasetRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    dataset: typing.Optional[google.cloud.aiplatform_v1.types.dataset.Dataset] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a Dataset.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.create_dataset

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.create_dataset_version

create_dataset_version(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.CreateDatasetVersionRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    dataset_version: typing.Optional[
        google.cloud.aiplatform_v1.types.dataset_version.DatasetVersion
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Create a version from a Dataset.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.create_dataset_version

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.data_item_path

data_item_path(project: str, location: str, dataset: str, data_item: str) -> str

Returns a fully-qualified data_item string.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.data_item_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.dataset_path

dataset_path(project: str, location: str, dataset: str) -> str

Returns a fully-qualified dataset string.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.dataset_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.dataset_version_path

dataset_version_path(
    project: str, location: str, dataset: str, dataset_version: str
) -> str

Returns a fully-qualified dataset_version string.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.dataset_version_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.delete_dataset

delete_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.DeleteDatasetRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a Dataset.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.delete_dataset

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.delete_dataset_version

delete_dataset_version(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.DeleteDatasetVersionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a Dataset version.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.delete_dataset_version

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.delete_saved_query

delete_saved_query(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.DeleteSavedQueryRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a SavedQuery.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.delete_saved_query

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.export_data

export_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.ExportDataRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    export_config: typing.Optional[
        google.cloud.aiplatform_v1.types.dataset.ExportDataConfig
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Exports data from a Dataset.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.export_data

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.get_annotation_spec

get_annotation_spec(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.GetAnnotationSpecRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.annotation_spec.AnnotationSpec

Gets an AnnotationSpec.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.get_annotation_spec

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.get_dataset

get_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.GetDatasetRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.dataset.Dataset

Gets a Dataset.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.get_dataset

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.get_dataset_version

get_dataset_version(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.GetDatasetVersionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.dataset_version.DatasetVersion

Gets a Dataset version.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.get_dataset_version

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.dataset_service.transports.base.DatasetServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.import_data

import_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.ImportDataRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    import_configs: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1.types.dataset.ImportDataConfig
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Imports data into a Dataset.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.import_data

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.list_annotations

list_annotations(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.ListAnnotationsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.dataset_service.pagers.ListAnnotationsAsyncPager
)

Lists Annotations belongs to a dataitem.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.list_annotations

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.list_data_items

list_data_items(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.ListDataItemsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.dataset_service.pagers.ListDataItemsAsyncPager

Lists DataItems in a Dataset.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.list_data_items

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.list_dataset_versions

list_dataset_versions(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.ListDatasetVersionsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.dataset_service.pagers.ListDatasetVersionsAsyncPager
)

Lists DatasetVersions in a Dataset.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.list_dataset_versions

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.list_datasets

list_datasets(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.ListDatasetsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.dataset_service.pagers.ListDatasetsAsyncPager

Lists Datasets in a Location.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.list_datasets

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.list_saved_queries

list_saved_queries(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.ListSavedQueriesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.dataset_service.pagers.ListSavedQueriesAsyncPager
)

Lists SavedQueries in a Dataset.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.list_saved_queries

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.parse_annotation_path

parse_annotation_path(path: str) -> typing.Dict[str, str]

Parses a annotation path into its component segments.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.parse_annotation_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.parse_annotation_spec_path

parse_annotation_spec_path(path: str) -> typing.Dict[str, str]

Parses a annotation_spec path into its component segments.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.parse_annotation_spec_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.parse_data_item_path

parse_data_item_path(path: str) -> typing.Dict[str, str]

Parses a data_item path into its component segments.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.parse_data_item_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.parse_dataset_path

parse_dataset_path(path: str) -> typing.Dict[str, str]

Parses a dataset path into its component segments.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.parse_dataset_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.parse_dataset_version_path

parse_dataset_version_path(path: str) -> typing.Dict[str, str]

Parses a dataset_version path into its component segments.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.parse_dataset_version_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.parse_saved_query_path

parse_saved_query_path(path: str) -> typing.Dict[str, str]

Parses a saved_query path into its component segments.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.parse_saved_query_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.restore_dataset_version

restore_dataset_version(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.RestoreDatasetVersionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Restores a dataset version.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.restore_dataset_version

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.saved_query_path

saved_query_path(
    project: str, location: str, dataset: str, saved_query: str
) -> str

Returns a fully-qualified saved_query string.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.saved_query_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.search_data_items

search_data_items(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.SearchDataItemsRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.dataset_service.pagers.SearchDataItemsAsyncPager
)

Searches DataItems in a Dataset.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.search_data_items

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.update_dataset

update_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.UpdateDatasetRequest, dict
        ]
    ] = None,
    *,
    dataset: typing.Optional[google.cloud.aiplatform_v1.types.dataset.Dataset] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.dataset.Dataset

Updates a Dataset.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.update_dataset

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient

DatasetServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.dataset_service.transports.base.DatasetServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the dataset service client.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.exit

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.annotation_path

annotation_path(
    project: str, location: str, dataset: str, data_item: str, annotation: str
) -> str

Returns a fully-qualified annotation string.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.annotation_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.annotation_spec_path

annotation_spec_path(
    project: str, location: str, dataset: str, annotation_spec: str
) -> str

Returns a fully-qualified annotation_spec string.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.annotation_spec_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.common_location_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.common_project_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.create_dataset

create_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.CreateDatasetRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    dataset: typing.Optional[google.cloud.aiplatform_v1.types.dataset.Dataset] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a Dataset.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.create_dataset

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.create_dataset_version

create_dataset_version(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.CreateDatasetVersionRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    dataset_version: typing.Optional[
        google.cloud.aiplatform_v1.types.dataset_version.DatasetVersion
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Create a version from a Dataset.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.create_dataset_version

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.data_item_path

data_item_path(project: str, location: str, dataset: str, data_item: str) -> str

Returns a fully-qualified data_item string.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.data_item_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.dataset_path

dataset_path(project: str, location: str, dataset: str) -> str

Returns a fully-qualified dataset string.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.dataset_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.dataset_version_path

dataset_version_path(
    project: str, location: str, dataset: str, dataset_version: str
) -> str

Returns a fully-qualified dataset_version string.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.dataset_version_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.delete_dataset

delete_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.DeleteDatasetRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a Dataset.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.delete_dataset

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.delete_dataset_version

delete_dataset_version(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.DeleteDatasetVersionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a Dataset version.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.delete_dataset_version

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.delete_operation

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.delete_saved_query

delete_saved_query(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.DeleteSavedQueryRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a SavedQuery.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.delete_saved_query

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.export_data

export_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.ExportDataRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    export_config: typing.Optional[
        google.cloud.aiplatform_v1.types.dataset.ExportDataConfig
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Exports data from a Dataset.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.export_data

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.get_annotation_spec

get_annotation_spec(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.GetAnnotationSpecRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.annotation_spec.AnnotationSpec

Gets an AnnotationSpec.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.get_annotation_spec

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.get_dataset

get_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.GetDatasetRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.dataset.Dataset

Gets a Dataset.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.get_dataset

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.get_dataset_version

get_dataset_version(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.GetDatasetVersionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.dataset_version.DatasetVersion

Gets a Dataset version.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.get_dataset_version

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.get_location

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.get_operation

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.import_data

import_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.ImportDataRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    import_configs: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1.types.dataset.ImportDataConfig
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Imports data into a Dataset.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.import_data

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.list_annotations

list_annotations(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.ListAnnotationsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.dataset_service.pagers.ListAnnotationsPager

Lists Annotations belongs to a dataitem.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.list_annotations

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.list_data_items

list_data_items(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.ListDataItemsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.dataset_service.pagers.ListDataItemsPager

Lists DataItems in a Dataset.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.list_data_items

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.list_dataset_versions

list_dataset_versions(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.ListDatasetVersionsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.dataset_service.pagers.ListDatasetVersionsPager
)

Lists DatasetVersions in a Dataset.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.list_dataset_versions

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.list_datasets

list_datasets(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.ListDatasetsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.dataset_service.pagers.ListDatasetsPager

Lists Datasets in a Location.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.list_datasets

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.list_locations

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.list_operations

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.list_saved_queries

list_saved_queries(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.ListSavedQueriesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.dataset_service.pagers.ListSavedQueriesPager

Lists SavedQueries in a Dataset.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.list_saved_queries

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.parse_annotation_path

parse_annotation_path(path: str) -> typing.Dict[str, str]

Parses a annotation path into its component segments.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.parse_annotation_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.parse_annotation_spec_path

parse_annotation_spec_path(path: str) -> typing.Dict[str, str]

Parses a annotation_spec path into its component segments.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.parse_annotation_spec_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.parse_data_item_path

parse_data_item_path(path: str) -> typing.Dict[str, str]

Parses a data_item path into its component segments.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.parse_data_item_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.parse_dataset_path

parse_dataset_path(path: str) -> typing.Dict[str, str]

Parses a dataset path into its component segments.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.parse_dataset_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.parse_dataset_version_path

parse_dataset_version_path(path: str) -> typing.Dict[str, str]

Parses a dataset_version path into its component segments.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.parse_dataset_version_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.parse_saved_query_path

parse_saved_query_path(path: str) -> typing.Dict[str, str]

Parses a saved_query path into its component segments.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.parse_saved_query_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.restore_dataset_version

restore_dataset_version(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.RestoreDatasetVersionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Restores a dataset version.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.restore_dataset_version

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.saved_query_path

saved_query_path(
    project: str, location: str, dataset: str, saved_query: str
) -> str

Returns a fully-qualified saved_query string.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.saved_query_path

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.search_data_items

search_data_items(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.SearchDataItemsRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.dataset_service.pagers.SearchDataItemsPager

Searches DataItems in a Dataset.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.search_data_items

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.update_dataset

update_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.dataset_service.UpdateDatasetRequest, dict
        ]
    ] = None,
    *,
    dataset: typing.Optional[google.cloud.aiplatform_v1.types.dataset.Dataset] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.dataset.Dataset

Updates a Dataset.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.update_dataset

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.wait_operation

google.cloud.aiplatform_v1.services.dataset_service.pagers.ListAnnotationsAsyncPager

ListAnnotationsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.dataset_service.ListAnnotationsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.dataset_service.ListAnnotationsRequest,
    response: google.cloud.aiplatform_v1.types.dataset_service.ListAnnotationsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.dataset_service.pagers.ListAnnotationsAsyncPager

google.cloud.aiplatform_v1.services.dataset_service.pagers.ListAnnotationsPager

ListAnnotationsPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1.types.dataset_service.ListAnnotationsResponse
    ],
    request: google.cloud.aiplatform_v1.types.dataset_service.ListAnnotationsRequest,
    response: google.cloud.aiplatform_v1.types.dataset_service.ListAnnotationsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.dataset_service.pagers.ListAnnotationsPager

google.cloud.aiplatform_v1.services.dataset_service.pagers.ListDataItemsAsyncPager

ListDataItemsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.dataset_service.ListDataItemsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.dataset_service.ListDataItemsRequest,
    response: google.cloud.aiplatform_v1.types.dataset_service.ListDataItemsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.dataset_service.pagers.ListDataItemsAsyncPager

google.cloud.aiplatform_v1.services.dataset_service.pagers.ListDataItemsPager

ListDataItemsPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1.types.dataset_service.ListDataItemsResponse
    ],
    request: google.cloud.aiplatform_v1.types.dataset_service.ListDataItemsRequest,
    response: google.cloud.aiplatform_v1.types.dataset_service.ListDataItemsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.dataset_service.pagers.ListDataItemsPager

google.cloud.aiplatform_v1.services.dataset_service.pagers.ListDatasetVersionsAsyncPager

ListDatasetVersionsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.dataset_service.ListDatasetVersionsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.dataset_service.ListDatasetVersionsRequest,
    response: google.cloud.aiplatform_v1.types.dataset_service.ListDatasetVersionsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.dataset_service.pagers.ListDatasetVersionsAsyncPager

google.cloud.aiplatform_v1.services.dataset_service.pagers.ListDatasetVersionsPager

ListDatasetVersionsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.dataset_service.ListDatasetVersionsResponse,
    ],
    request: google.cloud.aiplatform_v1.types.dataset_service.ListDatasetVersionsRequest,
    response: google.cloud.aiplatform_v1.types.dataset_service.ListDatasetVersionsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.dataset_service.pagers.ListDatasetVersionsPager

google.cloud.aiplatform_v1.services.dataset_service.pagers.ListDatasetsAsyncPager

ListDatasetsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.dataset_service.ListDatasetsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.dataset_service.ListDatasetsRequest,
    response: google.cloud.aiplatform_v1.types.dataset_service.ListDatasetsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.dataset_service.pagers.ListDatasetsAsyncPager

google.cloud.aiplatform_v1.services.dataset_service.pagers.ListDatasetsPager

ListDatasetsPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1.types.dataset_service.ListDatasetsResponse
    ],
    request: google.cloud.aiplatform_v1.types.dataset_service.ListDatasetsRequest,
    response: google.cloud.aiplatform_v1.types.dataset_service.ListDatasetsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.dataset_service.pagers.ListDatasetsPager

google.cloud.aiplatform_v1.services.dataset_service.pagers.ListSavedQueriesAsyncPager

ListSavedQueriesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.dataset_service.ListSavedQueriesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.dataset_service.ListSavedQueriesRequest,
    response: google.cloud.aiplatform_v1.types.dataset_service.ListSavedQueriesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.dataset_service.pagers.ListSavedQueriesAsyncPager

google.cloud.aiplatform_v1.services.dataset_service.pagers.ListSavedQueriesPager

ListSavedQueriesPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1.types.dataset_service.ListSavedQueriesResponse
    ],
    request: google.cloud.aiplatform_v1.types.dataset_service.ListSavedQueriesRequest,
    response: google.cloud.aiplatform_v1.types.dataset_service.ListSavedQueriesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.dataset_service.pagers.ListSavedQueriesPager

google.cloud.aiplatform_v1.services.dataset_service.pagers.SearchDataItemsAsyncPager

SearchDataItemsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.dataset_service.SearchDataItemsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.dataset_service.SearchDataItemsRequest,
    response: google.cloud.aiplatform_v1.types.dataset_service.SearchDataItemsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.dataset_service.pagers.SearchDataItemsAsyncPager

google.cloud.aiplatform_v1.services.dataset_service.pagers.SearchDataItemsPager

SearchDataItemsPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1.types.dataset_service.SearchDataItemsResponse
    ],
    request: google.cloud.aiplatform_v1.types.dataset_service.SearchDataItemsRequest,
    response: google.cloud.aiplatform_v1.types.dataset_service.SearchDataItemsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.dataset_service.pagers.SearchDataItemsPager

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient

DeploymentResourcePoolServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.deployment_resource_pool_service.transports.base.DeploymentResourcePoolServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the deployment resource pool service async client.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.create_deployment_resource_pool

create_deployment_resource_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.deployment_resource_pool_service.CreateDeploymentResourcePoolRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    deployment_resource_pool: typing.Optional[
        google.cloud.aiplatform_v1.types.deployment_resource_pool.DeploymentResourcePool
    ] = None,
    deployment_resource_pool_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Create a DeploymentResourcePool.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.create_deployment_resource_pool

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.delete_deployment_resource_pool

delete_deployment_resource_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Delete a DeploymentResourcePool.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.delete_deployment_resource_pool

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.deployment_resource_pool_path

deployment_resource_pool_path(
    project: str, location: str, deployment_resource_pool: str
) -> str

Returns a fully-qualified deployment_resource_pool string.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.deployment_resource_pool_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.endpoint_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.get_deployment_resource_pool

get_deployment_resource_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.deployment_resource_pool_service.GetDeploymentResourcePoolRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.deployment_resource_pool.DeploymentResourcePool

Get a DeploymentResourcePool.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.get_deployment_resource_pool

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.deployment_resource_pool_service.transports.base.DeploymentResourcePoolServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.list_deployment_resource_pools

list_deployment_resource_pools(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.deployment_resource_pool_service.ListDeploymentResourcePoolsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.deployment_resource_pool_service.pagers.ListDeploymentResourcePoolsAsyncPager
)

List DeploymentResourcePools in a location.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.list_deployment_resource_pools

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.model_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_deployment_resource_pool_path

parse_deployment_resource_pool_path(path: str) -> typing.Dict[str, str]

Parses a deployment_resource_pool path into its component segments.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_deployment_resource_pool_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_endpoint_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_model_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.query_deployed_models

query_deployed_models(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.deployment_resource_pool_service.QueryDeployedModelsRequest,
            dict,
        ]
    ] = None,
    *,
    deployment_resource_pool: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.deployment_resource_pool_service.pagers.QueryDeployedModelsAsyncPager
)

List DeployedModels that have been deployed on this DeploymentResourcePool.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.query_deployed_models

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient

DeploymentResourcePoolServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.deployment_resource_pool_service.transports.base.DeploymentResourcePoolServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the deployment resource pool service client.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.exit

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.common_location_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.common_project_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.create_deployment_resource_pool

create_deployment_resource_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.deployment_resource_pool_service.CreateDeploymentResourcePoolRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    deployment_resource_pool: typing.Optional[
        google.cloud.aiplatform_v1.types.deployment_resource_pool.DeploymentResourcePool
    ] = None,
    deployment_resource_pool_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Create a DeploymentResourcePool.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.create_deployment_resource_pool

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.delete_deployment_resource_pool

delete_deployment_resource_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Delete a DeploymentResourcePool.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.delete_deployment_resource_pool

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.delete_operation

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.deployment_resource_pool_path

deployment_resource_pool_path(
    project: str, location: str, deployment_resource_pool: str
) -> str

Returns a fully-qualified deployment_resource_pool string.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.deployment_resource_pool_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.endpoint_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.get_deployment_resource_pool

get_deployment_resource_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.deployment_resource_pool_service.GetDeploymentResourcePoolRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.deployment_resource_pool.DeploymentResourcePool

Get a DeploymentResourcePool.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.get_deployment_resource_pool

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.get_location

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.get_operation

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.list_deployment_resource_pools

list_deployment_resource_pools(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.deployment_resource_pool_service.ListDeploymentResourcePoolsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.deployment_resource_pool_service.pagers.ListDeploymentResourcePoolsPager
)

List DeploymentResourcePools in a location.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.list_deployment_resource_pools

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.list_locations

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.list_operations

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.model_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_deployment_resource_pool_path

parse_deployment_resource_pool_path(path: str) -> typing.Dict[str, str]

Parses a deployment_resource_pool path into its component segments.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_deployment_resource_pool_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_endpoint_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_model_path

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.query_deployed_models

query_deployed_models(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.deployment_resource_pool_service.QueryDeployedModelsRequest,
            dict,
        ]
    ] = None,
    *,
    deployment_resource_pool: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.deployment_resource_pool_service.pagers.QueryDeployedModelsPager
)

List DeployedModels that have been deployed on this DeploymentResourcePool.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.query_deployed_models

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.wait_operation

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.pagers.ListDeploymentResourcePoolsAsyncPager

ListDeploymentResourcePoolsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.deployment_resource_pool_service.ListDeploymentResourcePoolsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.deployment_resource_pool_service.ListDeploymentResourcePoolsRequest,
    response: google.cloud.aiplatform_v1.types.deployment_resource_pool_service.ListDeploymentResourcePoolsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.pagers.ListDeploymentResourcePoolsAsyncPager

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.pagers.ListDeploymentResourcePoolsPager

ListDeploymentResourcePoolsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.deployment_resource_pool_service.ListDeploymentResourcePoolsResponse,
    ],
    request: google.cloud.aiplatform_v1.types.deployment_resource_pool_service.ListDeploymentResourcePoolsRequest,
    response: google.cloud.aiplatform_v1.types.deployment_resource_pool_service.ListDeploymentResourcePoolsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.pagers.ListDeploymentResourcePoolsPager

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.pagers.QueryDeployedModelsAsyncPager

QueryDeployedModelsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.deployment_resource_pool_service.QueryDeployedModelsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.deployment_resource_pool_service.QueryDeployedModelsRequest,
    response: google.cloud.aiplatform_v1.types.deployment_resource_pool_service.QueryDeployedModelsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.pagers.QueryDeployedModelsAsyncPager

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.pagers.QueryDeployedModelsPager

QueryDeployedModelsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.deployment_resource_pool_service.QueryDeployedModelsResponse,
    ],
    request: google.cloud.aiplatform_v1.types.deployment_resource_pool_service.QueryDeployedModelsRequest,
    response: google.cloud.aiplatform_v1.types.deployment_resource_pool_service.QueryDeployedModelsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.deployment_resource_pool_service.pagers.QueryDeployedModelsPager

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient

EndpointServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.endpoint_service.transports.base.EndpointServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the endpoint service async client.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.create_endpoint

create_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.endpoint_service.CreateEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    endpoint: typing.Optional[
        google.cloud.aiplatform_v1.types.endpoint.Endpoint
    ] = None,
    endpoint_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates an Endpoint.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.create_endpoint

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.delete_endpoint

delete_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.endpoint_service.DeleteEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes an Endpoint.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.delete_endpoint

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.deploy_model

deploy_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.endpoint_service.DeployModelRequest, dict
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    deployed_model: typing.Optional[
        google.cloud.aiplatform_v1.types.endpoint.DeployedModel
    ] = None,
    traffic_split: typing.Optional[typing.MutableMapping[str, int]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deploys a Model into this Endpoint, creating a DeployedModel within it.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.deploy_model

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.deployment_resource_pool_path

deployment_resource_pool_path(
    project: str, location: str, deployment_resource_pool: str
) -> str

Returns a fully-qualified deployment_resource_pool string.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.deployment_resource_pool_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.endpoint_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.get_endpoint

get_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.endpoint_service.GetEndpointRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.endpoint.Endpoint

Gets an Endpoint.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.get_endpoint

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.endpoint_service.transports.base.EndpointServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.list_endpoints

list_endpoints(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.endpoint_service.ListEndpointsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.endpoint_service.pagers.ListEndpointsAsyncPager
)

Lists Endpoints in a Location.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.list_endpoints

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.model_deployment_monitoring_job_path

model_deployment_monitoring_job_path(
    project: str, location: str, model_deployment_monitoring_job: str
) -> str

Returns a fully-qualified model_deployment_monitoring_job string.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.model_deployment_monitoring_job_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.model_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.mutate_deployed_model

mutate_deployed_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.endpoint_service.MutateDeployedModelRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    deployed_model: typing.Optional[
        google.cloud.aiplatform_v1.types.endpoint.DeployedModel
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates an existing deployed model.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.mutate_deployed_model

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.network_path

network_path(project: str, network: str) -> str

Returns a fully-qualified network string.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.network_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.parse_deployment_resource_pool_path

parse_deployment_resource_pool_path(path: str) -> typing.Dict[str, str]

Parses a deployment_resource_pool path into its component segments.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.parse_deployment_resource_pool_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.parse_endpoint_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.parse_model_deployment_monitoring_job_path

parse_model_deployment_monitoring_job_path(path: str) -> typing.Dict[str, str]

Parses a model_deployment_monitoring_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.parse_model_deployment_monitoring_job_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.parse_model_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.parse_network_path

parse_network_path(path: str) -> typing.Dict[str, str]

Parses a network path into its component segments.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.parse_network_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.undeploy_model

undeploy_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.endpoint_service.UndeployModelRequest, dict
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    deployed_model_id: typing.Optional[str] = None,
    traffic_split: typing.Optional[typing.MutableMapping[str, int]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Undeploys a Model from an Endpoint, removing a DeployedModel from it, and freeing all resources it's using.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.undeploy_model

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.update_endpoint

update_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.endpoint_service.UpdateEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[
        google.cloud.aiplatform_v1.types.endpoint.Endpoint
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.endpoint.Endpoint

Updates an Endpoint.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.update_endpoint

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient

EndpointServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.endpoint_service.transports.base.EndpointServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the endpoint service client.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.exit

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.common_location_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.common_project_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.create_endpoint

create_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.endpoint_service.CreateEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    endpoint: typing.Optional[
        google.cloud.aiplatform_v1.types.endpoint.Endpoint
    ] = None,
    endpoint_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates an Endpoint.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.create_endpoint

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.delete_endpoint

delete_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.endpoint_service.DeleteEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes an Endpoint.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.delete_endpoint

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.delete_operation

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.deploy_model

deploy_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.endpoint_service.DeployModelRequest, dict
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    deployed_model: typing.Optional[
        google.cloud.aiplatform_v1.types.endpoint.DeployedModel
    ] = None,
    traffic_split: typing.Optional[typing.MutableMapping[str, int]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deploys a Model into this Endpoint, creating a DeployedModel within it.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.deploy_model

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.deployment_resource_pool_path

deployment_resource_pool_path(
    project: str, location: str, deployment_resource_pool: str
) -> str

Returns a fully-qualified deployment_resource_pool string.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.deployment_resource_pool_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.endpoint_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.get_endpoint

get_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.endpoint_service.GetEndpointRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.endpoint.Endpoint

Gets an Endpoint.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.get_endpoint

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.get_location

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.get_operation

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.list_endpoints

list_endpoints(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.endpoint_service.ListEndpointsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.endpoint_service.pagers.ListEndpointsPager

Lists Endpoints in a Location.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.list_endpoints

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.list_locations

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.list_operations

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.model_deployment_monitoring_job_path

model_deployment_monitoring_job_path(
    project: str, location: str, model_deployment_monitoring_job: str
) -> str

Returns a fully-qualified model_deployment_monitoring_job string.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.model_deployment_monitoring_job_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.model_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.mutate_deployed_model

mutate_deployed_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.endpoint_service.MutateDeployedModelRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    deployed_model: typing.Optional[
        google.cloud.aiplatform_v1.types.endpoint.DeployedModel
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates an existing deployed model.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.mutate_deployed_model

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.network_path

network_path(project: str, network: str) -> str

Returns a fully-qualified network string.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.network_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.parse_deployment_resource_pool_path

parse_deployment_resource_pool_path(path: str) -> typing.Dict[str, str]

Parses a deployment_resource_pool path into its component segments.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.parse_deployment_resource_pool_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.parse_endpoint_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.parse_model_deployment_monitoring_job_path

parse_model_deployment_monitoring_job_path(path: str) -> typing.Dict[str, str]

Parses a model_deployment_monitoring_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.parse_model_deployment_monitoring_job_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.parse_model_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.parse_network_path

parse_network_path(path: str) -> typing.Dict[str, str]

Parses a network path into its component segments.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.parse_network_path

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.undeploy_model

undeploy_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.endpoint_service.UndeployModelRequest, dict
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    deployed_model_id: typing.Optional[str] = None,
    traffic_split: typing.Optional[typing.MutableMapping[str, int]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Undeploys a Model from an Endpoint, removing a DeployedModel from it, and freeing all resources it's using.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.undeploy_model

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.update_endpoint

update_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.endpoint_service.UpdateEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[
        google.cloud.aiplatform_v1.types.endpoint.Endpoint
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.endpoint.Endpoint

Updates an Endpoint.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.update_endpoint

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.wait_operation

google.cloud.aiplatform_v1.services.endpoint_service.pagers.ListEndpointsAsyncPager

ListEndpointsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.endpoint_service.ListEndpointsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.endpoint_service.ListEndpointsRequest,
    response: google.cloud.aiplatform_v1.types.endpoint_service.ListEndpointsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.endpoint_service.pagers.ListEndpointsAsyncPager

google.cloud.aiplatform_v1.services.endpoint_service.pagers.ListEndpointsPager

ListEndpointsPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1.types.endpoint_service.ListEndpointsResponse
    ],
    request: google.cloud.aiplatform_v1.types.endpoint_service.ListEndpointsRequest,
    response: google.cloud.aiplatform_v1.types.endpoint_service.ListEndpointsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.endpoint_service.pagers.ListEndpointsPager

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient

FeatureOnlineStoreAdminServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.feature_online_store_admin_service.transports.base.FeatureOnlineStoreAdminServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the feature online store admin service async client.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.create_feature_online_store

create_feature_online_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.CreateFeatureOnlineStoreRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    feature_online_store: typing.Optional[
        google.cloud.aiplatform_v1.types.feature_online_store.FeatureOnlineStore
    ] = None,
    feature_online_store_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a new FeatureOnlineStore in a given project and location.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.create_feature_online_store

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.create_feature_view

create_feature_view(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.CreateFeatureViewRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    feature_view: typing.Optional[
        google.cloud.aiplatform_v1.types.feature_view.FeatureView
    ] = None,
    feature_view_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a new FeatureView in a given FeatureOnlineStore.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.create_feature_view

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.delete_feature_online_store

delete_feature_online_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    force: typing.Optional[bool] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single FeatureOnlineStore.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.delete_feature_online_store

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.delete_feature_view

delete_feature_view(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.DeleteFeatureViewRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single FeatureView.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.delete_feature_view

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.feature_online_store_path

feature_online_store_path(
    project: str, location: str, feature_online_store: str
) -> str

Returns a fully-qualified feature_online_store string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.feature_online_store_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.feature_view_path

feature_view_path(
    project: str, location: str, feature_online_store: str, feature_view: str
) -> str

Returns a fully-qualified feature_view string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.feature_view_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.feature_view_sync_path

feature_view_sync_path(
    project: str, location: str, feature_online_store: str, feature_view: str
) -> str

Returns a fully-qualified feature_view_sync string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.feature_view_sync_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_feature_online_store

get_feature_online_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.GetFeatureOnlineStoreRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.feature_online_store.FeatureOnlineStore

Gets details of a single FeatureOnlineStore.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_feature_online_store

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_feature_view

get_feature_view(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.GetFeatureViewRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.feature_view.FeatureView

Gets details of a single FeatureView.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_feature_view

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_feature_view_sync

get_feature_view_sync(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.GetFeatureViewSyncRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.feature_view_sync.FeatureViewSync

Gets details of a single FeatureViewSync.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_feature_view_sync

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.feature_online_store_admin_service.transports.base.FeatureOnlineStoreAdminServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.list_feature_online_stores

list_feature_online_stores(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.ListFeatureOnlineStoresRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.feature_online_store_admin_service.pagers.ListFeatureOnlineStoresAsyncPager
)

Lists FeatureOnlineStores in a given project and location.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.list_feature_online_stores

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.list_feature_view_syncs

list_feature_view_syncs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.ListFeatureViewSyncsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.feature_online_store_admin_service.pagers.ListFeatureViewSyncsAsyncPager
)

Lists FeatureViewSyncs in a given FeatureView.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.list_feature_view_syncs

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.list_feature_views

list_feature_views(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.ListFeatureViewsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.feature_online_store_admin_service.pagers.ListFeatureViewsAsyncPager
)

Lists FeatureViews in a given FeatureOnlineStore.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.list_feature_views

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_feature_online_store_path

parse_feature_online_store_path(path: str) -> typing.Dict[str, str]

Parses a feature_online_store path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_feature_online_store_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_feature_view_path

parse_feature_view_path(path: str) -> typing.Dict[str, str]

Parses a feature_view path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_feature_view_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_feature_view_sync_path

parse_feature_view_sync_path(path: str) -> typing.Dict[str, str]

Parses a feature_view_sync path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_feature_view_sync_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.sync_feature_view

sync_feature_view(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.SyncFeatureViewRequest,
            dict,
        ]
    ] = None,
    *,
    feature_view: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.feature_online_store_admin_service.SyncFeatureViewResponse
)

Triggers on-demand sync for the FeatureView.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.sync_feature_view

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.update_feature_online_store

update_feature_online_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest,
            dict,
        ]
    ] = None,
    *,
    feature_online_store: typing.Optional[
        google.cloud.aiplatform_v1.types.feature_online_store.FeatureOnlineStore
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates the parameters of a single FeatureOnlineStore.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.update_feature_online_store

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.update_feature_view

update_feature_view(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.UpdateFeatureViewRequest,
            dict,
        ]
    ] = None,
    *,
    feature_view: typing.Optional[
        google.cloud.aiplatform_v1.types.feature_view.FeatureView
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates the parameters of a single FeatureView.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.update_feature_view

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient

FeatureOnlineStoreAdminServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.feature_online_store_admin_service.transports.base.FeatureOnlineStoreAdminServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the feature online store admin service client.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.exit

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.common_location_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.common_project_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.create_feature_online_store

create_feature_online_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.CreateFeatureOnlineStoreRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    feature_online_store: typing.Optional[
        google.cloud.aiplatform_v1.types.feature_online_store.FeatureOnlineStore
    ] = None,
    feature_online_store_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a new FeatureOnlineStore in a given project and location.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.create_feature_online_store

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.create_feature_view

create_feature_view(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.CreateFeatureViewRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    feature_view: typing.Optional[
        google.cloud.aiplatform_v1.types.feature_view.FeatureView
    ] = None,
    feature_view_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a new FeatureView in a given FeatureOnlineStore.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.create_feature_view

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.delete_feature_online_store

delete_feature_online_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    force: typing.Optional[bool] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a single FeatureOnlineStore.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.delete_feature_online_store

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.delete_feature_view

delete_feature_view(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.DeleteFeatureViewRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a single FeatureView.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.delete_feature_view

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.delete_operation

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.feature_online_store_path

feature_online_store_path(
    project: str, location: str, feature_online_store: str
) -> str

Returns a fully-qualified feature_online_store string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.feature_online_store_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.feature_view_path

feature_view_path(
    project: str, location: str, feature_online_store: str, feature_view: str
) -> str

Returns a fully-qualified feature_view string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.feature_view_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.feature_view_sync_path

feature_view_sync_path(
    project: str, location: str, feature_online_store: str, feature_view: str
) -> str

Returns a fully-qualified feature_view_sync string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.feature_view_sync_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_feature_online_store

get_feature_online_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.GetFeatureOnlineStoreRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.feature_online_store.FeatureOnlineStore

Gets details of a single FeatureOnlineStore.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_feature_online_store

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_feature_view

get_feature_view(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.GetFeatureViewRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.feature_view.FeatureView

Gets details of a single FeatureView.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_feature_view

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_feature_view_sync

get_feature_view_sync(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.GetFeatureViewSyncRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.feature_view_sync.FeatureViewSync

Gets details of a single FeatureViewSync.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_feature_view_sync

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_location

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_operation

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.list_feature_online_stores

list_feature_online_stores(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.ListFeatureOnlineStoresRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.feature_online_store_admin_service.pagers.ListFeatureOnlineStoresPager
)

Lists FeatureOnlineStores in a given project and location.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.list_feature_online_stores

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.list_feature_view_syncs

list_feature_view_syncs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.ListFeatureViewSyncsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.feature_online_store_admin_service.pagers.ListFeatureViewSyncsPager
)

Lists FeatureViewSyncs in a given FeatureView.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.list_feature_view_syncs

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.list_feature_views

list_feature_views(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.ListFeatureViewsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.feature_online_store_admin_service.pagers.ListFeatureViewsPager
)

Lists FeatureViews in a given FeatureOnlineStore.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.list_feature_views

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.list_locations

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.list_operations

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_feature_online_store_path

parse_feature_online_store_path(path: str) -> typing.Dict[str, str]

Parses a feature_online_store path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_feature_online_store_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_feature_view_path

parse_feature_view_path(path: str) -> typing.Dict[str, str]

Parses a feature_view path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_feature_view_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_feature_view_sync_path

parse_feature_view_sync_path(path: str) -> typing.Dict[str, str]

Parses a feature_view_sync path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_feature_view_sync_path

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.sync_feature_view

sync_feature_view(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.SyncFeatureViewRequest,
            dict,
        ]
    ] = None,
    *,
    feature_view: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.feature_online_store_admin_service.SyncFeatureViewResponse
)

Triggers on-demand sync for the FeatureView.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.sync_feature_view

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.update_feature_online_store

update_feature_online_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest,
            dict,
        ]
    ] = None,
    *,
    feature_online_store: typing.Optional[
        google.cloud.aiplatform_v1.types.feature_online_store.FeatureOnlineStore
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates the parameters of a single FeatureOnlineStore.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.update_feature_online_store

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.update_feature_view

update_feature_view(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.UpdateFeatureViewRequest,
            dict,
        ]
    ] = None,
    *,
    feature_view: typing.Optional[
        google.cloud.aiplatform_v1.types.feature_view.FeatureView
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates the parameters of a single FeatureView.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.update_feature_view

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.wait_operation

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.pagers.ListFeatureOnlineStoresAsyncPager

ListFeatureOnlineStoresAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.ListFeatureOnlineStoresResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.feature_online_store_admin_service.ListFeatureOnlineStoresRequest,
    response: google.cloud.aiplatform_v1.types.feature_online_store_admin_service.ListFeatureOnlineStoresResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.pagers.ListFeatureOnlineStoresAsyncPager

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.pagers.ListFeatureOnlineStoresPager

ListFeatureOnlineStoresPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.feature_online_store_admin_service.ListFeatureOnlineStoresResponse,
    ],
    request: google.cloud.aiplatform_v1.types.feature_online_store_admin_service.ListFeatureOnlineStoresRequest,
    response: google.cloud.aiplatform_v1.types.feature_online_store_admin_service.ListFeatureOnlineStoresResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.pagers.ListFeatureOnlineStoresPager

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.pagers.ListFeatureViewSyncsAsyncPager

ListFeatureViewSyncsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.ListFeatureViewSyncsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.feature_online_store_admin_service.ListFeatureViewSyncsRequest,
    response: google.cloud.aiplatform_v1.types.feature_online_store_admin_service.ListFeatureViewSyncsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.pagers.ListFeatureViewSyncsAsyncPager

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.pagers.ListFeatureViewSyncsPager

ListFeatureViewSyncsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.feature_online_store_admin_service.ListFeatureViewSyncsResponse,
    ],
    request: google.cloud.aiplatform_v1.types.feature_online_store_admin_service.ListFeatureViewSyncsRequest,
    response: google.cloud.aiplatform_v1.types.feature_online_store_admin_service.ListFeatureViewSyncsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.pagers.ListFeatureViewSyncsPager

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.pagers.ListFeatureViewsAsyncPager

ListFeatureViewsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.feature_online_store_admin_service.ListFeatureViewsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.feature_online_store_admin_service.ListFeatureViewsRequest,
    response: google.cloud.aiplatform_v1.types.feature_online_store_admin_service.ListFeatureViewsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.pagers.ListFeatureViewsAsyncPager

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.pagers.ListFeatureViewsPager

ListFeatureViewsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.feature_online_store_admin_service.ListFeatureViewsResponse,
    ],
    request: google.cloud.aiplatform_v1.types.feature_online_store_admin_service.ListFeatureViewsRequest,
    response: google.cloud.aiplatform_v1.types.feature_online_store_admin_service.ListFeatureViewsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.feature_online_store_admin_service.pagers.ListFeatureViewsPager

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient

FeatureOnlineStoreServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.feature_online_store_service.transports.base.FeatureOnlineStoreServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the feature online store service async client.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.feature_view_path

feature_view_path(
    project: str, location: str, feature_online_store: str, feature_view: str
) -> str

Returns a fully-qualified feature_view string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.feature_view_path

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.fetch_feature_values

fetch_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_service.FetchFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    feature_view: typing.Optional[str] = None,
    data_key: typing.Optional[
        google.cloud.aiplatform_v1.types.feature_online_store_service.FeatureViewDataKey
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.feature_online_store_service.FetchFeatureValuesResponse
)

Fetch feature values under a FeatureView.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.fetch_feature_values

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.feature_online_store_service.transports.base.FeatureOnlineStoreServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.parse_feature_view_path

parse_feature_view_path(path: str) -> typing.Dict[str, str]

Parses a feature_view path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.parse_feature_view_path

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.search_nearest_entities

search_nearest_entities(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_service.SearchNearestEntitiesRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.feature_online_store_service.SearchNearestEntitiesResponse
)

Search the nearest entities under a FeatureView.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.search_nearest_entities

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient

FeatureOnlineStoreServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.feature_online_store_service.transports.base.FeatureOnlineStoreServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the feature online store service client.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.exit

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.common_location_path

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.common_project_path

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.delete_operation

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.feature_view_path

feature_view_path(
    project: str, location: str, feature_online_store: str, feature_view: str
) -> str

Returns a fully-qualified feature_view string.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.feature_view_path

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.fetch_feature_values

fetch_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_service.FetchFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    feature_view: typing.Optional[str] = None,
    data_key: typing.Optional[
        google.cloud.aiplatform_v1.types.feature_online_store_service.FeatureViewDataKey
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.feature_online_store_service.FetchFeatureValuesResponse
)

Fetch feature values under a FeatureView.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.fetch_feature_values

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.get_location

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.get_operation

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.list_locations

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.list_operations

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.parse_feature_view_path

parse_feature_view_path(path: str) -> typing.Dict[str, str]

Parses a feature_view path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.parse_feature_view_path

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.search_nearest_entities

search_nearest_entities(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_online_store_service.SearchNearestEntitiesRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.feature_online_store_service.SearchNearestEntitiesResponse
)

Search the nearest entities under a FeatureView.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.search_nearest_entities

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.wait_operation

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient

FeatureRegistryServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.feature_registry_service.transports.base.FeatureRegistryServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the feature registry service async client.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.create_feature

create_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.CreateFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    feature: typing.Optional[google.cloud.aiplatform_v1.types.feature.Feature] = None,
    feature_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a new Feature in a given FeatureGroup.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.create_feature

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.create_feature_group

create_feature_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_registry_service.CreateFeatureGroupRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    feature_group: typing.Optional[
        google.cloud.aiplatform_v1.types.feature_group.FeatureGroup
    ] = None,
    feature_group_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a new FeatureGroup in a given project and location.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.create_feature_group

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.delete_feature

delete_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.DeleteFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single Feature.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.delete_feature

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.delete_feature_group

delete_feature_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_registry_service.DeleteFeatureGroupRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    force: typing.Optional[bool] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single FeatureGroup.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.delete_feature_group

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.feature_group_path

feature_group_path(project: str, location: str, feature_group: str) -> str

Returns a fully-qualified feature_group string.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.feature_group_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.feature_path

feature_path(
    project: str, location: str, featurestore: str, entity_type: str, feature: str
) -> str

Returns a fully-qualified feature string.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.feature_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_feature

get_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.GetFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.feature.Feature

Gets details of a single Feature.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_feature

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_feature_group

get_feature_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_registry_service.GetFeatureGroupRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.feature_group.FeatureGroup

Gets details of a single FeatureGroup.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_feature_group

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.feature_registry_service.transports.base.FeatureRegistryServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.list_feature_groups

list_feature_groups(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_registry_service.ListFeatureGroupsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.feature_registry_service.pagers.ListFeatureGroupsAsyncPager
)

Lists FeatureGroups in a given project and location.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.list_feature_groups

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.list_features

list_features(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.ListFeaturesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.feature_registry_service.pagers.ListFeaturesAsyncPager
)

Lists Features in a given FeatureGroup.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.list_features

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_feature_group_path

parse_feature_group_path(path: str) -> typing.Dict[str, str]

Parses a feature_group path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_feature_group_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_feature_path

parse_feature_path(path: str) -> typing.Dict[str, str]

Parses a feature path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_feature_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.update_feature

update_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.UpdateFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    feature: typing.Optional[google.cloud.aiplatform_v1.types.feature.Feature] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates the parameters of a single Feature.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.update_feature

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.update_feature_group

update_feature_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_registry_service.UpdateFeatureGroupRequest,
            dict,
        ]
    ] = None,
    *,
    feature_group: typing.Optional[
        google.cloud.aiplatform_v1.types.feature_group.FeatureGroup
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates the parameters of a single FeatureGroup.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.update_feature_group

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient

FeatureRegistryServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.feature_registry_service.transports.base.FeatureRegistryServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the feature registry service client.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.exit

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.common_location_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.common_project_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.create_feature

create_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.CreateFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    feature: typing.Optional[google.cloud.aiplatform_v1.types.feature.Feature] = None,
    feature_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a new Feature in a given FeatureGroup.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.create_feature

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.create_feature_group

create_feature_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_registry_service.CreateFeatureGroupRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    feature_group: typing.Optional[
        google.cloud.aiplatform_v1.types.feature_group.FeatureGroup
    ] = None,
    feature_group_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a new FeatureGroup in a given project and location.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.create_feature_group

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.delete_feature

delete_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.DeleteFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a single Feature.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.delete_feature

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.delete_feature_group

delete_feature_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_registry_service.DeleteFeatureGroupRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    force: typing.Optional[bool] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a single FeatureGroup.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.delete_feature_group

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.delete_operation

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.feature_group_path

feature_group_path(project: str, location: str, feature_group: str) -> str

Returns a fully-qualified feature_group string.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.feature_group_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.feature_path

feature_path(
    project: str, location: str, featurestore: str, entity_type: str, feature: str
) -> str

Returns a fully-qualified feature string.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.feature_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.get_feature

get_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.GetFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.feature.Feature

Gets details of a single Feature.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.get_feature

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.get_feature_group

get_feature_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_registry_service.GetFeatureGroupRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.feature_group.FeatureGroup

Gets details of a single FeatureGroup.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.get_feature_group

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.get_location

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.get_operation

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.list_feature_groups

list_feature_groups(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_registry_service.ListFeatureGroupsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.feature_registry_service.pagers.ListFeatureGroupsPager
)

Lists FeatureGroups in a given project and location.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.list_feature_groups

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.list_features

list_features(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.ListFeaturesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.feature_registry_service.pagers.ListFeaturesPager
)

Lists Features in a given FeatureGroup.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.list_features

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.list_locations

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.list_operations

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.parse_feature_group_path

parse_feature_group_path(path: str) -> typing.Dict[str, str]

Parses a feature_group path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.parse_feature_group_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.parse_feature_path

parse_feature_path(path: str) -> typing.Dict[str, str]

Parses a feature path into its component segments.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.parse_feature_path

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.update_feature

update_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.UpdateFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    feature: typing.Optional[google.cloud.aiplatform_v1.types.feature.Feature] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates the parameters of a single Feature.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.update_feature

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.update_feature_group

update_feature_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.feature_registry_service.UpdateFeatureGroupRequest,
            dict,
        ]
    ] = None,
    *,
    feature_group: typing.Optional[
        google.cloud.aiplatform_v1.types.feature_group.FeatureGroup
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates the parameters of a single FeatureGroup.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.update_feature_group

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.wait_operation

google.cloud.aiplatform_v1.services.feature_registry_service.pagers.ListFeatureGroupsAsyncPager

ListFeatureGroupsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.feature_registry_service.ListFeatureGroupsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.feature_registry_service.ListFeatureGroupsRequest,
    response: google.cloud.aiplatform_v1.types.feature_registry_service.ListFeatureGroupsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.pagers.ListFeatureGroupsAsyncPager

google.cloud.aiplatform_v1.services.feature_registry_service.pagers.ListFeatureGroupsPager

ListFeatureGroupsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.feature_registry_service.ListFeatureGroupsResponse,
    ],
    request: google.cloud.aiplatform_v1.types.feature_registry_service.ListFeatureGroupsRequest,
    response: google.cloud.aiplatform_v1.types.feature_registry_service.ListFeatureGroupsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.pagers.ListFeatureGroupsPager

google.cloud.aiplatform_v1.services.feature_registry_service.pagers.ListFeaturesAsyncPager

ListFeaturesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.featurestore_service.ListFeaturesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.featurestore_service.ListFeaturesRequest,
    response: google.cloud.aiplatform_v1.types.featurestore_service.ListFeaturesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.pagers.ListFeaturesAsyncPager

google.cloud.aiplatform_v1.services.feature_registry_service.pagers.ListFeaturesPager

ListFeaturesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.featurestore_service.ListFeaturesResponse,
    ],
    request: google.cloud.aiplatform_v1.types.featurestore_service.ListFeaturesRequest,
    response: google.cloud.aiplatform_v1.types.featurestore_service.ListFeaturesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.feature_registry_service.pagers.ListFeaturesPager

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient

FeaturestoreOnlineServingServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.featurestore_online_serving_service.transports.base.FeaturestoreOnlineServingServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the featurestore online serving service async client.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.entity_type_path

entity_type_path(
    project: str, location: str, featurestore: str, entity_type: str
) -> str

Returns a fully-qualified entity_type string.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.entity_type_path

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.featurestore_online_serving_service.transports.base.FeaturestoreOnlineServingServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.parse_entity_type_path

parse_entity_type_path(path: str) -> typing.Dict[str, str]

Parses a entity_type path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.parse_entity_type_path

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.read_feature_values

read_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_online_service.ReadFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.featurestore_online_service.ReadFeatureValuesResponse
)

Reads Feature values of a specific entity of an EntityType.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.read_feature_values

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.streaming_read_feature_values

streaming_read_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_online_service.StreamingReadFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Awaitable[
    typing.AsyncIterable[
        google.cloud.aiplatform_v1.types.featurestore_online_service.ReadFeatureValuesResponse
    ]
]

Reads Feature values for multiple entities.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.streaming_read_feature_values

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.write_feature_values

write_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_online_service.WriteFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[str] = None,
    payloads: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1.types.featurestore_online_service.WriteFeatureValuesPayload
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.featurestore_online_service.WriteFeatureValuesResponse
)

Writes Feature values of one or more entities of an EntityType.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.write_feature_values

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient

FeaturestoreOnlineServingServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.featurestore_online_serving_service.transports.base.FeaturestoreOnlineServingServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the featurestore online serving service client.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.exit

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.common_location_path

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.common_project_path

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.delete_operation

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.entity_type_path

entity_type_path(
    project: str, location: str, featurestore: str, entity_type: str
) -> str

Returns a fully-qualified entity_type string.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.entity_type_path

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.get_location

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.get_operation

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.list_locations

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.list_operations

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.parse_entity_type_path

parse_entity_type_path(path: str) -> typing.Dict[str, str]

Parses a entity_type path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.parse_entity_type_path

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.read_feature_values

read_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_online_service.ReadFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.featurestore_online_service.ReadFeatureValuesResponse
)

Reads Feature values of a specific entity of an EntityType.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.read_feature_values

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.streaming_read_feature_values

streaming_read_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_online_service.StreamingReadFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Iterable[
    google.cloud.aiplatform_v1.types.featurestore_online_service.ReadFeatureValuesResponse
]

Reads Feature values for multiple entities.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.streaming_read_feature_values

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.wait_operation

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.write_feature_values

write_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_online_service.WriteFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[str] = None,
    payloads: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1.types.featurestore_online_service.WriteFeatureValuesPayload
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.featurestore_online_service.WriteFeatureValuesResponse
)

Writes Feature values of one or more entities of an EntityType.

See more: google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.write_feature_values

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient

FeaturestoreServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.featurestore_service.transports.base.FeaturestoreServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the featurestore service async client.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.batch_create_features

batch_create_features(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.BatchCreateFeaturesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1.types.featurestore_service.CreateFeatureRequest
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a batch of Features in a given EntityType.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.batch_create_features

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.batch_read_feature_values

batch_read_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.BatchReadFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    featurestore: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Batch reads Feature values from a Featurestore.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.batch_read_feature_values

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.create_entity_type

create_entity_type(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.CreateEntityTypeRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    entity_type: typing.Optional[
        google.cloud.aiplatform_v1.types.entity_type.EntityType
    ] = None,
    entity_type_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a new EntityType in a given Featurestore.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.create_entity_type

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.create_feature

create_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.CreateFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    feature: typing.Optional[google.cloud.aiplatform_v1.types.feature.Feature] = None,
    feature_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a new Feature in a given EntityType.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.create_feature

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.create_featurestore

create_featurestore(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.CreateFeaturestoreRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    featurestore: typing.Optional[
        google.cloud.aiplatform_v1.types.featurestore.Featurestore
    ] = None,
    featurestore_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a new Featurestore in a given project and location.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.create_featurestore

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.delete_entity_type

delete_entity_type(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.DeleteEntityTypeRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    force: typing.Optional[bool] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single EntityType.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.delete_entity_type

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.delete_feature

delete_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.DeleteFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single Feature.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.delete_feature

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.delete_feature_values

delete_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.DeleteFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Delete Feature values from Featurestore.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.delete_feature_values

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.delete_featurestore

delete_featurestore(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.DeleteFeaturestoreRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    force: typing.Optional[bool] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single Featurestore.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.delete_featurestore

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.entity_type_path

entity_type_path(
    project: str, location: str, featurestore: str, entity_type: str
) -> str

Returns a fully-qualified entity_type string.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.entity_type_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.export_feature_values

export_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.ExportFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Exports Feature values from all the entities of a target EntityType.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.export_feature_values

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.feature_path

feature_path(
    project: str, location: str, featurestore: str, entity_type: str, feature: str
) -> str

Returns a fully-qualified feature string.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.feature_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.featurestore_path

featurestore_path(project: str, location: str, featurestore: str) -> str

Returns a fully-qualified featurestore string.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.featurestore_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_entity_type

get_entity_type(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.GetEntityTypeRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.entity_type.EntityType

Gets details of a single EntityType.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_entity_type

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_feature

get_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.GetFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.feature.Feature

Gets details of a single Feature.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_feature

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_featurestore

get_featurestore(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.GetFeaturestoreRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.featurestore.Featurestore

Gets details of a single Featurestore.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_featurestore

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.featurestore_service.transports.base.FeaturestoreServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.import_feature_values

import_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.ImportFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Imports Feature values into the Featurestore from a source storage.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.import_feature_values

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.list_entity_types

list_entity_types(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.ListEntityTypesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.featurestore_service.pagers.ListEntityTypesAsyncPager
)

Lists EntityTypes in a given Featurestore.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.list_entity_types

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.list_features

list_features(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.ListFeaturesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.featurestore_service.pagers.ListFeaturesAsyncPager
)

Lists Features in a given EntityType.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.list_features

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.list_featurestores

list_featurestores(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.ListFeaturestoresRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.featurestore_service.pagers.ListFeaturestoresAsyncPager
)

Lists Featurestores in a given project and location.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.list_featurestores

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_entity_type_path

parse_entity_type_path(path: str) -> typing.Dict[str, str]

Parses a entity_type path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_entity_type_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_feature_path

parse_feature_path(path: str) -> typing.Dict[str, str]

Parses a feature path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_feature_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_featurestore_path

parse_featurestore_path(path: str) -> typing.Dict[str, str]

Parses a featurestore path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_featurestore_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.search_features

search_features(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.SearchFeaturesRequest,
            dict,
        ]
    ] = None,
    *,
    location: typing.Optional[str] = None,
    query: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.featurestore_service.pagers.SearchFeaturesAsyncPager
)

Searches Features matching a query in a given project.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.search_features

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.update_entity_type

update_entity_type(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.UpdateEntityTypeRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[
        google.cloud.aiplatform_v1.types.entity_type.EntityType
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.entity_type.EntityType

Updates the parameters of a single EntityType.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.update_entity_type

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.update_feature

update_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.UpdateFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    feature: typing.Optional[google.cloud.aiplatform_v1.types.feature.Feature] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.feature.Feature

Updates the parameters of a single Feature.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.update_feature

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.update_featurestore

update_featurestore(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.UpdateFeaturestoreRequest,
            dict,
        ]
    ] = None,
    *,
    featurestore: typing.Optional[
        google.cloud.aiplatform_v1.types.featurestore.Featurestore
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates the parameters of a single Featurestore.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.update_featurestore

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient

FeaturestoreServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.featurestore_service.transports.base.FeaturestoreServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the featurestore service client.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.exit

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.batch_create_features

batch_create_features(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.BatchCreateFeaturesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1.types.featurestore_service.CreateFeatureRequest
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a batch of Features in a given EntityType.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.batch_create_features

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.batch_read_feature_values

batch_read_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.BatchReadFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    featurestore: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Batch reads Feature values from a Featurestore.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.batch_read_feature_values

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.common_location_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.common_project_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.create_entity_type

create_entity_type(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.CreateEntityTypeRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    entity_type: typing.Optional[
        google.cloud.aiplatform_v1.types.entity_type.EntityType
    ] = None,
    entity_type_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a new EntityType in a given Featurestore.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.create_entity_type

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.create_feature

create_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.CreateFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    feature: typing.Optional[google.cloud.aiplatform_v1.types.feature.Feature] = None,
    feature_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a new Feature in a given EntityType.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.create_feature

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.create_featurestore

create_featurestore(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.CreateFeaturestoreRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    featurestore: typing.Optional[
        google.cloud.aiplatform_v1.types.featurestore.Featurestore
    ] = None,
    featurestore_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a new Featurestore in a given project and location.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.create_featurestore

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.delete_entity_type

delete_entity_type(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.DeleteEntityTypeRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    force: typing.Optional[bool] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a single EntityType.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.delete_entity_type

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.delete_feature

delete_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.DeleteFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a single Feature.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.delete_feature

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.delete_feature_values

delete_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.DeleteFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Delete Feature values from Featurestore.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.delete_feature_values

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.delete_featurestore

delete_featurestore(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.DeleteFeaturestoreRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    force: typing.Optional[bool] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a single Featurestore.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.delete_featurestore

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.delete_operation

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.entity_type_path

entity_type_path(
    project: str, location: str, featurestore: str, entity_type: str
) -> str

Returns a fully-qualified entity_type string.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.entity_type_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.export_feature_values

export_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.ExportFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Exports Feature values from all the entities of a target EntityType.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.export_feature_values

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.feature_path

feature_path(
    project: str, location: str, featurestore: str, entity_type: str, feature: str
) -> str

Returns a fully-qualified feature string.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.feature_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.featurestore_path

featurestore_path(project: str, location: str, featurestore: str) -> str

Returns a fully-qualified featurestore string.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.featurestore_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.get_entity_type

get_entity_type(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.GetEntityTypeRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.entity_type.EntityType

Gets details of a single EntityType.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.get_entity_type

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.get_feature

get_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.GetFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.feature.Feature

Gets details of a single Feature.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.get_feature

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.get_featurestore

get_featurestore(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.GetFeaturestoreRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.featurestore.Featurestore

Gets details of a single Featurestore.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.get_featurestore

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.get_location

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.get_operation

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.import_feature_values

import_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.ImportFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Imports Feature values into the Featurestore from a source storage.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.import_feature_values

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.list_entity_types

list_entity_types(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.ListEntityTypesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.featurestore_service.pagers.ListEntityTypesPager
)

Lists EntityTypes in a given Featurestore.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.list_entity_types

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.list_features

list_features(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.ListFeaturesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.featurestore_service.pagers.ListFeaturesPager

Lists Features in a given EntityType.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.list_features

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.list_featurestores

list_featurestores(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.ListFeaturestoresRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.featurestore_service.pagers.ListFeaturestoresPager
)

Lists Featurestores in a given project and location.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.list_featurestores

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.list_locations

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.list_operations

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.parse_entity_type_path

parse_entity_type_path(path: str) -> typing.Dict[str, str]

Parses a entity_type path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.parse_entity_type_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.parse_feature_path

parse_feature_path(path: str) -> typing.Dict[str, str]

Parses a feature path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.parse_feature_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.parse_featurestore_path

parse_featurestore_path(path: str) -> typing.Dict[str, str]

Parses a featurestore path into its component segments.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.parse_featurestore_path

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.search_features

search_features(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.SearchFeaturesRequest,
            dict,
        ]
    ] = None,
    *,
    location: typing.Optional[str] = None,
    query: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.featurestore_service.pagers.SearchFeaturesPager
)

Searches Features matching a query in a given project.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.search_features

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.update_entity_type

update_entity_type(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.UpdateEntityTypeRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[
        google.cloud.aiplatform_v1.types.entity_type.EntityType
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.entity_type.EntityType

Updates the parameters of a single EntityType.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.update_entity_type

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.update_feature

update_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.UpdateFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    feature: typing.Optional[google.cloud.aiplatform_v1.types.feature.Feature] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.feature.Feature

Updates the parameters of a single Feature.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.update_feature

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.update_featurestore

update_featurestore(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.featurestore_service.UpdateFeaturestoreRequest,
            dict,
        ]
    ] = None,
    *,
    featurestore: typing.Optional[
        google.cloud.aiplatform_v1.types.featurestore.Featurestore
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates the parameters of a single Featurestore.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.update_featurestore

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.wait_operation

google.cloud.aiplatform_v1.services.featurestore_service.pagers.ListEntityTypesAsyncPager

ListEntityTypesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.featurestore_service.ListEntityTypesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.featurestore_service.ListEntityTypesRequest,
    response: google.cloud.aiplatform_v1.types.featurestore_service.ListEntityTypesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.featurestore_service.pagers.ListEntityTypesAsyncPager

google.cloud.aiplatform_v1.services.featurestore_service.pagers.ListEntityTypesPager

ListEntityTypesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.featurestore_service.ListEntityTypesResponse,
    ],
    request: google.cloud.aiplatform_v1.types.featurestore_service.ListEntityTypesRequest,
    response: google.cloud.aiplatform_v1.types.featurestore_service.ListEntityTypesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.featurestore_service.pagers.ListEntityTypesPager

google.cloud.aiplatform_v1.services.featurestore_service.pagers.ListFeaturesAsyncPager

ListFeaturesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.featurestore_service.ListFeaturesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.featurestore_service.ListFeaturesRequest,
    response: google.cloud.aiplatform_v1.types.featurestore_service.ListFeaturesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.featurestore_service.pagers.ListFeaturesAsyncPager

google.cloud.aiplatform_v1.services.featurestore_service.pagers.ListFeaturesPager

ListFeaturesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.featurestore_service.ListFeaturesResponse,
    ],
    request: google.cloud.aiplatform_v1.types.featurestore_service.ListFeaturesRequest,
    response: google.cloud.aiplatform_v1.types.featurestore_service.ListFeaturesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.featurestore_service.pagers.ListFeaturesPager

google.cloud.aiplatform_v1.services.featurestore_service.pagers.ListFeaturestoresAsyncPager

ListFeaturestoresAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.featurestore_service.ListFeaturestoresResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.featurestore_service.ListFeaturestoresRequest,
    response: google.cloud.aiplatform_v1.types.featurestore_service.ListFeaturestoresResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.featurestore_service.pagers.ListFeaturestoresAsyncPager

google.cloud.aiplatform_v1.services.featurestore_service.pagers.ListFeaturestoresPager

ListFeaturestoresPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.featurestore_service.ListFeaturestoresResponse,
    ],
    request: google.cloud.aiplatform_v1.types.featurestore_service.ListFeaturestoresRequest,
    response: google.cloud.aiplatform_v1.types.featurestore_service.ListFeaturestoresResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.featurestore_service.pagers.ListFeaturestoresPager

google.cloud.aiplatform_v1.services.featurestore_service.pagers.SearchFeaturesAsyncPager

SearchFeaturesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.featurestore_service.SearchFeaturesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.featurestore_service.SearchFeaturesRequest,
    response: google.cloud.aiplatform_v1.types.featurestore_service.SearchFeaturesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.featurestore_service.pagers.SearchFeaturesAsyncPager

google.cloud.aiplatform_v1.services.featurestore_service.pagers.SearchFeaturesPager

SearchFeaturesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.featurestore_service.SearchFeaturesResponse,
    ],
    request: google.cloud.aiplatform_v1.types.featurestore_service.SearchFeaturesRequest,
    response: google.cloud.aiplatform_v1.types.featurestore_service.SearchFeaturesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.featurestore_service.pagers.SearchFeaturesPager

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient

GenAiTuningServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.gen_ai_tuning_service.transports.base.GenAiTuningServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the gen ai tuning service async client.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.cancel_tuning_job

cancel_tuning_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.genai_tuning_service.CancelTuningJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a TuningJob.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.cancel_tuning_job

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.context_path

context_path(project: str, location: str, metadata_store: str, context: str) -> str

Returns a fully-qualified context string.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.context_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.create_tuning_job

create_tuning_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.genai_tuning_service.CreateTuningJobRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    tuning_job: typing.Optional[
        google.cloud.aiplatform_v1.types.tuning_job.TuningJob
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tuning_job.TuningJob

Creates a TuningJob.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.create_tuning_job

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.endpoint_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.gen_ai_tuning_service.transports.base.GenAiTuningServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.get_tuning_job

get_tuning_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.genai_tuning_service.GetTuningJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tuning_job.TuningJob

Gets a TuningJob.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.get_tuning_job

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.list_tuning_jobs

list_tuning_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.genai_tuning_service.ListTuningJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.gen_ai_tuning_service.pagers.ListTuningJobsAsyncPager
)

Lists TuningJobs in a Location.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.list_tuning_jobs

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.model_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.parse_context_path

parse_context_path(path: str) -> typing.Dict[str, str]

Parses a context path into its component segments.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.parse_context_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.parse_endpoint_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.parse_model_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.parse_tuning_job_path

parse_tuning_job_path(path: str) -> typing.Dict[str, str]

Parses a tuning_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.parse_tuning_job_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.tuning_job_path

tuning_job_path(project: str, location: str, tuning_job: str) -> str

Returns a fully-qualified tuning_job string.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.tuning_job_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient

GenAiTuningServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.gen_ai_tuning_service.transports.base.GenAiTuningServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the gen ai tuning service client.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.exit

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.cancel_tuning_job

cancel_tuning_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.genai_tuning_service.CancelTuningJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a TuningJob.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.cancel_tuning_job

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.common_location_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.common_project_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.context_path

context_path(project: str, location: str, metadata_store: str, context: str) -> str

Returns a fully-qualified context string.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.context_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.create_tuning_job

create_tuning_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.genai_tuning_service.CreateTuningJobRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    tuning_job: typing.Optional[
        google.cloud.aiplatform_v1.types.tuning_job.TuningJob
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tuning_job.TuningJob

Creates a TuningJob.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.create_tuning_job

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.delete_operation

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.endpoint_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.get_location

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.get_operation

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.get_tuning_job

get_tuning_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.genai_tuning_service.GetTuningJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tuning_job.TuningJob

Gets a TuningJob.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.get_tuning_job

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.list_locations

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.list_operations

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.list_tuning_jobs

list_tuning_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.genai_tuning_service.ListTuningJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.gen_ai_tuning_service.pagers.ListTuningJobsPager
)

Lists TuningJobs in a Location.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.list_tuning_jobs

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.model_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.parse_context_path

parse_context_path(path: str) -> typing.Dict[str, str]

Parses a context path into its component segments.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.parse_context_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.parse_endpoint_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.parse_model_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.parse_tuning_job_path

parse_tuning_job_path(path: str) -> typing.Dict[str, str]

Parses a tuning_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.parse_tuning_job_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.tuning_job_path

tuning_job_path(project: str, location: str, tuning_job: str) -> str

Returns a fully-qualified tuning_job string.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.tuning_job_path

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.wait_operation

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.pagers.ListTuningJobsAsyncPager

ListTuningJobsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.genai_tuning_service.ListTuningJobsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.genai_tuning_service.ListTuningJobsRequest,
    response: google.cloud.aiplatform_v1.types.genai_tuning_service.ListTuningJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.pagers.ListTuningJobsAsyncPager

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.pagers.ListTuningJobsPager

ListTuningJobsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.genai_tuning_service.ListTuningJobsResponse,
    ],
    request: google.cloud.aiplatform_v1.types.genai_tuning_service.ListTuningJobsRequest,
    response: google.cloud.aiplatform_v1.types.genai_tuning_service.ListTuningJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.pagers.ListTuningJobsPager

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient

IndexEndpointServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.index_endpoint_service.transports.base.IndexEndpointServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the index endpoint service async client.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.create_index_endpoint

create_index_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_endpoint_service.CreateIndexEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    index_endpoint: typing.Optional[
        google.cloud.aiplatform_v1.types.index_endpoint.IndexEndpoint
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates an IndexEndpoint.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.create_index_endpoint

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.delete_index_endpoint

delete_index_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_endpoint_service.DeleteIndexEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes an IndexEndpoint.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.delete_index_endpoint

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.deploy_index

deploy_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_endpoint_service.DeployIndexRequest,
            dict,
        ]
    ] = None,
    *,
    index_endpoint: typing.Optional[str] = None,
    deployed_index: typing.Optional[
        google.cloud.aiplatform_v1.types.index_endpoint.DeployedIndex
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deploys an Index into this IndexEndpoint, creating a DeployedIndex within it.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.deploy_index

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.get_index_endpoint

get_index_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_endpoint_service.GetIndexEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.index_endpoint.IndexEndpoint

Gets an IndexEndpoint.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.get_index_endpoint

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.index_endpoint_service.transports.base.IndexEndpointServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.index_endpoint_path

index_endpoint_path(project: str, location: str, index_endpoint: str) -> str

Returns a fully-qualified index_endpoint string.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.index_endpoint_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.index_path

index_path(project: str, location: str, index: str) -> str

Returns a fully-qualified index string.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.index_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.list_index_endpoints

list_index_endpoints(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_endpoint_service.ListIndexEndpointsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.index_endpoint_service.pagers.ListIndexEndpointsAsyncPager
)

Lists IndexEndpoints in a Location.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.list_index_endpoints

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.mutate_deployed_index

mutate_deployed_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_endpoint_service.MutateDeployedIndexRequest,
            dict,
        ]
    ] = None,
    *,
    index_endpoint: typing.Optional[str] = None,
    deployed_index: typing.Optional[
        google.cloud.aiplatform_v1.types.index_endpoint.DeployedIndex
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Update an existing DeployedIndex under an IndexEndpoint.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.mutate_deployed_index

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_index_endpoint_path

parse_index_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a index_endpoint path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_index_endpoint_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_index_path

parse_index_path(path: str) -> typing.Dict[str, str]

Parses a index path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_index_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.undeploy_index

undeploy_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_endpoint_service.UndeployIndexRequest,
            dict,
        ]
    ] = None,
    *,
    index_endpoint: typing.Optional[str] = None,
    deployed_index_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Undeploys an Index from an IndexEndpoint, removing a DeployedIndex from it, and freeing all resources it's using.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.undeploy_index

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.update_index_endpoint

update_index_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_endpoint_service.UpdateIndexEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    index_endpoint: typing.Optional[
        google.cloud.aiplatform_v1.types.index_endpoint.IndexEndpoint
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.index_endpoint.IndexEndpoint

Updates an IndexEndpoint.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.update_index_endpoint

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient

IndexEndpointServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.index_endpoint_service.transports.base.IndexEndpointServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the index endpoint service client.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.exit

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.common_location_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.common_project_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.create_index_endpoint

create_index_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_endpoint_service.CreateIndexEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    index_endpoint: typing.Optional[
        google.cloud.aiplatform_v1.types.index_endpoint.IndexEndpoint
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates an IndexEndpoint.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.create_index_endpoint

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.delete_index_endpoint

delete_index_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_endpoint_service.DeleteIndexEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes an IndexEndpoint.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.delete_index_endpoint

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.delete_operation

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.deploy_index

deploy_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_endpoint_service.DeployIndexRequest,
            dict,
        ]
    ] = None,
    *,
    index_endpoint: typing.Optional[str] = None,
    deployed_index: typing.Optional[
        google.cloud.aiplatform_v1.types.index_endpoint.DeployedIndex
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deploys an Index into this IndexEndpoint, creating a DeployedIndex within it.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.deploy_index

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.get_index_endpoint

get_index_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_endpoint_service.GetIndexEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.index_endpoint.IndexEndpoint

Gets an IndexEndpoint.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.get_index_endpoint

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.get_location

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.get_operation

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.index_endpoint_path

index_endpoint_path(project: str, location: str, index_endpoint: str) -> str

Returns a fully-qualified index_endpoint string.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.index_endpoint_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.index_path

index_path(project: str, location: str, index: str) -> str

Returns a fully-qualified index string.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.index_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.list_index_endpoints

list_index_endpoints(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_endpoint_service.ListIndexEndpointsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.index_endpoint_service.pagers.ListIndexEndpointsPager
)

Lists IndexEndpoints in a Location.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.list_index_endpoints

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.list_locations

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.list_operations

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.mutate_deployed_index

mutate_deployed_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_endpoint_service.MutateDeployedIndexRequest,
            dict,
        ]
    ] = None,
    *,
    index_endpoint: typing.Optional[str] = None,
    deployed_index: typing.Optional[
        google.cloud.aiplatform_v1.types.index_endpoint.DeployedIndex
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Update an existing DeployedIndex under an IndexEndpoint.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.mutate_deployed_index

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.parse_index_endpoint_path

parse_index_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a index_endpoint path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.parse_index_endpoint_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.parse_index_path

parse_index_path(path: str) -> typing.Dict[str, str]

Parses a index path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.parse_index_path

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.undeploy_index

undeploy_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_endpoint_service.UndeployIndexRequest,
            dict,
        ]
    ] = None,
    *,
    index_endpoint: typing.Optional[str] = None,
    deployed_index_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Undeploys an Index from an IndexEndpoint, removing a DeployedIndex from it, and freeing all resources it's using.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.undeploy_index

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.update_index_endpoint

update_index_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_endpoint_service.UpdateIndexEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    index_endpoint: typing.Optional[
        google.cloud.aiplatform_v1.types.index_endpoint.IndexEndpoint
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.index_endpoint.IndexEndpoint

Updates an IndexEndpoint.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.update_index_endpoint

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.wait_operation

google.cloud.aiplatform_v1.services.index_endpoint_service.pagers.ListIndexEndpointsAsyncPager

ListIndexEndpointsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.index_endpoint_service.ListIndexEndpointsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.index_endpoint_service.ListIndexEndpointsRequest,
    response: google.cloud.aiplatform_v1.types.index_endpoint_service.ListIndexEndpointsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.pagers.ListIndexEndpointsAsyncPager

google.cloud.aiplatform_v1.services.index_endpoint_service.pagers.ListIndexEndpointsPager

ListIndexEndpointsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.index_endpoint_service.ListIndexEndpointsResponse,
    ],
    request: google.cloud.aiplatform_v1.types.index_endpoint_service.ListIndexEndpointsRequest,
    response: google.cloud.aiplatform_v1.types.index_endpoint_service.ListIndexEndpointsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.index_endpoint_service.pagers.ListIndexEndpointsPager

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient

IndexServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.index_service.transports.base.IndexServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the index service async client.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.create_index

create_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_service.CreateIndexRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    index: typing.Optional[google.cloud.aiplatform_v1.types.index.Index] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates an Index.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.create_index

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.delete_index

delete_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_service.DeleteIndexRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes an Index.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.delete_index

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.get_index

get_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_service.GetIndexRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.index.Index

Gets an Index.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.get_index

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.index_service.transports.base.IndexServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.index_endpoint_path

index_endpoint_path(project: str, location: str, index_endpoint: str) -> str

Returns a fully-qualified index_endpoint string.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.index_endpoint_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.index_path

index_path(project: str, location: str, index: str) -> str

Returns a fully-qualified index string.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.index_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.list_indexes

list_indexes(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_service.ListIndexesRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.index_service.pagers.ListIndexesAsyncPager

Lists Indexes in a Location.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.list_indexes

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.parse_index_endpoint_path

parse_index_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a index_endpoint path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.parse_index_endpoint_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.parse_index_path

parse_index_path(path: str) -> typing.Dict[str, str]

Parses a index path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.parse_index_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.remove_datapoints

remove_datapoints(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_service.RemoveDatapointsRequest, dict
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.index_service.RemoveDatapointsResponse

Remove Datapoints from an Index.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.remove_datapoints

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.update_index

update_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_service.UpdateIndexRequest, dict
        ]
    ] = None,
    *,
    index: typing.Optional[google.cloud.aiplatform_v1.types.index.Index] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates an Index.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.update_index

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.upsert_datapoints

upsert_datapoints(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_service.UpsertDatapointsRequest, dict
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.index_service.UpsertDatapointsResponse

Add/update Datapoints into an Index.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.upsert_datapoints

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient

IndexServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.index_service.transports.base.IndexServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the index service client.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.exit

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.common_location_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.common_project_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.create_index

create_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_service.CreateIndexRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    index: typing.Optional[google.cloud.aiplatform_v1.types.index.Index] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates an Index.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.create_index

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.delete_index

delete_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_service.DeleteIndexRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes an Index.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.delete_index

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.delete_operation

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.get_index

get_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_service.GetIndexRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.index.Index

Gets an Index.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.get_index

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.get_location

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.get_operation

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.index_endpoint_path

index_endpoint_path(project: str, location: str, index_endpoint: str) -> str

Returns a fully-qualified index_endpoint string.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.index_endpoint_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.index_path

index_path(project: str, location: str, index: str) -> str

Returns a fully-qualified index string.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.index_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.list_indexes

list_indexes(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_service.ListIndexesRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.index_service.pagers.ListIndexesPager

Lists Indexes in a Location.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.list_indexes

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.list_locations

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.list_operations

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.parse_index_endpoint_path

parse_index_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a index_endpoint path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.parse_index_endpoint_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.parse_index_path

parse_index_path(path: str) -> typing.Dict[str, str]

Parses a index path into its component segments.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.parse_index_path

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.remove_datapoints

remove_datapoints(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_service.RemoveDatapointsRequest, dict
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.index_service.RemoveDatapointsResponse

Remove Datapoints from an Index.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.remove_datapoints

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.update_index

update_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_service.UpdateIndexRequest, dict
        ]
    ] = None,
    *,
    index: typing.Optional[google.cloud.aiplatform_v1.types.index.Index] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates an Index.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.update_index

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.upsert_datapoints

upsert_datapoints(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.index_service.UpsertDatapointsRequest, dict
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.index_service.UpsertDatapointsResponse

Add/update Datapoints into an Index.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.upsert_datapoints

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.wait_operation

google.cloud.aiplatform_v1.services.index_service.pagers.ListIndexesAsyncPager

ListIndexesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.index_service.ListIndexesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.index_service.ListIndexesRequest,
    response: google.cloud.aiplatform_v1.types.index_service.ListIndexesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.index_service.pagers.ListIndexesAsyncPager

google.cloud.aiplatform_v1.services.index_service.pagers.ListIndexesPager

ListIndexesPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1.types.index_service.ListIndexesResponse
    ],
    request: google.cloud.aiplatform_v1.types.index_service.ListIndexesRequest,
    response: google.cloud.aiplatform_v1.types.index_service.ListIndexesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.index_service.pagers.ListIndexesPager

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient

JobServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.job_service.transports.base.JobServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the job service async client.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.batch_prediction_job_path

batch_prediction_job_path(
    project: str, location: str, batch_prediction_job: str
) -> str

Returns a fully-qualified batch_prediction_job string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.batch_prediction_job_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.cancel_batch_prediction_job

cancel_batch_prediction_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.CancelBatchPredictionJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a BatchPredictionJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.cancel_batch_prediction_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.cancel_custom_job

cancel_custom_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.CancelCustomJobRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a CustomJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.cancel_custom_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.cancel_data_labeling_job

cancel_data_labeling_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.CancelDataLabelingJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a DataLabelingJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.cancel_data_labeling_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.cancel_hyperparameter_tuning_job

cancel_hyperparameter_tuning_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.CancelHyperparameterTuningJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a HyperparameterTuningJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.cancel_hyperparameter_tuning_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.cancel_nas_job

cancel_nas_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.CancelNasJobRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a NasJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.cancel_nas_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.context_path

context_path(project: str, location: str, metadata_store: str, context: str) -> str

Returns a fully-qualified context string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.context_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.create_batch_prediction_job

create_batch_prediction_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.CreateBatchPredictionJobRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    batch_prediction_job: typing.Optional[
        google.cloud.aiplatform_v1.types.batch_prediction_job.BatchPredictionJob
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.batch_prediction_job.BatchPredictionJob

Creates a BatchPredictionJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.create_batch_prediction_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.create_custom_job

create_custom_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.CreateCustomJobRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    custom_job: typing.Optional[
        google.cloud.aiplatform_v1.types.custom_job.CustomJob
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.custom_job.CustomJob

Creates a CustomJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.create_custom_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.create_data_labeling_job

create_data_labeling_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.CreateDataLabelingJobRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    data_labeling_job: typing.Optional[
        google.cloud.aiplatform_v1.types.data_labeling_job.DataLabelingJob
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.data_labeling_job.DataLabelingJob

Creates a DataLabelingJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.create_data_labeling_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.create_hyperparameter_tuning_job

create_hyperparameter_tuning_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.CreateHyperparameterTuningJobRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    hyperparameter_tuning_job: typing.Optional[
        google.cloud.aiplatform_v1.types.hyperparameter_tuning_job.HyperparameterTuningJob
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.hyperparameter_tuning_job.HyperparameterTuningJob

Creates a HyperparameterTuningJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.create_hyperparameter_tuning_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.create_model_deployment_monitoring_job

create_model_deployment_monitoring_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.CreateModelDeploymentMonitoringJobRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    model_deployment_monitoring_job: typing.Optional[
        google.cloud.aiplatform_v1.types.model_deployment_monitoring_job.ModelDeploymentMonitoringJob
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.model_deployment_monitoring_job.ModelDeploymentMonitoringJob
)

Creates a ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.create_model_deployment_monitoring_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.create_nas_job

create_nas_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.CreateNasJobRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    nas_job: typing.Optional[google.cloud.aiplatform_v1.types.nas_job.NasJob] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.nas_job.NasJob

Creates a NasJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.create_nas_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.custom_job_path

custom_job_path(project: str, location: str, custom_job: str) -> str

Returns a fully-qualified custom_job string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.custom_job_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.data_labeling_job_path

data_labeling_job_path(project: str, location: str, data_labeling_job: str) -> str

Returns a fully-qualified data_labeling_job string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.data_labeling_job_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.dataset_path

dataset_path(project: str, location: str, dataset: str) -> str

Returns a fully-qualified dataset string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.dataset_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.delete_batch_prediction_job

delete_batch_prediction_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.DeleteBatchPredictionJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a BatchPredictionJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.delete_batch_prediction_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.delete_custom_job

delete_custom_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.DeleteCustomJobRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a CustomJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.delete_custom_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.delete_data_labeling_job

delete_data_labeling_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.DeleteDataLabelingJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a DataLabelingJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.delete_data_labeling_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.delete_hyperparameter_tuning_job

delete_hyperparameter_tuning_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.DeleteHyperparameterTuningJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a HyperparameterTuningJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.delete_hyperparameter_tuning_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.delete_model_deployment_monitoring_job

delete_model_deployment_monitoring_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.DeleteModelDeploymentMonitoringJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.delete_model_deployment_monitoring_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.delete_nas_job

delete_nas_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.DeleteNasJobRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a NasJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.delete_nas_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.endpoint_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.get_batch_prediction_job

get_batch_prediction_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.GetBatchPredictionJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.batch_prediction_job.BatchPredictionJob

Gets a BatchPredictionJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.get_batch_prediction_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.get_custom_job

get_custom_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.GetCustomJobRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.custom_job.CustomJob

Gets a CustomJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.get_custom_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.get_data_labeling_job

get_data_labeling_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.GetDataLabelingJobRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.data_labeling_job.DataLabelingJob

Gets a DataLabelingJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.get_data_labeling_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.get_hyperparameter_tuning_job

get_hyperparameter_tuning_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.GetHyperparameterTuningJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.hyperparameter_tuning_job.HyperparameterTuningJob

Gets a HyperparameterTuningJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.get_hyperparameter_tuning_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.get_model_deployment_monitoring_job

get_model_deployment_monitoring_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.GetModelDeploymentMonitoringJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.model_deployment_monitoring_job.ModelDeploymentMonitoringJob
)

Gets a ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.get_model_deployment_monitoring_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.get_nas_job

get_nas_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.GetNasJobRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.nas_job.NasJob

Gets a NasJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.get_nas_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.get_nas_trial_detail

get_nas_trial_detail(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.GetNasTrialDetailRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.nas_job.NasTrialDetail

Gets a NasTrialDetail.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.get_nas_trial_detail

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.job_service.transports.base.JobServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.hyperparameter_tuning_job_path

hyperparameter_tuning_job_path(
    project: str, location: str, hyperparameter_tuning_job: str
) -> str

Returns a fully-qualified hyperparameter_tuning_job string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.hyperparameter_tuning_job_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.list_batch_prediction_jobs

list_batch_prediction_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.ListBatchPredictionJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.job_service.pagers.ListBatchPredictionJobsAsyncPager
)

Lists BatchPredictionJobs in a Location.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.list_batch_prediction_jobs

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.list_custom_jobs

list_custom_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.ListCustomJobsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.job_service.pagers.ListCustomJobsAsyncPager

Lists CustomJobs in a Location.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.list_custom_jobs

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.list_data_labeling_jobs

list_data_labeling_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.ListDataLabelingJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.job_service.pagers.ListDataLabelingJobsAsyncPager
)

Lists DataLabelingJobs in a Location.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.list_data_labeling_jobs

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.list_hyperparameter_tuning_jobs

list_hyperparameter_tuning_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.ListHyperparameterTuningJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.job_service.pagers.ListHyperparameterTuningJobsAsyncPager
)

Lists HyperparameterTuningJobs in a Location.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.list_hyperparameter_tuning_jobs

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.list_model_deployment_monitoring_jobs

list_model_deployment_monitoring_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.ListModelDeploymentMonitoringJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.job_service.pagers.ListModelDeploymentMonitoringJobsAsyncPager
)

Lists ModelDeploymentMonitoringJobs in a Location.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.list_model_deployment_monitoring_jobs

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.list_nas_jobs

list_nas_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.ListNasJobsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.job_service.pagers.ListNasJobsAsyncPager

Lists NasJobs in a Location.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.list_nas_jobs

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.list_nas_trial_details

list_nas_trial_details(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.ListNasTrialDetailsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.job_service.pagers.ListNasTrialDetailsAsyncPager
)

List top NasTrialDetails of a NasJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.list_nas_trial_details

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.model_deployment_monitoring_job_path

model_deployment_monitoring_job_path(
    project: str, location: str, model_deployment_monitoring_job: str
) -> str

Returns a fully-qualified model_deployment_monitoring_job string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.model_deployment_monitoring_job_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.model_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.nas_job_path

nas_job_path(project: str, location: str, nas_job: str) -> str

Returns a fully-qualified nas_job string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.nas_job_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.nas_trial_detail_path

nas_trial_detail_path(
    project: str, location: str, nas_job: str, nas_trial_detail: str
) -> str

Returns a fully-qualified nas_trial_detail string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.nas_trial_detail_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.network_path

network_path(project: str, network: str) -> str

Returns a fully-qualified network string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.network_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.notification_channel_path

notification_channel_path(project: str, notification_channel: str) -> str

Returns a fully-qualified notification_channel string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.notification_channel_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_batch_prediction_job_path

parse_batch_prediction_job_path(path: str) -> typing.Dict[str, str]

Parses a batch_prediction_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_batch_prediction_job_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_context_path

parse_context_path(path: str) -> typing.Dict[str, str]

Parses a context path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_context_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_custom_job_path

parse_custom_job_path(path: str) -> typing.Dict[str, str]

Parses a custom_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_custom_job_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_data_labeling_job_path

parse_data_labeling_job_path(path: str) -> typing.Dict[str, str]

Parses a data_labeling_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_data_labeling_job_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_dataset_path

parse_dataset_path(path: str) -> typing.Dict[str, str]

Parses a dataset path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_dataset_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_endpoint_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_hyperparameter_tuning_job_path

parse_hyperparameter_tuning_job_path(path: str) -> typing.Dict[str, str]

Parses a hyperparameter_tuning_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_hyperparameter_tuning_job_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_model_deployment_monitoring_job_path

parse_model_deployment_monitoring_job_path(path: str) -> typing.Dict[str, str]

Parses a model_deployment_monitoring_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_model_deployment_monitoring_job_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_model_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_nas_job_path

parse_nas_job_path(path: str) -> typing.Dict[str, str]

Parses a nas_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_nas_job_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_nas_trial_detail_path

parse_nas_trial_detail_path(path: str) -> typing.Dict[str, str]

Parses a nas_trial_detail path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_nas_trial_detail_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_network_path

parse_network_path(path: str) -> typing.Dict[str, str]

Parses a network path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_network_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_notification_channel_path

parse_notification_channel_path(path: str) -> typing.Dict[str, str]

Parses a notification_channel path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_notification_channel_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_persistent_resource_path

parse_persistent_resource_path(path: str) -> typing.Dict[str, str]

Parses a persistent_resource path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_persistent_resource_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_tensorboard_path

parse_tensorboard_path(path: str) -> typing.Dict[str, str]

Parses a tensorboard path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_tensorboard_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_trial_path

parse_trial_path(path: str) -> typing.Dict[str, str]

Parses a trial path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.parse_trial_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.pause_model_deployment_monitoring_job

pause_model_deployment_monitoring_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.PauseModelDeploymentMonitoringJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Pauses a ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.pause_model_deployment_monitoring_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.persistent_resource_path

persistent_resource_path(
    project: str, location: str, persistent_resource: str
) -> str

Returns a fully-qualified persistent_resource string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.persistent_resource_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.resume_model_deployment_monitoring_job

resume_model_deployment_monitoring_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.ResumeModelDeploymentMonitoringJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Resumes a paused ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.resume_model_deployment_monitoring_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.search_model_deployment_monitoring_stats_anomalies

search_model_deployment_monitoring_stats_anomalies(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesRequest,
            dict,
        ]
    ] = None,
    *,
    model_deployment_monitoring_job: typing.Optional[str] = None,
    deployed_model_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.job_service.pagers.SearchModelDeploymentMonitoringStatsAnomaliesAsyncPager
)

Searches Model Monitoring Statistics generated within a given time window.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.search_model_deployment_monitoring_stats_anomalies

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.tensorboard_path

tensorboard_path(project: str, location: str, tensorboard: str) -> str

Returns a fully-qualified tensorboard string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.tensorboard_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.trial_path

trial_path(project: str, location: str, study: str, trial: str) -> str

Returns a fully-qualified trial string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.trial_path

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.update_model_deployment_monitoring_job

update_model_deployment_monitoring_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.UpdateModelDeploymentMonitoringJobRequest,
            dict,
        ]
    ] = None,
    *,
    model_deployment_monitoring_job: typing.Optional[
        google.cloud.aiplatform_v1.types.model_deployment_monitoring_job.ModelDeploymentMonitoringJob
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates a ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.update_model_deployment_monitoring_job

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.job_service.JobServiceClient

JobServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.job_service.transports.base.JobServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the job service client.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.exit

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.batch_prediction_job_path

batch_prediction_job_path(
    project: str, location: str, batch_prediction_job: str
) -> str

Returns a fully-qualified batch_prediction_job string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.batch_prediction_job_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.cancel_batch_prediction_job

cancel_batch_prediction_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.CancelBatchPredictionJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a BatchPredictionJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.cancel_batch_prediction_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.cancel_custom_job

cancel_custom_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.CancelCustomJobRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a CustomJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.cancel_custom_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.cancel_data_labeling_job

cancel_data_labeling_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.CancelDataLabelingJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a DataLabelingJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.cancel_data_labeling_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.cancel_hyperparameter_tuning_job

cancel_hyperparameter_tuning_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.CancelHyperparameterTuningJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a HyperparameterTuningJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.cancel_hyperparameter_tuning_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.cancel_nas_job

cancel_nas_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.CancelNasJobRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a NasJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.cancel_nas_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.common_location_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.common_project_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.context_path

context_path(project: str, location: str, metadata_store: str, context: str) -> str

Returns a fully-qualified context string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.context_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.create_batch_prediction_job

create_batch_prediction_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.CreateBatchPredictionJobRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    batch_prediction_job: typing.Optional[
        google.cloud.aiplatform_v1.types.batch_prediction_job.BatchPredictionJob
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.batch_prediction_job.BatchPredictionJob

Creates a BatchPredictionJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.create_batch_prediction_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.create_custom_job

create_custom_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.CreateCustomJobRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    custom_job: typing.Optional[
        google.cloud.aiplatform_v1.types.custom_job.CustomJob
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.custom_job.CustomJob

Creates a CustomJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.create_custom_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.create_data_labeling_job

create_data_labeling_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.CreateDataLabelingJobRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    data_labeling_job: typing.Optional[
        google.cloud.aiplatform_v1.types.data_labeling_job.DataLabelingJob
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.data_labeling_job.DataLabelingJob

Creates a DataLabelingJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.create_data_labeling_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.create_hyperparameter_tuning_job

create_hyperparameter_tuning_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.CreateHyperparameterTuningJobRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    hyperparameter_tuning_job: typing.Optional[
        google.cloud.aiplatform_v1.types.hyperparameter_tuning_job.HyperparameterTuningJob
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.hyperparameter_tuning_job.HyperparameterTuningJob

Creates a HyperparameterTuningJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.create_hyperparameter_tuning_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.create_model_deployment_monitoring_job

create_model_deployment_monitoring_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.CreateModelDeploymentMonitoringJobRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    model_deployment_monitoring_job: typing.Optional[
        google.cloud.aiplatform_v1.types.model_deployment_monitoring_job.ModelDeploymentMonitoringJob
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.model_deployment_monitoring_job.ModelDeploymentMonitoringJob
)

Creates a ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.create_model_deployment_monitoring_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.create_nas_job

create_nas_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.CreateNasJobRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    nas_job: typing.Optional[google.cloud.aiplatform_v1.types.nas_job.NasJob] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.nas_job.NasJob

Creates a NasJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.create_nas_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.custom_job_path

custom_job_path(project: str, location: str, custom_job: str) -> str

Returns a fully-qualified custom_job string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.custom_job_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.data_labeling_job_path

data_labeling_job_path(project: str, location: str, data_labeling_job: str) -> str

Returns a fully-qualified data_labeling_job string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.data_labeling_job_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.dataset_path

dataset_path(project: str, location: str, dataset: str) -> str

Returns a fully-qualified dataset string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.dataset_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.delete_batch_prediction_job

delete_batch_prediction_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.DeleteBatchPredictionJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a BatchPredictionJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.delete_batch_prediction_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.delete_custom_job

delete_custom_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.DeleteCustomJobRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a CustomJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.delete_custom_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.delete_data_labeling_job

delete_data_labeling_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.DeleteDataLabelingJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a DataLabelingJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.delete_data_labeling_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.delete_hyperparameter_tuning_job

delete_hyperparameter_tuning_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.DeleteHyperparameterTuningJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a HyperparameterTuningJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.delete_hyperparameter_tuning_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.delete_model_deployment_monitoring_job

delete_model_deployment_monitoring_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.DeleteModelDeploymentMonitoringJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.delete_model_deployment_monitoring_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.delete_nas_job

delete_nas_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.DeleteNasJobRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a NasJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.delete_nas_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.delete_operation

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.endpoint_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.get_batch_prediction_job

get_batch_prediction_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.GetBatchPredictionJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.batch_prediction_job.BatchPredictionJob

Gets a BatchPredictionJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.get_batch_prediction_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.get_custom_job

get_custom_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.GetCustomJobRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.custom_job.CustomJob

Gets a CustomJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.get_custom_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.get_data_labeling_job

get_data_labeling_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.GetDataLabelingJobRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.data_labeling_job.DataLabelingJob

Gets a DataLabelingJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.get_data_labeling_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.get_hyperparameter_tuning_job

get_hyperparameter_tuning_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.GetHyperparameterTuningJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.hyperparameter_tuning_job.HyperparameterTuningJob

Gets a HyperparameterTuningJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.get_hyperparameter_tuning_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.get_location

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.get_model_deployment_monitoring_job

get_model_deployment_monitoring_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.GetModelDeploymentMonitoringJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.model_deployment_monitoring_job.ModelDeploymentMonitoringJob
)

Gets a ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.get_model_deployment_monitoring_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.get_nas_job

get_nas_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.GetNasJobRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.nas_job.NasJob

Gets a NasJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.get_nas_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.get_nas_trial_detail

get_nas_trial_detail(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.GetNasTrialDetailRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.nas_job.NasTrialDetail

Gets a NasTrialDetail.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.get_nas_trial_detail

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.get_operation

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.hyperparameter_tuning_job_path

hyperparameter_tuning_job_path(
    project: str, location: str, hyperparameter_tuning_job: str
) -> str

Returns a fully-qualified hyperparameter_tuning_job string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.hyperparameter_tuning_job_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.list_batch_prediction_jobs

list_batch_prediction_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.ListBatchPredictionJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.job_service.pagers.ListBatchPredictionJobsPager
)

Lists BatchPredictionJobs in a Location.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.list_batch_prediction_jobs

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.list_custom_jobs

list_custom_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.ListCustomJobsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.job_service.pagers.ListCustomJobsPager

Lists CustomJobs in a Location.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.list_custom_jobs

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.list_data_labeling_jobs

list_data_labeling_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.ListDataLabelingJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.job_service.pagers.ListDataLabelingJobsPager

Lists DataLabelingJobs in a Location.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.list_data_labeling_jobs

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.list_hyperparameter_tuning_jobs

list_hyperparameter_tuning_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.ListHyperparameterTuningJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.job_service.pagers.ListHyperparameterTuningJobsPager
)

Lists HyperparameterTuningJobs in a Location.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.list_hyperparameter_tuning_jobs

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.list_locations

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.list_model_deployment_monitoring_jobs

list_model_deployment_monitoring_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.ListModelDeploymentMonitoringJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.job_service.pagers.ListModelDeploymentMonitoringJobsPager
)

Lists ModelDeploymentMonitoringJobs in a Location.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.list_model_deployment_monitoring_jobs

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.list_nas_jobs

list_nas_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.ListNasJobsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.job_service.pagers.ListNasJobsPager

Lists NasJobs in a Location.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.list_nas_jobs

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.list_nas_trial_details

list_nas_trial_details(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.ListNasTrialDetailsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.job_service.pagers.ListNasTrialDetailsPager

List top NasTrialDetails of a NasJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.list_nas_trial_details

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.list_operations

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.model_deployment_monitoring_job_path

model_deployment_monitoring_job_path(
    project: str, location: str, model_deployment_monitoring_job: str
) -> str

Returns a fully-qualified model_deployment_monitoring_job string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.model_deployment_monitoring_job_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.model_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.nas_job_path

nas_job_path(project: str, location: str, nas_job: str) -> str

Returns a fully-qualified nas_job string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.nas_job_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.nas_trial_detail_path

nas_trial_detail_path(
    project: str, location: str, nas_job: str, nas_trial_detail: str
) -> str

Returns a fully-qualified nas_trial_detail string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.nas_trial_detail_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.network_path

network_path(project: str, network: str) -> str

Returns a fully-qualified network string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.network_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.notification_channel_path

notification_channel_path(project: str, notification_channel: str) -> str

Returns a fully-qualified notification_channel string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.notification_channel_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_batch_prediction_job_path

parse_batch_prediction_job_path(path: str) -> typing.Dict[str, str]

Parses a batch_prediction_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_batch_prediction_job_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_context_path

parse_context_path(path: str) -> typing.Dict[str, str]

Parses a context path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_context_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_custom_job_path

parse_custom_job_path(path: str) -> typing.Dict[str, str]

Parses a custom_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_custom_job_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_data_labeling_job_path

parse_data_labeling_job_path(path: str) -> typing.Dict[str, str]

Parses a data_labeling_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_data_labeling_job_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_dataset_path

parse_dataset_path(path: str) -> typing.Dict[str, str]

Parses a dataset path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_dataset_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_endpoint_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_hyperparameter_tuning_job_path

parse_hyperparameter_tuning_job_path(path: str) -> typing.Dict[str, str]

Parses a hyperparameter_tuning_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_hyperparameter_tuning_job_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_model_deployment_monitoring_job_path

parse_model_deployment_monitoring_job_path(path: str) -> typing.Dict[str, str]

Parses a model_deployment_monitoring_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_model_deployment_monitoring_job_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_model_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_nas_job_path

parse_nas_job_path(path: str) -> typing.Dict[str, str]

Parses a nas_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_nas_job_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_nas_trial_detail_path

parse_nas_trial_detail_path(path: str) -> typing.Dict[str, str]

Parses a nas_trial_detail path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_nas_trial_detail_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_network_path

parse_network_path(path: str) -> typing.Dict[str, str]

Parses a network path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_network_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_notification_channel_path

parse_notification_channel_path(path: str) -> typing.Dict[str, str]

Parses a notification_channel path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_notification_channel_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_persistent_resource_path

parse_persistent_resource_path(path: str) -> typing.Dict[str, str]

Parses a persistent_resource path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_persistent_resource_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_tensorboard_path

parse_tensorboard_path(path: str) -> typing.Dict[str, str]

Parses a tensorboard path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_tensorboard_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_trial_path

parse_trial_path(path: str) -> typing.Dict[str, str]

Parses a trial path into its component segments.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.parse_trial_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.pause_model_deployment_monitoring_job

pause_model_deployment_monitoring_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.PauseModelDeploymentMonitoringJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Pauses a ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.pause_model_deployment_monitoring_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.persistent_resource_path

persistent_resource_path(
    project: str, location: str, persistent_resource: str
) -> str

Returns a fully-qualified persistent_resource string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.persistent_resource_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.resume_model_deployment_monitoring_job

resume_model_deployment_monitoring_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.ResumeModelDeploymentMonitoringJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Resumes a paused ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.resume_model_deployment_monitoring_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.search_model_deployment_monitoring_stats_anomalies

search_model_deployment_monitoring_stats_anomalies(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesRequest,
            dict,
        ]
    ] = None,
    *,
    model_deployment_monitoring_job: typing.Optional[str] = None,
    deployed_model_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.job_service.pagers.SearchModelDeploymentMonitoringStatsAnomaliesPager
)

Searches Model Monitoring Statistics generated within a given time window.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.search_model_deployment_monitoring_stats_anomalies

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.tensorboard_path

tensorboard_path(project: str, location: str, tensorboard: str) -> str

Returns a fully-qualified tensorboard string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.tensorboard_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.trial_path

trial_path(project: str, location: str, study: str, trial: str) -> str

Returns a fully-qualified trial string.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.trial_path

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.update_model_deployment_monitoring_job

update_model_deployment_monitoring_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.job_service.UpdateModelDeploymentMonitoringJobRequest,
            dict,
        ]
    ] = None,
    *,
    model_deployment_monitoring_job: typing.Optional[
        google.cloud.aiplatform_v1.types.model_deployment_monitoring_job.ModelDeploymentMonitoringJob
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates a ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.update_model_deployment_monitoring_job

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.wait_operation

google.cloud.aiplatform_v1.services.job_service.pagers.ListBatchPredictionJobsAsyncPager

ListBatchPredictionJobsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.job_service.ListBatchPredictionJobsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.job_service.ListBatchPredictionJobsRequest,
    response: google.cloud.aiplatform_v1.types.job_service.ListBatchPredictionJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.job_service.pagers.ListBatchPredictionJobsAsyncPager

google.cloud.aiplatform_v1.services.job_service.pagers.ListBatchPredictionJobsPager

ListBatchPredictionJobsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.job_service.ListBatchPredictionJobsResponse,
    ],
    request: google.cloud.aiplatform_v1.types.job_service.ListBatchPredictionJobsRequest,
    response: google.cloud.aiplatform_v1.types.job_service.ListBatchPredictionJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.job_service.pagers.ListBatchPredictionJobsPager

google.cloud.aiplatform_v1.services.job_service.pagers.ListCustomJobsAsyncPager

ListCustomJobsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.job_service.ListCustomJobsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.job_service.ListCustomJobsRequest,
    response: google.cloud.aiplatform_v1.types.job_service.ListCustomJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.job_service.pagers.ListCustomJobsAsyncPager

google.cloud.aiplatform_v1.services.job_service.pagers.ListCustomJobsPager

ListCustomJobsPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1.types.job_service.ListCustomJobsResponse
    ],
    request: google.cloud.aiplatform_v1.types.job_service.ListCustomJobsRequest,
    response: google.cloud.aiplatform_v1.types.job_service.ListCustomJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.job_service.pagers.ListCustomJobsPager

google.cloud.aiplatform_v1.services.job_service.pagers.ListDataLabelingJobsAsyncPager

ListDataLabelingJobsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.job_service.ListDataLabelingJobsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.job_service.ListDataLabelingJobsRequest,
    response: google.cloud.aiplatform_v1.types.job_service.ListDataLabelingJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.job_service.pagers.ListDataLabelingJobsAsyncPager

google.cloud.aiplatform_v1.services.job_service.pagers.ListDataLabelingJobsPager

ListDataLabelingJobsPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1.types.job_service.ListDataLabelingJobsResponse
    ],
    request: google.cloud.aiplatform_v1.types.job_service.ListDataLabelingJobsRequest,
    response: google.cloud.aiplatform_v1.types.job_service.ListDataLabelingJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.job_service.pagers.ListDataLabelingJobsPager

google.cloud.aiplatform_v1.services.job_service.pagers.ListHyperparameterTuningJobsAsyncPager

ListHyperparameterTuningJobsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.job_service.ListHyperparameterTuningJobsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.job_service.ListHyperparameterTuningJobsRequest,
    response: google.cloud.aiplatform_v1.types.job_service.ListHyperparameterTuningJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.job_service.pagers.ListHyperparameterTuningJobsAsyncPager

google.cloud.aiplatform_v1.services.job_service.pagers.ListHyperparameterTuningJobsPager

ListHyperparameterTuningJobsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.job_service.ListHyperparameterTuningJobsResponse,
    ],
    request: google.cloud.aiplatform_v1.types.job_service.ListHyperparameterTuningJobsRequest,
    response: google.cloud.aiplatform_v1.types.job_service.ListHyperparameterTuningJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.job_service.pagers.ListHyperparameterTuningJobsPager

google.cloud.aiplatform_v1.services.job_service.pagers.ListModelDeploymentMonitoringJobsAsyncPager

ListModelDeploymentMonitoringJobsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.job_service.ListModelDeploymentMonitoringJobsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.job_service.ListModelDeploymentMonitoringJobsRequest,
    response: google.cloud.aiplatform_v1.types.job_service.ListModelDeploymentMonitoringJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.job_service.pagers.ListModelDeploymentMonitoringJobsAsyncPager

google.cloud.aiplatform_v1.services.job_service.pagers.ListModelDeploymentMonitoringJobsPager

ListModelDeploymentMonitoringJobsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.job_service.ListModelDeploymentMonitoringJobsResponse,
    ],
    request: google.cloud.aiplatform_v1.types.job_service.ListModelDeploymentMonitoringJobsRequest,
    response: google.cloud.aiplatform_v1.types.job_service.ListModelDeploymentMonitoringJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.job_service.pagers.ListModelDeploymentMonitoringJobsPager

google.cloud.aiplatform_v1.services.job_service.pagers.ListNasJobsAsyncPager

ListNasJobsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.job_service.ListNasJobsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.job_service.ListNasJobsRequest,
    response: google.cloud.aiplatform_v1.types.job_service.ListNasJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.job_service.pagers.ListNasJobsAsyncPager

google.cloud.aiplatform_v1.services.job_service.pagers.ListNasJobsPager

ListNasJobsPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1.types.job_service.ListNasJobsResponse
    ],
    request: google.cloud.aiplatform_v1.types.job_service.ListNasJobsRequest,
    response: google.cloud.aiplatform_v1.types.job_service.ListNasJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.job_service.pagers.ListNasJobsPager

google.cloud.aiplatform_v1.services.job_service.pagers.ListNasTrialDetailsAsyncPager

ListNasTrialDetailsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.job_service.ListNasTrialDetailsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.job_service.ListNasTrialDetailsRequest,
    response: google.cloud.aiplatform_v1.types.job_service.ListNasTrialDetailsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.job_service.pagers.ListNasTrialDetailsAsyncPager

google.cloud.aiplatform_v1.services.job_service.pagers.ListNasTrialDetailsPager

ListNasTrialDetailsPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1.types.job_service.ListNasTrialDetailsResponse
    ],
    request: google.cloud.aiplatform_v1.types.job_service.ListNasTrialDetailsRequest,
    response: google.cloud.aiplatform_v1.types.job_service.ListNasTrialDetailsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.job_service.pagers.ListNasTrialDetailsPager

google.cloud.aiplatform_v1.services.job_service.pagers.SearchModelDeploymentMonitoringStatsAnomaliesAsyncPager

SearchModelDeploymentMonitoringStatsAnomaliesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesRequest,
    response: google.cloud.aiplatform_v1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.job_service.pagers.SearchModelDeploymentMonitoringStatsAnomaliesAsyncPager

google.cloud.aiplatform_v1.services.job_service.pagers.SearchModelDeploymentMonitoringStatsAnomaliesPager

SearchModelDeploymentMonitoringStatsAnomaliesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesResponse,
    ],
    request: google.cloud.aiplatform_v1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesRequest,
    response: google.cloud.aiplatform_v1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.job_service.pagers.SearchModelDeploymentMonitoringStatsAnomaliesPager

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient

LlmUtilityServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.llm_utility_service.transports.base.LlmUtilityServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the llm utility service async client.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.compute_tokens

compute_tokens(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.llm_utility_service.ComputeTokensRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    instances: typing.Optional[
        typing.MutableSequence[google.protobuf.struct_pb2.Value]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.llm_utility_service.ComputeTokensResponse

Return a list of tokens based on the input text.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.compute_tokens

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.count_tokens

count_tokens(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.prediction_service.CountTokensRequest, dict
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    instances: typing.Optional[
        typing.MutableSequence[google.protobuf.struct_pb2.Value]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.prediction_service.CountTokensResponse

Perform a token counting.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.count_tokens

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.endpoint_path

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.llm_utility_service.transports.base.LlmUtilityServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.parse_endpoint_path

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient

LlmUtilityServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.llm_utility_service.transports.base.LlmUtilityServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the llm utility service client.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.exit

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.common_location_path

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.common_project_path

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.compute_tokens

compute_tokens(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.llm_utility_service.ComputeTokensRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    instances: typing.Optional[
        typing.MutableSequence[google.protobuf.struct_pb2.Value]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.llm_utility_service.ComputeTokensResponse

Return a list of tokens based on the input text.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.compute_tokens

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.count_tokens

count_tokens(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.prediction_service.CountTokensRequest, dict
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    instances: typing.Optional[
        typing.MutableSequence[google.protobuf.struct_pb2.Value]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.prediction_service.CountTokensResponse

Perform a token counting.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.count_tokens

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.delete_operation

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.endpoint_path

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.get_location

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.get_operation

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.list_locations

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.list_operations

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.parse_endpoint_path

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.wait_operation

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient

MatchServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.match_service.transports.base.MatchServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the match service async client.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.find_neighbors

find_neighbors(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.match_service.FindNeighborsRequest, dict
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.match_service.FindNeighborsResponse

Finds the nearest neighbors of each vector within the request.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.find_neighbors

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.match_service.transports.base.MatchServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.index_endpoint_path

index_endpoint_path(project: str, location: str, index_endpoint: str) -> str

Returns a fully-qualified index_endpoint string.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.index_endpoint_path

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.parse_index_endpoint_path

parse_index_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a index_endpoint path into its component segments.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.parse_index_endpoint_path

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.read_index_datapoints

read_index_datapoints(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.match_service.ReadIndexDatapointsRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.match_service.ReadIndexDatapointsResponse

Reads the datapoints/vectors of the given IDs.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.read_index_datapoints

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient

MatchServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.match_service.transports.base.MatchServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the match service client.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.exit

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.common_location_path

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.common_project_path

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.delete_operation

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.find_neighbors

find_neighbors(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.match_service.FindNeighborsRequest, dict
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.match_service.FindNeighborsResponse

Finds the nearest neighbors of each vector within the request.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.find_neighbors

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.get_location

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.get_operation

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.index_endpoint_path

index_endpoint_path(project: str, location: str, index_endpoint: str) -> str

Returns a fully-qualified index_endpoint string.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.index_endpoint_path

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.list_locations

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.list_operations

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.parse_index_endpoint_path

parse_index_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a index_endpoint path into its component segments.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.parse_index_endpoint_path

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.read_index_datapoints

read_index_datapoints(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.match_service.ReadIndexDatapointsRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.match_service.ReadIndexDatapointsResponse

Reads the datapoints/vectors of the given IDs.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.read_index_datapoints

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.wait_operation

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient

MetadataServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.metadata_service.transports.base.MetadataServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the metadata service async client.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.add_context_artifacts_and_executions

add_context_artifacts_and_executions(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.AddContextArtifactsAndExecutionsRequest,
            dict,
        ]
    ] = None,
    *,
    context: typing.Optional[str] = None,
    artifacts: typing.Optional[typing.MutableSequence[str]] = None,
    executions: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.metadata_service.AddContextArtifactsAndExecutionsResponse
)

Adds a set of Artifacts and Executions to a Context.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.add_context_artifacts_and_executions

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.add_context_children

add_context_children(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.AddContextChildrenRequest,
            dict,
        ]
    ] = None,
    *,
    context: typing.Optional[str] = None,
    child_contexts: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.metadata_service.AddContextChildrenResponse

Adds a set of Contexts as children to a parent Context.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.add_context_children

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.add_execution_events

add_execution_events(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.AddExecutionEventsRequest,
            dict,
        ]
    ] = None,
    *,
    execution: typing.Optional[str] = None,
    events: typing.Optional[
        typing.MutableSequence[google.cloud.aiplatform_v1.types.event.Event]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.metadata_service.AddExecutionEventsResponse

Adds Events to the specified Execution.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.add_execution_events

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.artifact_path

artifact_path(
    project: str, location: str, metadata_store: str, artifact: str
) -> str

Returns a fully-qualified artifact string.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.artifact_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.context_path

context_path(project: str, location: str, metadata_store: str, context: str) -> str

Returns a fully-qualified context string.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.context_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.create_artifact

create_artifact(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.CreateArtifactRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    artifact: typing.Optional[
        google.cloud.aiplatform_v1.types.artifact.Artifact
    ] = None,
    artifact_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.artifact.Artifact

Creates an Artifact associated with a MetadataStore.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.create_artifact

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.create_context

create_context(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.CreateContextRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    context: typing.Optional[google.cloud.aiplatform_v1.types.context.Context] = None,
    context_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.context.Context

Creates a Context associated with a MetadataStore.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.create_context

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.create_execution

create_execution(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.CreateExecutionRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    execution: typing.Optional[
        google.cloud.aiplatform_v1.types.execution.Execution
    ] = None,
    execution_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.execution.Execution

Creates an Execution associated with a MetadataStore.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.create_execution

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.create_metadata_schema

create_metadata_schema(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.CreateMetadataSchemaRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    metadata_schema: typing.Optional[
        google.cloud.aiplatform_v1.types.metadata_schema.MetadataSchema
    ] = None,
    metadata_schema_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.metadata_schema.MetadataSchema

Creates a MetadataSchema.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.create_metadata_schema

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.create_metadata_store

create_metadata_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.CreateMetadataStoreRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    metadata_store: typing.Optional[
        google.cloud.aiplatform_v1.types.metadata_store.MetadataStore
    ] = None,
    metadata_store_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Initializes a MetadataStore, including allocation of resources.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.create_metadata_store

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.delete_artifact

delete_artifact(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.DeleteArtifactRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes an Artifact.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.delete_artifact

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.delete_context

delete_context(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.DeleteContextRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a stored Context.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.delete_context

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.delete_execution

delete_execution(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.DeleteExecutionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes an Execution.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.delete_execution

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.delete_metadata_store

delete_metadata_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.DeleteMetadataStoreRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single MetadataStore and all its child resources (Artifacts, Executions, and Contexts).

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.delete_metadata_store

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.execution_path

execution_path(
    project: str, location: str, metadata_store: str, execution: str
) -> str

Returns a fully-qualified execution string.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.execution_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.get_artifact

get_artifact(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.GetArtifactRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.artifact.Artifact

Retrieves a specific Artifact.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.get_artifact

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.get_context

get_context(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.GetContextRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.context.Context

Retrieves a specific Context.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.get_context

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.get_execution

get_execution(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.GetExecutionRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.execution.Execution

Retrieves a specific Execution.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.get_execution

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.get_metadata_schema

get_metadata_schema(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.GetMetadataSchemaRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.metadata_schema.MetadataSchema

Retrieves a specific MetadataSchema.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.get_metadata_schema

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.get_metadata_store

get_metadata_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.GetMetadataStoreRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.metadata_store.MetadataStore

Retrieves a specific MetadataStore.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.get_metadata_store

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.metadata_service.transports.base.MetadataServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.list_artifacts

list_artifacts(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.ListArtifactsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.metadata_service.pagers.ListArtifactsAsyncPager
)

Lists Artifacts in the MetadataStore.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.list_artifacts

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.list_contexts

list_contexts(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.ListContextsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.metadata_service.pagers.ListContextsAsyncPager

Lists Contexts on the MetadataStore.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.list_contexts

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.list_executions

list_executions(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.ListExecutionsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.metadata_service.pagers.ListExecutionsAsyncPager
)

Lists Executions in the MetadataStore.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.list_executions

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.list_metadata_schemas

list_metadata_schemas(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.ListMetadataSchemasRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.metadata_service.pagers.ListMetadataSchemasAsyncPager
)

Lists MetadataSchemas.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.list_metadata_schemas

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.list_metadata_stores

list_metadata_stores(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.ListMetadataStoresRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.metadata_service.pagers.ListMetadataStoresAsyncPager
)

Lists MetadataStores for a Location.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.list_metadata_stores

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.metadata_schema_path

metadata_schema_path(
    project: str, location: str, metadata_store: str, metadata_schema: str
) -> str

Returns a fully-qualified metadata_schema string.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.metadata_schema_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.metadata_store_path

metadata_store_path(project: str, location: str, metadata_store: str) -> str

Returns a fully-qualified metadata_store string.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.metadata_store_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.parse_artifact_path

parse_artifact_path(path: str) -> typing.Dict[str, str]

Parses a artifact path into its component segments.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.parse_artifact_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.parse_context_path

parse_context_path(path: str) -> typing.Dict[str, str]

Parses a context path into its component segments.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.parse_context_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.parse_execution_path

parse_execution_path(path: str) -> typing.Dict[str, str]

Parses a execution path into its component segments.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.parse_execution_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.parse_metadata_schema_path

parse_metadata_schema_path(path: str) -> typing.Dict[str, str]

Parses a metadata_schema path into its component segments.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.parse_metadata_schema_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.parse_metadata_store_path

parse_metadata_store_path(path: str) -> typing.Dict[str, str]

Parses a metadata_store path into its component segments.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.parse_metadata_store_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.purge_artifacts

purge_artifacts(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.PurgeArtifactsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Purges Artifacts.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.purge_artifacts

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.purge_contexts

purge_contexts(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.PurgeContextsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Purges Contexts.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.purge_contexts

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.purge_executions

purge_executions(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.PurgeExecutionsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Purges Executions.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.purge_executions

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.query_artifact_lineage_subgraph

query_artifact_lineage_subgraph(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.QueryArtifactLineageSubgraphRequest,
            dict,
        ]
    ] = None,
    *,
    artifact: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.lineage_subgraph.LineageSubgraph

Retrieves lineage of an Artifact represented through Artifacts and Executions connected by Event edges and returned as a LineageSubgraph.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.query_artifact_lineage_subgraph

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.query_context_lineage_subgraph

query_context_lineage_subgraph(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.QueryContextLineageSubgraphRequest,
            dict,
        ]
    ] = None,
    *,
    context: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.lineage_subgraph.LineageSubgraph

Retrieves Artifacts and Executions within the specified Context, connected by Event edges and returned as a LineageSubgraph.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.query_context_lineage_subgraph

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.query_execution_inputs_and_outputs

query_execution_inputs_and_outputs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.QueryExecutionInputsAndOutputsRequest,
            dict,
        ]
    ] = None,
    *,
    execution: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.lineage_subgraph.LineageSubgraph

Obtains the set of input and output Artifacts for this Execution, in the form of LineageSubgraph that also contains the Execution and connecting Events.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.query_execution_inputs_and_outputs

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.remove_context_children

remove_context_children(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.RemoveContextChildrenRequest,
            dict,
        ]
    ] = None,
    *,
    context: typing.Optional[str] = None,
    child_contexts: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.metadata_service.RemoveContextChildrenResponse

Remove a set of children contexts from a parent Context.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.remove_context_children

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.update_artifact

update_artifact(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.UpdateArtifactRequest,
            dict,
        ]
    ] = None,
    *,
    artifact: typing.Optional[
        google.cloud.aiplatform_v1.types.artifact.Artifact
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.artifact.Artifact

Updates a stored Artifact.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.update_artifact

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.update_context

update_context(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.UpdateContextRequest, dict
        ]
    ] = None,
    *,
    context: typing.Optional[google.cloud.aiplatform_v1.types.context.Context] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.context.Context

Updates a stored Context.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.update_context

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.update_execution

update_execution(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.UpdateExecutionRequest,
            dict,
        ]
    ] = None,
    *,
    execution: typing.Optional[
        google.cloud.aiplatform_v1.types.execution.Execution
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.execution.Execution

Updates a stored Execution.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.update_execution

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient

MetadataServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.metadata_service.transports.base.MetadataServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the metadata service client.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.exit

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.add_context_artifacts_and_executions

add_context_artifacts_and_executions(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.AddContextArtifactsAndExecutionsRequest,
            dict,
        ]
    ] = None,
    *,
    context: typing.Optional[str] = None,
    artifacts: typing.Optional[typing.MutableSequence[str]] = None,
    executions: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.metadata_service.AddContextArtifactsAndExecutionsResponse
)

Adds a set of Artifacts and Executions to a Context.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.add_context_artifacts_and_executions

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.add_context_children

add_context_children(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.AddContextChildrenRequest,
            dict,
        ]
    ] = None,
    *,
    context: typing.Optional[str] = None,
    child_contexts: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.metadata_service.AddContextChildrenResponse

Adds a set of Contexts as children to a parent Context.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.add_context_children

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.add_execution_events

add_execution_events(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.AddExecutionEventsRequest,
            dict,
        ]
    ] = None,
    *,
    execution: typing.Optional[str] = None,
    events: typing.Optional[
        typing.MutableSequence[google.cloud.aiplatform_v1.types.event.Event]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.metadata_service.AddExecutionEventsResponse

Adds Events to the specified Execution.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.add_execution_events

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.artifact_path

artifact_path(
    project: str, location: str, metadata_store: str, artifact: str
) -> str

Returns a fully-qualified artifact string.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.artifact_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.common_location_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.common_project_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.context_path

context_path(project: str, location: str, metadata_store: str, context: str) -> str

Returns a fully-qualified context string.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.context_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.create_artifact

create_artifact(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.CreateArtifactRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    artifact: typing.Optional[
        google.cloud.aiplatform_v1.types.artifact.Artifact
    ] = None,
    artifact_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.artifact.Artifact

Creates an Artifact associated with a MetadataStore.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.create_artifact

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.create_context

create_context(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.CreateContextRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    context: typing.Optional[google.cloud.aiplatform_v1.types.context.Context] = None,
    context_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.context.Context

Creates a Context associated with a MetadataStore.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.create_context

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.create_execution

create_execution(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.CreateExecutionRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    execution: typing.Optional[
        google.cloud.aiplatform_v1.types.execution.Execution
    ] = None,
    execution_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.execution.Execution

Creates an Execution associated with a MetadataStore.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.create_execution

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.create_metadata_schema

create_metadata_schema(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.CreateMetadataSchemaRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    metadata_schema: typing.Optional[
        google.cloud.aiplatform_v1.types.metadata_schema.MetadataSchema
    ] = None,
    metadata_schema_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.metadata_schema.MetadataSchema

Creates a MetadataSchema.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.create_metadata_schema

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.create_metadata_store

create_metadata_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.CreateMetadataStoreRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    metadata_store: typing.Optional[
        google.cloud.aiplatform_v1.types.metadata_store.MetadataStore
    ] = None,
    metadata_store_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Initializes a MetadataStore, including allocation of resources.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.create_metadata_store

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.delete_artifact

delete_artifact(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.DeleteArtifactRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes an Artifact.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.delete_artifact

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.delete_context

delete_context(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.DeleteContextRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a stored Context.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.delete_context

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.delete_execution

delete_execution(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.DeleteExecutionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes an Execution.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.delete_execution

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.delete_metadata_store

delete_metadata_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.DeleteMetadataStoreRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a single MetadataStore and all its child resources (Artifacts, Executions, and Contexts).

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.delete_metadata_store

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.delete_operation

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.execution_path

execution_path(
    project: str, location: str, metadata_store: str, execution: str
) -> str

Returns a fully-qualified execution string.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.execution_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.get_artifact

get_artifact(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.GetArtifactRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.artifact.Artifact

Retrieves a specific Artifact.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.get_artifact

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.get_context

get_context(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.GetContextRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.context.Context

Retrieves a specific Context.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.get_context

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.get_execution

get_execution(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.GetExecutionRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.execution.Execution

Retrieves a specific Execution.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.get_execution

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.get_location

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.get_metadata_schema

get_metadata_schema(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.GetMetadataSchemaRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.metadata_schema.MetadataSchema

Retrieves a specific MetadataSchema.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.get_metadata_schema

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.get_metadata_store

get_metadata_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.GetMetadataStoreRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.metadata_store.MetadataStore

Retrieves a specific MetadataStore.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.get_metadata_store

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.get_operation

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.list_artifacts

list_artifacts(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.ListArtifactsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.metadata_service.pagers.ListArtifactsPager

Lists Artifacts in the MetadataStore.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.list_artifacts

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.list_contexts

list_contexts(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.ListContextsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.metadata_service.pagers.ListContextsPager

Lists Contexts on the MetadataStore.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.list_contexts

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.list_executions

list_executions(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.ListExecutionsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.metadata_service.pagers.ListExecutionsPager

Lists Executions in the MetadataStore.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.list_executions

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.list_locations

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.list_metadata_schemas

list_metadata_schemas(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.ListMetadataSchemasRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.metadata_service.pagers.ListMetadataSchemasPager
)

Lists MetadataSchemas.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.list_metadata_schemas

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.list_metadata_stores

list_metadata_stores(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.ListMetadataStoresRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.metadata_service.pagers.ListMetadataStoresPager
)

Lists MetadataStores for a Location.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.list_metadata_stores

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.list_operations

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.metadata_schema_path

metadata_schema_path(
    project: str, location: str, metadata_store: str, metadata_schema: str
) -> str

Returns a fully-qualified metadata_schema string.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.metadata_schema_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.metadata_store_path

metadata_store_path(project: str, location: str, metadata_store: str) -> str

Returns a fully-qualified metadata_store string.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.metadata_store_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.parse_artifact_path

parse_artifact_path(path: str) -> typing.Dict[str, str]

Parses a artifact path into its component segments.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.parse_artifact_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.parse_context_path

parse_context_path(path: str) -> typing.Dict[str, str]

Parses a context path into its component segments.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.parse_context_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.parse_execution_path

parse_execution_path(path: str) -> typing.Dict[str, str]

Parses a execution path into its component segments.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.parse_execution_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.parse_metadata_schema_path

parse_metadata_schema_path(path: str) -> typing.Dict[str, str]

Parses a metadata_schema path into its component segments.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.parse_metadata_schema_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.parse_metadata_store_path

parse_metadata_store_path(path: str) -> typing.Dict[str, str]

Parses a metadata_store path into its component segments.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.parse_metadata_store_path

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.purge_artifacts

purge_artifacts(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.PurgeArtifactsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Purges Artifacts.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.purge_artifacts

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.purge_contexts

purge_contexts(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.PurgeContextsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Purges Contexts.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.purge_contexts

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.purge_executions

purge_executions(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.PurgeExecutionsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Purges Executions.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.purge_executions

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.query_artifact_lineage_subgraph

query_artifact_lineage_subgraph(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.QueryArtifactLineageSubgraphRequest,
            dict,
        ]
    ] = None,
    *,
    artifact: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.lineage_subgraph.LineageSubgraph

Retrieves lineage of an Artifact represented through Artifacts and Executions connected by Event edges and returned as a LineageSubgraph.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.query_artifact_lineage_subgraph

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.query_context_lineage_subgraph

query_context_lineage_subgraph(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.QueryContextLineageSubgraphRequest,
            dict,
        ]
    ] = None,
    *,
    context: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.lineage_subgraph.LineageSubgraph

Retrieves Artifacts and Executions within the specified Context, connected by Event edges and returned as a LineageSubgraph.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.query_context_lineage_subgraph

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.query_execution_inputs_and_outputs

query_execution_inputs_and_outputs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.QueryExecutionInputsAndOutputsRequest,
            dict,
        ]
    ] = None,
    *,
    execution: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.lineage_subgraph.LineageSubgraph

Obtains the set of input and output Artifacts for this Execution, in the form of LineageSubgraph that also contains the Execution and connecting Events.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.query_execution_inputs_and_outputs

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.remove_context_children

remove_context_children(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.RemoveContextChildrenRequest,
            dict,
        ]
    ] = None,
    *,
    context: typing.Optional[str] = None,
    child_contexts: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.metadata_service.RemoveContextChildrenResponse

Remove a set of children contexts from a parent Context.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.remove_context_children

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.update_artifact

update_artifact(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.UpdateArtifactRequest,
            dict,
        ]
    ] = None,
    *,
    artifact: typing.Optional[
        google.cloud.aiplatform_v1.types.artifact.Artifact
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.artifact.Artifact

Updates a stored Artifact.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.update_artifact

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.update_context

update_context(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.UpdateContextRequest, dict
        ]
    ] = None,
    *,
    context: typing.Optional[google.cloud.aiplatform_v1.types.context.Context] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.context.Context

Updates a stored Context.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.update_context

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.update_execution

update_execution(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.metadata_service.UpdateExecutionRequest,
            dict,
        ]
    ] = None,
    *,
    execution: typing.Optional[
        google.cloud.aiplatform_v1.types.execution.Execution
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.execution.Execution

Updates a stored Execution.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.update_execution

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.wait_operation

google.cloud.aiplatform_v1.services.metadata_service.pagers.ListArtifactsAsyncPager

ListArtifactsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.metadata_service.ListArtifactsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.metadata_service.ListArtifactsRequest,
    response: google.cloud.aiplatform_v1.types.metadata_service.ListArtifactsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.metadata_service.pagers.ListArtifactsAsyncPager

google.cloud.aiplatform_v1.services.metadata_service.pagers.ListArtifactsPager

ListArtifactsPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1.types.metadata_service.ListArtifactsResponse
    ],
    request: google.cloud.aiplatform_v1.types.metadata_service.ListArtifactsRequest,
    response: google.cloud.aiplatform_v1.types.metadata_service.ListArtifactsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.metadata_service.pagers.ListArtifactsPager

google.cloud.aiplatform_v1.services.metadata_service.pagers.ListContextsAsyncPager

ListContextsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.metadata_service.ListContextsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.metadata_service.ListContextsRequest,
    response: google.cloud.aiplatform_v1.types.metadata_service.ListContextsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.metadata_service.pagers.ListContextsAsyncPager

google.cloud.aiplatform_v1.services.metadata_service.pagers.ListContextsPager

ListContextsPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1.types.metadata_service.ListContextsResponse
    ],
    request: google.cloud.aiplatform_v1.types.metadata_service.ListContextsRequest,
    response: google.cloud.aiplatform_v1.types.metadata_service.ListContextsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.metadata_service.pagers.ListContextsPager

google.cloud.aiplatform_v1.services.metadata_service.pagers.ListExecutionsAsyncPager

ListExecutionsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.metadata_service.ListExecutionsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.metadata_service.ListExecutionsRequest,
    response: google.cloud.aiplatform_v1.types.metadata_service.ListExecutionsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.metadata_service.pagers.ListExecutionsAsyncPager

google.cloud.aiplatform_v1.services.metadata_service.pagers.ListExecutionsPager

ListExecutionsPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1.types.metadata_service.ListExecutionsResponse
    ],
    request: google.cloud.aiplatform_v1.types.metadata_service.ListExecutionsRequest,
    response: google.cloud.aiplatform_v1.types.metadata_service.ListExecutionsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.metadata_service.pagers.ListExecutionsPager

google.cloud.aiplatform_v1.services.metadata_service.pagers.ListMetadataSchemasAsyncPager

ListMetadataSchemasAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.metadata_service.ListMetadataSchemasResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.metadata_service.ListMetadataSchemasRequest,
    response: google.cloud.aiplatform_v1.types.metadata_service.ListMetadataSchemasResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.metadata_service.pagers.ListMetadataSchemasAsyncPager

google.cloud.aiplatform_v1.services.metadata_service.pagers.ListMetadataSchemasPager

ListMetadataSchemasPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.metadata_service.ListMetadataSchemasResponse,
    ],
    request: google.cloud.aiplatform_v1.types.metadata_service.ListMetadataSchemasRequest,
    response: google.cloud.aiplatform_v1.types.metadata_service.ListMetadataSchemasResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.metadata_service.pagers.ListMetadataSchemasPager

google.cloud.aiplatform_v1.services.metadata_service.pagers.ListMetadataStoresAsyncPager

ListMetadataStoresAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.metadata_service.ListMetadataStoresResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.metadata_service.ListMetadataStoresRequest,
    response: google.cloud.aiplatform_v1.types.metadata_service.ListMetadataStoresResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.metadata_service.pagers.ListMetadataStoresAsyncPager

google.cloud.aiplatform_v1.services.metadata_service.pagers.ListMetadataStoresPager

ListMetadataStoresPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.metadata_service.ListMetadataStoresResponse,
    ],
    request: google.cloud.aiplatform_v1.types.metadata_service.ListMetadataStoresRequest,
    response: google.cloud.aiplatform_v1.types.metadata_service.ListMetadataStoresResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.metadata_service.pagers.ListMetadataStoresPager

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient

MigrationServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.migration_service.transports.base.MigrationServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the migration service async client.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.annotated_dataset_path

annotated_dataset_path(project: str, dataset: str, annotated_dataset: str) -> str

Returns a fully-qualified annotated_dataset string.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.annotated_dataset_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.batch_migrate_resources

batch_migrate_resources(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.migration_service.BatchMigrateResourcesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    migrate_resource_requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1.types.migration_service.MigrateResourceRequest
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Batch migrates resources from ml.googleapis.com, automl.googleapis.com, and datalabeling.googleapis.com to Vertex AI.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.batch_migrate_resources

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.dataset_path

dataset_path(project: str, location: str, dataset: str) -> str

Returns a fully-qualified dataset string.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.dataset_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.migration_service.transports.base.MigrationServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.model_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.parse_annotated_dataset_path

parse_annotated_dataset_path(path: str) -> typing.Dict[str, str]

Parses a annotated_dataset path into its component segments.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.parse_annotated_dataset_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.parse_dataset_path

parse_dataset_path(path: str) -> typing.Dict[str, str]

Parses a dataset path into its component segments.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.parse_dataset_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.parse_model_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.parse_version_path

parse_version_path(path: str) -> typing.Dict[str, str]

Parses a version path into its component segments.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.parse_version_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.search_migratable_resources

search_migratable_resources(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.migration_service.SearchMigratableResourcesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.migration_service.pagers.SearchMigratableResourcesAsyncPager
)

Searches all of the resources in automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com that can be migrated to Vertex AI's given location.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.search_migratable_resources

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.version_path

version_path(project: str, model: str, version: str) -> str

Returns a fully-qualified version string.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.version_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient

MigrationServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.migration_service.transports.base.MigrationServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the migration service client.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.exit

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.annotated_dataset_path

annotated_dataset_path(project: str, dataset: str, annotated_dataset: str) -> str

Returns a fully-qualified annotated_dataset string.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.annotated_dataset_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.batch_migrate_resources

batch_migrate_resources(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.migration_service.BatchMigrateResourcesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    migrate_resource_requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1.types.migration_service.MigrateResourceRequest
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Batch migrates resources from ml.googleapis.com, automl.googleapis.com, and datalabeling.googleapis.com to Vertex AI.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.batch_migrate_resources

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.common_location_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.common_project_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.dataset_path

dataset_path(project: str, location: str, dataset: str) -> str

Returns a fully-qualified dataset string.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.dataset_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.delete_operation

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.get_location

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.get_operation

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.list_locations

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.list_operations

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.model_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.parse_annotated_dataset_path

parse_annotated_dataset_path(path: str) -> typing.Dict[str, str]

Parses a annotated_dataset path into its component segments.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.parse_annotated_dataset_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.parse_dataset_path

parse_dataset_path(path: str) -> typing.Dict[str, str]

Parses a dataset path into its component segments.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.parse_dataset_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.parse_model_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.parse_version_path

parse_version_path(path: str) -> typing.Dict[str, str]

Parses a version path into its component segments.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.parse_version_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.search_migratable_resources

search_migratable_resources(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.migration_service.SearchMigratableResourcesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.migration_service.pagers.SearchMigratableResourcesPager
)

Searches all of the resources in automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com that can be migrated to Vertex AI's given location.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.search_migratable_resources

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.version_path

version_path(project: str, model: str, version: str) -> str

Returns a fully-qualified version string.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.version_path

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.wait_operation

google.cloud.aiplatform_v1.services.migration_service.pagers.SearchMigratableResourcesAsyncPager

SearchMigratableResourcesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.migration_service.SearchMigratableResourcesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.migration_service.SearchMigratableResourcesRequest,
    response: google.cloud.aiplatform_v1.types.migration_service.SearchMigratableResourcesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.migration_service.pagers.SearchMigratableResourcesAsyncPager

google.cloud.aiplatform_v1.services.migration_service.pagers.SearchMigratableResourcesPager

SearchMigratableResourcesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.migration_service.SearchMigratableResourcesResponse,
    ],
    request: google.cloud.aiplatform_v1.types.migration_service.SearchMigratableResourcesRequest,
    response: google.cloud.aiplatform_v1.types.migration_service.SearchMigratableResourcesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.migration_service.pagers.SearchMigratableResourcesPager

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient

ModelGardenServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.model_garden_service.transports.base.ModelGardenServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the model garden service async client.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.get_publisher_model

get_publisher_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_garden_service.GetPublisherModelRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.publisher_model.PublisherModel

Gets a Model Garden publisher model.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.get_publisher_model

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.model_garden_service.transports.base.ModelGardenServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.parse_publisher_model_path

parse_publisher_model_path(path: str) -> typing.Dict[str, str]

Parses a publisher_model path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.parse_publisher_model_path

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.publisher_model_path

publisher_model_path(publisher: str, model: str) -> str

Returns a fully-qualified publisher_model string.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.publisher_model_path

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient

ModelGardenServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.model_garden_service.transports.base.ModelGardenServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the model garden service client.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.exit

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.common_location_path

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.common_project_path

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.delete_operation

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.get_location

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.get_operation

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.get_publisher_model

get_publisher_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_garden_service.GetPublisherModelRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.publisher_model.PublisherModel

Gets a Model Garden publisher model.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.get_publisher_model

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.list_locations

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.list_operations

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.parse_publisher_model_path

parse_publisher_model_path(path: str) -> typing.Dict[str, str]

Parses a publisher_model path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.parse_publisher_model_path

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.publisher_model_path

publisher_model_path(publisher: str, model: str) -> str

Returns a fully-qualified publisher_model string.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.publisher_model_path

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.wait_operation

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient

ModelServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.model_service.transports.base.ModelServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the model service async client.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.batch_import_evaluated_annotations

batch_import_evaluated_annotations(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.BatchImportEvaluatedAnnotationsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    evaluated_annotations: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1.types.evaluated_annotation.EvaluatedAnnotation
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.model_service.BatchImportEvaluatedAnnotationsResponse
)

Imports a list of externally generated EvaluatedAnnotations.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.batch_import_evaluated_annotations

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.batch_import_model_evaluation_slices

batch_import_model_evaluation_slices(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.BatchImportModelEvaluationSlicesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    model_evaluation_slices: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1.types.model_evaluation_slice.ModelEvaluationSlice
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.model_service.BatchImportModelEvaluationSlicesResponse
)

Imports a list of externally generated ModelEvaluationSlice.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.batch_import_model_evaluation_slices

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.copy_model

copy_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.CopyModelRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    source_model: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Copies an already existing Vertex AI Model into the specified Location.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.copy_model

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.delete_model

delete_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.DeleteModelRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a Model.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.delete_model

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.delete_model_version

delete_model_version(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.DeleteModelVersionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a Model version.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.delete_model_version

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.endpoint_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.export_model

export_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.ExportModelRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    output_config: typing.Optional[
        google.cloud.aiplatform_v1.types.model_service.ExportModelRequest.OutputConfig
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Exports a trained, exportable Model to a location specified by the user.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.export_model

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.get_model

get_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.GetModelRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.model.Model

Gets a Model.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.get_model

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.get_model_evaluation

get_model_evaluation(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.GetModelEvaluationRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.model_evaluation.ModelEvaluation

Gets a ModelEvaluation.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.get_model_evaluation

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.get_model_evaluation_slice

get_model_evaluation_slice(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.GetModelEvaluationSliceRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.model_evaluation_slice.ModelEvaluationSlice

Gets a ModelEvaluationSlice.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.get_model_evaluation_slice

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.model_service.transports.base.ModelServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.import_model_evaluation

import_model_evaluation(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.ImportModelEvaluationRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    model_evaluation: typing.Optional[
        google.cloud.aiplatform_v1.types.model_evaluation.ModelEvaluation
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.model_evaluation.ModelEvaluation

Imports an externally generated ModelEvaluation.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.import_model_evaluation

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.list_model_evaluation_slices

list_model_evaluation_slices(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.ListModelEvaluationSlicesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.model_service.pagers.ListModelEvaluationSlicesAsyncPager
)

Lists ModelEvaluationSlices in a ModelEvaluation.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.list_model_evaluation_slices

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.list_model_evaluations

list_model_evaluations(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.ListModelEvaluationsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.model_service.pagers.ListModelEvaluationsAsyncPager
)

Lists ModelEvaluations in a Model.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.list_model_evaluations

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.list_model_versions

list_model_versions(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.ListModelVersionsRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.model_service.pagers.ListModelVersionsAsyncPager
)

Lists versions of the specified model.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.list_model_versions

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.list_models

list_models(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.ListModelsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.model_service.pagers.ListModelsAsyncPager

Lists Models in a Location.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.list_models

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.merge_version_aliases

merge_version_aliases(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.MergeVersionAliasesRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    version_aliases: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.model.Model

Merges a set of aliases for a Model version.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.merge_version_aliases

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.model_evaluation_path

model_evaluation_path(
    project: str, location: str, model: str, evaluation: str
) -> str

Returns a fully-qualified model_evaluation string.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.model_evaluation_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.model_evaluation_slice_path

model_evaluation_slice_path(
    project: str, location: str, model: str, evaluation: str, slice: str
) -> str

Returns a fully-qualified model_evaluation_slice string.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.model_evaluation_slice_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.model_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.parse_endpoint_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.parse_model_evaluation_path

parse_model_evaluation_path(path: str) -> typing.Dict[str, str]

Parses a model_evaluation path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.parse_model_evaluation_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.parse_model_evaluation_slice_path

parse_model_evaluation_slice_path(path: str) -> typing.Dict[str, str]

Parses a model_evaluation_slice path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.parse_model_evaluation_slice_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.parse_model_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.parse_pipeline_job_path

parse_pipeline_job_path(path: str) -> typing.Dict[str, str]

Parses a pipeline_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.parse_pipeline_job_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.parse_training_pipeline_path

parse_training_pipeline_path(path: str) -> typing.Dict[str, str]

Parses a training_pipeline path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.parse_training_pipeline_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.pipeline_job_path

pipeline_job_path(project: str, location: str, pipeline_job: str) -> str

Returns a fully-qualified pipeline_job string.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.pipeline_job_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.training_pipeline_path

training_pipeline_path(project: str, location: str, training_pipeline: str) -> str

Returns a fully-qualified training_pipeline string.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.training_pipeline_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.update_explanation_dataset

update_explanation_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.UpdateExplanationDatasetRequest,
            dict,
        ]
    ] = None,
    *,
    model: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Incrementally update the dataset used for an examples model.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.update_explanation_dataset

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.update_model

update_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.UpdateModelRequest, dict
        ]
    ] = None,
    *,
    model: typing.Optional[google.cloud.aiplatform_v1.types.model.Model] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.model.Model

Updates a Model.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.update_model

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.upload_model

upload_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.UploadModelRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    model: typing.Optional[google.cloud.aiplatform_v1.types.model.Model] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Uploads a Model artifact into Vertex AI.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.upload_model

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient

ModelServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.model_service.transports.base.ModelServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the model service client.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.exit

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.batch_import_evaluated_annotations

batch_import_evaluated_annotations(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.BatchImportEvaluatedAnnotationsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    evaluated_annotations: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1.types.evaluated_annotation.EvaluatedAnnotation
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.model_service.BatchImportEvaluatedAnnotationsResponse
)

Imports a list of externally generated EvaluatedAnnotations.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.batch_import_evaluated_annotations

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.batch_import_model_evaluation_slices

batch_import_model_evaluation_slices(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.BatchImportModelEvaluationSlicesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    model_evaluation_slices: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1.types.model_evaluation_slice.ModelEvaluationSlice
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.model_service.BatchImportModelEvaluationSlicesResponse
)

Imports a list of externally generated ModelEvaluationSlice.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.batch_import_model_evaluation_slices

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.common_location_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.common_project_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.copy_model

copy_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.CopyModelRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    source_model: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Copies an already existing Vertex AI Model into the specified Location.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.copy_model

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.delete_model

delete_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.DeleteModelRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a Model.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.delete_model

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.delete_model_version

delete_model_version(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.DeleteModelVersionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a Model version.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.delete_model_version

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.delete_operation

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.endpoint_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.export_model

export_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.ExportModelRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    output_config: typing.Optional[
        google.cloud.aiplatform_v1.types.model_service.ExportModelRequest.OutputConfig
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Exports a trained, exportable Model to a location specified by the user.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.export_model

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.get_location

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.get_model

get_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.GetModelRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.model.Model

Gets a Model.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.get_model

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.get_model_evaluation

get_model_evaluation(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.GetModelEvaluationRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.model_evaluation.ModelEvaluation

Gets a ModelEvaluation.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.get_model_evaluation

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.get_model_evaluation_slice

get_model_evaluation_slice(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.GetModelEvaluationSliceRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.model_evaluation_slice.ModelEvaluationSlice

Gets a ModelEvaluationSlice.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.get_model_evaluation_slice

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.get_operation

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.import_model_evaluation

import_model_evaluation(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.ImportModelEvaluationRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    model_evaluation: typing.Optional[
        google.cloud.aiplatform_v1.types.model_evaluation.ModelEvaluation
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.model_evaluation.ModelEvaluation

Imports an externally generated ModelEvaluation.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.import_model_evaluation

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.list_locations

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.list_model_evaluation_slices

list_model_evaluation_slices(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.ListModelEvaluationSlicesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.model_service.pagers.ListModelEvaluationSlicesPager
)

Lists ModelEvaluationSlices in a ModelEvaluation.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.list_model_evaluation_slices

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.list_model_evaluations

list_model_evaluations(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.ListModelEvaluationsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.model_service.pagers.ListModelEvaluationsPager

Lists ModelEvaluations in a Model.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.list_model_evaluations

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.list_model_versions

list_model_versions(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.ListModelVersionsRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.model_service.pagers.ListModelVersionsPager

Lists versions of the specified model.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.list_model_versions

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.list_models

list_models(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.ListModelsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.model_service.pagers.ListModelsPager

Lists Models in a Location.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.list_models

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.list_operations

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.merge_version_aliases

merge_version_aliases(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.MergeVersionAliasesRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    version_aliases: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.model.Model

Merges a set of aliases for a Model version.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.merge_version_aliases

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.model_evaluation_path

model_evaluation_path(
    project: str, location: str, model: str, evaluation: str
) -> str

Returns a fully-qualified model_evaluation string.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.model_evaluation_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.model_evaluation_slice_path

model_evaluation_slice_path(
    project: str, location: str, model: str, evaluation: str, slice: str
) -> str

Returns a fully-qualified model_evaluation_slice string.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.model_evaluation_slice_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.model_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.parse_endpoint_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.parse_model_evaluation_path

parse_model_evaluation_path(path: str) -> typing.Dict[str, str]

Parses a model_evaluation path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.parse_model_evaluation_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.parse_model_evaluation_slice_path

parse_model_evaluation_slice_path(path: str) -> typing.Dict[str, str]

Parses a model_evaluation_slice path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.parse_model_evaluation_slice_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.parse_model_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.parse_pipeline_job_path

parse_pipeline_job_path(path: str) -> typing.Dict[str, str]

Parses a pipeline_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.parse_pipeline_job_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.parse_training_pipeline_path

parse_training_pipeline_path(path: str) -> typing.Dict[str, str]

Parses a training_pipeline path into its component segments.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.parse_training_pipeline_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.pipeline_job_path

pipeline_job_path(project: str, location: str, pipeline_job: str) -> str

Returns a fully-qualified pipeline_job string.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.pipeline_job_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.training_pipeline_path

training_pipeline_path(project: str, location: str, training_pipeline: str) -> str

Returns a fully-qualified training_pipeline string.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.training_pipeline_path

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.update_explanation_dataset

update_explanation_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.UpdateExplanationDatasetRequest,
            dict,
        ]
    ] = None,
    *,
    model: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Incrementally update the dataset used for an examples model.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.update_explanation_dataset

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.update_model

update_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.UpdateModelRequest, dict
        ]
    ] = None,
    *,
    model: typing.Optional[google.cloud.aiplatform_v1.types.model.Model] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.model.Model

Updates a Model.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.update_model

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.upload_model

upload_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.model_service.UploadModelRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    model: typing.Optional[google.cloud.aiplatform_v1.types.model.Model] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Uploads a Model artifact into Vertex AI.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.upload_model

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.wait_operation

google.cloud.aiplatform_v1.services.model_service.pagers.ListModelEvaluationSlicesAsyncPager

ListModelEvaluationSlicesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.model_service.ListModelEvaluationSlicesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.model_service.ListModelEvaluationSlicesRequest,
    response: google.cloud.aiplatform_v1.types.model_service.ListModelEvaluationSlicesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.model_service.pagers.ListModelEvaluationSlicesAsyncPager

google.cloud.aiplatform_v1.services.model_service.pagers.ListModelEvaluationSlicesPager

ListModelEvaluationSlicesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.model_service.ListModelEvaluationSlicesResponse,
    ],
    request: google.cloud.aiplatform_v1.types.model_service.ListModelEvaluationSlicesRequest,
    response: google.cloud.aiplatform_v1.types.model_service.ListModelEvaluationSlicesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.model_service.pagers.ListModelEvaluationSlicesPager

google.cloud.aiplatform_v1.services.model_service.pagers.ListModelEvaluationsAsyncPager

ListModelEvaluationsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.model_service.ListModelEvaluationsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.model_service.ListModelEvaluationsRequest,
    response: google.cloud.aiplatform_v1.types.model_service.ListModelEvaluationsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.model_service.pagers.ListModelEvaluationsAsyncPager

google.cloud.aiplatform_v1.services.model_service.pagers.ListModelEvaluationsPager

ListModelEvaluationsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.model_service.ListModelEvaluationsResponse,
    ],
    request: google.cloud.aiplatform_v1.types.model_service.ListModelEvaluationsRequest,
    response: google.cloud.aiplatform_v1.types.model_service.ListModelEvaluationsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.model_service.pagers.ListModelEvaluationsPager

google.cloud.aiplatform_v1.services.model_service.pagers.ListModelVersionsAsyncPager

ListModelVersionsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.model_service.ListModelVersionsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.model_service.ListModelVersionsRequest,
    response: google.cloud.aiplatform_v1.types.model_service.ListModelVersionsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.model_service.pagers.ListModelVersionsAsyncPager

google.cloud.aiplatform_v1.services.model_service.pagers.ListModelVersionsPager

ListModelVersionsPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1.types.model_service.ListModelVersionsResponse
    ],
    request: google.cloud.aiplatform_v1.types.model_service.ListModelVersionsRequest,
    response: google.cloud.aiplatform_v1.types.model_service.ListModelVersionsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.model_service.pagers.ListModelVersionsPager

google.cloud.aiplatform_v1.services.model_service.pagers.ListModelsAsyncPager

ListModelsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.model_service.ListModelsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.model_service.ListModelsRequest,
    response: google.cloud.aiplatform_v1.types.model_service.ListModelsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.model_service.pagers.ListModelsAsyncPager

google.cloud.aiplatform_v1.services.model_service.pagers.ListModelsPager

ListModelsPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1.types.model_service.ListModelsResponse
    ],
    request: google.cloud.aiplatform_v1.types.model_service.ListModelsRequest,
    response: google.cloud.aiplatform_v1.types.model_service.ListModelsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.model_service.pagers.ListModelsPager

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient

NotebookServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.notebook_service.transports.base.NotebookServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the notebook service async client.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.assign_notebook_runtime

assign_notebook_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.notebook_service.AssignNotebookRuntimeRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    notebook_runtime_template: typing.Optional[str] = None,
    notebook_runtime: typing.Optional[
        google.cloud.aiplatform_v1.types.notebook_runtime.NotebookRuntime
    ] = None,
    notebook_runtime_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Assigns a NotebookRuntime to a user for a particular Notebook file.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.assign_notebook_runtime

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.create_notebook_runtime_template

create_notebook_runtime_template(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.notebook_service.CreateNotebookRuntimeTemplateRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    notebook_runtime_template: typing.Optional[
        google.cloud.aiplatform_v1.types.notebook_runtime.NotebookRuntimeTemplate
    ] = None,
    notebook_runtime_template_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a NotebookRuntimeTemplate.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.create_notebook_runtime_template

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.delete_notebook_runtime

delete_notebook_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.notebook_service.DeleteNotebookRuntimeRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a NotebookRuntime.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.delete_notebook_runtime

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.delete_notebook_runtime_template

delete_notebook_runtime_template(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.notebook_service.DeleteNotebookRuntimeTemplateRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a NotebookRuntimeTemplate.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.delete_notebook_runtime_template

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.get_notebook_runtime

get_notebook_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.notebook_service.GetNotebookRuntimeRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.notebook_runtime.NotebookRuntime

Gets a NotebookRuntime.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.get_notebook_runtime

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.get_notebook_runtime_template

get_notebook_runtime_template(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.notebook_service.GetNotebookRuntimeTemplateRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.notebook_runtime.NotebookRuntimeTemplate

Gets a NotebookRuntimeTemplate.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.get_notebook_runtime_template

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.notebook_service.transports.base.NotebookServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.list_notebook_runtime_templates

list_notebook_runtime_templates(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimeTemplatesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.notebook_service.pagers.ListNotebookRuntimeTemplatesAsyncPager
)

Lists NotebookRuntimeTemplates in a Location.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.list_notebook_runtime_templates

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.list_notebook_runtimes

list_notebook_runtimes(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.notebook_service.pagers.ListNotebookRuntimesAsyncPager
)

Lists NotebookRuntimes in a Location.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.list_notebook_runtimes

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.network_path

network_path(project: str, network: str) -> str

Returns a fully-qualified network string.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.network_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.notebook_runtime_path

notebook_runtime_path(project: str, location: str, notebook_runtime: str) -> str

Returns a fully-qualified notebook_runtime string.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.notebook_runtime_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.notebook_runtime_template_path

notebook_runtime_template_path(
    project: str, location: str, notebook_runtime_template: str
) -> str

Returns a fully-qualified notebook_runtime_template string.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.notebook_runtime_template_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.parse_network_path

parse_network_path(path: str) -> typing.Dict[str, str]

Parses a network path into its component segments.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.parse_network_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.parse_notebook_runtime_path

parse_notebook_runtime_path(path: str) -> typing.Dict[str, str]

Parses a notebook_runtime path into its component segments.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.parse_notebook_runtime_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.parse_notebook_runtime_template_path

parse_notebook_runtime_template_path(path: str) -> typing.Dict[str, str]

Parses a notebook_runtime_template path into its component segments.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.parse_notebook_runtime_template_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.parse_subnetwork_path

parse_subnetwork_path(path: str) -> typing.Dict[str, str]

Parses a subnetwork path into its component segments.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.parse_subnetwork_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.start_notebook_runtime

start_notebook_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.notebook_service.StartNotebookRuntimeRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Starts a NotebookRuntime.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.start_notebook_runtime

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.subnetwork_path

subnetwork_path(project: str, region: str, subnetwork: str) -> str

Returns a fully-qualified subnetwork string.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.subnetwork_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.upgrade_notebook_runtime

upgrade_notebook_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.notebook_service.UpgradeNotebookRuntimeRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Upgrades a NotebookRuntime.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.upgrade_notebook_runtime

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient

NotebookServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.notebook_service.transports.base.NotebookServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the notebook service client.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.exit

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.assign_notebook_runtime

assign_notebook_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.notebook_service.AssignNotebookRuntimeRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    notebook_runtime_template: typing.Optional[str] = None,
    notebook_runtime: typing.Optional[
        google.cloud.aiplatform_v1.types.notebook_runtime.NotebookRuntime
    ] = None,
    notebook_runtime_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Assigns a NotebookRuntime to a user for a particular Notebook file.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.assign_notebook_runtime

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.common_location_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.common_project_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.create_notebook_runtime_template

create_notebook_runtime_template(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.notebook_service.CreateNotebookRuntimeTemplateRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    notebook_runtime_template: typing.Optional[
        google.cloud.aiplatform_v1.types.notebook_runtime.NotebookRuntimeTemplate
    ] = None,
    notebook_runtime_template_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a NotebookRuntimeTemplate.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.create_notebook_runtime_template

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.delete_notebook_runtime

delete_notebook_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.notebook_service.DeleteNotebookRuntimeRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a NotebookRuntime.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.delete_notebook_runtime

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.delete_notebook_runtime_template

delete_notebook_runtime_template(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.notebook_service.DeleteNotebookRuntimeTemplateRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a NotebookRuntimeTemplate.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.delete_notebook_runtime_template

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.delete_operation

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.get_location

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.get_notebook_runtime

get_notebook_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.notebook_service.GetNotebookRuntimeRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.notebook_runtime.NotebookRuntime

Gets a NotebookRuntime.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.get_notebook_runtime

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.get_notebook_runtime_template

get_notebook_runtime_template(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.notebook_service.GetNotebookRuntimeTemplateRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.notebook_runtime.NotebookRuntimeTemplate

Gets a NotebookRuntimeTemplate.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.get_notebook_runtime_template

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.get_operation

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.list_locations

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.list_notebook_runtime_templates

list_notebook_runtime_templates(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimeTemplatesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.notebook_service.pagers.ListNotebookRuntimeTemplatesPager
)

Lists NotebookRuntimeTemplates in a Location.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.list_notebook_runtime_templates

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.list_notebook_runtimes

list_notebook_runtimes(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.notebook_service.pagers.ListNotebookRuntimesPager
)

Lists NotebookRuntimes in a Location.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.list_notebook_runtimes

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.list_operations

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.network_path

network_path(project: str, network: str) -> str

Returns a fully-qualified network string.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.network_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.notebook_runtime_path

notebook_runtime_path(project: str, location: str, notebook_runtime: str) -> str

Returns a fully-qualified notebook_runtime string.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.notebook_runtime_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.notebook_runtime_template_path

notebook_runtime_template_path(
    project: str, location: str, notebook_runtime_template: str
) -> str

Returns a fully-qualified notebook_runtime_template string.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.notebook_runtime_template_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.parse_network_path

parse_network_path(path: str) -> typing.Dict[str, str]

Parses a network path into its component segments.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.parse_network_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.parse_notebook_runtime_path

parse_notebook_runtime_path(path: str) -> typing.Dict[str, str]

Parses a notebook_runtime path into its component segments.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.parse_notebook_runtime_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.parse_notebook_runtime_template_path

parse_notebook_runtime_template_path(path: str) -> typing.Dict[str, str]

Parses a notebook_runtime_template path into its component segments.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.parse_notebook_runtime_template_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.parse_subnetwork_path

parse_subnetwork_path(path: str) -> typing.Dict[str, str]

Parses a subnetwork path into its component segments.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.parse_subnetwork_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.start_notebook_runtime

start_notebook_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.notebook_service.StartNotebookRuntimeRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Starts a NotebookRuntime.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.start_notebook_runtime

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.subnetwork_path

subnetwork_path(project: str, region: str, subnetwork: str) -> str

Returns a fully-qualified subnetwork string.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.subnetwork_path

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.upgrade_notebook_runtime

upgrade_notebook_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.notebook_service.UpgradeNotebookRuntimeRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Upgrades a NotebookRuntime.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.upgrade_notebook_runtime

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.wait_operation

google.cloud.aiplatform_v1.services.notebook_service.pagers.ListNotebookRuntimeTemplatesAsyncPager

ListNotebookRuntimeTemplatesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimeTemplatesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimeTemplatesRequest,
    response: google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimeTemplatesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.notebook_service.pagers.ListNotebookRuntimeTemplatesAsyncPager

google.cloud.aiplatform_v1.services.notebook_service.pagers.ListNotebookRuntimeTemplatesPager

ListNotebookRuntimeTemplatesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimeTemplatesResponse,
    ],
    request: google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimeTemplatesRequest,
    response: google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimeTemplatesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.notebook_service.pagers.ListNotebookRuntimeTemplatesPager

google.cloud.aiplatform_v1.services.notebook_service.pagers.ListNotebookRuntimesAsyncPager

ListNotebookRuntimesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimesRequest,
    response: google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.notebook_service.pagers.ListNotebookRuntimesAsyncPager

google.cloud.aiplatform_v1.services.notebook_service.pagers.ListNotebookRuntimesPager

ListNotebookRuntimesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimesResponse,
    ],
    request: google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimesRequest,
    response: google.cloud.aiplatform_v1.types.notebook_service.ListNotebookRuntimesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.notebook_service.pagers.ListNotebookRuntimesPager

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient

PersistentResourceServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.persistent_resource_service.transports.base.PersistentResourceServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the persistent resource service async client.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.create_persistent_resource

create_persistent_resource(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.persistent_resource_service.CreatePersistentResourceRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    persistent_resource: typing.Optional[
        google.cloud.aiplatform_v1.types.persistent_resource.PersistentResource
    ] = None,
    persistent_resource_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a PersistentResource.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.create_persistent_resource

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.delete_persistent_resource

delete_persistent_resource(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.persistent_resource_service.DeletePersistentResourceRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a PersistentResource.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.delete_persistent_resource

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.get_persistent_resource

get_persistent_resource(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.persistent_resource_service.GetPersistentResourceRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.persistent_resource.PersistentResource

Gets a PersistentResource.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.get_persistent_resource

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.persistent_resource_service.transports.base.PersistentResourceServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.list_persistent_resources

list_persistent_resources(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.persistent_resource_service.ListPersistentResourcesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.persistent_resource_service.pagers.ListPersistentResourcesAsyncPager
)

Lists PersistentResources in a Location.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.list_persistent_resources

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.network_path

network_path(project: str, network: str) -> str

Returns a fully-qualified network string.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.network_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_network_path

parse_network_path(path: str) -> typing.Dict[str, str]

Parses a network path into its component segments.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_network_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_persistent_resource_path

parse_persistent_resource_path(path: str) -> typing.Dict[str, str]

Parses a persistent_resource path into its component segments.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_persistent_resource_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.persistent_resource_path

persistent_resource_path(
    project: str, location: str, persistent_resource: str
) -> str

Returns a fully-qualified persistent_resource string.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.persistent_resource_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.reboot_persistent_resource

reboot_persistent_resource(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.persistent_resource_service.RebootPersistentResourceRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Reboots a PersistentResource.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.reboot_persistent_resource

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.update_persistent_resource

update_persistent_resource(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.persistent_resource_service.UpdatePersistentResourceRequest,
            dict,
        ]
    ] = None,
    *,
    persistent_resource: typing.Optional[
        google.cloud.aiplatform_v1.types.persistent_resource.PersistentResource
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates a PersistentResource.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.update_persistent_resource

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient

PersistentResourceServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.persistent_resource_service.transports.base.PersistentResourceServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the persistent resource service client.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.exit

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.common_location_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.common_project_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.create_persistent_resource

create_persistent_resource(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.persistent_resource_service.CreatePersistentResourceRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    persistent_resource: typing.Optional[
        google.cloud.aiplatform_v1.types.persistent_resource.PersistentResource
    ] = None,
    persistent_resource_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a PersistentResource.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.create_persistent_resource

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.delete_operation

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.delete_persistent_resource

delete_persistent_resource(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.persistent_resource_service.DeletePersistentResourceRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a PersistentResource.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.delete_persistent_resource

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.get_location

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.get_operation

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.get_persistent_resource

get_persistent_resource(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.persistent_resource_service.GetPersistentResourceRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.persistent_resource.PersistentResource

Gets a PersistentResource.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.get_persistent_resource

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.list_locations

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.list_operations

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.list_persistent_resources

list_persistent_resources(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.persistent_resource_service.ListPersistentResourcesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.persistent_resource_service.pagers.ListPersistentResourcesPager
)

Lists PersistentResources in a Location.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.list_persistent_resources

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.network_path

network_path(project: str, network: str) -> str

Returns a fully-qualified network string.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.network_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.parse_network_path

parse_network_path(path: str) -> typing.Dict[str, str]

Parses a network path into its component segments.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.parse_network_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.parse_persistent_resource_path

parse_persistent_resource_path(path: str) -> typing.Dict[str, str]

Parses a persistent_resource path into its component segments.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.parse_persistent_resource_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.persistent_resource_path

persistent_resource_path(
    project: str, location: str, persistent_resource: str
) -> str

Returns a fully-qualified persistent_resource string.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.persistent_resource_path

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.reboot_persistent_resource

reboot_persistent_resource(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.persistent_resource_service.RebootPersistentResourceRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Reboots a PersistentResource.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.reboot_persistent_resource

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.update_persistent_resource

update_persistent_resource(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.persistent_resource_service.UpdatePersistentResourceRequest,
            dict,
        ]
    ] = None,
    *,
    persistent_resource: typing.Optional[
        google.cloud.aiplatform_v1.types.persistent_resource.PersistentResource
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates a PersistentResource.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.update_persistent_resource

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.wait_operation

google.cloud.aiplatform_v1.services.persistent_resource_service.pagers.ListPersistentResourcesAsyncPager

ListPersistentResourcesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.persistent_resource_service.ListPersistentResourcesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.persistent_resource_service.ListPersistentResourcesRequest,
    response: google.cloud.aiplatform_v1.types.persistent_resource_service.ListPersistentResourcesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.pagers.ListPersistentResourcesAsyncPager

google.cloud.aiplatform_v1.services.persistent_resource_service.pagers.ListPersistentResourcesPager

ListPersistentResourcesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.persistent_resource_service.ListPersistentResourcesResponse,
    ],
    request: google.cloud.aiplatform_v1.types.persistent_resource_service.ListPersistentResourcesRequest,
    response: google.cloud.aiplatform_v1.types.persistent_resource_service.ListPersistentResourcesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.persistent_resource_service.pagers.ListPersistentResourcesPager

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient

PipelineServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.pipeline_service.transports.base.PipelineServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the pipeline service async client.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.artifact_path

artifact_path(
    project: str, location: str, metadata_store: str, artifact: str
) -> str

Returns a fully-qualified artifact string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.artifact_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.batch_cancel_pipeline_jobs

batch_cancel_pipeline_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.pipeline_service.BatchCancelPipelineJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    names: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Batch cancel PipelineJobs.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.batch_cancel_pipeline_jobs

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.batch_delete_pipeline_jobs

batch_delete_pipeline_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.pipeline_service.BatchDeletePipelineJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    names: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Batch deletes PipelineJobs The Operation is atomic.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.batch_delete_pipeline_jobs

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.cancel_pipeline_job

cancel_pipeline_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.pipeline_service.CancelPipelineJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a PipelineJob.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.cancel_pipeline_job

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.cancel_training_pipeline

cancel_training_pipeline(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.pipeline_service.CancelTrainingPipelineRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a TrainingPipeline.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.cancel_training_pipeline

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.context_path

context_path(project: str, location: str, metadata_store: str, context: str) -> str

Returns a fully-qualified context string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.context_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.create_pipeline_job

create_pipeline_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.pipeline_service.CreatePipelineJobRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    pipeline_job: typing.Optional[
        google.cloud.aiplatform_v1.types.pipeline_job.PipelineJob
    ] = None,
    pipeline_job_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.pipeline_job.PipelineJob

Creates a PipelineJob.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.create_pipeline_job

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.create_training_pipeline

create_training_pipeline(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.pipeline_service.CreateTrainingPipelineRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    training_pipeline: typing.Optional[
        google.cloud.aiplatform_v1.types.training_pipeline.TrainingPipeline
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.training_pipeline.TrainingPipeline

Creates a TrainingPipeline.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.create_training_pipeline

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.custom_job_path

custom_job_path(project: str, location: str, custom_job: str) -> str

Returns a fully-qualified custom_job string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.custom_job_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.delete_pipeline_job

delete_pipeline_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.pipeline_service.DeletePipelineJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a PipelineJob.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.delete_pipeline_job

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.delete_training_pipeline

delete_training_pipeline(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.pipeline_service.DeleteTrainingPipelineRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a TrainingPipeline.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.delete_training_pipeline

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.endpoint_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.execution_path

execution_path(
    project: str, location: str, metadata_store: str, execution: str
) -> str

Returns a fully-qualified execution string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.execution_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.get_pipeline_job

get_pipeline_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.pipeline_service.GetPipelineJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.pipeline_job.PipelineJob

Gets a PipelineJob.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.get_pipeline_job

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.get_training_pipeline

get_training_pipeline(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.pipeline_service.GetTrainingPipelineRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.training_pipeline.TrainingPipeline

Gets a TrainingPipeline.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.get_training_pipeline

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.pipeline_service.transports.base.PipelineServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.list_pipeline_jobs

list_pipeline_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.pipeline_service.ListPipelineJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.pipeline_service.pagers.ListPipelineJobsAsyncPager
)

Lists PipelineJobs in a Location.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.list_pipeline_jobs

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.list_training_pipelines

list_training_pipelines(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.pipeline_service.ListTrainingPipelinesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.pipeline_service.pagers.ListTrainingPipelinesAsyncPager
)

Lists TrainingPipelines in a Location.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.list_training_pipelines

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.model_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.network_path

network_path(project: str, network: str) -> str

Returns a fully-qualified network string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.network_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_artifact_path

parse_artifact_path(path: str) -> typing.Dict[str, str]

Parses a artifact path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_artifact_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_context_path

parse_context_path(path: str) -> typing.Dict[str, str]

Parses a context path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_context_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_custom_job_path

parse_custom_job_path(path: str) -> typing.Dict[str, str]

Parses a custom_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_custom_job_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_endpoint_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_execution_path

parse_execution_path(path: str) -> typing.Dict[str, str]

Parses a execution path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_execution_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_model_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_network_path

parse_network_path(path: str) -> typing.Dict[str, str]

Parses a network path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_network_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_pipeline_job_path

parse_pipeline_job_path(path: str) -> typing.Dict[str, str]

Parses a pipeline_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_pipeline_job_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_training_pipeline_path

parse_training_pipeline_path(path: str) -> typing.Dict[str, str]

Parses a training_pipeline path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.parse_training_pipeline_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.pipeline_job_path

pipeline_job_path(project: str, location: str, pipeline_job: str) -> str

Returns a fully-qualified pipeline_job string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.pipeline_job_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.training_pipeline_path

training_pipeline_path(project: str, location: str, training_pipeline: str) -> str

Returns a fully-qualified training_pipeline string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.training_pipeline_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient

PipelineServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.pipeline_service.transports.base.PipelineServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the pipeline service client.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.exit

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.artifact_path

artifact_path(
    project: str, location: str, metadata_store: str, artifact: str
) -> str

Returns a fully-qualified artifact string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.artifact_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.batch_cancel_pipeline_jobs

batch_cancel_pipeline_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.pipeline_service.BatchCancelPipelineJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    names: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Batch cancel PipelineJobs.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.batch_cancel_pipeline_jobs

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.batch_delete_pipeline_jobs

batch_delete_pipeline_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.pipeline_service.BatchDeletePipelineJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    names: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Batch deletes PipelineJobs The Operation is atomic.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.batch_delete_pipeline_jobs

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.cancel_pipeline_job

cancel_pipeline_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.pipeline_service.CancelPipelineJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a PipelineJob.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.cancel_pipeline_job

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.cancel_training_pipeline

cancel_training_pipeline(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.pipeline_service.CancelTrainingPipelineRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a TrainingPipeline.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.cancel_training_pipeline

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.common_location_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.common_project_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.context_path

context_path(project: str, location: str, metadata_store: str, context: str) -> str

Returns a fully-qualified context string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.context_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.create_pipeline_job

create_pipeline_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.pipeline_service.CreatePipelineJobRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    pipeline_job: typing.Optional[
        google.cloud.aiplatform_v1.types.pipeline_job.PipelineJob
    ] = None,
    pipeline_job_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.pipeline_job.PipelineJob

Creates a PipelineJob.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.create_pipeline_job

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.create_training_pipeline

create_training_pipeline(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.pipeline_service.CreateTrainingPipelineRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    training_pipeline: typing.Optional[
        google.cloud.aiplatform_v1.types.training_pipeline.TrainingPipeline
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.training_pipeline.TrainingPipeline

Creates a TrainingPipeline.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.create_training_pipeline

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.custom_job_path

custom_job_path(project: str, location: str, custom_job: str) -> str

Returns a fully-qualified custom_job string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.custom_job_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.delete_operation

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.delete_pipeline_job

delete_pipeline_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.pipeline_service.DeletePipelineJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a PipelineJob.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.delete_pipeline_job

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.delete_training_pipeline

delete_training_pipeline(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.pipeline_service.DeleteTrainingPipelineRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a TrainingPipeline.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.delete_training_pipeline

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.endpoint_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.execution_path

execution_path(
    project: str, location: str, metadata_store: str, execution: str
) -> str

Returns a fully-qualified execution string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.execution_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.get_location

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.get_operation

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.get_pipeline_job

get_pipeline_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.pipeline_service.GetPipelineJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.pipeline_job.PipelineJob

Gets a PipelineJob.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.get_pipeline_job

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.get_training_pipeline

get_training_pipeline(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.pipeline_service.GetTrainingPipelineRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.training_pipeline.TrainingPipeline

Gets a TrainingPipeline.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.get_training_pipeline

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.list_locations

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.list_operations

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.list_pipeline_jobs

list_pipeline_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.pipeline_service.ListPipelineJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.pipeline_service.pagers.ListPipelineJobsPager

Lists PipelineJobs in a Location.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.list_pipeline_jobs

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.list_training_pipelines

list_training_pipelines(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.pipeline_service.ListTrainingPipelinesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.pipeline_service.pagers.ListTrainingPipelinesPager
)

Lists TrainingPipelines in a Location.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.list_training_pipelines

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.model_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.network_path

network_path(project: str, network: str) -> str

Returns a fully-qualified network string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.network_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_artifact_path

parse_artifact_path(path: str) -> typing.Dict[str, str]

Parses a artifact path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_artifact_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_context_path

parse_context_path(path: str) -> typing.Dict[str, str]

Parses a context path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_context_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_custom_job_path

parse_custom_job_path(path: str) -> typing.Dict[str, str]

Parses a custom_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_custom_job_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_endpoint_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_execution_path

parse_execution_path(path: str) -> typing.Dict[str, str]

Parses a execution path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_execution_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_model_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_network_path

parse_network_path(path: str) -> typing.Dict[str, str]

Parses a network path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_network_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_pipeline_job_path

parse_pipeline_job_path(path: str) -> typing.Dict[str, str]

Parses a pipeline_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_pipeline_job_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_training_pipeline_path

parse_training_pipeline_path(path: str) -> typing.Dict[str, str]

Parses a training_pipeline path into its component segments.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.parse_training_pipeline_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.pipeline_job_path

pipeline_job_path(project: str, location: str, pipeline_job: str) -> str

Returns a fully-qualified pipeline_job string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.pipeline_job_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.training_pipeline_path

training_pipeline_path(project: str, location: str, training_pipeline: str) -> str

Returns a fully-qualified training_pipeline string.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.training_pipeline_path

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.wait_operation

google.cloud.aiplatform_v1.services.pipeline_service.pagers.ListPipelineJobsAsyncPager

ListPipelineJobsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.pipeline_service.ListPipelineJobsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.pipeline_service.ListPipelineJobsRequest,
    response: google.cloud.aiplatform_v1.types.pipeline_service.ListPipelineJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.pipeline_service.pagers.ListPipelineJobsAsyncPager

google.cloud.aiplatform_v1.services.pipeline_service.pagers.ListPipelineJobsPager

ListPipelineJobsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.pipeline_service.ListPipelineJobsResponse,
    ],
    request: google.cloud.aiplatform_v1.types.pipeline_service.ListPipelineJobsRequest,
    response: google.cloud.aiplatform_v1.types.pipeline_service.ListPipelineJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.pipeline_service.pagers.ListPipelineJobsPager

google.cloud.aiplatform_v1.services.pipeline_service.pagers.ListTrainingPipelinesAsyncPager

ListTrainingPipelinesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.pipeline_service.ListTrainingPipelinesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.pipeline_service.ListTrainingPipelinesRequest,
    response: google.cloud.aiplatform_v1.types.pipeline_service.ListTrainingPipelinesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.pipeline_service.pagers.ListTrainingPipelinesAsyncPager

google.cloud.aiplatform_v1.services.pipeline_service.pagers.ListTrainingPipelinesPager

ListTrainingPipelinesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.pipeline_service.ListTrainingPipelinesResponse,
    ],
    request: google.cloud.aiplatform_v1.types.pipeline_service.ListTrainingPipelinesRequest,
    response: google.cloud.aiplatform_v1.types.pipeline_service.ListTrainingPipelinesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.pipeline_service.pagers.ListTrainingPipelinesPager

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient

PredictionServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.prediction_service.transports.base.PredictionServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the prediction service async client.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.direct_predict

direct_predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.prediction_service.DirectPredictRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.prediction_service.DirectPredictResponse

Perform an unary online prediction request to a gRPC model server for Vertex first-party products and frameworks.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.direct_predict

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.direct_raw_predict

direct_raw_predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.prediction_service.DirectRawPredictRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.prediction_service.DirectRawPredictResponse

Perform an unary online prediction request to a gRPC model server for custom containers.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.direct_raw_predict

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.endpoint_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.explain

explain(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.prediction_service.ExplainRequest, dict
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    instances: typing.Optional[
        typing.MutableSequence[google.protobuf.struct_pb2.Value]
    ] = None,
    parameters: typing.Optional[google.protobuf.struct_pb2.Value] = None,
    deployed_model_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.prediction_service.ExplainResponse

Perform an online explanation.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.explain

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.generate_content

generate_content(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.prediction_service.GenerateContentRequest,
            dict,
        ]
    ] = None,
    *,
    model: typing.Optional[str] = None,
    contents: typing.Optional[
        typing.MutableSequence[google.cloud.aiplatform_v1.types.content.Content]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.prediction_service.GenerateContentResponse

Generate content with multimodal inputs.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.generate_content

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.prediction_service.transports.base.PredictionServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.model_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.parse_endpoint_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.parse_model_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.predict

predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.prediction_service.PredictRequest, dict
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    instances: typing.Optional[
        typing.MutableSequence[google.protobuf.struct_pb2.Value]
    ] = None,
    parameters: typing.Optional[google.protobuf.struct_pb2.Value] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.prediction_service.PredictResponse

Perform an online prediction.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.predict

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.raw_predict

raw_predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.prediction_service.RawPredictRequest, dict
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    http_body: typing.Optional[google.api.httpbody_pb2.HttpBody] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api.httpbody_pb2.HttpBody

Perform an online prediction with an arbitrary HTTP payload.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.raw_predict

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.server_streaming_predict

server_streaming_predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.prediction_service.StreamingPredictRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Awaitable[
    typing.AsyncIterable[
        google.cloud.aiplatform_v1.types.prediction_service.StreamingPredictResponse
    ]
]

Perform a server-side streaming online prediction request for Vertex LLM streaming.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.server_streaming_predict

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.stream_direct_predict

stream_direct_predict(
    requests: typing.Optional[
        typing.AsyncIterator[
            google.cloud.aiplatform_v1.types.prediction_service.StreamDirectPredictRequest
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Awaitable[
    typing.AsyncIterable[
        google.cloud.aiplatform_v1.types.prediction_service.StreamDirectPredictResponse
    ]
]

Perform a streaming online prediction request to a gRPC model server for Vertex first-party products and frameworks.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.stream_direct_predict

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.stream_direct_raw_predict

stream_direct_raw_predict(
    requests: typing.Optional[
        typing.AsyncIterator[
            google.cloud.aiplatform_v1.types.prediction_service.StreamDirectRawPredictRequest
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Awaitable[
    typing.AsyncIterable[
        google.cloud.aiplatform_v1.types.prediction_service.StreamDirectRawPredictResponse
    ]
]

Perform a streaming online prediction request to a gRPC model server for custom containers.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.stream_direct_raw_predict

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.stream_generate_content

stream_generate_content(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.prediction_service.GenerateContentRequest,
            dict,
        ]
    ] = None,
    *,
    model: typing.Optional[str] = None,
    contents: typing.Optional[
        typing.MutableSequence[google.cloud.aiplatform_v1.types.content.Content]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Awaitable[
    typing.AsyncIterable[
        google.cloud.aiplatform_v1.types.prediction_service.GenerateContentResponse
    ]
]

Generate content with multimodal inputs with streaming support.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.stream_generate_content

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.stream_raw_predict

stream_raw_predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.prediction_service.StreamRawPredictRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    http_body: typing.Optional[google.api.httpbody_pb2.HttpBody] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Awaitable[typing.AsyncIterable[google.api.httpbody_pb2.HttpBody]]

Perform a streaming online prediction with an arbitrary HTTP payload.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.stream_raw_predict

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.streaming_predict

streaming_predict(
    requests: typing.Optional[
        typing.AsyncIterator[
            google.cloud.aiplatform_v1.types.prediction_service.StreamingPredictRequest
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Awaitable[
    typing.AsyncIterable[
        google.cloud.aiplatform_v1.types.prediction_service.StreamingPredictResponse
    ]
]

Perform a streaming online prediction request for Vertex first-party products and frameworks.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.streaming_predict

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.streaming_raw_predict

streaming_raw_predict(
    requests: typing.Optional[
        typing.AsyncIterator[
            google.cloud.aiplatform_v1.types.prediction_service.StreamingRawPredictRequest
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Awaitable[
    typing.AsyncIterable[
        google.cloud.aiplatform_v1.types.prediction_service.StreamingRawPredictResponse
    ]
]

Perform a streaming online prediction request through gRPC.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.streaming_raw_predict

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient

PredictionServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.prediction_service.transports.base.PredictionServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the prediction service client.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.exit

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.common_location_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.common_project_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.delete_operation

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.direct_predict

direct_predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.prediction_service.DirectPredictRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.prediction_service.DirectPredictResponse

Perform an unary online prediction request to a gRPC model server for Vertex first-party products and frameworks.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.direct_predict

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.direct_raw_predict

direct_raw_predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.prediction_service.DirectRawPredictRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.prediction_service.DirectRawPredictResponse

Perform an unary online prediction request to a gRPC model server for custom containers.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.direct_raw_predict

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.endpoint_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.explain

explain(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.prediction_service.ExplainRequest, dict
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    instances: typing.Optional[
        typing.MutableSequence[google.protobuf.struct_pb2.Value]
    ] = None,
    parameters: typing.Optional[google.protobuf.struct_pb2.Value] = None,
    deployed_model_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.prediction_service.ExplainResponse

Perform an online explanation.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.explain

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.generate_content

generate_content(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.prediction_service.GenerateContentRequest,
            dict,
        ]
    ] = None,
    *,
    model: typing.Optional[str] = None,
    contents: typing.Optional[
        typing.MutableSequence[google.cloud.aiplatform_v1.types.content.Content]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.prediction_service.GenerateContentResponse

Generate content with multimodal inputs.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.generate_content

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.get_location

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.get_operation

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.list_locations

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.list_operations

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.model_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.parse_endpoint_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.parse_model_path

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.predict

predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.prediction_service.PredictRequest, dict
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    instances: typing.Optional[
        typing.MutableSequence[google.protobuf.struct_pb2.Value]
    ] = None,
    parameters: typing.Optional[google.protobuf.struct_pb2.Value] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.prediction_service.PredictResponse

Perform an online prediction.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.predict

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.raw_predict

raw_predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.prediction_service.RawPredictRequest, dict
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    http_body: typing.Optional[google.api.httpbody_pb2.HttpBody] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api.httpbody_pb2.HttpBody

Perform an online prediction with an arbitrary HTTP payload.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.raw_predict

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.server_streaming_predict

server_streaming_predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.prediction_service.StreamingPredictRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Iterable[
    google.cloud.aiplatform_v1.types.prediction_service.StreamingPredictResponse
]

Perform a server-side streaming online prediction request for Vertex LLM streaming.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.server_streaming_predict

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.stream_direct_predict

stream_direct_predict(
    requests: typing.Optional[
        typing.Iterator[
            google.cloud.aiplatform_v1.types.prediction_service.StreamDirectPredictRequest
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Iterable[
    google.cloud.aiplatform_v1.types.prediction_service.StreamDirectPredictResponse
]

Perform a streaming online prediction request to a gRPC model server for Vertex first-party products and frameworks.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.stream_direct_predict

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.stream_direct_raw_predict

stream_direct_raw_predict(
    requests: typing.Optional[
        typing.Iterator[
            google.cloud.aiplatform_v1.types.prediction_service.StreamDirectRawPredictRequest
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Iterable[
    google.cloud.aiplatform_v1.types.prediction_service.StreamDirectRawPredictResponse
]

Perform a streaming online prediction request to a gRPC model server for custom containers.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.stream_direct_raw_predict

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.stream_generate_content

stream_generate_content(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.prediction_service.GenerateContentRequest,
            dict,
        ]
    ] = None,
    *,
    model: typing.Optional[str] = None,
    contents: typing.Optional[
        typing.MutableSequence[google.cloud.aiplatform_v1.types.content.Content]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Iterable[
    google.cloud.aiplatform_v1.types.prediction_service.GenerateContentResponse
]

Generate content with multimodal inputs with streaming support.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.stream_generate_content

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.stream_raw_predict

stream_raw_predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.prediction_service.StreamRawPredictRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    http_body: typing.Optional[google.api.httpbody_pb2.HttpBody] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Iterable[google.api.httpbody_pb2.HttpBody]

Perform a streaming online prediction with an arbitrary HTTP payload.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.stream_raw_predict

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.streaming_predict

streaming_predict(
    requests: typing.Optional[
        typing.Iterator[
            google.cloud.aiplatform_v1.types.prediction_service.StreamingPredictRequest
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Iterable[
    google.cloud.aiplatform_v1.types.prediction_service.StreamingPredictResponse
]

Perform a streaming online prediction request for Vertex first-party products and frameworks.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.streaming_predict

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.streaming_raw_predict

streaming_raw_predict(
    requests: typing.Optional[
        typing.Iterator[
            google.cloud.aiplatform_v1.types.prediction_service.StreamingRawPredictRequest
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Iterable[
    google.cloud.aiplatform_v1.types.prediction_service.StreamingRawPredictResponse
]

Perform a streaming online prediction request through gRPC.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.streaming_raw_predict

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.wait_operation

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient

ScheduleServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.schedule_service.transports.base.ScheduleServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the schedule service async client.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.artifact_path

artifact_path(
    project: str, location: str, metadata_store: str, artifact: str
) -> str

Returns a fully-qualified artifact string.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.artifact_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.context_path

context_path(project: str, location: str, metadata_store: str, context: str) -> str

Returns a fully-qualified context string.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.context_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.create_schedule

create_schedule(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.schedule_service.CreateScheduleRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    schedule: typing.Optional[
        google.cloud.aiplatform_v1.types.schedule.Schedule
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.schedule.Schedule

Creates a Schedule.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.create_schedule

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.custom_job_path

custom_job_path(project: str, location: str, custom_job: str) -> str

Returns a fully-qualified custom_job string.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.custom_job_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.delete_schedule

delete_schedule(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.schedule_service.DeleteScheduleRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a Schedule.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.delete_schedule

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.execution_path

execution_path(
    project: str, location: str, metadata_store: str, execution: str
) -> str

Returns a fully-qualified execution string.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.execution_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.get_schedule

get_schedule(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.schedule_service.GetScheduleRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.schedule.Schedule

Gets a Schedule.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.get_schedule

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.schedule_service.transports.base.ScheduleServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.list_schedules

list_schedules(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.schedule_service.ListSchedulesRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.schedule_service.pagers.ListSchedulesAsyncPager
)

Lists Schedules in a Location.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.list_schedules

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.network_path

network_path(project: str, network: str) -> str

Returns a fully-qualified network string.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.network_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.parse_artifact_path

parse_artifact_path(path: str) -> typing.Dict[str, str]

Parses a artifact path into its component segments.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.parse_artifact_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.parse_context_path

parse_context_path(path: str) -> typing.Dict[str, str]

Parses a context path into its component segments.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.parse_context_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.parse_custom_job_path

parse_custom_job_path(path: str) -> typing.Dict[str, str]

Parses a custom_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.parse_custom_job_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.parse_execution_path

parse_execution_path(path: str) -> typing.Dict[str, str]

Parses a execution path into its component segments.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.parse_execution_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.parse_network_path

parse_network_path(path: str) -> typing.Dict[str, str]

Parses a network path into its component segments.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.parse_network_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.parse_pipeline_job_path

parse_pipeline_job_path(path: str) -> typing.Dict[str, str]

Parses a pipeline_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.parse_pipeline_job_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.parse_schedule_path

parse_schedule_path(path: str) -> typing.Dict[str, str]

Parses a schedule path into its component segments.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.parse_schedule_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.pause_schedule

pause_schedule(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.schedule_service.PauseScheduleRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Pauses a Schedule.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.pause_schedule

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.pipeline_job_path

pipeline_job_path(project: str, location: str, pipeline_job: str) -> str

Returns a fully-qualified pipeline_job string.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.pipeline_job_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.resume_schedule

resume_schedule(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.schedule_service.ResumeScheduleRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    catch_up: typing.Optional[bool] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Resumes a paused Schedule to start scheduling new runs.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.resume_schedule

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.schedule_path

schedule_path(project: str, location: str, schedule: str) -> str

Returns a fully-qualified schedule string.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.schedule_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.update_schedule

update_schedule(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.schedule_service.UpdateScheduleRequest,
            dict,
        ]
    ] = None,
    *,
    schedule: typing.Optional[
        google.cloud.aiplatform_v1.types.schedule.Schedule
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.schedule.Schedule

Updates an active or paused Schedule.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.update_schedule

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient

ScheduleServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.schedule_service.transports.base.ScheduleServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the schedule service client.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.exit

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.artifact_path

artifact_path(
    project: str, location: str, metadata_store: str, artifact: str
) -> str

Returns a fully-qualified artifact string.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.artifact_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.common_location_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.common_project_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.context_path

context_path(project: str, location: str, metadata_store: str, context: str) -> str

Returns a fully-qualified context string.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.context_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.create_schedule

create_schedule(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.schedule_service.CreateScheduleRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    schedule: typing.Optional[
        google.cloud.aiplatform_v1.types.schedule.Schedule
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.schedule.Schedule

Creates a Schedule.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.create_schedule

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.custom_job_path

custom_job_path(project: str, location: str, custom_job: str) -> str

Returns a fully-qualified custom_job string.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.custom_job_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.delete_operation

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.delete_schedule

delete_schedule(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.schedule_service.DeleteScheduleRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a Schedule.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.delete_schedule

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.execution_path

execution_path(
    project: str, location: str, metadata_store: str, execution: str
) -> str

Returns a fully-qualified execution string.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.execution_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.get_location

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.get_operation

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.get_schedule

get_schedule(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.schedule_service.GetScheduleRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.schedule.Schedule

Gets a Schedule.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.get_schedule

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.list_locations

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.list_operations

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.list_schedules

list_schedules(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.schedule_service.ListSchedulesRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.schedule_service.pagers.ListSchedulesPager

Lists Schedules in a Location.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.list_schedules

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.network_path

network_path(project: str, network: str) -> str

Returns a fully-qualified network string.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.network_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.parse_artifact_path

parse_artifact_path(path: str) -> typing.Dict[str, str]

Parses a artifact path into its component segments.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.parse_artifact_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.parse_context_path

parse_context_path(path: str) -> typing.Dict[str, str]

Parses a context path into its component segments.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.parse_context_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.parse_custom_job_path

parse_custom_job_path(path: str) -> typing.Dict[str, str]

Parses a custom_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.parse_custom_job_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.parse_execution_path

parse_execution_path(path: str) -> typing.Dict[str, str]

Parses a execution path into its component segments.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.parse_execution_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.parse_network_path

parse_network_path(path: str) -> typing.Dict[str, str]

Parses a network path into its component segments.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.parse_network_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.parse_pipeline_job_path

parse_pipeline_job_path(path: str) -> typing.Dict[str, str]

Parses a pipeline_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.parse_pipeline_job_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.parse_schedule_path

parse_schedule_path(path: str) -> typing.Dict[str, str]

Parses a schedule path into its component segments.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.parse_schedule_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.pause_schedule

pause_schedule(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.schedule_service.PauseScheduleRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Pauses a Schedule.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.pause_schedule

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.pipeline_job_path

pipeline_job_path(project: str, location: str, pipeline_job: str) -> str

Returns a fully-qualified pipeline_job string.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.pipeline_job_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.resume_schedule

resume_schedule(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.schedule_service.ResumeScheduleRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    catch_up: typing.Optional[bool] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Resumes a paused Schedule to start scheduling new runs.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.resume_schedule

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.schedule_path

schedule_path(project: str, location: str, schedule: str) -> str

Returns a fully-qualified schedule string.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.schedule_path

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.update_schedule

update_schedule(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.schedule_service.UpdateScheduleRequest,
            dict,
        ]
    ] = None,
    *,
    schedule: typing.Optional[
        google.cloud.aiplatform_v1.types.schedule.Schedule
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.schedule.Schedule

Updates an active or paused Schedule.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.update_schedule

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.wait_operation

google.cloud.aiplatform_v1.services.schedule_service.pagers.ListSchedulesAsyncPager

ListSchedulesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.schedule_service.ListSchedulesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.schedule_service.ListSchedulesRequest,
    response: google.cloud.aiplatform_v1.types.schedule_service.ListSchedulesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.schedule_service.pagers.ListSchedulesAsyncPager

google.cloud.aiplatform_v1.services.schedule_service.pagers.ListSchedulesPager

ListSchedulesPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1.types.schedule_service.ListSchedulesResponse
    ],
    request: google.cloud.aiplatform_v1.types.schedule_service.ListSchedulesRequest,
    response: google.cloud.aiplatform_v1.types.schedule_service.ListSchedulesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.schedule_service.pagers.ListSchedulesPager

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient

SpecialistPoolServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.specialist_pool_service.transports.base.SpecialistPoolServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the specialist pool service async client.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.create_specialist_pool

create_specialist_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.specialist_pool_service.CreateSpecialistPoolRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    specialist_pool: typing.Optional[
        google.cloud.aiplatform_v1.types.specialist_pool.SpecialistPool
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a SpecialistPool.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.create_specialist_pool

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.delete_specialist_pool

delete_specialist_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.specialist_pool_service.DeleteSpecialistPoolRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a SpecialistPool as well as all Specialists in the pool.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.delete_specialist_pool

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.get_specialist_pool

get_specialist_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.specialist_pool_service.GetSpecialistPoolRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.specialist_pool.SpecialistPool

Gets a SpecialistPool.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.get_specialist_pool

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.specialist_pool_service.transports.base.SpecialistPoolServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.list_specialist_pools

list_specialist_pools(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.specialist_pool_service.ListSpecialistPoolsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.specialist_pool_service.pagers.ListSpecialistPoolsAsyncPager
)

Lists SpecialistPools in a Location.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.list_specialist_pools

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.parse_specialist_pool_path

parse_specialist_pool_path(path: str) -> typing.Dict[str, str]

Parses a specialist_pool path into its component segments.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.parse_specialist_pool_path

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.specialist_pool_path

specialist_pool_path(project: str, location: str, specialist_pool: str) -> str

Returns a fully-qualified specialist_pool string.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.specialist_pool_path

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.update_specialist_pool

update_specialist_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.specialist_pool_service.UpdateSpecialistPoolRequest,
            dict,
        ]
    ] = None,
    *,
    specialist_pool: typing.Optional[
        google.cloud.aiplatform_v1.types.specialist_pool.SpecialistPool
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates a SpecialistPool.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.update_specialist_pool

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient

SpecialistPoolServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.specialist_pool_service.transports.base.SpecialistPoolServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the specialist pool service client.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.exit

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.common_location_path

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.common_project_path

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.create_specialist_pool

create_specialist_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.specialist_pool_service.CreateSpecialistPoolRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    specialist_pool: typing.Optional[
        google.cloud.aiplatform_v1.types.specialist_pool.SpecialistPool
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a SpecialistPool.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.create_specialist_pool

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.delete_operation

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.delete_specialist_pool

delete_specialist_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.specialist_pool_service.DeleteSpecialistPoolRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a SpecialistPool as well as all Specialists in the pool.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.delete_specialist_pool

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.get_location

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.get_operation

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.get_specialist_pool

get_specialist_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.specialist_pool_service.GetSpecialistPoolRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.specialist_pool.SpecialistPool

Gets a SpecialistPool.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.get_specialist_pool

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.list_locations

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.list_operations

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.list_specialist_pools

list_specialist_pools(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.specialist_pool_service.ListSpecialistPoolsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.specialist_pool_service.pagers.ListSpecialistPoolsPager
)

Lists SpecialistPools in a Location.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.list_specialist_pools

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.parse_specialist_pool_path

parse_specialist_pool_path(path: str) -> typing.Dict[str, str]

Parses a specialist_pool path into its component segments.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.parse_specialist_pool_path

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.specialist_pool_path

specialist_pool_path(project: str, location: str, specialist_pool: str) -> str

Returns a fully-qualified specialist_pool string.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.specialist_pool_path

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.update_specialist_pool

update_specialist_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.specialist_pool_service.UpdateSpecialistPoolRequest,
            dict,
        ]
    ] = None,
    *,
    specialist_pool: typing.Optional[
        google.cloud.aiplatform_v1.types.specialist_pool.SpecialistPool
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates a SpecialistPool.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.update_specialist_pool

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.wait_operation

google.cloud.aiplatform_v1.services.specialist_pool_service.pagers.ListSpecialistPoolsAsyncPager

ListSpecialistPoolsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.specialist_pool_service.ListSpecialistPoolsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.specialist_pool_service.ListSpecialistPoolsRequest,
    response: google.cloud.aiplatform_v1.types.specialist_pool_service.ListSpecialistPoolsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.pagers.ListSpecialistPoolsAsyncPager

google.cloud.aiplatform_v1.services.specialist_pool_service.pagers.ListSpecialistPoolsPager

ListSpecialistPoolsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.specialist_pool_service.ListSpecialistPoolsResponse,
    ],
    request: google.cloud.aiplatform_v1.types.specialist_pool_service.ListSpecialistPoolsRequest,
    response: google.cloud.aiplatform_v1.types.specialist_pool_service.ListSpecialistPoolsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.specialist_pool_service.pagers.ListSpecialistPoolsPager

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient

TensorboardServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.tensorboard_service.transports.base.TensorboardServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the tensorboard service async client.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.batch_create_tensorboard_runs

batch_create_tensorboard_runs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.BatchCreateTensorboardRunsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1.types.tensorboard_service.CreateTensorboardRunRequest
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.tensorboard_service.BatchCreateTensorboardRunsResponse
)

Batch create TensorboardRuns.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.batch_create_tensorboard_runs

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.batch_create_tensorboard_time_series

batch_create_tensorboard_time_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.BatchCreateTensorboardTimeSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1.types.tensorboard_service.CreateTensorboardTimeSeriesRequest
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.tensorboard_service.BatchCreateTensorboardTimeSeriesResponse
)

Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.batch_create_tensorboard_time_series

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.batch_read_tensorboard_time_series_data

batch_read_tensorboard_time_series_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.BatchReadTensorboardTimeSeriesDataRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.tensorboard_service.BatchReadTensorboardTimeSeriesDataResponse
)

Reads multiple TensorboardTimeSeries' data.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.batch_read_tensorboard_time_series_data

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.create_tensorboard

create_tensorboard(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.CreateTensorboardRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    tensorboard: typing.Optional[
        google.cloud.aiplatform_v1.types.tensorboard.Tensorboard
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a Tensorboard.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.create_tensorboard

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.create_tensorboard_experiment

create_tensorboard_experiment(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.CreateTensorboardExperimentRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    tensorboard_experiment: typing.Optional[
        google.cloud.aiplatform_v1.types.tensorboard_experiment.TensorboardExperiment
    ] = None,
    tensorboard_experiment_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tensorboard_experiment.TensorboardExperiment

Creates a TensorboardExperiment.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.create_tensorboard_experiment

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.create_tensorboard_run

create_tensorboard_run(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.CreateTensorboardRunRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    tensorboard_run: typing.Optional[
        google.cloud.aiplatform_v1.types.tensorboard_run.TensorboardRun
    ] = None,
    tensorboard_run_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tensorboard_run.TensorboardRun

Creates a TensorboardRun.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.create_tensorboard_run

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.create_tensorboard_time_series

create_tensorboard_time_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.CreateTensorboardTimeSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    tensorboard_time_series: typing.Optional[
        google.cloud.aiplatform_v1.types.tensorboard_time_series.TensorboardTimeSeries
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tensorboard_time_series.TensorboardTimeSeries

Creates a TensorboardTimeSeries.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.create_tensorboard_time_series

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.delete_tensorboard

delete_tensorboard(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.DeleteTensorboardRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a Tensorboard.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.delete_tensorboard

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.delete_tensorboard_experiment

delete_tensorboard_experiment(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.DeleteTensorboardExperimentRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a TensorboardExperiment.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.delete_tensorboard_experiment

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.delete_tensorboard_run

delete_tensorboard_run(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.DeleteTensorboardRunRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a TensorboardRun.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.delete_tensorboard_run

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.delete_tensorboard_time_series

delete_tensorboard_time_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.DeleteTensorboardTimeSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a TensorboardTimeSeries.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.delete_tensorboard_time_series

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.export_tensorboard_time_series_data

export_tensorboard_time_series_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.ExportTensorboardTimeSeriesDataRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_time_series: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ExportTensorboardTimeSeriesDataAsyncPager
)

Exports a TensorboardTimeSeries' data.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.export_tensorboard_time_series_data

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.get_tensorboard

get_tensorboard(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.GetTensorboardRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tensorboard.Tensorboard

Gets a Tensorboard.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.get_tensorboard

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.get_tensorboard_experiment

get_tensorboard_experiment(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.GetTensorboardExperimentRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tensorboard_experiment.TensorboardExperiment

Gets a TensorboardExperiment.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.get_tensorboard_experiment

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.get_tensorboard_run

get_tensorboard_run(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.GetTensorboardRunRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tensorboard_run.TensorboardRun

Gets a TensorboardRun.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.get_tensorboard_run

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.get_tensorboard_time_series

get_tensorboard_time_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.GetTensorboardTimeSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tensorboard_time_series.TensorboardTimeSeries

Gets a TensorboardTimeSeries.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.get_tensorboard_time_series

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.tensorboard_service.transports.base.TensorboardServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.list_tensorboard_experiments

list_tensorboard_experiments(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardExperimentsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ListTensorboardExperimentsAsyncPager
)

Lists TensorboardExperiments in a Location.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.list_tensorboard_experiments

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.list_tensorboard_runs

list_tensorboard_runs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardRunsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ListTensorboardRunsAsyncPager
)

Lists TensorboardRuns in a Location.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.list_tensorboard_runs

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.list_tensorboard_time_series

list_tensorboard_time_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardTimeSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ListTensorboardTimeSeriesAsyncPager
)

Lists TensorboardTimeSeries in a Location.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.list_tensorboard_time_series

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.list_tensorboards

list_tensorboards(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ListTensorboardsAsyncPager
)

Lists Tensorboards in a Location.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.list_tensorboards

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_tensorboard_experiment_path

parse_tensorboard_experiment_path(path: str) -> typing.Dict[str, str]

Parses a tensorboard_experiment path into its component segments.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_tensorboard_experiment_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_tensorboard_path

parse_tensorboard_path(path: str) -> typing.Dict[str, str]

Parses a tensorboard path into its component segments.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_tensorboard_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_tensorboard_run_path

parse_tensorboard_run_path(path: str) -> typing.Dict[str, str]

Parses a tensorboard_run path into its component segments.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_tensorboard_run_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_tensorboard_time_series_path

parse_tensorboard_time_series_path(path: str) -> typing.Dict[str, str]

Parses a tensorboard_time_series path into its component segments.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_tensorboard_time_series_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.read_tensorboard_blob_data

read_tensorboard_blob_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.ReadTensorboardBlobDataRequest,
            dict,
        ]
    ] = None,
    *,
    time_series: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Awaitable[
    typing.AsyncIterable[
        google.cloud.aiplatform_v1.types.tensorboard_service.ReadTensorboardBlobDataResponse
    ]
]

Gets bytes of TensorboardBlobs.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.read_tensorboard_blob_data

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.read_tensorboard_size

read_tensorboard_size(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.ReadTensorboardSizeRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tensorboard_service.ReadTensorboardSizeResponse

Returns the storage size for a given TensorBoard instance.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.read_tensorboard_size

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.read_tensorboard_time_series_data

read_tensorboard_time_series_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.ReadTensorboardTimeSeriesDataRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_time_series: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.tensorboard_service.ReadTensorboardTimeSeriesDataResponse
)

Reads a TensorboardTimeSeries' data.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.read_tensorboard_time_series_data

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.read_tensorboard_usage

read_tensorboard_usage(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.ReadTensorboardUsageRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tensorboard_service.ReadTensorboardUsageResponse

Returns a list of monthly active users for a given TensorBoard instance.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.read_tensorboard_usage

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.tensorboard_experiment_path

tensorboard_experiment_path(
    project: str, location: str, tensorboard: str, experiment: str
) -> str

Returns a fully-qualified tensorboard_experiment string.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.tensorboard_experiment_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.tensorboard_path

tensorboard_path(project: str, location: str, tensorboard: str) -> str

Returns a fully-qualified tensorboard string.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.tensorboard_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.tensorboard_run_path

tensorboard_run_path(
    project: str, location: str, tensorboard: str, experiment: str, run: str
) -> str

Returns a fully-qualified tensorboard_run string.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.tensorboard_run_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.tensorboard_time_series_path

tensorboard_time_series_path(
    project: str,
    location: str,
    tensorboard: str,
    experiment: str,
    run: str,
    time_series: str,
) -> str

Returns a fully-qualified tensorboard_time_series string.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.tensorboard_time_series_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.update_tensorboard

update_tensorboard(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.UpdateTensorboardRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard: typing.Optional[
        google.cloud.aiplatform_v1.types.tensorboard.Tensorboard
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates a Tensorboard.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.update_tensorboard

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.update_tensorboard_experiment

update_tensorboard_experiment(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.UpdateTensorboardExperimentRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_experiment: typing.Optional[
        google.cloud.aiplatform_v1.types.tensorboard_experiment.TensorboardExperiment
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tensorboard_experiment.TensorboardExperiment

Updates a TensorboardExperiment.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.update_tensorboard_experiment

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.update_tensorboard_run

update_tensorboard_run(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.UpdateTensorboardRunRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_run: typing.Optional[
        google.cloud.aiplatform_v1.types.tensorboard_run.TensorboardRun
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tensorboard_run.TensorboardRun

Updates a TensorboardRun.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.update_tensorboard_run

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.update_tensorboard_time_series

update_tensorboard_time_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.UpdateTensorboardTimeSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_time_series: typing.Optional[
        google.cloud.aiplatform_v1.types.tensorboard_time_series.TensorboardTimeSeries
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tensorboard_time_series.TensorboardTimeSeries

Updates a TensorboardTimeSeries.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.update_tensorboard_time_series

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.write_tensorboard_experiment_data

write_tensorboard_experiment_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.WriteTensorboardExperimentDataRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_experiment: typing.Optional[str] = None,
    write_run_data_requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1.types.tensorboard_service.WriteTensorboardRunDataRequest
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.tensorboard_service.WriteTensorboardExperimentDataResponse
)

Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.write_tensorboard_experiment_data

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.write_tensorboard_run_data

write_tensorboard_run_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.WriteTensorboardRunDataRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_run: typing.Optional[str] = None,
    time_series_data: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1.types.tensorboard_data.TimeSeriesData
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.tensorboard_service.WriteTensorboardRunDataResponse
)

Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.write_tensorboard_run_data

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient

TensorboardServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.tensorboard_service.transports.base.TensorboardServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the tensorboard service client.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.exit

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.batch_create_tensorboard_runs

batch_create_tensorboard_runs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.BatchCreateTensorboardRunsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1.types.tensorboard_service.CreateTensorboardRunRequest
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.tensorboard_service.BatchCreateTensorboardRunsResponse
)

Batch create TensorboardRuns.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.batch_create_tensorboard_runs

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.batch_create_tensorboard_time_series

batch_create_tensorboard_time_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.BatchCreateTensorboardTimeSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1.types.tensorboard_service.CreateTensorboardTimeSeriesRequest
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.tensorboard_service.BatchCreateTensorboardTimeSeriesResponse
)

Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.batch_create_tensorboard_time_series

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.batch_read_tensorboard_time_series_data

batch_read_tensorboard_time_series_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.BatchReadTensorboardTimeSeriesDataRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.tensorboard_service.BatchReadTensorboardTimeSeriesDataResponse
)

Reads multiple TensorboardTimeSeries' data.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.batch_read_tensorboard_time_series_data

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.common_location_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.common_project_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.create_tensorboard

create_tensorboard(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.CreateTensorboardRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    tensorboard: typing.Optional[
        google.cloud.aiplatform_v1.types.tensorboard.Tensorboard
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a Tensorboard.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.create_tensorboard

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.create_tensorboard_experiment

create_tensorboard_experiment(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.CreateTensorboardExperimentRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    tensorboard_experiment: typing.Optional[
        google.cloud.aiplatform_v1.types.tensorboard_experiment.TensorboardExperiment
    ] = None,
    tensorboard_experiment_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tensorboard_experiment.TensorboardExperiment

Creates a TensorboardExperiment.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.create_tensorboard_experiment

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.create_tensorboard_run

create_tensorboard_run(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.CreateTensorboardRunRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    tensorboard_run: typing.Optional[
        google.cloud.aiplatform_v1.types.tensorboard_run.TensorboardRun
    ] = None,
    tensorboard_run_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tensorboard_run.TensorboardRun

Creates a TensorboardRun.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.create_tensorboard_run

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.create_tensorboard_time_series

create_tensorboard_time_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.CreateTensorboardTimeSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    tensorboard_time_series: typing.Optional[
        google.cloud.aiplatform_v1.types.tensorboard_time_series.TensorboardTimeSeries
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tensorboard_time_series.TensorboardTimeSeries

Creates a TensorboardTimeSeries.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.create_tensorboard_time_series

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.delete_operation

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.delete_tensorboard

delete_tensorboard(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.DeleteTensorboardRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a Tensorboard.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.delete_tensorboard

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.delete_tensorboard_experiment

delete_tensorboard_experiment(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.DeleteTensorboardExperimentRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a TensorboardExperiment.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.delete_tensorboard_experiment

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.delete_tensorboard_run

delete_tensorboard_run(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.DeleteTensorboardRunRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a TensorboardRun.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.delete_tensorboard_run

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.delete_tensorboard_time_series

delete_tensorboard_time_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.DeleteTensorboardTimeSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a TensorboardTimeSeries.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.delete_tensorboard_time_series

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.export_tensorboard_time_series_data

export_tensorboard_time_series_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.ExportTensorboardTimeSeriesDataRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_time_series: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ExportTensorboardTimeSeriesDataPager
)

Exports a TensorboardTimeSeries' data.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.export_tensorboard_time_series_data

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.get_location

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.get_operation

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.get_tensorboard

get_tensorboard(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.GetTensorboardRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tensorboard.Tensorboard

Gets a Tensorboard.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.get_tensorboard

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.get_tensorboard_experiment

get_tensorboard_experiment(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.GetTensorboardExperimentRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tensorboard_experiment.TensorboardExperiment

Gets a TensorboardExperiment.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.get_tensorboard_experiment

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.get_tensorboard_run

get_tensorboard_run(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.GetTensorboardRunRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tensorboard_run.TensorboardRun

Gets a TensorboardRun.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.get_tensorboard_run

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.get_tensorboard_time_series

get_tensorboard_time_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.GetTensorboardTimeSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tensorboard_time_series.TensorboardTimeSeries

Gets a TensorboardTimeSeries.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.get_tensorboard_time_series

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.list_locations

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.list_operations

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.list_tensorboard_experiments

list_tensorboard_experiments(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardExperimentsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ListTensorboardExperimentsPager
)

Lists TensorboardExperiments in a Location.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.list_tensorboard_experiments

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.list_tensorboard_runs

list_tensorboard_runs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardRunsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ListTensorboardRunsPager
)

Lists TensorboardRuns in a Location.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.list_tensorboard_runs

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.list_tensorboard_time_series

list_tensorboard_time_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardTimeSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ListTensorboardTimeSeriesPager
)

Lists TensorboardTimeSeries in a Location.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.list_tensorboard_time_series

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.list_tensorboards

list_tensorboards(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ListTensorboardsPager
)

Lists Tensorboards in a Location.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.list_tensorboards

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.parse_tensorboard_experiment_path

parse_tensorboard_experiment_path(path: str) -> typing.Dict[str, str]

Parses a tensorboard_experiment path into its component segments.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.parse_tensorboard_experiment_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.parse_tensorboard_path

parse_tensorboard_path(path: str) -> typing.Dict[str, str]

Parses a tensorboard path into its component segments.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.parse_tensorboard_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.parse_tensorboard_run_path

parse_tensorboard_run_path(path: str) -> typing.Dict[str, str]

Parses a tensorboard_run path into its component segments.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.parse_tensorboard_run_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.parse_tensorboard_time_series_path

parse_tensorboard_time_series_path(path: str) -> typing.Dict[str, str]

Parses a tensorboard_time_series path into its component segments.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.parse_tensorboard_time_series_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.read_tensorboard_blob_data

read_tensorboard_blob_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.ReadTensorboardBlobDataRequest,
            dict,
        ]
    ] = None,
    *,
    time_series: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Iterable[
    google.cloud.aiplatform_v1.types.tensorboard_service.ReadTensorboardBlobDataResponse
]

Gets bytes of TensorboardBlobs.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.read_tensorboard_blob_data

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.read_tensorboard_size

read_tensorboard_size(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.ReadTensorboardSizeRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tensorboard_service.ReadTensorboardSizeResponse

Returns the storage size for a given TensorBoard instance.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.read_tensorboard_size

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.read_tensorboard_time_series_data

read_tensorboard_time_series_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.ReadTensorboardTimeSeriesDataRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_time_series: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.tensorboard_service.ReadTensorboardTimeSeriesDataResponse
)

Reads a TensorboardTimeSeries' data.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.read_tensorboard_time_series_data

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.read_tensorboard_usage

read_tensorboard_usage(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.ReadTensorboardUsageRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tensorboard_service.ReadTensorboardUsageResponse

Returns a list of monthly active users for a given TensorBoard instance.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.read_tensorboard_usage

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.tensorboard_experiment_path

tensorboard_experiment_path(
    project: str, location: str, tensorboard: str, experiment: str
) -> str

Returns a fully-qualified tensorboard_experiment string.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.tensorboard_experiment_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.tensorboard_path

tensorboard_path(project: str, location: str, tensorboard: str) -> str

Returns a fully-qualified tensorboard string.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.tensorboard_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.tensorboard_run_path

tensorboard_run_path(
    project: str, location: str, tensorboard: str, experiment: str, run: str
) -> str

Returns a fully-qualified tensorboard_run string.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.tensorboard_run_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.tensorboard_time_series_path

tensorboard_time_series_path(
    project: str,
    location: str,
    tensorboard: str,
    experiment: str,
    run: str,
    time_series: str,
) -> str

Returns a fully-qualified tensorboard_time_series string.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.tensorboard_time_series_path

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.update_tensorboard

update_tensorboard(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.UpdateTensorboardRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard: typing.Optional[
        google.cloud.aiplatform_v1.types.tensorboard.Tensorboard
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates a Tensorboard.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.update_tensorboard

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.update_tensorboard_experiment

update_tensorboard_experiment(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.UpdateTensorboardExperimentRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_experiment: typing.Optional[
        google.cloud.aiplatform_v1.types.tensorboard_experiment.TensorboardExperiment
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tensorboard_experiment.TensorboardExperiment

Updates a TensorboardExperiment.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.update_tensorboard_experiment

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.update_tensorboard_run

update_tensorboard_run(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.UpdateTensorboardRunRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_run: typing.Optional[
        google.cloud.aiplatform_v1.types.tensorboard_run.TensorboardRun
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tensorboard_run.TensorboardRun

Updates a TensorboardRun.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.update_tensorboard_run

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.update_tensorboard_time_series

update_tensorboard_time_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.UpdateTensorboardTimeSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_time_series: typing.Optional[
        google.cloud.aiplatform_v1.types.tensorboard_time_series.TensorboardTimeSeries
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.tensorboard_time_series.TensorboardTimeSeries

Updates a TensorboardTimeSeries.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.update_tensorboard_time_series

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.wait_operation

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.write_tensorboard_experiment_data

write_tensorboard_experiment_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.WriteTensorboardExperimentDataRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_experiment: typing.Optional[str] = None,
    write_run_data_requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1.types.tensorboard_service.WriteTensorboardRunDataRequest
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.tensorboard_service.WriteTensorboardExperimentDataResponse
)

Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.write_tensorboard_experiment_data

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.write_tensorboard_run_data

write_tensorboard_run_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.tensorboard_service.WriteTensorboardRunDataRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_run: typing.Optional[str] = None,
    time_series_data: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1.types.tensorboard_data.TimeSeriesData
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1.types.tensorboard_service.WriteTensorboardRunDataResponse
)

Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.write_tensorboard_run_data

google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ExportTensorboardTimeSeriesDataAsyncPager

ExportTensorboardTimeSeriesDataAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.tensorboard_service.ExportTensorboardTimeSeriesDataResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.tensorboard_service.ExportTensorboardTimeSeriesDataRequest,
    response: google.cloud.aiplatform_v1.types.tensorboard_service.ExportTensorboardTimeSeriesDataResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ExportTensorboardTimeSeriesDataAsyncPager

google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ExportTensorboardTimeSeriesDataPager

ExportTensorboardTimeSeriesDataPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.tensorboard_service.ExportTensorboardTimeSeriesDataResponse,
    ],
    request: google.cloud.aiplatform_v1.types.tensorboard_service.ExportTensorboardTimeSeriesDataRequest,
    response: google.cloud.aiplatform_v1.types.tensorboard_service.ExportTensorboardTimeSeriesDataResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ExportTensorboardTimeSeriesDataPager

google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ListTensorboardExperimentsAsyncPager

ListTensorboardExperimentsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardExperimentsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardExperimentsRequest,
    response: google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardExperimentsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ListTensorboardExperimentsAsyncPager

google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ListTensorboardExperimentsPager

ListTensorboardExperimentsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardExperimentsResponse,
    ],
    request: google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardExperimentsRequest,
    response: google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardExperimentsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ListTensorboardExperimentsPager

google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ListTensorboardRunsAsyncPager

ListTensorboardRunsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardRunsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardRunsRequest,
    response: google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardRunsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ListTensorboardRunsAsyncPager

google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ListTensorboardRunsPager

ListTensorboardRunsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardRunsResponse,
    ],
    request: google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardRunsRequest,
    response: google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardRunsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ListTensorboardRunsPager

google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ListTensorboardTimeSeriesAsyncPager

ListTensorboardTimeSeriesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardTimeSeriesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardTimeSeriesRequest,
    response: google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardTimeSeriesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ListTensorboardTimeSeriesAsyncPager

google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ListTensorboardTimeSeriesPager

ListTensorboardTimeSeriesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardTimeSeriesResponse,
    ],
    request: google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardTimeSeriesRequest,
    response: google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardTimeSeriesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ListTensorboardTimeSeriesPager

google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ListTensorboardsAsyncPager

ListTensorboardsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardsRequest,
    response: google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ListTensorboardsAsyncPager

google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ListTensorboardsPager

ListTensorboardsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardsResponse,
    ],
    request: google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardsRequest,
    response: google.cloud.aiplatform_v1.types.tensorboard_service.ListTensorboardsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.pagers.ListTensorboardsPager

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient

VizierServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1.services.vizier_service.transports.base.VizierServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the vizier service async client.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.add_trial_measurement

add_trial_measurement(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.AddTrialMeasurementRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.study.Trial

Adds a measurement of the objective metrics to a Trial.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.add_trial_measurement

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.check_trial_early_stopping_state

check_trial_early_stopping_state(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.CheckTrialEarlyStoppingStateRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Checks whether a Trial should stop or not.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.check_trial_early_stopping_state

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.complete_trial

complete_trial(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.CompleteTrialRequest, dict
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.study.Trial

Marks a Trial as complete.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.complete_trial

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.create_study

create_study(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.CreateStudyRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    study: typing.Optional[google.cloud.aiplatform_v1.types.study.Study] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.study.Study

Creates a Study.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.create_study

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.create_trial

create_trial(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.CreateTrialRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    trial: typing.Optional[google.cloud.aiplatform_v1.types.study.Trial] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.study.Trial

Adds a user provided Trial to a Study.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.create_trial

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.custom_job_path

custom_job_path(project: str, location: str, custom_job: str) -> str

Returns a fully-qualified custom_job string.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.custom_job_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.delete_study

delete_study(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.DeleteStudyRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a Study.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.delete_study

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.delete_trial

delete_trial(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.DeleteTrialRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a Trial.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.delete_trial

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.get_location

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.get_operation

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.get_study

get_study(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.GetStudyRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.study.Study

Gets a Study by name.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.get_study

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1.services.vizier_service.transports.base.VizierServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.get_trial

get_trial(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.GetTrialRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.study.Trial

Gets a Trial.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.get_trial

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.list_locations

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.list_operations

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.list_optimal_trials

list_optimal_trials(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.ListOptimalTrialsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.vizier_service.ListOptimalTrialsResponse

Lists the pareto-optimal Trials for multi-objective Study or the optimal Trials for single-objective Study.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.list_optimal_trials

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.list_studies

list_studies(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.ListStudiesRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.vizier_service.pagers.ListStudiesAsyncPager

Lists all the studies in a region for an associated project.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.list_studies

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.list_trials

list_trials(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.ListTrialsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.vizier_service.pagers.ListTrialsAsyncPager

Lists the Trials associated with a Study.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.list_trials

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.lookup_study

lookup_study(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.LookupStudyRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.study.Study

Looks a study up using the user-defined display_name field instead of the fully qualified resource name.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.lookup_study

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.parse_custom_job_path

parse_custom_job_path(path: str) -> typing.Dict[str, str]

Parses a custom_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.parse_custom_job_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.parse_study_path

parse_study_path(path: str) -> typing.Dict[str, str]

Parses a study path into its component segments.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.parse_study_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.parse_trial_path

parse_trial_path(path: str) -> typing.Dict[str, str]

Parses a trial path into its component segments.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.parse_trial_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.stop_trial

stop_trial(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.StopTrialRequest, dict
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.study.Trial

Stops a Trial.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.stop_trial

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.study_path

study_path(project: str, location: str, study: str) -> str

Returns a fully-qualified study string.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.study_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.suggest_trials

suggest_trials(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.SuggestTrialsRequest, dict
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Adds one or more Trials to a Study, with parameter values suggested by Vertex AI Vizier.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.suggest_trials

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.trial_path

trial_path(project: str, location: str, study: str, trial: str) -> str

Returns a fully-qualified trial string.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.trial_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient

VizierServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1.services.vizier_service.transports.base.VizierServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the vizier service client.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.exit

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.add_trial_measurement

add_trial_measurement(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.AddTrialMeasurementRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.study.Trial

Adds a measurement of the objective metrics to a Trial.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.add_trial_measurement

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.cancel_operation

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.check_trial_early_stopping_state

check_trial_early_stopping_state(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.CheckTrialEarlyStoppingStateRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Checks whether a Trial should stop or not.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.check_trial_early_stopping_state

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.common_billing_account_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.common_folder_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.common_location_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.common_organization_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.common_project_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.complete_trial

complete_trial(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.CompleteTrialRequest, dict
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.study.Trial

Marks a Trial as complete.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.complete_trial

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.create_study

create_study(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.CreateStudyRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    study: typing.Optional[google.cloud.aiplatform_v1.types.study.Study] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.study.Study

Creates a Study.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.create_study

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.create_trial

create_trial(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.CreateTrialRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    trial: typing.Optional[google.cloud.aiplatform_v1.types.study.Trial] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.study.Trial

Adds a user provided Trial to a Study.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.create_trial

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.custom_job_path

custom_job_path(project: str, location: str, custom_job: str) -> str

Returns a fully-qualified custom_job string.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.custom_job_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.delete_operation

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.delete_study

delete_study(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.DeleteStudyRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a Study.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.delete_study

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.delete_trial

delete_trial(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.DeleteTrialRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a Trial.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.delete_trial

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.from_service_account_file

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.from_service_account_info

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.from_service_account_json

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.get_iam_policy

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.get_location

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.get_operation

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.get_study

get_study(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.GetStudyRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.study.Study

Gets a Study by name.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.get_study

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.get_trial

get_trial(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.GetTrialRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.study.Trial

Gets a Trial.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.get_trial

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.list_locations

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.list_operations

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.list_optimal_trials

list_optimal_trials(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.ListOptimalTrialsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.vizier_service.ListOptimalTrialsResponse

Lists the pareto-optimal Trials for multi-objective Study or the optimal Trials for single-objective Study.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.list_optimal_trials

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.list_studies

list_studies(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.ListStudiesRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.vizier_service.pagers.ListStudiesPager

Lists all the studies in a region for an associated project.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.list_studies

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.list_trials

list_trials(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.ListTrialsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.services.vizier_service.pagers.ListTrialsPager

Lists the Trials associated with a Study.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.list_trials

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.lookup_study

lookup_study(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.LookupStudyRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.study.Study

Looks a study up using the user-defined display_name field instead of the fully qualified resource name.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.lookup_study

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.parse_common_location_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.parse_common_project_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.parse_custom_job_path

parse_custom_job_path(path: str) -> typing.Dict[str, str]

Parses a custom_job path into its component segments.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.parse_custom_job_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.parse_study_path

parse_study_path(path: str) -> typing.Dict[str, str]

Parses a study path into its component segments.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.parse_study_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.parse_trial_path

parse_trial_path(path: str) -> typing.Dict[str, str]

Parses a trial path into its component segments.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.parse_trial_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.set_iam_policy

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.stop_trial

stop_trial(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.StopTrialRequest, dict
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1.types.study.Trial

Stops a Trial.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.stop_trial

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.study_path

study_path(project: str, location: str, study: str) -> str

Returns a fully-qualified study string.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.study_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.suggest_trials

suggest_trials(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1.types.vizier_service.SuggestTrialsRequest, dict
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Adds one or more Trials to a Study, with parameter values suggested by Vertex AI Vizier.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.suggest_trials

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.test_iam_permissions

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.trial_path

trial_path(project: str, location: str, study: str, trial: str) -> str

Returns a fully-qualified trial string.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.trial_path

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.wait_operation

google.cloud.aiplatform_v1.services.vizier_service.pagers.ListStudiesAsyncPager

ListStudiesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.vizier_service.ListStudiesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.vizier_service.ListStudiesRequest,
    response: google.cloud.aiplatform_v1.types.vizier_service.ListStudiesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.vizier_service.pagers.ListStudiesAsyncPager

google.cloud.aiplatform_v1.services.vizier_service.pagers.ListStudiesPager

ListStudiesPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1.types.vizier_service.ListStudiesResponse
    ],
    request: google.cloud.aiplatform_v1.types.vizier_service.ListStudiesRequest,
    response: google.cloud.aiplatform_v1.types.vizier_service.ListStudiesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.vizier_service.pagers.ListStudiesPager

google.cloud.aiplatform_v1.services.vizier_service.pagers.ListTrialsAsyncPager

ListTrialsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.vizier_service.ListTrialsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.vizier_service.ListTrialsRequest,
    response: google.cloud.aiplatform_v1.types.vizier_service.ListTrialsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1.services.vizier_service.pagers.ListTrialsAsyncPager

google.cloud.aiplatform_v1.services.vizier_service.pagers.ListTrialsPager

ListTrialsPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1.types.vizier_service.ListTrialsResponse
    ],
    request: google.cloud.aiplatform_v1.types.vizier_service.ListTrialsRequest,
    response: google.cloud.aiplatform_v1.types.vizier_service.ListTrialsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1.services.vizier_service.pagers.ListTrialsPager

google.cloud.aiplatform_v1.types.AcceleratorType

AcceleratorType(value)

Represents a hardware accelerator type.

See more: google.cloud.aiplatform_v1.types.AcceleratorType

google.cloud.aiplatform_v1.types.ActiveLearningConfig

ActiveLearningConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Parameters that configure the active learning pipeline.

See more: google.cloud.aiplatform_v1.types.ActiveLearningConfig

google.cloud.aiplatform_v1.types.AddContextArtifactsAndExecutionsRequest

AddContextArtifactsAndExecutionsRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for MetadataService.AddContextArtifactsAndExecutions.

See more: google.cloud.aiplatform_v1.types.AddContextArtifactsAndExecutionsRequest

google.cloud.aiplatform_v1.types.AddContextArtifactsAndExecutionsResponse

AddContextArtifactsAndExecutionsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for MetadataService.AddContextArtifactsAndExecutions.

See more: google.cloud.aiplatform_v1.types.AddContextArtifactsAndExecutionsResponse

google.cloud.aiplatform_v1.types.AddContextChildrenRequest

AddContextChildrenRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.AddContextChildren.

See more: google.cloud.aiplatform_v1.types.AddContextChildrenRequest

google.cloud.aiplatform_v1.types.AddContextChildrenResponse

AddContextChildrenResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for MetadataService.AddContextChildren.

See more: google.cloud.aiplatform_v1.types.AddContextChildrenResponse

google.cloud.aiplatform_v1.types.AddExecutionEventsRequest

AddExecutionEventsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.AddExecutionEvents.

See more: google.cloud.aiplatform_v1.types.AddExecutionEventsRequest

google.cloud.aiplatform_v1.types.AddExecutionEventsResponse

AddExecutionEventsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for MetadataService.AddExecutionEvents.

See more: google.cloud.aiplatform_v1.types.AddExecutionEventsResponse

google.cloud.aiplatform_v1.types.AddTrialMeasurementRequest

AddTrialMeasurementRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.AddTrialMeasurement.

See more: google.cloud.aiplatform_v1.types.AddTrialMeasurementRequest

google.cloud.aiplatform_v1.types.Annotation

Annotation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Used to assign specific AnnotationSpec to a particular area of a DataItem or the whole part of the DataItem.

See more: google.cloud.aiplatform_v1.types.Annotation

google.cloud.aiplatform_v1.types.Annotation.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.Annotation.LabelsEntry

google.cloud.aiplatform_v1.types.AnnotationSpec

AnnotationSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Identifies a concept with which DataItems may be annotated with.

See more: google.cloud.aiplatform_v1.types.AnnotationSpec

google.cloud.aiplatform_v1.types.Artifact

Artifact(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Instance of a general artifact.

See more: google.cloud.aiplatform_v1.types.Artifact

google.cloud.aiplatform_v1.types.Artifact.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.Artifact.LabelsEntry

google.cloud.aiplatform_v1.types.Artifact.State

State(value)

Describes the state of the Artifact.

See more: google.cloud.aiplatform_v1.types.Artifact.State

google.cloud.aiplatform_v1.types.AssignNotebookRuntimeOperationMetadata

AssignNotebookRuntimeOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Metadata information for NotebookService.AssignNotebookRuntime.

See more: google.cloud.aiplatform_v1.types.AssignNotebookRuntimeOperationMetadata

google.cloud.aiplatform_v1.types.AssignNotebookRuntimeRequest

AssignNotebookRuntimeRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for NotebookService.AssignNotebookRuntime.

See more: google.cloud.aiplatform_v1.types.AssignNotebookRuntimeRequest

google.cloud.aiplatform_v1.types.Attribution

Attribution(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Attribution that explains a particular prediction output.

See more: google.cloud.aiplatform_v1.types.Attribution

google.cloud.aiplatform_v1.types.AutomaticResources

AutomaticResources(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.

See more: google.cloud.aiplatform_v1.types.AutomaticResources

google.cloud.aiplatform_v1.types.AutoscalingMetricSpec

AutoscalingMetricSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The metric specification that defines the target resource utilization (CPU utilization, accelerator's duty cycle, and so on) for calculating the desired replica count.

See more: google.cloud.aiplatform_v1.types.AutoscalingMetricSpec

google.cloud.aiplatform_v1.types.AvroSource

AvroSource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The storage details for Avro input content.

See more: google.cloud.aiplatform_v1.types.AvroSource

google.cloud.aiplatform_v1.types.BatchCancelPipelineJobsOperationMetadata

BatchCancelPipelineJobsOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for PipelineService.BatchCancelPipelineJobs.

See more: google.cloud.aiplatform_v1.types.BatchCancelPipelineJobsOperationMetadata

google.cloud.aiplatform_v1.types.BatchCancelPipelineJobsRequest

BatchCancelPipelineJobsRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for PipelineService.BatchCancelPipelineJobs.

See more: google.cloud.aiplatform_v1.types.BatchCancelPipelineJobsRequest

google.cloud.aiplatform_v1.types.BatchCancelPipelineJobsResponse

BatchCancelPipelineJobsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for PipelineService.BatchCancelPipelineJobs.

See more: google.cloud.aiplatform_v1.types.BatchCancelPipelineJobsResponse

google.cloud.aiplatform_v1.types.BatchCreateFeaturesOperationMetadata

BatchCreateFeaturesOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform batch create Features.

See more: google.cloud.aiplatform_v1.types.BatchCreateFeaturesOperationMetadata

google.cloud.aiplatform_v1.types.BatchCreateFeaturesRequest

BatchCreateFeaturesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.BatchCreateFeatures.

See more: google.cloud.aiplatform_v1.types.BatchCreateFeaturesRequest

google.cloud.aiplatform_v1.types.BatchCreateFeaturesResponse

BatchCreateFeaturesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeaturestoreService.BatchCreateFeatures.

See more: google.cloud.aiplatform_v1.types.BatchCreateFeaturesResponse

google.cloud.aiplatform_v1.types.BatchCreateTensorboardRunsRequest

BatchCreateTensorboardRunsRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.BatchCreateTensorboardRuns.

See more: google.cloud.aiplatform_v1.types.BatchCreateTensorboardRunsRequest

google.cloud.aiplatform_v1.types.BatchCreateTensorboardRunsResponse

BatchCreateTensorboardRunsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for TensorboardService.BatchCreateTensorboardRuns.

See more: google.cloud.aiplatform_v1.types.BatchCreateTensorboardRunsResponse

google.cloud.aiplatform_v1.types.BatchCreateTensorboardTimeSeriesRequest

BatchCreateTensorboardTimeSeriesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.BatchCreateTensorboardTimeSeries.

See more: google.cloud.aiplatform_v1.types.BatchCreateTensorboardTimeSeriesRequest

google.cloud.aiplatform_v1.types.BatchCreateTensorboardTimeSeriesResponse

BatchCreateTensorboardTimeSeriesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for TensorboardService.BatchCreateTensorboardTimeSeries.

See more: google.cloud.aiplatform_v1.types.BatchCreateTensorboardTimeSeriesResponse

google.cloud.aiplatform_v1.types.BatchDedicatedResources

BatchDedicatedResources(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A description of resources that are used for performing batch operations, are dedicated to a Model, and need manual configuration.

See more: google.cloud.aiplatform_v1.types.BatchDedicatedResources

google.cloud.aiplatform_v1.types.BatchDeletePipelineJobsRequest

BatchDeletePipelineJobsRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for PipelineService.BatchDeletePipelineJobs.

See more: google.cloud.aiplatform_v1.types.BatchDeletePipelineJobsRequest

google.cloud.aiplatform_v1.types.BatchDeletePipelineJobsResponse

BatchDeletePipelineJobsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for PipelineService.BatchDeletePipelineJobs.

See more: google.cloud.aiplatform_v1.types.BatchDeletePipelineJobsResponse

google.cloud.aiplatform_v1.types.BatchImportEvaluatedAnnotationsRequest

BatchImportEvaluatedAnnotationsRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for ModelService.BatchImportEvaluatedAnnotations .

See more: google.cloud.aiplatform_v1.types.BatchImportEvaluatedAnnotationsRequest

google.cloud.aiplatform_v1.types.BatchImportEvaluatedAnnotationsResponse

BatchImportEvaluatedAnnotationsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for ModelService.BatchImportEvaluatedAnnotations .

See more: google.cloud.aiplatform_v1.types.BatchImportEvaluatedAnnotationsResponse

google.cloud.aiplatform_v1.types.BatchImportModelEvaluationSlicesRequest

BatchImportModelEvaluationSlicesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for ModelService.BatchImportModelEvaluationSlices .

See more: google.cloud.aiplatform_v1.types.BatchImportModelEvaluationSlicesRequest

google.cloud.aiplatform_v1.types.BatchImportModelEvaluationSlicesResponse

BatchImportModelEvaluationSlicesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for ModelService.BatchImportModelEvaluationSlices .

See more: google.cloud.aiplatform_v1.types.BatchImportModelEvaluationSlicesResponse

google.cloud.aiplatform_v1.types.BatchMigrateResourcesOperationMetadata

BatchMigrateResourcesOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for MigrationService.BatchMigrateResources.

See more: google.cloud.aiplatform_v1.types.BatchMigrateResourcesOperationMetadata

google.cloud.aiplatform_v1.types.BatchMigrateResourcesOperationMetadata.PartialResult

PartialResult(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a partial result in batch migration operation for one MigrateResourceRequest.

See more: google.cloud.aiplatform_v1.types.BatchMigrateResourcesOperationMetadata.PartialResult

google.cloud.aiplatform_v1.types.BatchMigrateResourcesRequest

BatchMigrateResourcesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for MigrationService.BatchMigrateResources.

See more: google.cloud.aiplatform_v1.types.BatchMigrateResourcesRequest

google.cloud.aiplatform_v1.types.BatchMigrateResourcesResponse

BatchMigrateResourcesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for MigrationService.BatchMigrateResources.

See more: google.cloud.aiplatform_v1.types.BatchMigrateResourcesResponse

google.cloud.aiplatform_v1.types.BatchPredictionJob

BatchPredictionJob(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A job that uses a Model to produce predictions on multiple [input instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config].

See more: google.cloud.aiplatform_v1.types.BatchPredictionJob

google.cloud.aiplatform_v1.types.BatchPredictionJob.InputConfig

InputConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configures the input to BatchPredictionJob.

See more: google.cloud.aiplatform_v1.types.BatchPredictionJob.InputConfig

google.cloud.aiplatform_v1.types.BatchPredictionJob.InstanceConfig

InstanceConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration defining how to transform batch prediction input instances to the instances that the Model accepts.

See more: google.cloud.aiplatform_v1.types.BatchPredictionJob.InstanceConfig

google.cloud.aiplatform_v1.types.BatchPredictionJob.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.BatchPredictionJob.LabelsEntry

google.cloud.aiplatform_v1.types.BatchPredictionJob.OutputConfig

OutputConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configures the output of BatchPredictionJob.

See more: google.cloud.aiplatform_v1.types.BatchPredictionJob.OutputConfig

google.cloud.aiplatform_v1.types.BatchPredictionJob.OutputInfo

OutputInfo(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Further describes this job's output.

See more: google.cloud.aiplatform_v1.types.BatchPredictionJob.OutputInfo

google.cloud.aiplatform_v1.types.BatchReadFeatureValuesOperationMetadata

BatchReadFeatureValuesOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that batch reads Feature values.

See more: google.cloud.aiplatform_v1.types.BatchReadFeatureValuesOperationMetadata

google.cloud.aiplatform_v1.types.BatchReadFeatureValuesRequest

BatchReadFeatureValuesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for FeaturestoreService.BatchReadFeatureValues.

See more: google.cloud.aiplatform_v1.types.BatchReadFeatureValuesRequest

google.cloud.aiplatform_v1.types.BatchReadFeatureValuesRequest.EntityTypeSpec

EntityTypeSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Selects Features of an EntityType to read values of and specifies read settings.

See more: google.cloud.aiplatform_v1.types.BatchReadFeatureValuesRequest.EntityTypeSpec

google.cloud.aiplatform_v1.types.BatchReadFeatureValuesRequest.PassThroughField

PassThroughField(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Describe pass-through fields in read_instance source.

See more: google.cloud.aiplatform_v1.types.BatchReadFeatureValuesRequest.PassThroughField

google.cloud.aiplatform_v1.types.BatchReadFeatureValuesResponse

BatchReadFeatureValuesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for FeaturestoreService.BatchReadFeatureValues.

See more: google.cloud.aiplatform_v1.types.BatchReadFeatureValuesResponse

google.cloud.aiplatform_v1.types.BatchReadTensorboardTimeSeriesDataRequest

BatchReadTensorboardTimeSeriesDataRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.BatchReadTensorboardTimeSeriesData.

See more: google.cloud.aiplatform_v1.types.BatchReadTensorboardTimeSeriesDataRequest

google.cloud.aiplatform_v1.types.BatchReadTensorboardTimeSeriesDataResponse

BatchReadTensorboardTimeSeriesDataResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for TensorboardService.BatchReadTensorboardTimeSeriesData.

See more: google.cloud.aiplatform_v1.types.BatchReadTensorboardTimeSeriesDataResponse

google.cloud.aiplatform_v1.types.BigQueryDestination

BigQueryDestination(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The BigQuery location for the output content.

See more: google.cloud.aiplatform_v1.types.BigQueryDestination

google.cloud.aiplatform_v1.types.BigQuerySource

BigQuerySource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The BigQuery location for the input content.

See more: google.cloud.aiplatform_v1.types.BigQuerySource

google.cloud.aiplatform_v1.types.Blob

Blob(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Content blob.

See more: google.cloud.aiplatform_v1.types.Blob

google.cloud.aiplatform_v1.types.BlurBaselineConfig

BlurBaselineConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Config for blur baseline.

See more: google.cloud.aiplatform_v1.types.BlurBaselineConfig

google.cloud.aiplatform_v1.types.BoolArray

BoolArray(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A list of boolean values.

See more: google.cloud.aiplatform_v1.types.BoolArray

google.cloud.aiplatform_v1.types.CancelBatchPredictionJobRequest

CancelBatchPredictionJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.CancelBatchPredictionJob.

See more: google.cloud.aiplatform_v1.types.CancelBatchPredictionJobRequest

google.cloud.aiplatform_v1.types.CancelCustomJobRequest

CancelCustomJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.CancelCustomJob.

See more: google.cloud.aiplatform_v1.types.CancelCustomJobRequest

google.cloud.aiplatform_v1.types.CancelDataLabelingJobRequest

CancelDataLabelingJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.CancelDataLabelingJob.

See more: google.cloud.aiplatform_v1.types.CancelDataLabelingJobRequest

google.cloud.aiplatform_v1.types.CancelHyperparameterTuningJobRequest

CancelHyperparameterTuningJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.CancelHyperparameterTuningJob.

See more: google.cloud.aiplatform_v1.types.CancelHyperparameterTuningJobRequest

google.cloud.aiplatform_v1.types.CancelNasJobRequest

CancelNasJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.CancelNasJob.

See more: google.cloud.aiplatform_v1.types.CancelNasJobRequest

google.cloud.aiplatform_v1.types.CancelPipelineJobRequest

CancelPipelineJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PipelineService.CancelPipelineJob.

See more: google.cloud.aiplatform_v1.types.CancelPipelineJobRequest

google.cloud.aiplatform_v1.types.CancelTrainingPipelineRequest

CancelTrainingPipelineRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for PipelineService.CancelTrainingPipeline.

See more: google.cloud.aiplatform_v1.types.CancelTrainingPipelineRequest

google.cloud.aiplatform_v1.types.CancelTuningJobRequest

CancelTuningJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for GenAiTuningService.CancelTuningJob.

See more: google.cloud.aiplatform_v1.types.CancelTuningJobRequest

google.cloud.aiplatform_v1.types.Candidate

Candidate(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A response candidate generated from the model.

See more: google.cloud.aiplatform_v1.types.Candidate

google.cloud.aiplatform_v1.types.Candidate.FinishReason

FinishReason(value)

The reason why the model stopped generating tokens.

See more: google.cloud.aiplatform_v1.types.Candidate.FinishReason

google.cloud.aiplatform_v1.types.CheckTrialEarlyStoppingStateMetatdata

CheckTrialEarlyStoppingStateMetatdata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

This message will be placed in the metadata field of a google.longrunning.Operation associated with a CheckTrialEarlyStoppingState request.

See more: google.cloud.aiplatform_v1.types.CheckTrialEarlyStoppingStateMetatdata

google.cloud.aiplatform_v1.types.CheckTrialEarlyStoppingStateRequest

CheckTrialEarlyStoppingStateRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for VizierService.CheckTrialEarlyStoppingState.

See more: google.cloud.aiplatform_v1.types.CheckTrialEarlyStoppingStateRequest

google.cloud.aiplatform_v1.types.CheckTrialEarlyStoppingStateResponse

CheckTrialEarlyStoppingStateResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for VizierService.CheckTrialEarlyStoppingState.

See more: google.cloud.aiplatform_v1.types.CheckTrialEarlyStoppingStateResponse

google.cloud.aiplatform_v1.types.Citation

Citation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Source attributions for content.

See more: google.cloud.aiplatform_v1.types.Citation

google.cloud.aiplatform_v1.types.CitationMetadata

CitationMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A collection of source attributions for a piece of content.

See more: google.cloud.aiplatform_v1.types.CitationMetadata

google.cloud.aiplatform_v1.types.CompleteTrialRequest

CompleteTrialRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.CompleteTrial.

See more: google.cloud.aiplatform_v1.types.CompleteTrialRequest

google.cloud.aiplatform_v1.types.CompletionStats

CompletionStats(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Success and error statistics of processing multiple entities (for example, DataItems or structured data rows) in batch.

See more: google.cloud.aiplatform_v1.types.CompletionStats

google.cloud.aiplatform_v1.types.ComputeTokensRequest

ComputeTokensRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ComputeTokens RPC call.

See more: google.cloud.aiplatform_v1.types.ComputeTokensRequest

google.cloud.aiplatform_v1.types.ComputeTokensResponse

ComputeTokensResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for ComputeTokens RPC call.

See more: google.cloud.aiplatform_v1.types.ComputeTokensResponse

google.cloud.aiplatform_v1.types.ContainerRegistryDestination

ContainerRegistryDestination(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The Container Registry location for the container image.

See more: google.cloud.aiplatform_v1.types.ContainerRegistryDestination

google.cloud.aiplatform_v1.types.ContainerSpec

ContainerSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The spec of a Container.

See more: google.cloud.aiplatform_v1.types.ContainerSpec

google.cloud.aiplatform_v1.types.Content

Content(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The base structured datatype containing multi-part content of a message.

See more: google.cloud.aiplatform_v1.types.Content

google.cloud.aiplatform_v1.types.Context

Context(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Instance of a general context.

See more: google.cloud.aiplatform_v1.types.Context

google.cloud.aiplatform_v1.types.Context.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.Context.LabelsEntry

google.cloud.aiplatform_v1.types.CopyModelOperationMetadata

CopyModelOperationMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Details of ModelService.CopyModel operation.

See more: google.cloud.aiplatform_v1.types.CopyModelOperationMetadata

google.cloud.aiplatform_v1.types.CopyModelRequest

CopyModelRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelService.CopyModel.

See more: google.cloud.aiplatform_v1.types.CopyModelRequest

google.cloud.aiplatform_v1.types.CopyModelResponse

CopyModelResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message of ModelService.CopyModel operation.

See more: google.cloud.aiplatform_v1.types.CopyModelResponse

google.cloud.aiplatform_v1.types.CountTokensRequest

CountTokensRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for [PredictionService.CountTokens][].

See more: google.cloud.aiplatform_v1.types.CountTokensRequest

google.cloud.aiplatform_v1.types.CountTokensResponse

CountTokensResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for [PredictionService.CountTokens][].

See more: google.cloud.aiplatform_v1.types.CountTokensResponse

google.cloud.aiplatform_v1.types.CreateArtifactRequest

CreateArtifactRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.CreateArtifact.

See more: google.cloud.aiplatform_v1.types.CreateArtifactRequest

google.cloud.aiplatform_v1.types.CreateBatchPredictionJobRequest

CreateBatchPredictionJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.CreateBatchPredictionJob.

See more: google.cloud.aiplatform_v1.types.CreateBatchPredictionJobRequest

google.cloud.aiplatform_v1.types.CreateContextRequest

CreateContextRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.CreateContext.

See more: google.cloud.aiplatform_v1.types.CreateContextRequest

google.cloud.aiplatform_v1.types.CreateCustomJobRequest

CreateCustomJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.CreateCustomJob.

See more: google.cloud.aiplatform_v1.types.CreateCustomJobRequest

google.cloud.aiplatform_v1.types.CreateDataLabelingJobRequest

CreateDataLabelingJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.CreateDataLabelingJob.

See more: google.cloud.aiplatform_v1.types.CreateDataLabelingJobRequest

google.cloud.aiplatform_v1.types.CreateDatasetOperationMetadata

CreateDatasetOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for DatasetService.CreateDataset.

See more: google.cloud.aiplatform_v1.types.CreateDatasetOperationMetadata

google.cloud.aiplatform_v1.types.CreateDatasetRequest

CreateDatasetRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.CreateDataset.

See more: google.cloud.aiplatform_v1.types.CreateDatasetRequest

google.cloud.aiplatform_v1.types.CreateDatasetVersionOperationMetadata

CreateDatasetVersionOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for DatasetService.CreateDatasetVersion.

See more: google.cloud.aiplatform_v1.types.CreateDatasetVersionOperationMetadata

google.cloud.aiplatform_v1.types.CreateDatasetVersionRequest

CreateDatasetVersionRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.CreateDatasetVersion.

See more: google.cloud.aiplatform_v1.types.CreateDatasetVersionRequest

google.cloud.aiplatform_v1.types.CreateDeploymentResourcePoolOperationMetadata

CreateDeploymentResourcePoolOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for CreateDeploymentResourcePool method.

See more: google.cloud.aiplatform_v1.types.CreateDeploymentResourcePoolOperationMetadata

google.cloud.aiplatform_v1.types.CreateDeploymentResourcePoolRequest

CreateDeploymentResourcePoolRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for CreateDeploymentResourcePool method.

See more: google.cloud.aiplatform_v1.types.CreateDeploymentResourcePoolRequest

google.cloud.aiplatform_v1.types.CreateEndpointOperationMetadata

CreateEndpointOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for EndpointService.CreateEndpoint.

See more: google.cloud.aiplatform_v1.types.CreateEndpointOperationMetadata

google.cloud.aiplatform_v1.types.CreateEndpointRequest

CreateEndpointRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for EndpointService.CreateEndpoint.

See more: google.cloud.aiplatform_v1.types.CreateEndpointRequest

google.cloud.aiplatform_v1.types.CreateEntityTypeOperationMetadata

CreateEntityTypeOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform create EntityType.

See more: google.cloud.aiplatform_v1.types.CreateEntityTypeOperationMetadata

google.cloud.aiplatform_v1.types.CreateEntityTypeRequest

CreateEntityTypeRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.CreateEntityType.

See more: google.cloud.aiplatform_v1.types.CreateEntityTypeRequest

google.cloud.aiplatform_v1.types.CreateExecutionRequest

CreateExecutionRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.CreateExecution.

See more: google.cloud.aiplatform_v1.types.CreateExecutionRequest

google.cloud.aiplatform_v1.types.CreateFeatureGroupOperationMetadata

CreateFeatureGroupOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform create FeatureGroup.

See more: google.cloud.aiplatform_v1.types.CreateFeatureGroupOperationMetadata

google.cloud.aiplatform_v1.types.CreateFeatureGroupRequest

CreateFeatureGroupRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureRegistryService.CreateFeatureGroup.

See more: google.cloud.aiplatform_v1.types.CreateFeatureGroupRequest

google.cloud.aiplatform_v1.types.CreateFeatureOnlineStoreOperationMetadata

CreateFeatureOnlineStoreOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform create FeatureOnlineStore.

See more: google.cloud.aiplatform_v1.types.CreateFeatureOnlineStoreOperationMetadata

google.cloud.aiplatform_v1.types.CreateFeatureOnlineStoreRequest

CreateFeatureOnlineStoreRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for FeatureOnlineStoreAdminService.CreateFeatureOnlineStore.

See more: google.cloud.aiplatform_v1.types.CreateFeatureOnlineStoreRequest

google.cloud.aiplatform_v1.types.CreateFeatureOperationMetadata

CreateFeatureOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform create Feature.

See more: google.cloud.aiplatform_v1.types.CreateFeatureOperationMetadata

google.cloud.aiplatform_v1.types.CreateFeatureRequest

CreateFeatureRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.CreateFeature.

See more: google.cloud.aiplatform_v1.types.CreateFeatureRequest

google.cloud.aiplatform_v1.types.CreateFeatureViewOperationMetadata

CreateFeatureViewOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform create FeatureView.

See more: google.cloud.aiplatform_v1.types.CreateFeatureViewOperationMetadata

google.cloud.aiplatform_v1.types.CreateFeatureViewRequest

CreateFeatureViewRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureOnlineStoreAdminService.CreateFeatureView.

See more: google.cloud.aiplatform_v1.types.CreateFeatureViewRequest

google.cloud.aiplatform_v1.types.CreateFeaturestoreOperationMetadata

CreateFeaturestoreOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform create Featurestore.

See more: google.cloud.aiplatform_v1.types.CreateFeaturestoreOperationMetadata

google.cloud.aiplatform_v1.types.CreateFeaturestoreRequest

CreateFeaturestoreRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.CreateFeaturestore.

See more: google.cloud.aiplatform_v1.types.CreateFeaturestoreRequest

google.cloud.aiplatform_v1.types.CreateHyperparameterTuningJobRequest

CreateHyperparameterTuningJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.CreateHyperparameterTuningJob.

See more: google.cloud.aiplatform_v1.types.CreateHyperparameterTuningJobRequest

google.cloud.aiplatform_v1.types.CreateIndexEndpointOperationMetadata

CreateIndexEndpointOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for IndexEndpointService.CreateIndexEndpoint.

See more: google.cloud.aiplatform_v1.types.CreateIndexEndpointOperationMetadata

google.cloud.aiplatform_v1.types.CreateIndexEndpointRequest

CreateIndexEndpointRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexEndpointService.CreateIndexEndpoint.

See more: google.cloud.aiplatform_v1.types.CreateIndexEndpointRequest

google.cloud.aiplatform_v1.types.CreateIndexOperationMetadata

CreateIndexOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for IndexService.CreateIndex.

See more: google.cloud.aiplatform_v1.types.CreateIndexOperationMetadata

google.cloud.aiplatform_v1.types.CreateIndexRequest

CreateIndexRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexService.CreateIndex.

See more: google.cloud.aiplatform_v1.types.CreateIndexRequest

google.cloud.aiplatform_v1.types.CreateMetadataSchemaRequest

CreateMetadataSchemaRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.CreateMetadataSchema.

See more: google.cloud.aiplatform_v1.types.CreateMetadataSchemaRequest

google.cloud.aiplatform_v1.types.CreateMetadataStoreOperationMetadata

CreateMetadataStoreOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform MetadataService.CreateMetadataStore.

See more: google.cloud.aiplatform_v1.types.CreateMetadataStoreOperationMetadata

google.cloud.aiplatform_v1.types.CreateMetadataStoreRequest

CreateMetadataStoreRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.CreateMetadataStore.

See more: google.cloud.aiplatform_v1.types.CreateMetadataStoreRequest

google.cloud.aiplatform_v1.types.CreateModelDeploymentMonitoringJobRequest

CreateModelDeploymentMonitoringJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.CreateModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1.types.CreateModelDeploymentMonitoringJobRequest

google.cloud.aiplatform_v1.types.CreateNasJobRequest

CreateNasJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.CreateNasJob.

See more: google.cloud.aiplatform_v1.types.CreateNasJobRequest

google.cloud.aiplatform_v1.types.CreateNotebookRuntimeTemplateOperationMetadata

CreateNotebookRuntimeTemplateOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Metadata information for NotebookService.CreateNotebookRuntimeTemplate.

See more: google.cloud.aiplatform_v1.types.CreateNotebookRuntimeTemplateOperationMetadata

google.cloud.aiplatform_v1.types.CreateNotebookRuntimeTemplateRequest

CreateNotebookRuntimeTemplateRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for NotebookService.CreateNotebookRuntimeTemplate.

See more: google.cloud.aiplatform_v1.types.CreateNotebookRuntimeTemplateRequest

google.cloud.aiplatform_v1.types.CreatePersistentResourceOperationMetadata

CreatePersistentResourceOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform create PersistentResource.

See more: google.cloud.aiplatform_v1.types.CreatePersistentResourceOperationMetadata

google.cloud.aiplatform_v1.types.CreatePersistentResourceRequest

CreatePersistentResourceRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for PersistentResourceService.CreatePersistentResource.

See more: google.cloud.aiplatform_v1.types.CreatePersistentResourceRequest

google.cloud.aiplatform_v1.types.CreatePipelineJobRequest

CreatePipelineJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PipelineService.CreatePipelineJob.

See more: google.cloud.aiplatform_v1.types.CreatePipelineJobRequest

google.cloud.aiplatform_v1.types.CreateRegistryFeatureOperationMetadata

CreateRegistryFeatureOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform create FeatureGroup.

See more: google.cloud.aiplatform_v1.types.CreateRegistryFeatureOperationMetadata

google.cloud.aiplatform_v1.types.CreateScheduleRequest

CreateScheduleRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ScheduleService.CreateSchedule.

See more: google.cloud.aiplatform_v1.types.CreateScheduleRequest

google.cloud.aiplatform_v1.types.CreateSpecialistPoolOperationMetadata

CreateSpecialistPoolOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for SpecialistPoolService.CreateSpecialistPool.

See more: google.cloud.aiplatform_v1.types.CreateSpecialistPoolOperationMetadata

google.cloud.aiplatform_v1.types.CreateSpecialistPoolRequest

CreateSpecialistPoolRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for SpecialistPoolService.CreateSpecialistPool.

See more: google.cloud.aiplatform_v1.types.CreateSpecialistPoolRequest

google.cloud.aiplatform_v1.types.CreateStudyRequest

CreateStudyRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.CreateStudy.

See more: google.cloud.aiplatform_v1.types.CreateStudyRequest

google.cloud.aiplatform_v1.types.CreateTensorboardExperimentRequest

CreateTensorboardExperimentRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.CreateTensorboardExperiment.

See more: google.cloud.aiplatform_v1.types.CreateTensorboardExperimentRequest

google.cloud.aiplatform_v1.types.CreateTensorboardOperationMetadata

CreateTensorboardOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform create Tensorboard.

See more: google.cloud.aiplatform_v1.types.CreateTensorboardOperationMetadata

google.cloud.aiplatform_v1.types.CreateTensorboardRequest

CreateTensorboardRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for TensorboardService.CreateTensorboard.

See more: google.cloud.aiplatform_v1.types.CreateTensorboardRequest

google.cloud.aiplatform_v1.types.CreateTensorboardRunRequest

CreateTensorboardRunRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for TensorboardService.CreateTensorboardRun.

See more: google.cloud.aiplatform_v1.types.CreateTensorboardRunRequest

google.cloud.aiplatform_v1.types.CreateTensorboardTimeSeriesRequest

CreateTensorboardTimeSeriesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.CreateTensorboardTimeSeries.

See more: google.cloud.aiplatform_v1.types.CreateTensorboardTimeSeriesRequest

google.cloud.aiplatform_v1.types.CreateTrainingPipelineRequest

CreateTrainingPipelineRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for PipelineService.CreateTrainingPipeline.

See more: google.cloud.aiplatform_v1.types.CreateTrainingPipelineRequest

google.cloud.aiplatform_v1.types.CreateTrialRequest

CreateTrialRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.CreateTrial.

See more: google.cloud.aiplatform_v1.types.CreateTrialRequest

google.cloud.aiplatform_v1.types.CreateTuningJobRequest

CreateTuningJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for GenAiTuningService.CreateTuningJob.

See more: google.cloud.aiplatform_v1.types.CreateTuningJobRequest

google.cloud.aiplatform_v1.types.CsvDestination

CsvDestination(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The storage details for CSV output content.

See more: google.cloud.aiplatform_v1.types.CsvDestination

google.cloud.aiplatform_v1.types.CsvSource

CsvSource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The storage details for CSV input content.

See more: google.cloud.aiplatform_v1.types.CsvSource

google.cloud.aiplatform_v1.types.CustomJob

CustomJob(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a job that runs custom workloads such as a Docker container or a Python package.

See more: google.cloud.aiplatform_v1.types.CustomJob

google.cloud.aiplatform_v1.types.CustomJob.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.CustomJob.LabelsEntry

google.cloud.aiplatform_v1.types.CustomJob.WebAccessUrisEntry

WebAccessUrisEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.CustomJob.WebAccessUrisEntry

google.cloud.aiplatform_v1.types.CustomJobSpec

CustomJobSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents the spec of a CustomJob.

See more: google.cloud.aiplatform_v1.types.CustomJobSpec

google.cloud.aiplatform_v1.types.DataItem

DataItem(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A piece of data in a Dataset.

See more: google.cloud.aiplatform_v1.types.DataItem

google.cloud.aiplatform_v1.types.DataItem.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.DataItem.LabelsEntry

google.cloud.aiplatform_v1.types.DataItemView

DataItemView(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A container for a single DataItem and Annotations on it.

See more: google.cloud.aiplatform_v1.types.DataItemView

google.cloud.aiplatform_v1.types.DataLabelingJob

DataLabelingJob(mapping=None, *, ignore_unknown_fields=False, **kwargs)

DataLabelingJob is used to trigger a human labeling job on unlabeled data from the following Dataset: .

See more: google.cloud.aiplatform_v1.types.DataLabelingJob

google.cloud.aiplatform_v1.types.DataLabelingJob.AnnotationLabelsEntry

AnnotationLabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.DataLabelingJob.AnnotationLabelsEntry

google.cloud.aiplatform_v1.types.DataLabelingJob.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.DataLabelingJob.LabelsEntry

google.cloud.aiplatform_v1.types.Dataset

Dataset(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A collection of DataItems and Annotations on them.

See more: google.cloud.aiplatform_v1.types.Dataset

google.cloud.aiplatform_v1.types.Dataset.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.Dataset.LabelsEntry

google.cloud.aiplatform_v1.types.DatasetVersion

DatasetVersion(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Describes the dataset version.

See more: google.cloud.aiplatform_v1.types.DatasetVersion

google.cloud.aiplatform_v1.types.DedicatedResources

DedicatedResources(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A description of resources that are dedicated to a DeployedModel, and that need a higher degree of manual configuration.

See more: google.cloud.aiplatform_v1.types.DedicatedResources

google.cloud.aiplatform_v1.types.DeleteArtifactRequest

DeleteArtifactRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.DeleteArtifact.

See more: google.cloud.aiplatform_v1.types.DeleteArtifactRequest

google.cloud.aiplatform_v1.types.DeleteBatchPredictionJobRequest

DeleteBatchPredictionJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.DeleteBatchPredictionJob.

See more: google.cloud.aiplatform_v1.types.DeleteBatchPredictionJobRequest

google.cloud.aiplatform_v1.types.DeleteContextRequest

DeleteContextRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.DeleteContext.

See more: google.cloud.aiplatform_v1.types.DeleteContextRequest

google.cloud.aiplatform_v1.types.DeleteCustomJobRequest

DeleteCustomJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.DeleteCustomJob.

See more: google.cloud.aiplatform_v1.types.DeleteCustomJobRequest

google.cloud.aiplatform_v1.types.DeleteDataLabelingJobRequest

DeleteDataLabelingJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.DeleteDataLabelingJob.

See more: google.cloud.aiplatform_v1.types.DeleteDataLabelingJobRequest

google.cloud.aiplatform_v1.types.DeleteDatasetRequest

DeleteDatasetRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.DeleteDataset.

See more: google.cloud.aiplatform_v1.types.DeleteDatasetRequest

google.cloud.aiplatform_v1.types.DeleteDatasetVersionRequest

DeleteDatasetVersionRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.DeleteDatasetVersion.

See more: google.cloud.aiplatform_v1.types.DeleteDatasetVersionRequest

google.cloud.aiplatform_v1.types.DeleteDeploymentResourcePoolRequest

DeleteDeploymentResourcePoolRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for DeleteDeploymentResourcePool method.

See more: google.cloud.aiplatform_v1.types.DeleteDeploymentResourcePoolRequest

google.cloud.aiplatform_v1.types.DeleteEndpointRequest

DeleteEndpointRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for EndpointService.DeleteEndpoint.

See more: google.cloud.aiplatform_v1.types.DeleteEndpointRequest

google.cloud.aiplatform_v1.types.DeleteEntityTypeRequest

DeleteEntityTypeRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for [FeaturestoreService.DeleteEntityTypes][].

See more: google.cloud.aiplatform_v1.types.DeleteEntityTypeRequest

google.cloud.aiplatform_v1.types.DeleteExecutionRequest

DeleteExecutionRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.DeleteExecution.

See more: google.cloud.aiplatform_v1.types.DeleteExecutionRequest

google.cloud.aiplatform_v1.types.DeleteFeatureGroupRequest

DeleteFeatureGroupRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureRegistryService.DeleteFeatureGroup.

See more: google.cloud.aiplatform_v1.types.DeleteFeatureGroupRequest

google.cloud.aiplatform_v1.types.DeleteFeatureOnlineStoreRequest

DeleteFeatureOnlineStoreRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore.

See more: google.cloud.aiplatform_v1.types.DeleteFeatureOnlineStoreRequest

google.cloud.aiplatform_v1.types.DeleteFeatureRequest

DeleteFeatureRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.DeleteFeature.

See more: google.cloud.aiplatform_v1.types.DeleteFeatureRequest

google.cloud.aiplatform_v1.types.DeleteFeatureValuesOperationMetadata

DeleteFeatureValuesOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that delete Feature values.

See more: google.cloud.aiplatform_v1.types.DeleteFeatureValuesOperationMetadata

google.cloud.aiplatform_v1.types.DeleteFeatureValuesRequest

DeleteFeatureValuesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.DeleteFeatureValues.

See more: google.cloud.aiplatform_v1.types.DeleteFeatureValuesRequest

google.cloud.aiplatform_v1.types.DeleteFeatureValuesRequest.SelectEntity

SelectEntity(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Message to select entity.

See more: google.cloud.aiplatform_v1.types.DeleteFeatureValuesRequest.SelectEntity

google.cloud.aiplatform_v1.types.DeleteFeatureValuesRequest.SelectTimeRangeAndFeature

SelectTimeRangeAndFeature(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Message to select time range and feature.

See more: google.cloud.aiplatform_v1.types.DeleteFeatureValuesRequest.SelectTimeRangeAndFeature

google.cloud.aiplatform_v1.types.DeleteFeatureValuesResponse

DeleteFeatureValuesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeaturestoreService.DeleteFeatureValues.

See more: google.cloud.aiplatform_v1.types.DeleteFeatureValuesResponse

google.cloud.aiplatform_v1.types.DeleteFeatureValuesResponse.SelectEntity

SelectEntity(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message if the request uses the SelectEntity option.

See more: google.cloud.aiplatform_v1.types.DeleteFeatureValuesResponse.SelectEntity

google.cloud.aiplatform_v1.types.DeleteFeatureValuesResponse.SelectTimeRangeAndFeature

SelectTimeRangeAndFeature(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message if the request uses the SelectTimeRangeAndFeature option.

See more: google.cloud.aiplatform_v1.types.DeleteFeatureValuesResponse.SelectTimeRangeAndFeature

google.cloud.aiplatform_v1.types.DeleteFeatureViewRequest

DeleteFeatureViewRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for [FeatureOnlineStoreAdminService.DeleteFeatureViews][].

See more: google.cloud.aiplatform_v1.types.DeleteFeatureViewRequest

google.cloud.aiplatform_v1.types.DeleteFeaturestoreRequest

DeleteFeaturestoreRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.DeleteFeaturestore.

See more: google.cloud.aiplatform_v1.types.DeleteFeaturestoreRequest

google.cloud.aiplatform_v1.types.DeleteHyperparameterTuningJobRequest

DeleteHyperparameterTuningJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.DeleteHyperparameterTuningJob.

See more: google.cloud.aiplatform_v1.types.DeleteHyperparameterTuningJobRequest

google.cloud.aiplatform_v1.types.DeleteIndexEndpointRequest

DeleteIndexEndpointRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexEndpointService.DeleteIndexEndpoint.

See more: google.cloud.aiplatform_v1.types.DeleteIndexEndpointRequest

google.cloud.aiplatform_v1.types.DeleteIndexRequest

DeleteIndexRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexService.DeleteIndex.

See more: google.cloud.aiplatform_v1.types.DeleteIndexRequest

google.cloud.aiplatform_v1.types.DeleteMetadataStoreOperationMetadata

DeleteMetadataStoreOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform MetadataService.DeleteMetadataStore.

See more: google.cloud.aiplatform_v1.types.DeleteMetadataStoreOperationMetadata

google.cloud.aiplatform_v1.types.DeleteMetadataStoreRequest

DeleteMetadataStoreRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.DeleteMetadataStore.

See more: google.cloud.aiplatform_v1.types.DeleteMetadataStoreRequest

google.cloud.aiplatform_v1.types.DeleteModelDeploymentMonitoringJobRequest

DeleteModelDeploymentMonitoringJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.DeleteModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1.types.DeleteModelDeploymentMonitoringJobRequest

google.cloud.aiplatform_v1.types.DeleteModelRequest

DeleteModelRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelService.DeleteModel.

See more: google.cloud.aiplatform_v1.types.DeleteModelRequest

google.cloud.aiplatform_v1.types.DeleteModelVersionRequest

DeleteModelVersionRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelService.DeleteModelVersion.

See more: google.cloud.aiplatform_v1.types.DeleteModelVersionRequest

google.cloud.aiplatform_v1.types.DeleteNasJobRequest

DeleteNasJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.DeleteNasJob.

See more: google.cloud.aiplatform_v1.types.DeleteNasJobRequest

google.cloud.aiplatform_v1.types.DeleteNotebookRuntimeRequest

DeleteNotebookRuntimeRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for NotebookService.DeleteNotebookRuntime.

See more: google.cloud.aiplatform_v1.types.DeleteNotebookRuntimeRequest

google.cloud.aiplatform_v1.types.DeleteNotebookRuntimeTemplateRequest

DeleteNotebookRuntimeTemplateRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for NotebookService.DeleteNotebookRuntimeTemplate.

See more: google.cloud.aiplatform_v1.types.DeleteNotebookRuntimeTemplateRequest

google.cloud.aiplatform_v1.types.DeleteOperationMetadata

DeleteOperationMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Details of operations that perform deletes of any entities.

See more: google.cloud.aiplatform_v1.types.DeleteOperationMetadata

google.cloud.aiplatform_v1.types.DeletePersistentResourceRequest

DeletePersistentResourceRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for PersistentResourceService.DeletePersistentResource.

See more: google.cloud.aiplatform_v1.types.DeletePersistentResourceRequest

google.cloud.aiplatform_v1.types.DeletePipelineJobRequest

DeletePipelineJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PipelineService.DeletePipelineJob.

See more: google.cloud.aiplatform_v1.types.DeletePipelineJobRequest

google.cloud.aiplatform_v1.types.DeleteSavedQueryRequest

DeleteSavedQueryRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.DeleteSavedQuery.

See more: google.cloud.aiplatform_v1.types.DeleteSavedQueryRequest

google.cloud.aiplatform_v1.types.DeleteScheduleRequest

DeleteScheduleRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ScheduleService.DeleteSchedule.

See more: google.cloud.aiplatform_v1.types.DeleteScheduleRequest

google.cloud.aiplatform_v1.types.DeleteSpecialistPoolRequest

DeleteSpecialistPoolRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for SpecialistPoolService.DeleteSpecialistPool.

See more: google.cloud.aiplatform_v1.types.DeleteSpecialistPoolRequest

google.cloud.aiplatform_v1.types.DeleteStudyRequest

DeleteStudyRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.DeleteStudy.

See more: google.cloud.aiplatform_v1.types.DeleteStudyRequest

google.cloud.aiplatform_v1.types.DeleteTensorboardExperimentRequest

DeleteTensorboardExperimentRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.DeleteTensorboardExperiment.

See more: google.cloud.aiplatform_v1.types.DeleteTensorboardExperimentRequest

google.cloud.aiplatform_v1.types.DeleteTensorboardRequest

DeleteTensorboardRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for TensorboardService.DeleteTensorboard.

See more: google.cloud.aiplatform_v1.types.DeleteTensorboardRequest

google.cloud.aiplatform_v1.types.DeleteTensorboardRunRequest

DeleteTensorboardRunRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for TensorboardService.DeleteTensorboardRun.

See more: google.cloud.aiplatform_v1.types.DeleteTensorboardRunRequest

google.cloud.aiplatform_v1.types.DeleteTensorboardTimeSeriesRequest

DeleteTensorboardTimeSeriesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.DeleteTensorboardTimeSeries.

See more: google.cloud.aiplatform_v1.types.DeleteTensorboardTimeSeriesRequest

google.cloud.aiplatform_v1.types.DeleteTrainingPipelineRequest

DeleteTrainingPipelineRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for PipelineService.DeleteTrainingPipeline.

See more: google.cloud.aiplatform_v1.types.DeleteTrainingPipelineRequest

google.cloud.aiplatform_v1.types.DeleteTrialRequest

DeleteTrialRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.DeleteTrial.

See more: google.cloud.aiplatform_v1.types.DeleteTrialRequest

google.cloud.aiplatform_v1.types.DeployIndexOperationMetadata

DeployIndexOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for IndexEndpointService.DeployIndex.

See more: google.cloud.aiplatform_v1.types.DeployIndexOperationMetadata

google.cloud.aiplatform_v1.types.DeployIndexRequest

DeployIndexRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexEndpointService.DeployIndex.

See more: google.cloud.aiplatform_v1.types.DeployIndexRequest

google.cloud.aiplatform_v1.types.DeployIndexResponse

DeployIndexResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for IndexEndpointService.DeployIndex.

See more: google.cloud.aiplatform_v1.types.DeployIndexResponse

google.cloud.aiplatform_v1.types.DeployModelOperationMetadata

DeployModelOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for EndpointService.DeployModel.

See more: google.cloud.aiplatform_v1.types.DeployModelOperationMetadata

google.cloud.aiplatform_v1.types.DeployModelRequest

DeployModelRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for EndpointService.DeployModel.

See more: google.cloud.aiplatform_v1.types.DeployModelRequest

google.cloud.aiplatform_v1.types.DeployModelRequest.TrafficSplitEntry

TrafficSplitEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.DeployModelRequest.TrafficSplitEntry

google.cloud.aiplatform_v1.types.DeployModelResponse

DeployModelResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for EndpointService.DeployModel.

See more: google.cloud.aiplatform_v1.types.DeployModelResponse

google.cloud.aiplatform_v1.types.DeployedIndex

DeployedIndex(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A deployment of an Index.

See more: google.cloud.aiplatform_v1.types.DeployedIndex

google.cloud.aiplatform_v1.types.DeployedIndexAuthConfig

DeployedIndexAuthConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Used to set up the auth on the DeployedIndex's private endpoint.

See more: google.cloud.aiplatform_v1.types.DeployedIndexAuthConfig

google.cloud.aiplatform_v1.types.DeployedIndexAuthConfig.AuthProvider

AuthProvider(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration for an authentication provider, including support for JSON Web Token (JWT) <https://tools.ietf.org/html/draft-ietf-oauth-json-web-token-32>__.

See more: google.cloud.aiplatform_v1.types.DeployedIndexAuthConfig.AuthProvider

google.cloud.aiplatform_v1.types.DeployedIndexRef

DeployedIndexRef(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Points to a DeployedIndex.

See more: google.cloud.aiplatform_v1.types.DeployedIndexRef

google.cloud.aiplatform_v1.types.DeployedModel

DeployedModel(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A deployment of a Model.

See more: google.cloud.aiplatform_v1.types.DeployedModel

google.cloud.aiplatform_v1.types.DeployedModelRef

DeployedModelRef(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Points to a DeployedModel.

See more: google.cloud.aiplatform_v1.types.DeployedModelRef

google.cloud.aiplatform_v1.types.DeploymentResourcePool

DeploymentResourcePool(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A description of resources that can be shared by multiple DeployedModels, whose underlying specification consists of a DedicatedResources.

See more: google.cloud.aiplatform_v1.types.DeploymentResourcePool

google.cloud.aiplatform_v1.types.DestinationFeatureSetting

DestinationFeatureSetting(mapping=None, *, ignore_unknown_fields=False, **kwargs)

See more: google.cloud.aiplatform_v1.types.DestinationFeatureSetting

google.cloud.aiplatform_v1.types.DirectPredictRequest

DirectPredictRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PredictionService.DirectPredict.

See more: google.cloud.aiplatform_v1.types.DirectPredictRequest

google.cloud.aiplatform_v1.types.DirectPredictResponse

DirectPredictResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for PredictionService.DirectPredict.

See more: google.cloud.aiplatform_v1.types.DirectPredictResponse

google.cloud.aiplatform_v1.types.DirectRawPredictRequest

DirectRawPredictRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PredictionService.DirectRawPredict.

See more: google.cloud.aiplatform_v1.types.DirectRawPredictRequest

google.cloud.aiplatform_v1.types.DirectRawPredictResponse

DirectRawPredictResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for PredictionService.DirectRawPredict.

See more: google.cloud.aiplatform_v1.types.DirectRawPredictResponse

google.cloud.aiplatform_v1.types.DiskSpec

DiskSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents the spec of disk options.

See more: google.cloud.aiplatform_v1.types.DiskSpec

google.cloud.aiplatform_v1.types.DoubleArray

DoubleArray(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A list of double values.

See more: google.cloud.aiplatform_v1.types.DoubleArray

google.cloud.aiplatform_v1.types.EncryptionSpec

EncryptionSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a customer-managed encryption key spec that can be applied to a top-level resource.

See more: google.cloud.aiplatform_v1.types.EncryptionSpec

google.cloud.aiplatform_v1.types.Endpoint

Endpoint(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Models are deployed into it, and afterwards Endpoint is called to obtain predictions and explanations.

See more: google.cloud.aiplatform_v1.types.Endpoint

google.cloud.aiplatform_v1.types.Endpoint.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.Endpoint.LabelsEntry

google.cloud.aiplatform_v1.types.Endpoint.TrafficSplitEntry

TrafficSplitEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.Endpoint.TrafficSplitEntry

google.cloud.aiplatform_v1.types.EntityIdSelector

EntityIdSelector(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Selector for entityId.

See more: google.cloud.aiplatform_v1.types.EntityIdSelector

google.cloud.aiplatform_v1.types.EntityType

EntityType(mapping=None, *, ignore_unknown_fields=False, **kwargs)

An entity type is a type of object in a system that needs to be modeled and have stored information about.

See more: google.cloud.aiplatform_v1.types.EntityType

google.cloud.aiplatform_v1.types.EntityType.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.EntityType.LabelsEntry

google.cloud.aiplatform_v1.types.EnvVar

EnvVar(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents an environment variable present in a Container or Python Module.

See more: google.cloud.aiplatform_v1.types.EnvVar

google.cloud.aiplatform_v1.types.ErrorAnalysisAnnotation

ErrorAnalysisAnnotation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Model error analysis for each annotation.

See more: google.cloud.aiplatform_v1.types.ErrorAnalysisAnnotation

google.cloud.aiplatform_v1.types.ErrorAnalysisAnnotation.AttributedItem

AttributedItem(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Attributed items for a given annotation, typically representing neighbors from the training sets constrained by the query type.

See more: google.cloud.aiplatform_v1.types.ErrorAnalysisAnnotation.AttributedItem

google.cloud.aiplatform_v1.types.ErrorAnalysisAnnotation.QueryType

QueryType(value)

The query type used for finding the attributed items.

See more: google.cloud.aiplatform_v1.types.ErrorAnalysisAnnotation.QueryType

google.cloud.aiplatform_v1.types.EvaluatedAnnotation

EvaluatedAnnotation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

True positive, false positive, or false negative.

See more: google.cloud.aiplatform_v1.types.EvaluatedAnnotation

google.cloud.aiplatform_v1.types.EvaluatedAnnotation.EvaluatedAnnotationType

EvaluatedAnnotationType(value)

Describes the type of the EvaluatedAnnotation.

See more: google.cloud.aiplatform_v1.types.EvaluatedAnnotation.EvaluatedAnnotationType

google.cloud.aiplatform_v1.types.EvaluatedAnnotationExplanation

EvaluatedAnnotationExplanation(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Explanation result of the prediction produced by the Model.

See more: google.cloud.aiplatform_v1.types.EvaluatedAnnotationExplanation

google.cloud.aiplatform_v1.types.Event

Event(mapping=None, *, ignore_unknown_fields=False, **kwargs)

An edge describing the relationship between an Artifact and an Execution in a lineage graph.

See more: google.cloud.aiplatform_v1.types.Event

google.cloud.aiplatform_v1.types.Event.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.Event.LabelsEntry

google.cloud.aiplatform_v1.types.Event.Type

Type(value)

Describes whether an Event's Artifact is the Execution's input or output.

See more: google.cloud.aiplatform_v1.types.Event.Type

google.cloud.aiplatform_v1.types.Examples

Examples(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Example-based explainability that returns the nearest neighbors from the provided dataset.

See more: google.cloud.aiplatform_v1.types.Examples

google.cloud.aiplatform_v1.types.Examples.ExampleGcsSource

ExampleGcsSource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The Cloud Storage input instances.

See more: google.cloud.aiplatform_v1.types.Examples.ExampleGcsSource

google.cloud.aiplatform_v1.types.Examples.ExampleGcsSource.DataFormat

DataFormat(value)

The format of the input example instances.

See more: google.cloud.aiplatform_v1.types.Examples.ExampleGcsSource.DataFormat

google.cloud.aiplatform_v1.types.ExamplesOverride

ExamplesOverride(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Overrides for example-based explanations.

See more: google.cloud.aiplatform_v1.types.ExamplesOverride

google.cloud.aiplatform_v1.types.ExamplesOverride.DataFormat

DataFormat(value)

Data format enum.

See more: google.cloud.aiplatform_v1.types.ExamplesOverride.DataFormat

google.cloud.aiplatform_v1.types.ExamplesRestrictionsNamespace

ExamplesRestrictionsNamespace(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Restrictions namespace for example-based explanations overrides.

See more: google.cloud.aiplatform_v1.types.ExamplesRestrictionsNamespace

google.cloud.aiplatform_v1.types.Execution

Execution(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Instance of a general execution.

See more: google.cloud.aiplatform_v1.types.Execution

google.cloud.aiplatform_v1.types.Execution.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.Execution.LabelsEntry

google.cloud.aiplatform_v1.types.Execution.State

State(value)

Describes the state of the Execution.

See more: google.cloud.aiplatform_v1.types.Execution.State

google.cloud.aiplatform_v1.types.ExplainRequest

ExplainRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PredictionService.Explain.

See more: google.cloud.aiplatform_v1.types.ExplainRequest

google.cloud.aiplatform_v1.types.ExplainResponse

ExplainResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for PredictionService.Explain.

See more: google.cloud.aiplatform_v1.types.ExplainResponse

google.cloud.aiplatform_v1.types.Explanation

Explanation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Explanation of a prediction (provided in PredictResponse.predictions) produced by the Model on a given instance.

See more: google.cloud.aiplatform_v1.types.Explanation

google.cloud.aiplatform_v1.types.ExplanationMetadata

ExplanationMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Metadata describing the Model's input and output for explanation.

See more: google.cloud.aiplatform_v1.types.ExplanationMetadata

google.cloud.aiplatform_v1.types.ExplanationMetadata.InputMetadata

InputMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Metadata of the input of a feature.

See more: google.cloud.aiplatform_v1.types.ExplanationMetadata.InputMetadata

google.cloud.aiplatform_v1.types.ExplanationMetadata.InputMetadata.Encoding

Encoding(value)

Defines how a feature is encoded.

See more: google.cloud.aiplatform_v1.types.ExplanationMetadata.InputMetadata.Encoding

google.cloud.aiplatform_v1.types.ExplanationMetadata.InputMetadata.FeatureValueDomain

FeatureValueDomain(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Domain details of the input feature value.

See more: google.cloud.aiplatform_v1.types.ExplanationMetadata.InputMetadata.FeatureValueDomain

google.cloud.aiplatform_v1.types.ExplanationMetadata.InputMetadata.Visualization

Visualization(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Visualization configurations for image explanation.

See more: google.cloud.aiplatform_v1.types.ExplanationMetadata.InputMetadata.Visualization

google.cloud.aiplatform_v1.types.ExplanationMetadata.InputMetadata.Visualization.ColorMap

ColorMap(value)

The color scheme used for highlighting areas.

See more: google.cloud.aiplatform_v1.types.ExplanationMetadata.InputMetadata.Visualization.ColorMap

google.cloud.aiplatform_v1.types.ExplanationMetadata.InputMetadata.Visualization.OverlayType

OverlayType(value)

How the original image is displayed in the visualization.

See more: google.cloud.aiplatform_v1.types.ExplanationMetadata.InputMetadata.Visualization.OverlayType

google.cloud.aiplatform_v1.types.ExplanationMetadata.InputMetadata.Visualization.Polarity

Polarity(value)

Whether to only highlight pixels with positive contributions, negative or both.

See more: google.cloud.aiplatform_v1.types.ExplanationMetadata.InputMetadata.Visualization.Polarity

google.cloud.aiplatform_v1.types.ExplanationMetadata.InputMetadata.Visualization.Type

Type(value)

Type of the image visualization.

See more: google.cloud.aiplatform_v1.types.ExplanationMetadata.InputMetadata.Visualization.Type

google.cloud.aiplatform_v1.types.ExplanationMetadata.InputsEntry

InputsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.ExplanationMetadata.InputsEntry

google.cloud.aiplatform_v1.types.ExplanationMetadata.OutputMetadata

OutputMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Metadata of the prediction output to be explained.

See more: google.cloud.aiplatform_v1.types.ExplanationMetadata.OutputMetadata

google.cloud.aiplatform_v1.types.ExplanationMetadata.OutputsEntry

OutputsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.ExplanationMetadata.OutputsEntry

google.cloud.aiplatform_v1.types.ExplanationMetadataOverride

ExplanationMetadataOverride(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The ExplanationMetadata entries that can be overridden at [online explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.

See more: google.cloud.aiplatform_v1.types.ExplanationMetadataOverride

google.cloud.aiplatform_v1.types.ExplanationMetadataOverride.InputMetadataOverride

InputMetadataOverride(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The [input metadata][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata] entries to be overridden.

See more: google.cloud.aiplatform_v1.types.ExplanationMetadataOverride.InputMetadataOverride

google.cloud.aiplatform_v1.types.ExplanationMetadataOverride.InputsEntry

InputsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.ExplanationMetadataOverride.InputsEntry

google.cloud.aiplatform_v1.types.ExplanationParameters

ExplanationParameters(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Parameters to configure explaining for Model's predictions.

See more: google.cloud.aiplatform_v1.types.ExplanationParameters

google.cloud.aiplatform_v1.types.ExplanationSpec

ExplanationSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Specification of Model explanation.

See more: google.cloud.aiplatform_v1.types.ExplanationSpec

google.cloud.aiplatform_v1.types.ExplanationSpecOverride

ExplanationSpecOverride(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The ExplanationSpec entries that can be overridden at [online explanation][google.cloud.aiplatform.v1.PredictionService.Explain] time.

See more: google.cloud.aiplatform_v1.types.ExplanationSpecOverride

google.cloud.aiplatform_v1.types.ExportDataConfig

ExportDataConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Describes what part of the Dataset is to be exported, the destination of the export and how to export.

See more: google.cloud.aiplatform_v1.types.ExportDataConfig

google.cloud.aiplatform_v1.types.ExportDataConfig.ExportUse

ExportUse(value)

ExportUse indicates the usage of the exported files.

See more: google.cloud.aiplatform_v1.types.ExportDataConfig.ExportUse

google.cloud.aiplatform_v1.types.ExportDataOperationMetadata

ExportDataOperationMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Runtime operation information for DatasetService.ExportData.

See more: google.cloud.aiplatform_v1.types.ExportDataOperationMetadata

google.cloud.aiplatform_v1.types.ExportDataRequest

ExportDataRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.ExportData.

See more: google.cloud.aiplatform_v1.types.ExportDataRequest

google.cloud.aiplatform_v1.types.ExportDataResponse

ExportDataResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for DatasetService.ExportData.

See more: google.cloud.aiplatform_v1.types.ExportDataResponse

google.cloud.aiplatform_v1.types.ExportFeatureValuesOperationMetadata

ExportFeatureValuesOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that exports Features values.

See more: google.cloud.aiplatform_v1.types.ExportFeatureValuesOperationMetadata

google.cloud.aiplatform_v1.types.ExportFeatureValuesRequest

ExportFeatureValuesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.ExportFeatureValues.

See more: google.cloud.aiplatform_v1.types.ExportFeatureValuesRequest

google.cloud.aiplatform_v1.types.ExportFeatureValuesRequest.FullExport

FullExport(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Describes exporting all historical Feature values of all entities of the EntityType between [start_time, end_time].

See more: google.cloud.aiplatform_v1.types.ExportFeatureValuesRequest.FullExport

google.cloud.aiplatform_v1.types.ExportFeatureValuesRequest.SnapshotExport

SnapshotExport(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Describes exporting the latest Feature values of all entities of the EntityType between [start_time, snapshot_time].

See more: google.cloud.aiplatform_v1.types.ExportFeatureValuesRequest.SnapshotExport

google.cloud.aiplatform_v1.types.ExportFeatureValuesResponse

ExportFeatureValuesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeaturestoreService.ExportFeatureValues.

See more: google.cloud.aiplatform_v1.types.ExportFeatureValuesResponse

google.cloud.aiplatform_v1.types.ExportFilterSplit

ExportFilterSplit(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Assigns input data to training, validation, and test sets based on the given filters, data pieces not matched by any filter are ignored.

See more: google.cloud.aiplatform_v1.types.ExportFilterSplit

google.cloud.aiplatform_v1.types.ExportFractionSplit

ExportFractionSplit(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Assigns the input data to training, validation, and test sets as per the given fractions.

See more: google.cloud.aiplatform_v1.types.ExportFractionSplit

google.cloud.aiplatform_v1.types.ExportModelOperationMetadata

ExportModelOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of ModelService.ExportModel operation.

See more: google.cloud.aiplatform_v1.types.ExportModelOperationMetadata

google.cloud.aiplatform_v1.types.ExportModelOperationMetadata.OutputInfo

OutputInfo(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Further describes the output of the ExportModel.

See more: google.cloud.aiplatform_v1.types.ExportModelOperationMetadata.OutputInfo

google.cloud.aiplatform_v1.types.ExportModelRequest

ExportModelRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelService.ExportModel.

See more: google.cloud.aiplatform_v1.types.ExportModelRequest

google.cloud.aiplatform_v1.types.ExportModelRequest.OutputConfig

OutputConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Output configuration for the Model export.

See more: google.cloud.aiplatform_v1.types.ExportModelRequest.OutputConfig

google.cloud.aiplatform_v1.types.ExportModelResponse

ExportModelResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message of ModelService.ExportModel operation.

See more: google.cloud.aiplatform_v1.types.ExportModelResponse

google.cloud.aiplatform_v1.types.ExportTensorboardTimeSeriesDataRequest

ExportTensorboardTimeSeriesDataRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.ExportTensorboardTimeSeriesData.

See more: google.cloud.aiplatform_v1.types.ExportTensorboardTimeSeriesDataRequest

google.cloud.aiplatform_v1.types.ExportTensorboardTimeSeriesDataResponse

ExportTensorboardTimeSeriesDataResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for TensorboardService.ExportTensorboardTimeSeriesData.

See more: google.cloud.aiplatform_v1.types.ExportTensorboardTimeSeriesDataResponse

google.cloud.aiplatform_v1.types.Feature

Feature(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Feature Metadata information.

See more: google.cloud.aiplatform_v1.types.Feature

google.cloud.aiplatform_v1.types.Feature.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.Feature.LabelsEntry

google.cloud.aiplatform_v1.types.Feature.MonitoringStatsAnomaly

MonitoringStatsAnomaly(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A list of historical SnapshotAnalysis or ImportFeaturesAnalysis stats requested by user, sorted by FeatureStatsAnomaly.start_time descending.

See more: google.cloud.aiplatform_v1.types.Feature.MonitoringStatsAnomaly

google.cloud.aiplatform_v1.types.Feature.MonitoringStatsAnomaly.Objective

Objective(value)

If the objective in the request is both Import Feature Analysis and Snapshot Analysis, this objective could be one of them.

See more: google.cloud.aiplatform_v1.types.Feature.MonitoringStatsAnomaly.Objective

google.cloud.aiplatform_v1.types.Feature.ValueType

ValueType(value)

Only applicable for Vertex AI Legacy Feature Store.

See more: google.cloud.aiplatform_v1.types.Feature.ValueType

google.cloud.aiplatform_v1.types.FeatureGroup

FeatureGroup(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Vertex AI Feature Group.

See more: google.cloud.aiplatform_v1.types.FeatureGroup

google.cloud.aiplatform_v1.types.FeatureGroup.BigQuery

BigQuery(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Input source type for BigQuery Tables and Views.

See more: google.cloud.aiplatform_v1.types.FeatureGroup.BigQuery

google.cloud.aiplatform_v1.types.FeatureGroup.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.FeatureGroup.LabelsEntry

google.cloud.aiplatform_v1.types.FeatureNoiseSigma

FeatureNoiseSigma(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Noise sigma by features.

See more: google.cloud.aiplatform_v1.types.FeatureNoiseSigma

google.cloud.aiplatform_v1.types.FeatureNoiseSigma.NoiseSigmaForFeature

NoiseSigmaForFeature(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Noise sigma for a single feature.

See more: google.cloud.aiplatform_v1.types.FeatureNoiseSigma.NoiseSigmaForFeature

google.cloud.aiplatform_v1.types.FeatureOnlineStore

FeatureOnlineStore(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Vertex AI Feature Online Store provides a centralized repository for serving ML features and embedding indexes at low latency.

See more: google.cloud.aiplatform_v1.types.FeatureOnlineStore

google.cloud.aiplatform_v1.types.FeatureOnlineStore.Bigtable

Bigtable(mapping=None, *, ignore_unknown_fields=False, **kwargs)

See more: google.cloud.aiplatform_v1.types.FeatureOnlineStore.Bigtable

google.cloud.aiplatform_v1.types.FeatureOnlineStore.Bigtable.AutoScaling

AutoScaling(mapping=None, *, ignore_unknown_fields=False, **kwargs)

See more: google.cloud.aiplatform_v1.types.FeatureOnlineStore.Bigtable.AutoScaling

google.cloud.aiplatform_v1.types.FeatureOnlineStore.DedicatedServingEndpoint

DedicatedServingEndpoint(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The dedicated serving endpoint for this FeatureOnlineStore.

See more: google.cloud.aiplatform_v1.types.FeatureOnlineStore.DedicatedServingEndpoint

google.cloud.aiplatform_v1.types.FeatureOnlineStore.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.FeatureOnlineStore.LabelsEntry

google.cloud.aiplatform_v1.types.FeatureOnlineStore.Optimized

Optimized(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Optimized storage type.

See more: google.cloud.aiplatform_v1.types.FeatureOnlineStore.Optimized

google.cloud.aiplatform_v1.types.FeatureOnlineStore.State

State(value)

Possible states a featureOnlineStore can have.

See more: google.cloud.aiplatform_v1.types.FeatureOnlineStore.State

google.cloud.aiplatform_v1.types.FeatureSelector

FeatureSelector(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Selector for Features of an EntityType.

See more: google.cloud.aiplatform_v1.types.FeatureSelector

google.cloud.aiplatform_v1.types.FeatureStatsAnomaly

FeatureStatsAnomaly(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Stats and Anomaly generated at specific timestamp for specific Feature.

See more: google.cloud.aiplatform_v1.types.FeatureStatsAnomaly

google.cloud.aiplatform_v1.types.FeatureValue

FeatureValue(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Value for a feature.

See more: google.cloud.aiplatform_v1.types.FeatureValue

google.cloud.aiplatform_v1.types.FeatureValue.Metadata

Metadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Metadata of feature value.

See more: google.cloud.aiplatform_v1.types.FeatureValue.Metadata

google.cloud.aiplatform_v1.types.FeatureValueDestination

FeatureValueDestination(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A destination location for Feature values and format.

See more: google.cloud.aiplatform_v1.types.FeatureValueDestination

google.cloud.aiplatform_v1.types.FeatureValueList

FeatureValueList(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Container for list of values.

See more: google.cloud.aiplatform_v1.types.FeatureValueList

google.cloud.aiplatform_v1.types.FeatureView

FeatureView(mapping=None, *, ignore_unknown_fields=False, **kwargs)

FeatureView is representation of values that the FeatureOnlineStore will serve based on its syncConfig.

See more: google.cloud.aiplatform_v1.types.FeatureView

google.cloud.aiplatform_v1.types.FeatureView.BigQuerySource

BigQuerySource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

See more: google.cloud.aiplatform_v1.types.FeatureView.BigQuerySource

google.cloud.aiplatform_v1.types.FeatureView.FeatureRegistrySource

FeatureRegistrySource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A Feature Registry source for features that need to be synced to Online Store.

See more: google.cloud.aiplatform_v1.types.FeatureView.FeatureRegistrySource

google.cloud.aiplatform_v1.types.FeatureView.FeatureRegistrySource.FeatureGroup

FeatureGroup(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Features belonging to a single feature group that will be synced to Online Store.

See more: google.cloud.aiplatform_v1.types.FeatureView.FeatureRegistrySource.FeatureGroup

google.cloud.aiplatform_v1.types.FeatureView.IndexConfig

IndexConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration for vector indexing.

See more: google.cloud.aiplatform_v1.types.FeatureView.IndexConfig

google.cloud.aiplatform_v1.types.FeatureView.IndexConfig.BruteForceConfig

BruteForceConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration options for using brute force search.

See more: google.cloud.aiplatform_v1.types.FeatureView.IndexConfig.BruteForceConfig

google.cloud.aiplatform_v1.types.FeatureView.IndexConfig.DistanceMeasureType

DistanceMeasureType(value)

The distance measure used in nearest neighbor search.

See more: google.cloud.aiplatform_v1.types.FeatureView.IndexConfig.DistanceMeasureType

google.cloud.aiplatform_v1.types.FeatureView.IndexConfig.TreeAHConfig

TreeAHConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration options for the tree-AH algorithm.

See more: google.cloud.aiplatform_v1.types.FeatureView.IndexConfig.TreeAHConfig

google.cloud.aiplatform_v1.types.FeatureView.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.FeatureView.LabelsEntry

google.cloud.aiplatform_v1.types.FeatureView.SyncConfig

SyncConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration for Sync.

See more: google.cloud.aiplatform_v1.types.FeatureView.SyncConfig

google.cloud.aiplatform_v1.types.FeatureViewDataFormat

FeatureViewDataFormat(value)

Format of the data in the Feature View.

See more: google.cloud.aiplatform_v1.types.FeatureViewDataFormat

google.cloud.aiplatform_v1.types.FeatureViewDataKey

FeatureViewDataKey(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Lookup key for a feature view.

See more: google.cloud.aiplatform_v1.types.FeatureViewDataKey

google.cloud.aiplatform_v1.types.FeatureViewDataKey.CompositeKey

CompositeKey(mapping=None, *, ignore_unknown_fields=False, **kwargs)

ID that is comprised from several parts (columns).

See more: google.cloud.aiplatform_v1.types.FeatureViewDataKey.CompositeKey

google.cloud.aiplatform_v1.types.FeatureViewSync

FeatureViewSync(mapping=None, *, ignore_unknown_fields=False, **kwargs)

FeatureViewSync is a representation of sync operation which copies data from data source to Feature View in Online Store.

See more: google.cloud.aiplatform_v1.types.FeatureViewSync

google.cloud.aiplatform_v1.types.FeatureViewSync.SyncSummary

SyncSummary(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Summary from the Sync job.

See more: google.cloud.aiplatform_v1.types.FeatureViewSync.SyncSummary

google.cloud.aiplatform_v1.types.Featurestore

Featurestore(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Vertex AI Feature Store provides a centralized repository for organizing, storing, and serving ML features.

See more: google.cloud.aiplatform_v1.types.Featurestore

google.cloud.aiplatform_v1.types.Featurestore.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.Featurestore.LabelsEntry

google.cloud.aiplatform_v1.types.Featurestore.OnlineServingConfig

OnlineServingConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

OnlineServingConfig specifies the details for provisioning online serving resources.

See more: google.cloud.aiplatform_v1.types.Featurestore.OnlineServingConfig

google.cloud.aiplatform_v1.types.Featurestore.OnlineServingConfig.Scaling

Scaling(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Online serving scaling configuration.

See more: google.cloud.aiplatform_v1.types.Featurestore.OnlineServingConfig.Scaling

google.cloud.aiplatform_v1.types.Featurestore.State

State(value)

Possible states a featurestore can have.

See more: google.cloud.aiplatform_v1.types.Featurestore.State

google.cloud.aiplatform_v1.types.FeaturestoreMonitoringConfig

FeaturestoreMonitoringConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Configuration of how features in Featurestore are monitored.

See more: google.cloud.aiplatform_v1.types.FeaturestoreMonitoringConfig

google.cloud.aiplatform_v1.types.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis

ImportFeaturesAnalysis(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration of the Featurestore's ImportFeature Analysis Based Monitoring.

See more: google.cloud.aiplatform_v1.types.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis

google.cloud.aiplatform_v1.types.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Baseline

Baseline(value)

Defines the baseline to do anomaly detection for feature values imported by each ImportFeatureValues operation.

See more: google.cloud.aiplatform_v1.types.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Baseline

google.cloud.aiplatform_v1.types.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.State

State(value)

The state defines whether to enable ImportFeature analysis.

See more: google.cloud.aiplatform_v1.types.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.State

google.cloud.aiplatform_v1.types.FeaturestoreMonitoringConfig.SnapshotAnalysis

SnapshotAnalysis(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration of the Featurestore's Snapshot Analysis Based Monitoring.

See more: google.cloud.aiplatform_v1.types.FeaturestoreMonitoringConfig.SnapshotAnalysis

google.cloud.aiplatform_v1.types.FeaturestoreMonitoringConfig.ThresholdConfig

ThresholdConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The config for Featurestore Monitoring threshold.

See more: google.cloud.aiplatform_v1.types.FeaturestoreMonitoringConfig.ThresholdConfig

google.cloud.aiplatform_v1.types.FetchFeatureValuesRequest

FetchFeatureValuesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureOnlineStoreService.FetchFeatureValues.

See more: google.cloud.aiplatform_v1.types.FetchFeatureValuesRequest

google.cloud.aiplatform_v1.types.FetchFeatureValuesResponse

FetchFeatureValuesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeatureOnlineStoreService.FetchFeatureValues.

See more: google.cloud.aiplatform_v1.types.FetchFeatureValuesResponse

google.cloud.aiplatform_v1.types.FetchFeatureValuesResponse.FeatureNameValuePairList

FeatureNameValuePairList(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response structure in the format of key (feature name) and (feature) value pair.

See more: google.cloud.aiplatform_v1.types.FetchFeatureValuesResponse.FeatureNameValuePairList

google.cloud.aiplatform_v1.types.FetchFeatureValuesResponse.FeatureNameValuePairList.FeatureNameValuePair

FeatureNameValuePair(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Feature name & value pair.

See more: google.cloud.aiplatform_v1.types.FetchFeatureValuesResponse.FeatureNameValuePairList.FeatureNameValuePair

google.cloud.aiplatform_v1.types.FileData

FileData(mapping=None, *, ignore_unknown_fields=False, **kwargs)

URI based data.

See more: google.cloud.aiplatform_v1.types.FileData

google.cloud.aiplatform_v1.types.FilterSplit

FilterSplit(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Assigns input data to training, validation, and test sets based on the given filters, data pieces not matched by any filter are ignored.

See more: google.cloud.aiplatform_v1.types.FilterSplit

google.cloud.aiplatform_v1.types.FindNeighborsRequest

FindNeighborsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The request message for MatchService.FindNeighbors.

See more: google.cloud.aiplatform_v1.types.FindNeighborsRequest

google.cloud.aiplatform_v1.types.FindNeighborsRequest.Query

Query(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A query to find a number of the nearest neighbors (most similar vectors) of a vector.

See more: google.cloud.aiplatform_v1.types.FindNeighborsRequest.Query

google.cloud.aiplatform_v1.types.FindNeighborsResponse

FindNeighborsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The response message for MatchService.FindNeighbors.

See more: google.cloud.aiplatform_v1.types.FindNeighborsResponse

google.cloud.aiplatform_v1.types.FindNeighborsResponse.NearestNeighbors

NearestNeighbors(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Nearest neighbors for one query.

See more: google.cloud.aiplatform_v1.types.FindNeighborsResponse.NearestNeighbors

google.cloud.aiplatform_v1.types.FindNeighborsResponse.Neighbor

Neighbor(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A neighbor of the query vector.

See more: google.cloud.aiplatform_v1.types.FindNeighborsResponse.Neighbor

google.cloud.aiplatform_v1.types.FractionSplit

FractionSplit(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Assigns the input data to training, validation, and test sets as per the given fractions.

See more: google.cloud.aiplatform_v1.types.FractionSplit

google.cloud.aiplatform_v1.types.FunctionCall

FunctionCall(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing the parameters and their values.

See more: google.cloud.aiplatform_v1.types.FunctionCall

google.cloud.aiplatform_v1.types.FunctionDeclaration

FunctionDeclaration(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Structured representation of a function declaration as defined by the OpenAPI 3.0 specification <https://spec.openapis.org/oas/v3.0.3>__.

See more: google.cloud.aiplatform_v1.types.FunctionDeclaration

google.cloud.aiplatform_v1.types.FunctionResponse

FunctionResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The result output from a [FunctionCall] that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing any output from the function is used as context to the model.

See more: google.cloud.aiplatform_v1.types.FunctionResponse

google.cloud.aiplatform_v1.types.GcsDestination

GcsDestination(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The Google Cloud Storage location where the output is to be written to.

See more: google.cloud.aiplatform_v1.types.GcsDestination

google.cloud.aiplatform_v1.types.GcsSource

GcsSource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The Google Cloud Storage location for the input content.

See more: google.cloud.aiplatform_v1.types.GcsSource

google.cloud.aiplatform_v1.types.GenerateContentRequest

GenerateContentRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for [PredictionService.GenerateContent].

See more: google.cloud.aiplatform_v1.types.GenerateContentRequest

google.cloud.aiplatform_v1.types.GenerateContentResponse

GenerateContentResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for [PredictionService.GenerateContent].

See more: google.cloud.aiplatform_v1.types.GenerateContentResponse

google.cloud.aiplatform_v1.types.GenerateContentResponse.PromptFeedback

PromptFeedback(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Content filter results for a prompt sent in the request.

See more: google.cloud.aiplatform_v1.types.GenerateContentResponse.PromptFeedback

google.cloud.aiplatform_v1.types.GenerateContentResponse.PromptFeedback.BlockedReason

BlockedReason(value)

Blocked reason enumeration.

See more: google.cloud.aiplatform_v1.types.GenerateContentResponse.PromptFeedback.BlockedReason

google.cloud.aiplatform_v1.types.GenerateContentResponse.UsageMetadata

UsageMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Usage metadata about response(s).

See more: google.cloud.aiplatform_v1.types.GenerateContentResponse.UsageMetadata

google.cloud.aiplatform_v1.types.GenerationConfig

GenerationConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Generation config.

See more: google.cloud.aiplatform_v1.types.GenerationConfig

google.cloud.aiplatform_v1.types.GenericOperationMetadata

GenericOperationMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Generic Metadata shared by all operations.

See more: google.cloud.aiplatform_v1.types.GenericOperationMetadata

google.cloud.aiplatform_v1.types.GenieSource

GenieSource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Contains information about the source of the models generated from Generative AI Studio.

See more: google.cloud.aiplatform_v1.types.GenieSource

google.cloud.aiplatform_v1.types.GetAnnotationSpecRequest

GetAnnotationSpecRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.GetAnnotationSpec.

See more: google.cloud.aiplatform_v1.types.GetAnnotationSpecRequest

google.cloud.aiplatform_v1.types.GetArtifactRequest

GetArtifactRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.GetArtifact.

See more: google.cloud.aiplatform_v1.types.GetArtifactRequest

google.cloud.aiplatform_v1.types.GetBatchPredictionJobRequest

GetBatchPredictionJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.GetBatchPredictionJob.

See more: google.cloud.aiplatform_v1.types.GetBatchPredictionJobRequest

google.cloud.aiplatform_v1.types.GetContextRequest

GetContextRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.GetContext.

See more: google.cloud.aiplatform_v1.types.GetContextRequest

google.cloud.aiplatform_v1.types.GetCustomJobRequest

GetCustomJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.GetCustomJob.

See more: google.cloud.aiplatform_v1.types.GetCustomJobRequest

google.cloud.aiplatform_v1.types.GetDataLabelingJobRequest

GetDataLabelingJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.GetDataLabelingJob.

See more: google.cloud.aiplatform_v1.types.GetDataLabelingJobRequest

google.cloud.aiplatform_v1.types.GetDatasetRequest

GetDatasetRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.GetDataset.

See more: google.cloud.aiplatform_v1.types.GetDatasetRequest

google.cloud.aiplatform_v1.types.GetDatasetVersionRequest

GetDatasetVersionRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.GetDatasetVersion.

See more: google.cloud.aiplatform_v1.types.GetDatasetVersionRequest

google.cloud.aiplatform_v1.types.GetDeploymentResourcePoolRequest

GetDeploymentResourcePoolRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for GetDeploymentResourcePool method.

See more: google.cloud.aiplatform_v1.types.GetDeploymentResourcePoolRequest

google.cloud.aiplatform_v1.types.GetEndpointRequest

GetEndpointRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for EndpointService.GetEndpoint .

See more: google.cloud.aiplatform_v1.types.GetEndpointRequest

google.cloud.aiplatform_v1.types.GetEntityTypeRequest

GetEntityTypeRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.GetEntityType.

See more: google.cloud.aiplatform_v1.types.GetEntityTypeRequest

google.cloud.aiplatform_v1.types.GetExecutionRequest

GetExecutionRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.GetExecution.

See more: google.cloud.aiplatform_v1.types.GetExecutionRequest

google.cloud.aiplatform_v1.types.GetFeatureGroupRequest

GetFeatureGroupRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureRegistryService.GetFeatureGroup.

See more: google.cloud.aiplatform_v1.types.GetFeatureGroupRequest

google.cloud.aiplatform_v1.types.GetFeatureOnlineStoreRequest

GetFeatureOnlineStoreRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for FeatureOnlineStoreAdminService.GetFeatureOnlineStore.

See more: google.cloud.aiplatform_v1.types.GetFeatureOnlineStoreRequest

google.cloud.aiplatform_v1.types.GetFeatureRequest

GetFeatureRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.GetFeature.

See more: google.cloud.aiplatform_v1.types.GetFeatureRequest

google.cloud.aiplatform_v1.types.GetFeatureViewRequest

GetFeatureViewRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureOnlineStoreAdminService.GetFeatureView.

See more: google.cloud.aiplatform_v1.types.GetFeatureViewRequest

google.cloud.aiplatform_v1.types.GetFeatureViewSyncRequest

GetFeatureViewSyncRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureOnlineStoreAdminService.GetFeatureViewSync.

See more: google.cloud.aiplatform_v1.types.GetFeatureViewSyncRequest

google.cloud.aiplatform_v1.types.GetFeaturestoreRequest

GetFeaturestoreRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.GetFeaturestore.

See more: google.cloud.aiplatform_v1.types.GetFeaturestoreRequest

google.cloud.aiplatform_v1.types.GetHyperparameterTuningJobRequest

GetHyperparameterTuningJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.GetHyperparameterTuningJob.

See more: google.cloud.aiplatform_v1.types.GetHyperparameterTuningJobRequest

google.cloud.aiplatform_v1.types.GetIndexEndpointRequest

GetIndexEndpointRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexEndpointService.GetIndexEndpoint .

See more: google.cloud.aiplatform_v1.types.GetIndexEndpointRequest

google.cloud.aiplatform_v1.types.GetIndexRequest

GetIndexRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexService.GetIndex .

See more: google.cloud.aiplatform_v1.types.GetIndexRequest

google.cloud.aiplatform_v1.types.GetMetadataSchemaRequest

GetMetadataSchemaRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.GetMetadataSchema.

See more: google.cloud.aiplatform_v1.types.GetMetadataSchemaRequest

google.cloud.aiplatform_v1.types.GetMetadataStoreRequest

GetMetadataStoreRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.GetMetadataStore.

See more: google.cloud.aiplatform_v1.types.GetMetadataStoreRequest

google.cloud.aiplatform_v1.types.GetModelDeploymentMonitoringJobRequest

GetModelDeploymentMonitoringJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.GetModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1.types.GetModelDeploymentMonitoringJobRequest

google.cloud.aiplatform_v1.types.GetModelEvaluationRequest

GetModelEvaluationRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelService.GetModelEvaluation.

See more: google.cloud.aiplatform_v1.types.GetModelEvaluationRequest

google.cloud.aiplatform_v1.types.GetModelEvaluationSliceRequest

GetModelEvaluationSliceRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for ModelService.GetModelEvaluationSlice.

See more: google.cloud.aiplatform_v1.types.GetModelEvaluationSliceRequest

google.cloud.aiplatform_v1.types.GetModelRequest

GetModelRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelService.GetModel.

See more: google.cloud.aiplatform_v1.types.GetModelRequest

google.cloud.aiplatform_v1.types.GetNasJobRequest

GetNasJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.GetNasJob.

See more: google.cloud.aiplatform_v1.types.GetNasJobRequest

google.cloud.aiplatform_v1.types.GetNasTrialDetailRequest

GetNasTrialDetailRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.GetNasTrialDetail.

See more: google.cloud.aiplatform_v1.types.GetNasTrialDetailRequest

google.cloud.aiplatform_v1.types.GetNotebookRuntimeRequest

GetNotebookRuntimeRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for NotebookService.GetNotebookRuntime .

See more: google.cloud.aiplatform_v1.types.GetNotebookRuntimeRequest

google.cloud.aiplatform_v1.types.GetNotebookRuntimeTemplateRequest

GetNotebookRuntimeTemplateRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for NotebookService.GetNotebookRuntimeTemplate .

See more: google.cloud.aiplatform_v1.types.GetNotebookRuntimeTemplateRequest

google.cloud.aiplatform_v1.types.GetPersistentResourceRequest

GetPersistentResourceRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for PersistentResourceService.GetPersistentResource.

See more: google.cloud.aiplatform_v1.types.GetPersistentResourceRequest

google.cloud.aiplatform_v1.types.GetPipelineJobRequest

GetPipelineJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PipelineService.GetPipelineJob.

See more: google.cloud.aiplatform_v1.types.GetPipelineJobRequest

google.cloud.aiplatform_v1.types.GetPublisherModelRequest

GetPublisherModelRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelGardenService.GetPublisherModel .

See more: google.cloud.aiplatform_v1.types.GetPublisherModelRequest

google.cloud.aiplatform_v1.types.GetScheduleRequest

GetScheduleRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ScheduleService.GetSchedule.

See more: google.cloud.aiplatform_v1.types.GetScheduleRequest

google.cloud.aiplatform_v1.types.GetSpecialistPoolRequest

GetSpecialistPoolRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for SpecialistPoolService.GetSpecialistPool.

See more: google.cloud.aiplatform_v1.types.GetSpecialistPoolRequest

google.cloud.aiplatform_v1.types.GetStudyRequest

GetStudyRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.GetStudy.

See more: google.cloud.aiplatform_v1.types.GetStudyRequest

google.cloud.aiplatform_v1.types.GetTensorboardExperimentRequest

GetTensorboardExperimentRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.GetTensorboardExperiment.

See more: google.cloud.aiplatform_v1.types.GetTensorboardExperimentRequest

google.cloud.aiplatform_v1.types.GetTensorboardRequest

GetTensorboardRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for TensorboardService.GetTensorboard.

See more: google.cloud.aiplatform_v1.types.GetTensorboardRequest

google.cloud.aiplatform_v1.types.GetTensorboardRunRequest

GetTensorboardRunRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for TensorboardService.GetTensorboardRun.

See more: google.cloud.aiplatform_v1.types.GetTensorboardRunRequest

google.cloud.aiplatform_v1.types.GetTensorboardTimeSeriesRequest

GetTensorboardTimeSeriesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.GetTensorboardTimeSeries.

See more: google.cloud.aiplatform_v1.types.GetTensorboardTimeSeriesRequest

google.cloud.aiplatform_v1.types.GetTrainingPipelineRequest

GetTrainingPipelineRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PipelineService.GetTrainingPipeline.

See more: google.cloud.aiplatform_v1.types.GetTrainingPipelineRequest

google.cloud.aiplatform_v1.types.GetTrialRequest

GetTrialRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.GetTrial.

See more: google.cloud.aiplatform_v1.types.GetTrialRequest

google.cloud.aiplatform_v1.types.GetTuningJobRequest

GetTuningJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for GenAiTuningService.GetTuningJob.

See more: google.cloud.aiplatform_v1.types.GetTuningJobRequest

google.cloud.aiplatform_v1.types.GoogleSearchRetrieval

GoogleSearchRetrieval(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Tool to retrieve public web data for grounding, powered by Google.

See more: google.cloud.aiplatform_v1.types.GoogleSearchRetrieval

google.cloud.aiplatform_v1.types.GroundingAttribution

GroundingAttribution(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Grounding attribution.

See more: google.cloud.aiplatform_v1.types.GroundingAttribution

google.cloud.aiplatform_v1.types.GroundingAttribution.Web

Web(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Attribution from the web.

See more: google.cloud.aiplatform_v1.types.GroundingAttribution.Web

google.cloud.aiplatform_v1.types.GroundingMetadata

GroundingMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Metadata returned to client when grounding is enabled.

See more: google.cloud.aiplatform_v1.types.GroundingMetadata

google.cloud.aiplatform_v1.types.HarmCategory

HarmCategory(value)

Harm categories that will block the content.

See more: google.cloud.aiplatform_v1.types.HarmCategory

google.cloud.aiplatform_v1.types.HyperparameterTuningJob

HyperparameterTuningJob(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a HyperparameterTuningJob.

See more: google.cloud.aiplatform_v1.types.HyperparameterTuningJob

google.cloud.aiplatform_v1.types.HyperparameterTuningJob.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.HyperparameterTuningJob.LabelsEntry

google.cloud.aiplatform_v1.types.IdMatcher

IdMatcher(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Matcher for Features of an EntityType by Feature ID.

See more: google.cloud.aiplatform_v1.types.IdMatcher

google.cloud.aiplatform_v1.types.ImportDataConfig

ImportDataConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Describes the location from where we import data into a Dataset, together with the labels that will be applied to the DataItems and the Annotations.

See more: google.cloud.aiplatform_v1.types.ImportDataConfig

google.cloud.aiplatform_v1.types.ImportDataConfig.AnnotationLabelsEntry

AnnotationLabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.ImportDataConfig.AnnotationLabelsEntry

google.cloud.aiplatform_v1.types.ImportDataConfig.DataItemLabelsEntry

DataItemLabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.ImportDataConfig.DataItemLabelsEntry

google.cloud.aiplatform_v1.types.ImportDataOperationMetadata

ImportDataOperationMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Runtime operation information for DatasetService.ImportData.

See more: google.cloud.aiplatform_v1.types.ImportDataOperationMetadata

google.cloud.aiplatform_v1.types.ImportDataRequest

ImportDataRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.ImportData.

See more: google.cloud.aiplatform_v1.types.ImportDataRequest

google.cloud.aiplatform_v1.types.ImportDataResponse

ImportDataResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for DatasetService.ImportData.

See more: google.cloud.aiplatform_v1.types.ImportDataResponse

google.cloud.aiplatform_v1.types.ImportFeatureValuesOperationMetadata

ImportFeatureValuesOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform import Feature values.

See more: google.cloud.aiplatform_v1.types.ImportFeatureValuesOperationMetadata

google.cloud.aiplatform_v1.types.ImportFeatureValuesRequest

ImportFeatureValuesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.ImportFeatureValues.

See more: google.cloud.aiplatform_v1.types.ImportFeatureValuesRequest

google.cloud.aiplatform_v1.types.ImportFeatureValuesRequest.FeatureSpec

FeatureSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Defines the Feature value(s) to import.

See more: google.cloud.aiplatform_v1.types.ImportFeatureValuesRequest.FeatureSpec

google.cloud.aiplatform_v1.types.ImportFeatureValuesResponse

ImportFeatureValuesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeaturestoreService.ImportFeatureValues.

See more: google.cloud.aiplatform_v1.types.ImportFeatureValuesResponse

google.cloud.aiplatform_v1.types.ImportModelEvaluationRequest

ImportModelEvaluationRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for ModelService.ImportModelEvaluation .

See more: google.cloud.aiplatform_v1.types.ImportModelEvaluationRequest

google.cloud.aiplatform_v1.types.Index

Index(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A representation of a collection of database items organized in a way that allows for approximate nearest neighbor (a.k.a ANN) algorithms search.

See more: google.cloud.aiplatform_v1.types.Index

google.cloud.aiplatform_v1.types.Index.IndexUpdateMethod

IndexUpdateMethod(value)

The update method of an Index.

See more: google.cloud.aiplatform_v1.types.Index.IndexUpdateMethod

google.cloud.aiplatform_v1.types.Index.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.Index.LabelsEntry

google.cloud.aiplatform_v1.types.IndexDatapoint

IndexDatapoint(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A datapoint of Index.

See more: google.cloud.aiplatform_v1.types.IndexDatapoint

google.cloud.aiplatform_v1.types.IndexDatapoint.CrowdingTag

CrowdingTag(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Crowding tag is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowding_attribute.

See more: google.cloud.aiplatform_v1.types.IndexDatapoint.CrowdingTag

google.cloud.aiplatform_v1.types.IndexDatapoint.NumericRestriction

NumericRestriction(mapping=None, *, ignore_unknown_fields=False, **kwargs)

This field allows restricts to be based on numeric comparisons rather than categorical tokens.

See more: google.cloud.aiplatform_v1.types.IndexDatapoint.NumericRestriction

google.cloud.aiplatform_v1.types.IndexDatapoint.NumericRestriction.Operator

Operator(value)

Which comparison operator to use.

See more: google.cloud.aiplatform_v1.types.IndexDatapoint.NumericRestriction.Operator

google.cloud.aiplatform_v1.types.IndexDatapoint.Restriction

Restriction(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Restriction of a datapoint which describe its attributes(tokens) from each of several attribute categories(namespaces).

See more: google.cloud.aiplatform_v1.types.IndexDatapoint.Restriction

google.cloud.aiplatform_v1.types.IndexEndpoint

IndexEndpoint(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Indexes are deployed into it.

See more: google.cloud.aiplatform_v1.types.IndexEndpoint

google.cloud.aiplatform_v1.types.IndexEndpoint.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.IndexEndpoint.LabelsEntry

google.cloud.aiplatform_v1.types.IndexPrivateEndpoints

IndexPrivateEndpoints(mapping=None, *, ignore_unknown_fields=False, **kwargs)

IndexPrivateEndpoints proto is used to provide paths for users to send requests via private endpoints (e.g.

See more: google.cloud.aiplatform_v1.types.IndexPrivateEndpoints

google.cloud.aiplatform_v1.types.IndexStats

IndexStats(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Stats of the Index.

See more: google.cloud.aiplatform_v1.types.IndexStats

google.cloud.aiplatform_v1.types.InputDataConfig

InputDataConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Specifies Vertex AI owned input data to be used for training, and possibly evaluating, the Model.

See more: google.cloud.aiplatform_v1.types.InputDataConfig

google.cloud.aiplatform_v1.types.Int64Array

Int64Array(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A list of int64 values.

See more: google.cloud.aiplatform_v1.types.Int64Array

google.cloud.aiplatform_v1.types.IntegratedGradientsAttribution

IntegratedGradientsAttribution(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

An attribution method that computes the Aumann-Shapley value taking advantage of the model's fully differentiable structure.

See more: google.cloud.aiplatform_v1.types.IntegratedGradientsAttribution

google.cloud.aiplatform_v1.types.JobState

JobState(value)

Describes the state of a job.

See more: google.cloud.aiplatform_v1.types.JobState

google.cloud.aiplatform_v1.types.LargeModelReference

LargeModelReference(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Contains information about the Large Model.

See more: google.cloud.aiplatform_v1.types.LargeModelReference

google.cloud.aiplatform_v1.types.LineageSubgraph

LineageSubgraph(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A subgraph of the overall lineage graph.

See more: google.cloud.aiplatform_v1.types.LineageSubgraph

google.cloud.aiplatform_v1.types.ListAnnotationsRequest

ListAnnotationsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.ListAnnotations.

See more: google.cloud.aiplatform_v1.types.ListAnnotationsRequest

google.cloud.aiplatform_v1.types.ListAnnotationsResponse

ListAnnotationsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for DatasetService.ListAnnotations.

See more: google.cloud.aiplatform_v1.types.ListAnnotationsResponse

google.cloud.aiplatform_v1.types.ListArtifactsRequest

ListArtifactsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.ListArtifacts.

See more: google.cloud.aiplatform_v1.types.ListArtifactsRequest

google.cloud.aiplatform_v1.types.ListArtifactsResponse

ListArtifactsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for MetadataService.ListArtifacts.

See more: google.cloud.aiplatform_v1.types.ListArtifactsResponse

google.cloud.aiplatform_v1.types.ListBatchPredictionJobsRequest

ListBatchPredictionJobsRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.ListBatchPredictionJobs.

See more: google.cloud.aiplatform_v1.types.ListBatchPredictionJobsRequest

google.cloud.aiplatform_v1.types.ListBatchPredictionJobsResponse

ListBatchPredictionJobsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for JobService.ListBatchPredictionJobs .

See more: google.cloud.aiplatform_v1.types.ListBatchPredictionJobsResponse

google.cloud.aiplatform_v1.types.ListContextsRequest

ListContextsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.ListContexts .

See more: google.cloud.aiplatform_v1.types.ListContextsRequest

google.cloud.aiplatform_v1.types.ListContextsResponse

ListContextsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for MetadataService.ListContexts.

See more: google.cloud.aiplatform_v1.types.ListContextsResponse

google.cloud.aiplatform_v1.types.ListCustomJobsRequest

ListCustomJobsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.ListCustomJobs.

See more: google.cloud.aiplatform_v1.types.ListCustomJobsRequest

google.cloud.aiplatform_v1.types.ListCustomJobsResponse

ListCustomJobsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for JobService.ListCustomJobs .

See more: google.cloud.aiplatform_v1.types.ListCustomJobsResponse

google.cloud.aiplatform_v1.types.ListDataItemsRequest

ListDataItemsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.ListDataItems.

See more: google.cloud.aiplatform_v1.types.ListDataItemsRequest

google.cloud.aiplatform_v1.types.ListDataItemsResponse

ListDataItemsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for DatasetService.ListDataItems.

See more: google.cloud.aiplatform_v1.types.ListDataItemsResponse

google.cloud.aiplatform_v1.types.ListDataLabelingJobsRequest

ListDataLabelingJobsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.ListDataLabelingJobs.

See more: google.cloud.aiplatform_v1.types.ListDataLabelingJobsRequest

google.cloud.aiplatform_v1.types.ListDataLabelingJobsResponse

ListDataLabelingJobsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for JobService.ListDataLabelingJobs.

See more: google.cloud.aiplatform_v1.types.ListDataLabelingJobsResponse

google.cloud.aiplatform_v1.types.ListDatasetVersionsRequest

ListDatasetVersionsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.ListDatasetVersions.

See more: google.cloud.aiplatform_v1.types.ListDatasetVersionsRequest

google.cloud.aiplatform_v1.types.ListDatasetVersionsResponse

ListDatasetVersionsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for DatasetService.ListDatasetVersions.

See more: google.cloud.aiplatform_v1.types.ListDatasetVersionsResponse

google.cloud.aiplatform_v1.types.ListDatasetsRequest

ListDatasetsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.ListDatasets.

See more: google.cloud.aiplatform_v1.types.ListDatasetsRequest

google.cloud.aiplatform_v1.types.ListDatasetsResponse

ListDatasetsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for DatasetService.ListDatasets.

See more: google.cloud.aiplatform_v1.types.ListDatasetsResponse

google.cloud.aiplatform_v1.types.ListDeploymentResourcePoolsRequest

ListDeploymentResourcePoolsRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for ListDeploymentResourcePools method.

See more: google.cloud.aiplatform_v1.types.ListDeploymentResourcePoolsRequest

google.cloud.aiplatform_v1.types.ListDeploymentResourcePoolsResponse

ListDeploymentResourcePoolsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for ListDeploymentResourcePools method.

See more: google.cloud.aiplatform_v1.types.ListDeploymentResourcePoolsResponse

google.cloud.aiplatform_v1.types.ListEndpointsRequest

ListEndpointsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for EndpointService.ListEndpoints.

See more: google.cloud.aiplatform_v1.types.ListEndpointsRequest

google.cloud.aiplatform_v1.types.ListEndpointsResponse

ListEndpointsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for EndpointService.ListEndpoints.

See more: google.cloud.aiplatform_v1.types.ListEndpointsResponse

google.cloud.aiplatform_v1.types.ListEntityTypesRequest

ListEntityTypesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.ListEntityTypes.

See more: google.cloud.aiplatform_v1.types.ListEntityTypesRequest

google.cloud.aiplatform_v1.types.ListEntityTypesResponse

ListEntityTypesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeaturestoreService.ListEntityTypes.

See more: google.cloud.aiplatform_v1.types.ListEntityTypesResponse

google.cloud.aiplatform_v1.types.ListExecutionsRequest

ListExecutionsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.ListExecutions.

See more: google.cloud.aiplatform_v1.types.ListExecutionsRequest

google.cloud.aiplatform_v1.types.ListExecutionsResponse

ListExecutionsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for MetadataService.ListExecutions.

See more: google.cloud.aiplatform_v1.types.ListExecutionsResponse

google.cloud.aiplatform_v1.types.ListFeatureGroupsRequest

ListFeatureGroupsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureRegistryService.ListFeatureGroups.

See more: google.cloud.aiplatform_v1.types.ListFeatureGroupsRequest

google.cloud.aiplatform_v1.types.ListFeatureGroupsResponse

ListFeatureGroupsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeatureRegistryService.ListFeatureGroups.

See more: google.cloud.aiplatform_v1.types.ListFeatureGroupsResponse

google.cloud.aiplatform_v1.types.ListFeatureOnlineStoresRequest

ListFeatureOnlineStoresRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for FeatureOnlineStoreAdminService.ListFeatureOnlineStores.

See more: google.cloud.aiplatform_v1.types.ListFeatureOnlineStoresRequest

google.cloud.aiplatform_v1.types.ListFeatureOnlineStoresResponse

ListFeatureOnlineStoresResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for FeatureOnlineStoreAdminService.ListFeatureOnlineStores.

See more: google.cloud.aiplatform_v1.types.ListFeatureOnlineStoresResponse

google.cloud.aiplatform_v1.types.ListFeatureViewSyncsRequest

ListFeatureViewSyncsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureOnlineStoreAdminService.ListFeatureViewSyncs.

See more: google.cloud.aiplatform_v1.types.ListFeatureViewSyncsRequest

google.cloud.aiplatform_v1.types.ListFeatureViewSyncsResponse

ListFeatureViewSyncsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for FeatureOnlineStoreAdminService.ListFeatureViewSyncs.

See more: google.cloud.aiplatform_v1.types.ListFeatureViewSyncsResponse

google.cloud.aiplatform_v1.types.ListFeatureViewsRequest

ListFeatureViewsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureOnlineStoreAdminService.ListFeatureViews.

See more: google.cloud.aiplatform_v1.types.ListFeatureViewsRequest

google.cloud.aiplatform_v1.types.ListFeatureViewsResponse

ListFeatureViewsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeatureOnlineStoreAdminService.ListFeatureViews.

See more: google.cloud.aiplatform_v1.types.ListFeatureViewsResponse

google.cloud.aiplatform_v1.types.ListFeaturesRequest

ListFeaturesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.ListFeatures.

See more: google.cloud.aiplatform_v1.types.ListFeaturesRequest

google.cloud.aiplatform_v1.types.ListFeaturesResponse

ListFeaturesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeaturestoreService.ListFeatures.

See more: google.cloud.aiplatform_v1.types.ListFeaturesResponse

google.cloud.aiplatform_v1.types.ListFeaturestoresRequest

ListFeaturestoresRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.ListFeaturestores.

See more: google.cloud.aiplatform_v1.types.ListFeaturestoresRequest

google.cloud.aiplatform_v1.types.ListFeaturestoresResponse

ListFeaturestoresResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeaturestoreService.ListFeaturestores.

See more: google.cloud.aiplatform_v1.types.ListFeaturestoresResponse

google.cloud.aiplatform_v1.types.ListHyperparameterTuningJobsRequest

ListHyperparameterTuningJobsRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.ListHyperparameterTuningJobs.

See more: google.cloud.aiplatform_v1.types.ListHyperparameterTuningJobsRequest

google.cloud.aiplatform_v1.types.ListHyperparameterTuningJobsResponse

ListHyperparameterTuningJobsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for JobService.ListHyperparameterTuningJobs .

See more: google.cloud.aiplatform_v1.types.ListHyperparameterTuningJobsResponse

google.cloud.aiplatform_v1.types.ListIndexEndpointsRequest

ListIndexEndpointsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexEndpointService.ListIndexEndpoints.

See more: google.cloud.aiplatform_v1.types.ListIndexEndpointsRequest

google.cloud.aiplatform_v1.types.ListIndexEndpointsResponse

ListIndexEndpointsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for IndexEndpointService.ListIndexEndpoints.

See more: google.cloud.aiplatform_v1.types.ListIndexEndpointsResponse

google.cloud.aiplatform_v1.types.ListIndexesRequest

ListIndexesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexService.ListIndexes.

See more: google.cloud.aiplatform_v1.types.ListIndexesRequest

google.cloud.aiplatform_v1.types.ListIndexesResponse

ListIndexesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for IndexService.ListIndexes.

See more: google.cloud.aiplatform_v1.types.ListIndexesResponse

google.cloud.aiplatform_v1.types.ListMetadataSchemasRequest

ListMetadataSchemasRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.ListMetadataSchemas.

See more: google.cloud.aiplatform_v1.types.ListMetadataSchemasRequest

google.cloud.aiplatform_v1.types.ListMetadataSchemasResponse

ListMetadataSchemasResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for MetadataService.ListMetadataSchemas.

See more: google.cloud.aiplatform_v1.types.ListMetadataSchemasResponse

google.cloud.aiplatform_v1.types.ListMetadataStoresRequest

ListMetadataStoresRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.ListMetadataStores.

See more: google.cloud.aiplatform_v1.types.ListMetadataStoresRequest

google.cloud.aiplatform_v1.types.ListMetadataStoresResponse

ListMetadataStoresResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for MetadataService.ListMetadataStores.

See more: google.cloud.aiplatform_v1.types.ListMetadataStoresResponse

google.cloud.aiplatform_v1.types.ListModelDeploymentMonitoringJobsRequest

ListModelDeploymentMonitoringJobsRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.ListModelDeploymentMonitoringJobs.

See more: google.cloud.aiplatform_v1.types.ListModelDeploymentMonitoringJobsRequest

google.cloud.aiplatform_v1.types.ListModelDeploymentMonitoringJobsResponse

ListModelDeploymentMonitoringJobsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for JobService.ListModelDeploymentMonitoringJobs.

See more: google.cloud.aiplatform_v1.types.ListModelDeploymentMonitoringJobsResponse

google.cloud.aiplatform_v1.types.ListModelEvaluationSlicesRequest

ListModelEvaluationSlicesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for ModelService.ListModelEvaluationSlices.

See more: google.cloud.aiplatform_v1.types.ListModelEvaluationSlicesRequest

google.cloud.aiplatform_v1.types.ListModelEvaluationSlicesResponse

ListModelEvaluationSlicesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for ModelService.ListModelEvaluationSlices.

See more: google.cloud.aiplatform_v1.types.ListModelEvaluationSlicesResponse

google.cloud.aiplatform_v1.types.ListModelEvaluationsRequest

ListModelEvaluationsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelService.ListModelEvaluations.

See more: google.cloud.aiplatform_v1.types.ListModelEvaluationsRequest

google.cloud.aiplatform_v1.types.ListModelEvaluationsResponse

ListModelEvaluationsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for ModelService.ListModelEvaluations.

See more: google.cloud.aiplatform_v1.types.ListModelEvaluationsResponse

google.cloud.aiplatform_v1.types.ListModelVersionsRequest

ListModelVersionsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelService.ListModelVersions.

See more: google.cloud.aiplatform_v1.types.ListModelVersionsRequest

google.cloud.aiplatform_v1.types.ListModelVersionsResponse

ListModelVersionsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for ModelService.ListModelVersions .

See more: google.cloud.aiplatform_v1.types.ListModelVersionsResponse

google.cloud.aiplatform_v1.types.ListModelsRequest

ListModelsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelService.ListModels.

See more: google.cloud.aiplatform_v1.types.ListModelsRequest

google.cloud.aiplatform_v1.types.ListModelsResponse

ListModelsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for ModelService.ListModels .

See more: google.cloud.aiplatform_v1.types.ListModelsResponse

google.cloud.aiplatform_v1.types.ListNasJobsRequest

ListNasJobsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.ListNasJobs.

See more: google.cloud.aiplatform_v1.types.ListNasJobsRequest

google.cloud.aiplatform_v1.types.ListNasJobsResponse

ListNasJobsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for JobService.ListNasJobs .

See more: google.cloud.aiplatform_v1.types.ListNasJobsResponse

google.cloud.aiplatform_v1.types.ListNasTrialDetailsRequest

ListNasTrialDetailsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.ListNasTrialDetails.

See more: google.cloud.aiplatform_v1.types.ListNasTrialDetailsRequest

google.cloud.aiplatform_v1.types.ListNasTrialDetailsResponse

ListNasTrialDetailsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for JobService.ListNasTrialDetails .

See more: google.cloud.aiplatform_v1.types.ListNasTrialDetailsResponse

google.cloud.aiplatform_v1.types.ListNotebookRuntimeTemplatesRequest

ListNotebookRuntimeTemplatesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for NotebookService.ListNotebookRuntimeTemplates.

See more: google.cloud.aiplatform_v1.types.ListNotebookRuntimeTemplatesRequest

google.cloud.aiplatform_v1.types.ListNotebookRuntimeTemplatesResponse

ListNotebookRuntimeTemplatesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for NotebookService.ListNotebookRuntimeTemplates.

See more: google.cloud.aiplatform_v1.types.ListNotebookRuntimeTemplatesResponse

google.cloud.aiplatform_v1.types.ListNotebookRuntimesRequest

ListNotebookRuntimesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for NotebookService.ListNotebookRuntimes.

See more: google.cloud.aiplatform_v1.types.ListNotebookRuntimesRequest

google.cloud.aiplatform_v1.types.ListNotebookRuntimesResponse

ListNotebookRuntimesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for NotebookService.ListNotebookRuntimes.

See more: google.cloud.aiplatform_v1.types.ListNotebookRuntimesResponse

google.cloud.aiplatform_v1.types.ListOptimalTrialsRequest

ListOptimalTrialsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.ListOptimalTrials.

See more: google.cloud.aiplatform_v1.types.ListOptimalTrialsRequest

google.cloud.aiplatform_v1.types.ListOptimalTrialsResponse

ListOptimalTrialsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for VizierService.ListOptimalTrials.

See more: google.cloud.aiplatform_v1.types.ListOptimalTrialsResponse

google.cloud.aiplatform_v1.types.ListPersistentResourcesRequest

ListPersistentResourcesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for [PersistentResourceService.ListPersistentResource][].

See more: google.cloud.aiplatform_v1.types.ListPersistentResourcesRequest

google.cloud.aiplatform_v1.types.ListPersistentResourcesResponse

ListPersistentResourcesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for PersistentResourceService.ListPersistentResources .

See more: google.cloud.aiplatform_v1.types.ListPersistentResourcesResponse

google.cloud.aiplatform_v1.types.ListPipelineJobsRequest

ListPipelineJobsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PipelineService.ListPipelineJobs.

See more: google.cloud.aiplatform_v1.types.ListPipelineJobsRequest

google.cloud.aiplatform_v1.types.ListPipelineJobsResponse

ListPipelineJobsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for PipelineService.ListPipelineJobs .

See more: google.cloud.aiplatform_v1.types.ListPipelineJobsResponse

google.cloud.aiplatform_v1.types.ListSavedQueriesRequest

ListSavedQueriesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.ListSavedQueries.

See more: google.cloud.aiplatform_v1.types.ListSavedQueriesRequest

google.cloud.aiplatform_v1.types.ListSavedQueriesResponse

ListSavedQueriesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for DatasetService.ListSavedQueries.

See more: google.cloud.aiplatform_v1.types.ListSavedQueriesResponse

google.cloud.aiplatform_v1.types.ListSchedulesRequest

ListSchedulesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ScheduleService.ListSchedules.

See more: google.cloud.aiplatform_v1.types.ListSchedulesRequest

google.cloud.aiplatform_v1.types.ListSchedulesResponse

ListSchedulesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for ScheduleService.ListSchedules .

See more: google.cloud.aiplatform_v1.types.ListSchedulesResponse

google.cloud.aiplatform_v1.types.ListSpecialistPoolsRequest

ListSpecialistPoolsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for SpecialistPoolService.ListSpecialistPools.

See more: google.cloud.aiplatform_v1.types.ListSpecialistPoolsRequest

google.cloud.aiplatform_v1.types.ListSpecialistPoolsResponse

ListSpecialistPoolsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for SpecialistPoolService.ListSpecialistPools.

See more: google.cloud.aiplatform_v1.types.ListSpecialistPoolsResponse

google.cloud.aiplatform_v1.types.ListStudiesRequest

ListStudiesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.ListStudies.

See more: google.cloud.aiplatform_v1.types.ListStudiesRequest

google.cloud.aiplatform_v1.types.ListStudiesResponse

ListStudiesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for VizierService.ListStudies.

See more: google.cloud.aiplatform_v1.types.ListStudiesResponse

google.cloud.aiplatform_v1.types.ListTensorboardExperimentsRequest

ListTensorboardExperimentsRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.ListTensorboardExperiments.

See more: google.cloud.aiplatform_v1.types.ListTensorboardExperimentsRequest

google.cloud.aiplatform_v1.types.ListTensorboardExperimentsResponse

ListTensorboardExperimentsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for TensorboardService.ListTensorboardExperiments.

See more: google.cloud.aiplatform_v1.types.ListTensorboardExperimentsResponse

google.cloud.aiplatform_v1.types.ListTensorboardRunsRequest

ListTensorboardRunsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for TensorboardService.ListTensorboardRuns.

See more: google.cloud.aiplatform_v1.types.ListTensorboardRunsRequest

google.cloud.aiplatform_v1.types.ListTensorboardRunsResponse

ListTensorboardRunsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for TensorboardService.ListTensorboardRuns.

See more: google.cloud.aiplatform_v1.types.ListTensorboardRunsResponse

google.cloud.aiplatform_v1.types.ListTensorboardTimeSeriesRequest

ListTensorboardTimeSeriesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.ListTensorboardTimeSeries.

See more: google.cloud.aiplatform_v1.types.ListTensorboardTimeSeriesRequest

google.cloud.aiplatform_v1.types.ListTensorboardTimeSeriesResponse

ListTensorboardTimeSeriesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for TensorboardService.ListTensorboardTimeSeries.

See more: google.cloud.aiplatform_v1.types.ListTensorboardTimeSeriesResponse

google.cloud.aiplatform_v1.types.ListTensorboardsRequest

ListTensorboardsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for TensorboardService.ListTensorboards.

See more: google.cloud.aiplatform_v1.types.ListTensorboardsRequest

google.cloud.aiplatform_v1.types.ListTensorboardsResponse

ListTensorboardsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for TensorboardService.ListTensorboards.

See more: google.cloud.aiplatform_v1.types.ListTensorboardsResponse

google.cloud.aiplatform_v1.types.ListTrainingPipelinesRequest

ListTrainingPipelinesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for PipelineService.ListTrainingPipelines.

See more: google.cloud.aiplatform_v1.types.ListTrainingPipelinesRequest

google.cloud.aiplatform_v1.types.ListTrainingPipelinesResponse

ListTrainingPipelinesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for PipelineService.ListTrainingPipelines .

See more: google.cloud.aiplatform_v1.types.ListTrainingPipelinesResponse

google.cloud.aiplatform_v1.types.ListTrialsRequest

ListTrialsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.ListTrials.

See more: google.cloud.aiplatform_v1.types.ListTrialsRequest

google.cloud.aiplatform_v1.types.ListTrialsResponse

ListTrialsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for VizierService.ListTrials.

See more: google.cloud.aiplatform_v1.types.ListTrialsResponse

google.cloud.aiplatform_v1.types.ListTuningJobsRequest

ListTuningJobsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for GenAiTuningService.ListTuningJobs.

See more: google.cloud.aiplatform_v1.types.ListTuningJobsRequest

google.cloud.aiplatform_v1.types.ListTuningJobsResponse

ListTuningJobsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for GenAiTuningService.ListTuningJobs .

See more: google.cloud.aiplatform_v1.types.ListTuningJobsResponse

google.cloud.aiplatform_v1.types.LookupStudyRequest

LookupStudyRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.LookupStudy.

See more: google.cloud.aiplatform_v1.types.LookupStudyRequest

google.cloud.aiplatform_v1.types.MachineSpec

MachineSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Specification of a single machine.

See more: google.cloud.aiplatform_v1.types.MachineSpec

google.cloud.aiplatform_v1.types.ManualBatchTuningParameters

ManualBatchTuningParameters(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Manual batch tuning parameters.

See more: google.cloud.aiplatform_v1.types.ManualBatchTuningParameters

google.cloud.aiplatform_v1.types.Measurement

Measurement(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A message representing a Measurement of a Trial.

See more: google.cloud.aiplatform_v1.types.Measurement

google.cloud.aiplatform_v1.types.Measurement.Metric

Metric(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A message representing a metric in the measurement.

See more: google.cloud.aiplatform_v1.types.Measurement.Metric

google.cloud.aiplatform_v1.types.MergeVersionAliasesRequest

MergeVersionAliasesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelService.MergeVersionAliases.

See more: google.cloud.aiplatform_v1.types.MergeVersionAliasesRequest

google.cloud.aiplatform_v1.types.MetadataSchema

MetadataSchema(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Instance of a general MetadataSchema.

See more: google.cloud.aiplatform_v1.types.MetadataSchema

google.cloud.aiplatform_v1.types.MetadataSchema.MetadataSchemaType

MetadataSchemaType(value)

Describes the type of the MetadataSchema.

See more: google.cloud.aiplatform_v1.types.MetadataSchema.MetadataSchemaType

google.cloud.aiplatform_v1.types.MetadataStore

MetadataStore(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Instance of a metadata store.

See more: google.cloud.aiplatform_v1.types.MetadataStore

google.cloud.aiplatform_v1.types.MetadataStore.MetadataStoreState

MetadataStoreState(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents state information for a MetadataStore.

See more: google.cloud.aiplatform_v1.types.MetadataStore.MetadataStoreState

google.cloud.aiplatform_v1.types.MigratableResource

MigratableResource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents one resource that exists in automl.googleapis.com, datalabeling.googleapis.com or ml.googleapis.com.

See more: google.cloud.aiplatform_v1.types.MigratableResource

google.cloud.aiplatform_v1.types.MigratableResource.AutomlDataset

AutomlDataset(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents one Dataset in automl.googleapis.com.

See more: google.cloud.aiplatform_v1.types.MigratableResource.AutomlDataset

google.cloud.aiplatform_v1.types.MigratableResource.AutomlModel

AutomlModel(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents one Model in automl.googleapis.com.

See more: google.cloud.aiplatform_v1.types.MigratableResource.AutomlModel

google.cloud.aiplatform_v1.types.MigratableResource.DataLabelingDataset

DataLabelingDataset(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents one Dataset in datalabeling.googleapis.com.

See more: google.cloud.aiplatform_v1.types.MigratableResource.DataLabelingDataset

google.cloud.aiplatform_v1.types.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset

DataLabelingAnnotatedDataset(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Represents one AnnotatedDataset in datalabeling.googleapis.com.

See more: google.cloud.aiplatform_v1.types.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset

google.cloud.aiplatform_v1.types.MigratableResource.MlEngineModelVersion

MlEngineModelVersion(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents one model Version in ml.googleapis.com.

See more: google.cloud.aiplatform_v1.types.MigratableResource.MlEngineModelVersion

google.cloud.aiplatform_v1.types.MigrateResourceRequest

MigrateResourceRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Config of migrating one resource from automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.

See more: google.cloud.aiplatform_v1.types.MigrateResourceRequest

google.cloud.aiplatform_v1.types.MigrateResourceRequest.MigrateAutomlDatasetConfig

MigrateAutomlDatasetConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Config for migrating Dataset in automl.googleapis.com to Vertex AI's Dataset.

See more: google.cloud.aiplatform_v1.types.MigrateResourceRequest.MigrateAutomlDatasetConfig

google.cloud.aiplatform_v1.types.MigrateResourceRequest.MigrateAutomlModelConfig

MigrateAutomlModelConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Config for migrating Model in automl.googleapis.com to Vertex AI's Model.

See more: google.cloud.aiplatform_v1.types.MigrateResourceRequest.MigrateAutomlModelConfig

google.cloud.aiplatform_v1.types.MigrateResourceRequest.MigrateDataLabelingDatasetConfig

MigrateDataLabelingDatasetConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Config for migrating Dataset in datalabeling.googleapis.com to Vertex AI's Dataset.

See more: google.cloud.aiplatform_v1.types.MigrateResourceRequest.MigrateDataLabelingDatasetConfig

google.cloud.aiplatform_v1.types.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig

MigrateDataLabelingAnnotatedDatasetConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Config for migrating AnnotatedDataset in datalabeling.googleapis.com to Vertex AI's SavedQuery.

See more: google.cloud.aiplatform_v1.types.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig

google.cloud.aiplatform_v1.types.MigrateResourceRequest.MigrateMlEngineModelVersionConfig

MigrateMlEngineModelVersionConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Config for migrating version in ml.googleapis.com to Vertex AI's Model.

See more: google.cloud.aiplatform_v1.types.MigrateResourceRequest.MigrateMlEngineModelVersionConfig

google.cloud.aiplatform_v1.types.MigrateResourceResponse

MigrateResourceResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Describes a successfully migrated resource.

See more: google.cloud.aiplatform_v1.types.MigrateResourceResponse

google.cloud.aiplatform_v1.types.Model

Model(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A trained machine learning Model.

See more: google.cloud.aiplatform_v1.types.Model

google.cloud.aiplatform_v1.types.Model.BaseModelSource

BaseModelSource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

User input field to specify the base model source.

See more: google.cloud.aiplatform_v1.types.Model.BaseModelSource

google.cloud.aiplatform_v1.types.Model.DataStats

DataStats(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Stats of data used for train or evaluate the Model.

See more: google.cloud.aiplatform_v1.types.Model.DataStats

google.cloud.aiplatform_v1.types.Model.DeploymentResourcesType

DeploymentResourcesType(value)

Identifies a type of Model's prediction resources.

See more: google.cloud.aiplatform_v1.types.Model.DeploymentResourcesType

google.cloud.aiplatform_v1.types.Model.ExportFormat

ExportFormat(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents export format supported by the Model.

See more: google.cloud.aiplatform_v1.types.Model.ExportFormat

google.cloud.aiplatform_v1.types.Model.ExportFormat.ExportableContent

ExportableContent(value)

The Model content that can be exported.

See more: google.cloud.aiplatform_v1.types.Model.ExportFormat.ExportableContent

google.cloud.aiplatform_v1.types.Model.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.Model.LabelsEntry

google.cloud.aiplatform_v1.types.Model.OriginalModelInfo

OriginalModelInfo(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Contains information about the original Model if this Model is a copy.

See more: google.cloud.aiplatform_v1.types.Model.OriginalModelInfo

google.cloud.aiplatform_v1.types.ModelContainerSpec

ModelContainerSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Specification of a container for serving predictions.

See more: google.cloud.aiplatform_v1.types.ModelContainerSpec

google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringBigQueryTable

ModelDeploymentMonitoringBigQueryTable(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

ModelDeploymentMonitoringBigQueryTable specifies the BigQuery table name as well as some information of the logs stored in this table.

See more: google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringBigQueryTable

google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringBigQueryTable.LogSource

LogSource(value)

Indicates where does the log come from.

See more: google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringBigQueryTable.LogSource

google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringBigQueryTable.LogType

LogType(value)

Indicates what type of traffic does the log belong to.

See more: google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringBigQueryTable.LogType

google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringJob

ModelDeploymentMonitoringJob(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Represents a job that runs periodically to monitor the deployed models in an endpoint.

See more: google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringJob

google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringJob.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringJob.LabelsEntry

google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata

LatestMonitoringPipelineMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

All metadata of most recent monitoring pipelines.

See more: google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata

google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringJob.MonitoringScheduleState

MonitoringScheduleState(value)

The state to Specify the monitoring pipeline.

See more: google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringJob.MonitoringScheduleState

google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringObjectiveConfig

ModelDeploymentMonitoringObjectiveConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

ModelDeploymentMonitoringObjectiveConfig contains the pair of deployed_model_id to ModelMonitoringObjectiveConfig.

See more: google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringObjectiveConfig

google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringObjectiveType

ModelDeploymentMonitoringObjectiveType(value)

The Model Monitoring Objective types.

See more: google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringObjectiveType

google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringScheduleConfig

ModelDeploymentMonitoringScheduleConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The config for scheduling monitoring job.

See more: google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringScheduleConfig

google.cloud.aiplatform_v1.types.ModelEvaluation

ModelEvaluation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A collection of metrics calculated by comparing Model's predictions on all of the test data against annotations from the test data.

See more: google.cloud.aiplatform_v1.types.ModelEvaluation

google.cloud.aiplatform_v1.types.ModelEvaluation.ModelEvaluationExplanationSpec

ModelEvaluationExplanationSpec(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

See more: google.cloud.aiplatform_v1.types.ModelEvaluation.ModelEvaluationExplanationSpec

google.cloud.aiplatform_v1.types.ModelEvaluationSlice

ModelEvaluationSlice(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A collection of metrics calculated by comparing Model's predictions on a slice of the test data against ground truth annotations.

See more: google.cloud.aiplatform_v1.types.ModelEvaluationSlice

google.cloud.aiplatform_v1.types.ModelEvaluationSlice.Slice

Slice(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Definition of a slice.

See more: google.cloud.aiplatform_v1.types.ModelEvaluationSlice.Slice

google.cloud.aiplatform_v1.types.ModelEvaluationSlice.Slice.SliceSpec

SliceSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Specification for how the data should be sliced.

See more: google.cloud.aiplatform_v1.types.ModelEvaluationSlice.Slice.SliceSpec

google.cloud.aiplatform_v1.types.ModelEvaluationSlice.Slice.SliceSpec.ConfigsEntry

ConfigsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.ModelEvaluationSlice.Slice.SliceSpec.ConfigsEntry

google.cloud.aiplatform_v1.types.ModelEvaluationSlice.Slice.SliceSpec.Range

Range(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A range of values for slice(s).

See more: google.cloud.aiplatform_v1.types.ModelEvaluationSlice.Slice.SliceSpec.Range

google.cloud.aiplatform_v1.types.ModelEvaluationSlice.Slice.SliceSpec.SliceConfig

SliceConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Specification message containing the config for this SliceSpec.

See more: google.cloud.aiplatform_v1.types.ModelEvaluationSlice.Slice.SliceSpec.SliceConfig

google.cloud.aiplatform_v1.types.ModelEvaluationSlice.Slice.SliceSpec.Value

Value(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Single value that supports strings and floats.

See more: google.cloud.aiplatform_v1.types.ModelEvaluationSlice.Slice.SliceSpec.Value

google.cloud.aiplatform_v1.types.ModelExplanation

ModelExplanation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Aggregated explanation metrics for a Model over a set of instances.

See more: google.cloud.aiplatform_v1.types.ModelExplanation

google.cloud.aiplatform_v1.types.ModelGardenSource

ModelGardenSource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Contains information about the source of the models generated from Model Garden.

See more: google.cloud.aiplatform_v1.types.ModelGardenSource

google.cloud.aiplatform_v1.types.ModelMonitoringAlertConfig

ModelMonitoringAlertConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The alert config for model monitoring.

See more: google.cloud.aiplatform_v1.types.ModelMonitoringAlertConfig

google.cloud.aiplatform_v1.types.ModelMonitoringAlertConfig.EmailAlertConfig

EmailAlertConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The config for email alert.

See more: google.cloud.aiplatform_v1.types.ModelMonitoringAlertConfig.EmailAlertConfig

google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig

ModelMonitoringObjectiveConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The objective configuration for model monitoring, including the information needed to detect anomalies for one particular model.

See more: google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig

google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig.ExplanationConfig

ExplanationConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The config for integrating with Vertex Explainable AI.

See more: google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig.ExplanationConfig

google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline

ExplanationBaseline(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Output from BatchPredictionJob for Model Monitoring baseline dataset, which can be used to generate baseline attribution scores.

See more: google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline

google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.PredictionFormat

PredictionFormat(value)

The storage format of the predictions generated BatchPrediction job.

See more: google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.PredictionFormat

google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig

PredictionDriftDetectionConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The config for Prediction data drift detection.

See more: google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig

google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.AttributionScoreDriftThresholdsEntry

AttributionScoreDriftThresholdsEntry(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.AttributionScoreDriftThresholdsEntry

google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.DriftThresholdsEntry

DriftThresholdsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.DriftThresholdsEntry

google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig.TrainingDataset

TrainingDataset(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Training Dataset information.

See more: google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig.TrainingDataset

google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig

TrainingPredictionSkewDetectionConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The config for Training & Prediction data skew detection.

See more: google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig

google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.AttributionScoreSkewThresholdsEntry

AttributionScoreSkewThresholdsEntry(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.AttributionScoreSkewThresholdsEntry

google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.SkewThresholdsEntry

SkewThresholdsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.SkewThresholdsEntry

google.cloud.aiplatform_v1.types.ModelMonitoringStatsAnomalies

ModelMonitoringStatsAnomalies(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Statistics and anomalies generated by Model Monitoring.

See more: google.cloud.aiplatform_v1.types.ModelMonitoringStatsAnomalies

google.cloud.aiplatform_v1.types.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies

FeatureHistoricStatsAnomalies(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Historical Stats (and Anomalies) for a specific Feature.

See more: google.cloud.aiplatform_v1.types.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies

google.cloud.aiplatform_v1.types.ModelSourceInfo

ModelSourceInfo(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Detail description of the source information of the model.

See more: google.cloud.aiplatform_v1.types.ModelSourceInfo

google.cloud.aiplatform_v1.types.ModelSourceInfo.ModelSourceType

ModelSourceType(value)

Source of the model.

See more: google.cloud.aiplatform_v1.types.ModelSourceInfo.ModelSourceType

google.cloud.aiplatform_v1.types.MutateDeployedIndexOperationMetadata

MutateDeployedIndexOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for IndexEndpointService.MutateDeployedIndex.

See more: google.cloud.aiplatform_v1.types.MutateDeployedIndexOperationMetadata

google.cloud.aiplatform_v1.types.MutateDeployedIndexRequest

MutateDeployedIndexRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexEndpointService.MutateDeployedIndex.

See more: google.cloud.aiplatform_v1.types.MutateDeployedIndexRequest

google.cloud.aiplatform_v1.types.MutateDeployedIndexResponse

MutateDeployedIndexResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for IndexEndpointService.MutateDeployedIndex.

See more: google.cloud.aiplatform_v1.types.MutateDeployedIndexResponse

google.cloud.aiplatform_v1.types.MutateDeployedModelOperationMetadata

MutateDeployedModelOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for EndpointService.MutateDeployedModel.

See more: google.cloud.aiplatform_v1.types.MutateDeployedModelOperationMetadata

google.cloud.aiplatform_v1.types.MutateDeployedModelRequest

MutateDeployedModelRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for EndpointService.MutateDeployedModel.

See more: google.cloud.aiplatform_v1.types.MutateDeployedModelRequest

google.cloud.aiplatform_v1.types.MutateDeployedModelResponse

MutateDeployedModelResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for EndpointService.MutateDeployedModel.

See more: google.cloud.aiplatform_v1.types.MutateDeployedModelResponse

google.cloud.aiplatform_v1.types.NasJob

NasJob(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a Neural Architecture Search (NAS) job.

See more: google.cloud.aiplatform_v1.types.NasJob

google.cloud.aiplatform_v1.types.NasJob.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.NasJob.LabelsEntry

google.cloud.aiplatform_v1.types.NasJobOutput

NasJobOutput(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a uCAIP NasJob output.

See more: google.cloud.aiplatform_v1.types.NasJobOutput

google.cloud.aiplatform_v1.types.NasJobOutput.MultiTrialJobOutput

MultiTrialJobOutput(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The output of a multi-trial Neural Architecture Search (NAS) jobs.

See more: google.cloud.aiplatform_v1.types.NasJobOutput.MultiTrialJobOutput

google.cloud.aiplatform_v1.types.NasJobSpec

NasJobSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents the spec of a NasJob.

See more: google.cloud.aiplatform_v1.types.NasJobSpec

google.cloud.aiplatform_v1.types.NasJobSpec.MultiTrialAlgorithmSpec

MultiTrialAlgorithmSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The spec of multi-trial Neural Architecture Search (NAS).

See more: google.cloud.aiplatform_v1.types.NasJobSpec.MultiTrialAlgorithmSpec

google.cloud.aiplatform_v1.types.NasJobSpec.MultiTrialAlgorithmSpec.MetricSpec

MetricSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a metric to optimize.

See more: google.cloud.aiplatform_v1.types.NasJobSpec.MultiTrialAlgorithmSpec.MetricSpec

google.cloud.aiplatform_v1.types.NasJobSpec.MultiTrialAlgorithmSpec.MetricSpec.GoalType

GoalType(value)

The available types of optimization goals.

See more: google.cloud.aiplatform_v1.types.NasJobSpec.MultiTrialAlgorithmSpec.MetricSpec.GoalType

google.cloud.aiplatform_v1.types.NasJobSpec.MultiTrialAlgorithmSpec.MultiTrialAlgorithm

MultiTrialAlgorithm(value)

The available types of multi-trial algorithms.

See more: google.cloud.aiplatform_v1.types.NasJobSpec.MultiTrialAlgorithmSpec.MultiTrialAlgorithm

google.cloud.aiplatform_v1.types.NasJobSpec.MultiTrialAlgorithmSpec.SearchTrialSpec

SearchTrialSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represent spec for search trials.

See more: google.cloud.aiplatform_v1.types.NasJobSpec.MultiTrialAlgorithmSpec.SearchTrialSpec

google.cloud.aiplatform_v1.types.NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec

TrainTrialSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represent spec for train trials.

See more: google.cloud.aiplatform_v1.types.NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec

google.cloud.aiplatform_v1.types.NasTrial

NasTrial(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a uCAIP NasJob trial.

See more: google.cloud.aiplatform_v1.types.NasTrial

google.cloud.aiplatform_v1.types.NasTrial.State

State(value)

Describes a NasTrial state.

See more: google.cloud.aiplatform_v1.types.NasTrial.State

google.cloud.aiplatform_v1.types.NasTrialDetail

NasTrialDetail(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a NasTrial details along with its parameters.

See more: google.cloud.aiplatform_v1.types.NasTrialDetail

google.cloud.aiplatform_v1.types.NearestNeighborQuery

NearestNeighborQuery(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A query to find a number of similar entities.

See more: google.cloud.aiplatform_v1.types.NearestNeighborQuery

google.cloud.aiplatform_v1.types.NearestNeighborQuery.Embedding

Embedding(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The embedding vector.

See more: google.cloud.aiplatform_v1.types.NearestNeighborQuery.Embedding

google.cloud.aiplatform_v1.types.NearestNeighborQuery.Parameters

Parameters(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Parameters that can be overrided in each query to tune query latency and recall.

See more: google.cloud.aiplatform_v1.types.NearestNeighborQuery.Parameters

google.cloud.aiplatform_v1.types.NearestNeighborQuery.StringFilter

StringFilter(mapping=None, *, ignore_unknown_fields=False, **kwargs)

String filter is used to search a subset of the entities by using boolean rules on string columns.

See more: google.cloud.aiplatform_v1.types.NearestNeighborQuery.StringFilter

google.cloud.aiplatform_v1.types.NearestNeighborSearchOperationMetadata

NearestNeighborSearchOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation metadata with regard to Matching Engine Index.

See more: google.cloud.aiplatform_v1.types.NearestNeighborSearchOperationMetadata

google.cloud.aiplatform_v1.types.NearestNeighborSearchOperationMetadata.ContentValidationStats

ContentValidationStats(mapping=None, *, ignore_unknown_fields=False, **kwargs)

See more: google.cloud.aiplatform_v1.types.NearestNeighborSearchOperationMetadata.ContentValidationStats

google.cloud.aiplatform_v1.types.NearestNeighborSearchOperationMetadata.RecordError

RecordError(mapping=None, *, ignore_unknown_fields=False, **kwargs)

See more: google.cloud.aiplatform_v1.types.NearestNeighborSearchOperationMetadata.RecordError

google.cloud.aiplatform_v1.types.NearestNeighborSearchOperationMetadata.RecordError.RecordErrorType

RecordErrorType(value)

Values: ERROR_TYPE_UNSPECIFIED (0): Default, shall not be used.

See more: google.cloud.aiplatform_v1.types.NearestNeighborSearchOperationMetadata.RecordError.RecordErrorType

google.cloud.aiplatform_v1.types.NearestNeighbors

NearestNeighbors(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Nearest neighbors for one query.

See more: google.cloud.aiplatform_v1.types.NearestNeighbors

google.cloud.aiplatform_v1.types.NearestNeighbors.Neighbor

Neighbor(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A neighbor of the query vector.

See more: google.cloud.aiplatform_v1.types.NearestNeighbors.Neighbor

google.cloud.aiplatform_v1.types.Neighbor

Neighbor(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Neighbors for example-based explanations.

See more: google.cloud.aiplatform_v1.types.Neighbor

google.cloud.aiplatform_v1.types.NetworkSpec

NetworkSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Network spec.

See more: google.cloud.aiplatform_v1.types.NetworkSpec

google.cloud.aiplatform_v1.types.NfsMount

NfsMount(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a mount configuration for Network File System (NFS) to mount.

See more: google.cloud.aiplatform_v1.types.NfsMount

google.cloud.aiplatform_v1.types.NotebookEucConfig

NotebookEucConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The euc configuration of NotebookRuntimeTemplate.

See more: google.cloud.aiplatform_v1.types.NotebookEucConfig

google.cloud.aiplatform_v1.types.NotebookIdleShutdownConfig

NotebookIdleShutdownConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The idle shutdown configuration of NotebookRuntimeTemplate, which contains the idle_timeout as required field.

See more: google.cloud.aiplatform_v1.types.NotebookIdleShutdownConfig

google.cloud.aiplatform_v1.types.NotebookRuntime

NotebookRuntime(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A runtime is a virtual machine allocated to a particular user for a particular Notebook file on temporary basis with lifetime limited to 24 hours.

See more: google.cloud.aiplatform_v1.types.NotebookRuntime

google.cloud.aiplatform_v1.types.NotebookRuntime.HealthState

HealthState(value)

The substate of the NotebookRuntime to display health information.

See more: google.cloud.aiplatform_v1.types.NotebookRuntime.HealthState

google.cloud.aiplatform_v1.types.NotebookRuntime.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.NotebookRuntime.LabelsEntry

google.cloud.aiplatform_v1.types.NotebookRuntime.RuntimeState

RuntimeState(value)

The substate of the NotebookRuntime to display state of runtime.

See more: google.cloud.aiplatform_v1.types.NotebookRuntime.RuntimeState

google.cloud.aiplatform_v1.types.NotebookRuntimeTemplate

NotebookRuntimeTemplate(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A template that specifies runtime configurations such as machine type, runtime version, network configurations, etc.

See more: google.cloud.aiplatform_v1.types.NotebookRuntimeTemplate

google.cloud.aiplatform_v1.types.NotebookRuntimeTemplate.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.NotebookRuntimeTemplate.LabelsEntry

google.cloud.aiplatform_v1.types.NotebookRuntimeTemplateRef

NotebookRuntimeTemplateRef(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Points to a NotebookRuntimeTemplateRef.

See more: google.cloud.aiplatform_v1.types.NotebookRuntimeTemplateRef

google.cloud.aiplatform_v1.types.NotebookRuntimeType

NotebookRuntimeType(value)

Represents a notebook runtime type.

See more: google.cloud.aiplatform_v1.types.NotebookRuntimeType

google.cloud.aiplatform_v1.types.Part

Part(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A datatype containing media that is part of a multi-part Content message.

See more: google.cloud.aiplatform_v1.types.Part

google.cloud.aiplatform_v1.types.PauseModelDeploymentMonitoringJobRequest

PauseModelDeploymentMonitoringJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.PauseModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1.types.PauseModelDeploymentMonitoringJobRequest

google.cloud.aiplatform_v1.types.PauseScheduleRequest

PauseScheduleRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ScheduleService.PauseSchedule.

See more: google.cloud.aiplatform_v1.types.PauseScheduleRequest

google.cloud.aiplatform_v1.types.PersistentDiskSpec

PersistentDiskSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents the spec of [persistent disk][https://cloud.google.com/compute/docs/disks/persistent-disks] options.

See more: google.cloud.aiplatform_v1.types.PersistentDiskSpec

google.cloud.aiplatform_v1.types.PersistentResource

PersistentResource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents long-lasting resources that are dedicated to users to runs custom workloads.

See more: google.cloud.aiplatform_v1.types.PersistentResource

google.cloud.aiplatform_v1.types.PersistentResource.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.PersistentResource.LabelsEntry

google.cloud.aiplatform_v1.types.PersistentResource.State

State(value)

Describes the PersistentResource state.

See more: google.cloud.aiplatform_v1.types.PersistentResource.State

google.cloud.aiplatform_v1.types.PipelineFailurePolicy

PipelineFailurePolicy(value)

Represents the failure policy of a pipeline.

See more: google.cloud.aiplatform_v1.types.PipelineFailurePolicy

google.cloud.aiplatform_v1.types.PipelineJob

PipelineJob(mapping=None, *, ignore_unknown_fields=False, **kwargs)

An instance of a machine learning PipelineJob.

See more: google.cloud.aiplatform_v1.types.PipelineJob

google.cloud.aiplatform_v1.types.PipelineJob.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.PipelineJob.LabelsEntry

google.cloud.aiplatform_v1.types.PipelineJob.RuntimeConfig

RuntimeConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The runtime config of a PipelineJob.

See more: google.cloud.aiplatform_v1.types.PipelineJob.RuntimeConfig

google.cloud.aiplatform_v1.types.PipelineJob.RuntimeConfig.InputArtifact

InputArtifact(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The type of an input artifact.

See more: google.cloud.aiplatform_v1.types.PipelineJob.RuntimeConfig.InputArtifact

google.cloud.aiplatform_v1.types.PipelineJob.RuntimeConfig.InputArtifactsEntry

InputArtifactsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.PipelineJob.RuntimeConfig.InputArtifactsEntry

google.cloud.aiplatform_v1.types.PipelineJob.RuntimeConfig.ParameterValuesEntry

ParameterValuesEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.PipelineJob.RuntimeConfig.ParameterValuesEntry

google.cloud.aiplatform_v1.types.PipelineJob.RuntimeConfig.ParametersEntry

ParametersEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.PipelineJob.RuntimeConfig.ParametersEntry

google.cloud.aiplatform_v1.types.PipelineJobDetail

PipelineJobDetail(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The runtime detail of PipelineJob.

See more: google.cloud.aiplatform_v1.types.PipelineJobDetail

google.cloud.aiplatform_v1.types.PipelineState

PipelineState(value)

Describes the state of a pipeline.

See more: google.cloud.aiplatform_v1.types.PipelineState

google.cloud.aiplatform_v1.types.PipelineTaskDetail

PipelineTaskDetail(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The runtime detail of a task execution.

See more: google.cloud.aiplatform_v1.types.PipelineTaskDetail

google.cloud.aiplatform_v1.types.PipelineTaskDetail.ArtifactList

ArtifactList(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A list of artifact metadata.

See more: google.cloud.aiplatform_v1.types.PipelineTaskDetail.ArtifactList

google.cloud.aiplatform_v1.types.PipelineTaskDetail.InputsEntry

InputsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.PipelineTaskDetail.InputsEntry

google.cloud.aiplatform_v1.types.PipelineTaskDetail.OutputsEntry

OutputsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.PipelineTaskDetail.OutputsEntry

google.cloud.aiplatform_v1.types.PipelineTaskDetail.PipelineTaskStatus

PipelineTaskStatus(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A single record of the task status.

See more: google.cloud.aiplatform_v1.types.PipelineTaskDetail.PipelineTaskStatus

google.cloud.aiplatform_v1.types.PipelineTaskDetail.State

State(value)

Specifies state of TaskExecution.

See more: google.cloud.aiplatform_v1.types.PipelineTaskDetail.State

google.cloud.aiplatform_v1.types.PipelineTaskExecutorDetail

PipelineTaskExecutorDetail(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The runtime detail of a pipeline executor.

See more: google.cloud.aiplatform_v1.types.PipelineTaskExecutorDetail

google.cloud.aiplatform_v1.types.PipelineTaskExecutorDetail.ContainerDetail

ContainerDetail(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The detail of a container execution.

See more: google.cloud.aiplatform_v1.types.PipelineTaskExecutorDetail.ContainerDetail

google.cloud.aiplatform_v1.types.PipelineTaskExecutorDetail.CustomJobDetail

CustomJobDetail(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The detailed info for a custom job executor.

See more: google.cloud.aiplatform_v1.types.PipelineTaskExecutorDetail.CustomJobDetail

google.cloud.aiplatform_v1.types.PipelineTemplateMetadata

PipelineTemplateMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Pipeline template metadata if PipelineJob.template_uri is from supported template registry.

See more: google.cloud.aiplatform_v1.types.PipelineTemplateMetadata

google.cloud.aiplatform_v1.types.Port

Port(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a network port in a container.

See more: google.cloud.aiplatform_v1.types.Port

google.cloud.aiplatform_v1.types.PredefinedSplit

PredefinedSplit(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Assigns input data to training, validation, and test sets based on the value of a provided key.

See more: google.cloud.aiplatform_v1.types.PredefinedSplit

google.cloud.aiplatform_v1.types.PredictRequest

PredictRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PredictionService.Predict.

See more: google.cloud.aiplatform_v1.types.PredictRequest

google.cloud.aiplatform_v1.types.PredictRequestResponseLoggingConfig

PredictRequestResponseLoggingConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Configuration for logging request-response to a BigQuery table.

See more: google.cloud.aiplatform_v1.types.PredictRequestResponseLoggingConfig

google.cloud.aiplatform_v1.types.PredictResponse

PredictResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for PredictionService.Predict.

See more: google.cloud.aiplatform_v1.types.PredictResponse

google.cloud.aiplatform_v1.types.PredictSchemata

PredictSchemata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Contains the schemata used in Model's predictions and explanations via PredictionService.Predict, PredictionService.Explain and BatchPredictionJob.

See more: google.cloud.aiplatform_v1.types.PredictSchemata

google.cloud.aiplatform_v1.types.Presets

Presets(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Preset configuration for example-based explanations.

See more: google.cloud.aiplatform_v1.types.Presets

google.cloud.aiplatform_v1.types.Presets.Modality

Modality(value)

Preset option controlling parameters for different modalities.

See more: google.cloud.aiplatform_v1.types.Presets.Modality

google.cloud.aiplatform_v1.types.Presets.Query

Query(value)

Preset option controlling parameters for query speed-precision trade-off.

See more: google.cloud.aiplatform_v1.types.Presets.Query

google.cloud.aiplatform_v1.types.PrivateEndpoints

PrivateEndpoints(mapping=None, *, ignore_unknown_fields=False, **kwargs)

PrivateEndpoints proto is used to provide paths for users to send requests privately.

See more: google.cloud.aiplatform_v1.types.PrivateEndpoints

google.cloud.aiplatform_v1.types.PrivateServiceConnectConfig

PrivateServiceConnectConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents configuration for private service connect.

See more: google.cloud.aiplatform_v1.types.PrivateServiceConnectConfig

google.cloud.aiplatform_v1.types.Probe

Probe(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic.

See more: google.cloud.aiplatform_v1.types.Probe

google.cloud.aiplatform_v1.types.Probe.ExecAction

ExecAction(mapping=None, *, ignore_unknown_fields=False, **kwargs)

ExecAction specifies a command to execute.

See more: google.cloud.aiplatform_v1.types.Probe.ExecAction

google.cloud.aiplatform_v1.types.PscAutomatedEndpoints

PscAutomatedEndpoints(mapping=None, *, ignore_unknown_fields=False, **kwargs)

PscAutomatedEndpoints defines the output of the forwarding rule automatically created by each PscAutomationConfig.

See more: google.cloud.aiplatform_v1.types.PscAutomatedEndpoints

google.cloud.aiplatform_v1.types.PublisherModel

PublisherModel(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A Model Garden Publisher Model.

See more: google.cloud.aiplatform_v1.types.PublisherModel

google.cloud.aiplatform_v1.types.PublisherModel.CallToAction

CallToAction(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Actions could take on this Publisher Model.

See more: google.cloud.aiplatform_v1.types.PublisherModel.CallToAction

google.cloud.aiplatform_v1.types.PublisherModel.CallToAction.Deploy

Deploy(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Model metadata that is needed for UploadModel or DeployModel/CreateEndpoint requests.

See more: google.cloud.aiplatform_v1.types.PublisherModel.CallToAction.Deploy

google.cloud.aiplatform_v1.types.PublisherModel.CallToAction.DeployGke

DeployGke(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configurations for PublisherModel GKE deployment .

See more: google.cloud.aiplatform_v1.types.PublisherModel.CallToAction.DeployGke

google.cloud.aiplatform_v1.types.PublisherModel.CallToAction.OpenFineTuningPipelines

OpenFineTuningPipelines(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Open fine tuning pipelines.

See more: google.cloud.aiplatform_v1.types.PublisherModel.CallToAction.OpenFineTuningPipelines

google.cloud.aiplatform_v1.types.PublisherModel.CallToAction.OpenNotebooks

OpenNotebooks(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Open notebooks.

See more: google.cloud.aiplatform_v1.types.PublisherModel.CallToAction.OpenNotebooks

google.cloud.aiplatform_v1.types.PublisherModel.CallToAction.RegionalResourceReferences

RegionalResourceReferences(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The regional resource name or the URI.

See more: google.cloud.aiplatform_v1.types.PublisherModel.CallToAction.RegionalResourceReferences

google.cloud.aiplatform_v1.types.PublisherModel.CallToAction.RegionalResourceReferences.ReferencesEntry

ReferencesEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.PublisherModel.CallToAction.RegionalResourceReferences.ReferencesEntry

google.cloud.aiplatform_v1.types.PublisherModel.CallToAction.ViewRestApi

ViewRestApi(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Rest API docs.

See more: google.cloud.aiplatform_v1.types.PublisherModel.CallToAction.ViewRestApi

google.cloud.aiplatform_v1.types.PublisherModel.Documentation

Documentation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A named piece of documentation.

See more: google.cloud.aiplatform_v1.types.PublisherModel.Documentation

google.cloud.aiplatform_v1.types.PublisherModel.LaunchStage

LaunchStage(value)

An enum representing the launch stage of a PublisherModel.

See more: google.cloud.aiplatform_v1.types.PublisherModel.LaunchStage

google.cloud.aiplatform_v1.types.PublisherModel.OpenSourceCategory

OpenSourceCategory(value)

An enum representing the open source category of a PublisherModel.

See more: google.cloud.aiplatform_v1.types.PublisherModel.OpenSourceCategory

google.cloud.aiplatform_v1.types.PublisherModel.ResourceReference

ResourceReference(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Reference to a resource.

See more: google.cloud.aiplatform_v1.types.PublisherModel.ResourceReference

google.cloud.aiplatform_v1.types.PublisherModel.VersionState

VersionState(value)

An enum representing the state of the PublicModelVersion.

See more: google.cloud.aiplatform_v1.types.PublisherModel.VersionState

google.cloud.aiplatform_v1.types.PublisherModelView

PublisherModelView(value)

View enumeration of PublisherModel.

See more: google.cloud.aiplatform_v1.types.PublisherModelView

google.cloud.aiplatform_v1.types.PurgeArtifactsMetadata

PurgeArtifactsMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Details of operations that perform MetadataService.PurgeArtifacts.

See more: google.cloud.aiplatform_v1.types.PurgeArtifactsMetadata

google.cloud.aiplatform_v1.types.PurgeArtifactsRequest

PurgeArtifactsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.PurgeArtifacts.

See more: google.cloud.aiplatform_v1.types.PurgeArtifactsRequest

google.cloud.aiplatform_v1.types.PurgeArtifactsResponse

PurgeArtifactsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for MetadataService.PurgeArtifacts.

See more: google.cloud.aiplatform_v1.types.PurgeArtifactsResponse

google.cloud.aiplatform_v1.types.PurgeContextsMetadata

PurgeContextsMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Details of operations that perform MetadataService.PurgeContexts.

See more: google.cloud.aiplatform_v1.types.PurgeContextsMetadata

google.cloud.aiplatform_v1.types.PurgeContextsRequest

PurgeContextsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.PurgeContexts.

See more: google.cloud.aiplatform_v1.types.PurgeContextsRequest

google.cloud.aiplatform_v1.types.PurgeContextsResponse

PurgeContextsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for MetadataService.PurgeContexts.

See more: google.cloud.aiplatform_v1.types.PurgeContextsResponse

google.cloud.aiplatform_v1.types.PurgeExecutionsMetadata

PurgeExecutionsMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Details of operations that perform MetadataService.PurgeExecutions.

See more: google.cloud.aiplatform_v1.types.PurgeExecutionsMetadata

google.cloud.aiplatform_v1.types.PurgeExecutionsRequest

PurgeExecutionsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.PurgeExecutions.

See more: google.cloud.aiplatform_v1.types.PurgeExecutionsRequest

google.cloud.aiplatform_v1.types.PurgeExecutionsResponse

PurgeExecutionsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for MetadataService.PurgeExecutions.

See more: google.cloud.aiplatform_v1.types.PurgeExecutionsResponse

google.cloud.aiplatform_v1.types.PythonPackageSpec

PythonPackageSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The spec of a Python packaged code.

See more: google.cloud.aiplatform_v1.types.PythonPackageSpec

google.cloud.aiplatform_v1.types.QueryArtifactLineageSubgraphRequest

QueryArtifactLineageSubgraphRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for MetadataService.QueryArtifactLineageSubgraph.

See more: google.cloud.aiplatform_v1.types.QueryArtifactLineageSubgraphRequest

google.cloud.aiplatform_v1.types.QueryContextLineageSubgraphRequest

QueryContextLineageSubgraphRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for MetadataService.QueryContextLineageSubgraph.

See more: google.cloud.aiplatform_v1.types.QueryContextLineageSubgraphRequest

google.cloud.aiplatform_v1.types.QueryDeployedModelsRequest

QueryDeployedModelsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for QueryDeployedModels method.

See more: google.cloud.aiplatform_v1.types.QueryDeployedModelsRequest

google.cloud.aiplatform_v1.types.QueryDeployedModelsResponse

QueryDeployedModelsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for QueryDeployedModels method.

See more: google.cloud.aiplatform_v1.types.QueryDeployedModelsResponse

google.cloud.aiplatform_v1.types.QueryExecutionInputsAndOutputsRequest

QueryExecutionInputsAndOutputsRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for MetadataService.QueryExecutionInputsAndOutputs.

See more: google.cloud.aiplatform_v1.types.QueryExecutionInputsAndOutputsRequest

google.cloud.aiplatform_v1.types.RawPredictRequest

RawPredictRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PredictionService.RawPredict.

See more: google.cloud.aiplatform_v1.types.RawPredictRequest

google.cloud.aiplatform_v1.types.RaySpec

RaySpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration information for the Ray cluster.

See more: google.cloud.aiplatform_v1.types.RaySpec

google.cloud.aiplatform_v1.types.ReadFeatureValuesRequest

ReadFeatureValuesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreOnlineServingService.ReadFeatureValues.

See more: google.cloud.aiplatform_v1.types.ReadFeatureValuesRequest

google.cloud.aiplatform_v1.types.ReadFeatureValuesResponse

ReadFeatureValuesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeaturestoreOnlineServingService.ReadFeatureValues.

See more: google.cloud.aiplatform_v1.types.ReadFeatureValuesResponse

google.cloud.aiplatform_v1.types.ReadFeatureValuesResponse.EntityView

EntityView(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Entity view with Feature values.

See more: google.cloud.aiplatform_v1.types.ReadFeatureValuesResponse.EntityView

google.cloud.aiplatform_v1.types.ReadFeatureValuesResponse.EntityView.Data

Data(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Container to hold value(s), successive in time, for one Feature from the request.

See more: google.cloud.aiplatform_v1.types.ReadFeatureValuesResponse.EntityView.Data

google.cloud.aiplatform_v1.types.ReadFeatureValuesResponse.FeatureDescriptor

FeatureDescriptor(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Metadata for requested Features.

See more: google.cloud.aiplatform_v1.types.ReadFeatureValuesResponse.FeatureDescriptor

google.cloud.aiplatform_v1.types.ReadFeatureValuesResponse.Header

Header(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response header with metadata for the requested ReadFeatureValuesRequest.entity_type and Features.

See more: google.cloud.aiplatform_v1.types.ReadFeatureValuesResponse.Header

google.cloud.aiplatform_v1.types.ReadIndexDatapointsRequest

ReadIndexDatapointsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The request message for MatchService.ReadIndexDatapoints.

See more: google.cloud.aiplatform_v1.types.ReadIndexDatapointsRequest

google.cloud.aiplatform_v1.types.ReadIndexDatapointsResponse

ReadIndexDatapointsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The response message for MatchService.ReadIndexDatapoints.

See more: google.cloud.aiplatform_v1.types.ReadIndexDatapointsResponse

google.cloud.aiplatform_v1.types.ReadTensorboardBlobDataRequest

ReadTensorboardBlobDataRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.ReadTensorboardBlobData.

See more: google.cloud.aiplatform_v1.types.ReadTensorboardBlobDataRequest

google.cloud.aiplatform_v1.types.ReadTensorboardBlobDataResponse

ReadTensorboardBlobDataResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for TensorboardService.ReadTensorboardBlobData.

See more: google.cloud.aiplatform_v1.types.ReadTensorboardBlobDataResponse

google.cloud.aiplatform_v1.types.ReadTensorboardSizeRequest

ReadTensorboardSizeRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for TensorboardService.ReadTensorboardSize.

See more: google.cloud.aiplatform_v1.types.ReadTensorboardSizeRequest

google.cloud.aiplatform_v1.types.ReadTensorboardSizeResponse

ReadTensorboardSizeResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for TensorboardService.ReadTensorboardSize.

See more: google.cloud.aiplatform_v1.types.ReadTensorboardSizeResponse

google.cloud.aiplatform_v1.types.ReadTensorboardTimeSeriesDataRequest

ReadTensorboardTimeSeriesDataRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.ReadTensorboardTimeSeriesData.

See more: google.cloud.aiplatform_v1.types.ReadTensorboardTimeSeriesDataRequest

google.cloud.aiplatform_v1.types.ReadTensorboardTimeSeriesDataResponse

ReadTensorboardTimeSeriesDataResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for TensorboardService.ReadTensorboardTimeSeriesData.

See more: google.cloud.aiplatform_v1.types.ReadTensorboardTimeSeriesDataResponse

google.cloud.aiplatform_v1.types.ReadTensorboardUsageRequest

ReadTensorboardUsageRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for TensorboardService.ReadTensorboardUsage.

See more: google.cloud.aiplatform_v1.types.ReadTensorboardUsageRequest

google.cloud.aiplatform_v1.types.ReadTensorboardUsageResponse

ReadTensorboardUsageResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for TensorboardService.ReadTensorboardUsage.

See more: google.cloud.aiplatform_v1.types.ReadTensorboardUsageResponse

google.cloud.aiplatform_v1.types.ReadTensorboardUsageResponse.MonthlyUsageDataEntry

MonthlyUsageDataEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.ReadTensorboardUsageResponse.MonthlyUsageDataEntry

google.cloud.aiplatform_v1.types.ReadTensorboardUsageResponse.PerMonthUsageData

PerMonthUsageData(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Per month usage data .

See more: google.cloud.aiplatform_v1.types.ReadTensorboardUsageResponse.PerMonthUsageData

google.cloud.aiplatform_v1.types.ReadTensorboardUsageResponse.PerUserUsageData

PerUserUsageData(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Per user usage data.

See more: google.cloud.aiplatform_v1.types.ReadTensorboardUsageResponse.PerUserUsageData

google.cloud.aiplatform_v1.types.RebootPersistentResourceOperationMetadata

RebootPersistentResourceOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform reboot PersistentResource.

See more: google.cloud.aiplatform_v1.types.RebootPersistentResourceOperationMetadata

google.cloud.aiplatform_v1.types.RebootPersistentResourceRequest

RebootPersistentResourceRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for PersistentResourceService.RebootPersistentResource.

See more: google.cloud.aiplatform_v1.types.RebootPersistentResourceRequest

google.cloud.aiplatform_v1.types.RemoveContextChildrenRequest

RemoveContextChildrenRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for [MetadataService.DeleteContextChildrenRequest][].

See more: google.cloud.aiplatform_v1.types.RemoveContextChildrenRequest

google.cloud.aiplatform_v1.types.RemoveContextChildrenResponse

RemoveContextChildrenResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for MetadataService.RemoveContextChildren.

See more: google.cloud.aiplatform_v1.types.RemoveContextChildrenResponse

google.cloud.aiplatform_v1.types.RemoveDatapointsRequest

RemoveDatapointsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexService.RemoveDatapoints .

See more: google.cloud.aiplatform_v1.types.RemoveDatapointsRequest

google.cloud.aiplatform_v1.types.RemoveDatapointsResponse

RemoveDatapointsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for IndexService.RemoveDatapoints .

See more: google.cloud.aiplatform_v1.types.RemoveDatapointsResponse

google.cloud.aiplatform_v1.types.ResourcePool

ResourcePool(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents the spec of a group of resources of the same type, for example machine type, disk, and accelerators, in a PersistentResource.

See more: google.cloud.aiplatform_v1.types.ResourcePool

google.cloud.aiplatform_v1.types.ResourcePool.AutoscalingSpec

AutoscalingSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The min/max number of replicas allowed if enabling autoscaling.

See more: google.cloud.aiplatform_v1.types.ResourcePool.AutoscalingSpec

google.cloud.aiplatform_v1.types.ResourceRuntime

ResourceRuntime(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Persistent Cluster runtime information as output.

See more: google.cloud.aiplatform_v1.types.ResourceRuntime

google.cloud.aiplatform_v1.types.ResourceRuntimeSpec

ResourceRuntimeSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration for the runtime on a PersistentResource instance, including but not limited to:.

See more: google.cloud.aiplatform_v1.types.ResourceRuntimeSpec

google.cloud.aiplatform_v1.types.ResourcesConsumed

ResourcesConsumed(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Statistics information about resource consumption.

See more: google.cloud.aiplatform_v1.types.ResourcesConsumed

google.cloud.aiplatform_v1.types.RestoreDatasetVersionOperationMetadata

RestoreDatasetVersionOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for DatasetService.RestoreDatasetVersion.

See more: google.cloud.aiplatform_v1.types.RestoreDatasetVersionOperationMetadata

google.cloud.aiplatform_v1.types.RestoreDatasetVersionRequest

RestoreDatasetVersionRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for DatasetService.RestoreDatasetVersion.

See more: google.cloud.aiplatform_v1.types.RestoreDatasetVersionRequest

google.cloud.aiplatform_v1.types.ResumeModelDeploymentMonitoringJobRequest

ResumeModelDeploymentMonitoringJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.ResumeModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1.types.ResumeModelDeploymentMonitoringJobRequest

google.cloud.aiplatform_v1.types.ResumeScheduleRequest

ResumeScheduleRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ScheduleService.ResumeSchedule.

See more: google.cloud.aiplatform_v1.types.ResumeScheduleRequest

google.cloud.aiplatform_v1.types.Retrieval

Retrieval(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Defines a retrieval tool that model can call to access external knowledge.

See more: google.cloud.aiplatform_v1.types.Retrieval

google.cloud.aiplatform_v1.types.SafetyRating

SafetyRating(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Safety rating corresponding to the generated content.

See more: google.cloud.aiplatform_v1.types.SafetyRating

google.cloud.aiplatform_v1.types.SafetyRating.HarmProbability

HarmProbability(value)

Harm probability levels in the content.

See more: google.cloud.aiplatform_v1.types.SafetyRating.HarmProbability

google.cloud.aiplatform_v1.types.SafetyRating.HarmSeverity

HarmSeverity(value)

Harm severity levels.

See more: google.cloud.aiplatform_v1.types.SafetyRating.HarmSeverity

google.cloud.aiplatform_v1.types.SafetySetting

SafetySetting(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Safety settings.

See more: google.cloud.aiplatform_v1.types.SafetySetting

google.cloud.aiplatform_v1.types.SafetySetting.HarmBlockMethod

HarmBlockMethod(value)

Probability vs severity.

See more: google.cloud.aiplatform_v1.types.SafetySetting.HarmBlockMethod

google.cloud.aiplatform_v1.types.SafetySetting.HarmBlockThreshold

HarmBlockThreshold(value)

Probability based thresholds levels for blocking.

See more: google.cloud.aiplatform_v1.types.SafetySetting.HarmBlockThreshold

google.cloud.aiplatform_v1.types.SampleConfig

SampleConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Active learning data sampling config.

See more: google.cloud.aiplatform_v1.types.SampleConfig

google.cloud.aiplatform_v1.types.SampleConfig.SampleStrategy

SampleStrategy(value)

Sample strategy decides which subset of DataItems should be selected for human labeling in every batch.

See more: google.cloud.aiplatform_v1.types.SampleConfig.SampleStrategy

google.cloud.aiplatform_v1.types.SampledShapleyAttribution

SampledShapleyAttribution(mapping=None, *, ignore_unknown_fields=False, **kwargs)

An attribution method that approximates Shapley values for features that contribute to the label being predicted.

See more: google.cloud.aiplatform_v1.types.SampledShapleyAttribution

google.cloud.aiplatform_v1.types.SamplingStrategy

SamplingStrategy(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Sampling Strategy for logging, can be for both training and prediction dataset.

See more: google.cloud.aiplatform_v1.types.SamplingStrategy

google.cloud.aiplatform_v1.types.SamplingStrategy.RandomSampleConfig

RandomSampleConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Requests are randomly selected.

See more: google.cloud.aiplatform_v1.types.SamplingStrategy.RandomSampleConfig

google.cloud.aiplatform_v1.types.SavedQuery

SavedQuery(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A SavedQuery is a view of the dataset.

See more: google.cloud.aiplatform_v1.types.SavedQuery

google.cloud.aiplatform_v1.types.Scalar

Scalar(mapping=None, *, ignore_unknown_fields=False, **kwargs)

One point viewable on a scalar metric plot.

See more: google.cloud.aiplatform_v1.types.Scalar

google.cloud.aiplatform_v1.types.Schedule

Schedule(mapping=None, *, ignore_unknown_fields=False, **kwargs)

An instance of a Schedule periodically schedules runs to make API calls based on user specified time specification and API request type.

See more: google.cloud.aiplatform_v1.types.Schedule

google.cloud.aiplatform_v1.types.Schedule.RunResponse

RunResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Status of a scheduled run.

See more: google.cloud.aiplatform_v1.types.Schedule.RunResponse

google.cloud.aiplatform_v1.types.Schedule.State

State(value)

Possible state of the schedule.

See more: google.cloud.aiplatform_v1.types.Schedule.State

google.cloud.aiplatform_v1.types.Scheduling

Scheduling(mapping=None, *, ignore_unknown_fields=False, **kwargs)

All parameters related to queuing and scheduling of custom jobs.

See more: google.cloud.aiplatform_v1.types.Scheduling

google.cloud.aiplatform_v1.types.Schema

Schema(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Schema is used to define the format of input/output data.

See more: google.cloud.aiplatform_v1.types.Schema

google.cloud.aiplatform_v1.types.Schema.PropertiesEntry

PropertiesEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.Schema.PropertiesEntry

google.cloud.aiplatform_v1.types.SearchDataItemsRequest

SearchDataItemsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.SearchDataItems.

See more: google.cloud.aiplatform_v1.types.SearchDataItemsRequest

google.cloud.aiplatform_v1.types.SearchDataItemsRequest.OrderByAnnotation

OrderByAnnotation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Expression that allows ranking results based on annotation's property.

See more: google.cloud.aiplatform_v1.types.SearchDataItemsRequest.OrderByAnnotation

google.cloud.aiplatform_v1.types.SearchDataItemsResponse

SearchDataItemsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for DatasetService.SearchDataItems.

See more: google.cloud.aiplatform_v1.types.SearchDataItemsResponse

google.cloud.aiplatform_v1.types.SearchFeaturesRequest

SearchFeaturesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.SearchFeatures.

See more: google.cloud.aiplatform_v1.types.SearchFeaturesRequest

google.cloud.aiplatform_v1.types.SearchFeaturesResponse

SearchFeaturesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeaturestoreService.SearchFeatures.

See more: google.cloud.aiplatform_v1.types.SearchFeaturesResponse

google.cloud.aiplatform_v1.types.SearchMigratableResourcesRequest

SearchMigratableResourcesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for MigrationService.SearchMigratableResources.

See more: google.cloud.aiplatform_v1.types.SearchMigratableResourcesRequest

google.cloud.aiplatform_v1.types.SearchMigratableResourcesResponse

SearchMigratableResourcesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for MigrationService.SearchMigratableResources.

See more: google.cloud.aiplatform_v1.types.SearchMigratableResourcesResponse

google.cloud.aiplatform_v1.types.SearchModelDeploymentMonitoringStatsAnomaliesRequest

SearchModelDeploymentMonitoringStatsAnomaliesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.SearchModelDeploymentMonitoringStatsAnomalies.

See more: google.cloud.aiplatform_v1.types.SearchModelDeploymentMonitoringStatsAnomaliesRequest

google.cloud.aiplatform_v1.types.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective

StatsAnomaliesObjective(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Stats requested for specific objective.

See more: google.cloud.aiplatform_v1.types.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective

google.cloud.aiplatform_v1.types.SearchModelDeploymentMonitoringStatsAnomaliesResponse

SearchModelDeploymentMonitoringStatsAnomaliesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for JobService.SearchModelDeploymentMonitoringStatsAnomalies.

See more: google.cloud.aiplatform_v1.types.SearchModelDeploymentMonitoringStatsAnomaliesResponse

google.cloud.aiplatform_v1.types.SearchNearestEntitiesRequest

SearchNearestEntitiesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The request message for FeatureOnlineStoreService.SearchNearestEntities.

See more: google.cloud.aiplatform_v1.types.SearchNearestEntitiesRequest

google.cloud.aiplatform_v1.types.SearchNearestEntitiesResponse

SearchNearestEntitiesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for FeatureOnlineStoreService.SearchNearestEntities .

See more: google.cloud.aiplatform_v1.types.SearchNearestEntitiesResponse

google.cloud.aiplatform_v1.types.Segment

Segment(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Segment of the content.

See more: google.cloud.aiplatform_v1.types.Segment

google.cloud.aiplatform_v1.types.ServiceAccountSpec

ServiceAccountSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration for the use of custom service account to run the workloads.

See more: google.cloud.aiplatform_v1.types.ServiceAccountSpec

google.cloud.aiplatform_v1.types.ShieldedVmConfig

ShieldedVmConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A set of Shielded Instance options.

See more: google.cloud.aiplatform_v1.types.ShieldedVmConfig

google.cloud.aiplatform_v1.types.SmoothGradConfig

SmoothGradConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Config for SmoothGrad approximation of gradients.

See more: google.cloud.aiplatform_v1.types.SmoothGradConfig

google.cloud.aiplatform_v1.types.SpecialistPool

SpecialistPool(mapping=None, *, ignore_unknown_fields=False, **kwargs)

SpecialistPool represents customers' own workforce to work on their data labeling jobs.

See more: google.cloud.aiplatform_v1.types.SpecialistPool

google.cloud.aiplatform_v1.types.StartNotebookRuntimeOperationMetadata

StartNotebookRuntimeOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Metadata information for NotebookService.StartNotebookRuntime.

See more: google.cloud.aiplatform_v1.types.StartNotebookRuntimeOperationMetadata

google.cloud.aiplatform_v1.types.StartNotebookRuntimeRequest

StartNotebookRuntimeRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for NotebookService.StartNotebookRuntime.

See more: google.cloud.aiplatform_v1.types.StartNotebookRuntimeRequest

google.cloud.aiplatform_v1.types.StartNotebookRuntimeResponse

StartNotebookRuntimeResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for NotebookService.StartNotebookRuntime.

See more: google.cloud.aiplatform_v1.types.StartNotebookRuntimeResponse

google.cloud.aiplatform_v1.types.StopTrialRequest

StopTrialRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.StopTrial.

See more: google.cloud.aiplatform_v1.types.StopTrialRequest

google.cloud.aiplatform_v1.types.StratifiedSplit

StratifiedSplit(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Assigns input data to the training, validation, and test sets so that the distribution of values found in the categorical column (as specified by the key field) is mirrored within each split.

See more: google.cloud.aiplatform_v1.types.StratifiedSplit

google.cloud.aiplatform_v1.types.StreamDirectPredictRequest

StreamDirectPredictRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PredictionService.StreamDirectPredict.

See more: google.cloud.aiplatform_v1.types.StreamDirectPredictRequest

google.cloud.aiplatform_v1.types.StreamDirectPredictResponse

StreamDirectPredictResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for PredictionService.StreamDirectPredict.

See more: google.cloud.aiplatform_v1.types.StreamDirectPredictResponse

google.cloud.aiplatform_v1.types.StreamDirectRawPredictRequest

StreamDirectRawPredictRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for PredictionService.StreamDirectRawPredict.

See more: google.cloud.aiplatform_v1.types.StreamDirectRawPredictRequest

google.cloud.aiplatform_v1.types.StreamDirectRawPredictResponse

StreamDirectRawPredictResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for PredictionService.StreamDirectRawPredict.

See more: google.cloud.aiplatform_v1.types.StreamDirectRawPredictResponse

google.cloud.aiplatform_v1.types.StreamRawPredictRequest

StreamRawPredictRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PredictionService.StreamRawPredict.

See more: google.cloud.aiplatform_v1.types.StreamRawPredictRequest

google.cloud.aiplatform_v1.types.StreamingPredictRequest

StreamingPredictRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PredictionService.StreamingPredict.

See more: google.cloud.aiplatform_v1.types.StreamingPredictRequest

google.cloud.aiplatform_v1.types.StreamingPredictResponse

StreamingPredictResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for PredictionService.StreamingPredict.

See more: google.cloud.aiplatform_v1.types.StreamingPredictResponse

google.cloud.aiplatform_v1.types.StreamingRawPredictRequest

StreamingRawPredictRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PredictionService.StreamingRawPredict.

See more: google.cloud.aiplatform_v1.types.StreamingRawPredictRequest

google.cloud.aiplatform_v1.types.StreamingRawPredictResponse

StreamingRawPredictResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for PredictionService.StreamingRawPredict.

See more: google.cloud.aiplatform_v1.types.StreamingRawPredictResponse

google.cloud.aiplatform_v1.types.StreamingReadFeatureValuesRequest

StreamingReadFeatureValuesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for [FeaturestoreOnlineServingService.StreamingFeatureValuesRead][].

See more: google.cloud.aiplatform_v1.types.StreamingReadFeatureValuesRequest

google.cloud.aiplatform_v1.types.StringArray

StringArray(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A list of string values.

See more: google.cloud.aiplatform_v1.types.StringArray

google.cloud.aiplatform_v1.types.Study

Study(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A message representing a Study.

See more: google.cloud.aiplatform_v1.types.Study

google.cloud.aiplatform_v1.types.Study.State

State(value)

Describes the Study state.

See more: google.cloud.aiplatform_v1.types.Study.State

google.cloud.aiplatform_v1.types.StudySpec

StudySpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents specification of a Study.

See more: google.cloud.aiplatform_v1.types.StudySpec

google.cloud.aiplatform_v1.types.StudySpec.Algorithm

Algorithm(value)

The available search algorithms for the Study.

See more: google.cloud.aiplatform_v1.types.StudySpec.Algorithm

google.cloud.aiplatform_v1.types.StudySpec.ConvexAutomatedStoppingSpec

ConvexAutomatedStoppingSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration for ConvexAutomatedStoppingSpec.

See more: google.cloud.aiplatform_v1.types.StudySpec.ConvexAutomatedStoppingSpec

google.cloud.aiplatform_v1.types.StudySpec.DecayCurveAutomatedStoppingSpec

DecayCurveAutomatedStoppingSpec(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The decay curve automated stopping rule builds a Gaussian Process Regressor to predict the final objective value of a Trial based on the already completed Trials and the intermediate measurements of the current Trial.

See more: google.cloud.aiplatform_v1.types.StudySpec.DecayCurveAutomatedStoppingSpec

google.cloud.aiplatform_v1.types.StudySpec.MeasurementSelectionType

MeasurementSelectionType(value)

This indicates which measurement to use if/when the service automatically selects the final measurement from previously reported intermediate measurements.

See more: google.cloud.aiplatform_v1.types.StudySpec.MeasurementSelectionType

google.cloud.aiplatform_v1.types.StudySpec.MedianAutomatedStoppingSpec

MedianAutomatedStoppingSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The median automated stopping rule stops a pending Trial if the Trial's best objective_value is strictly below the median 'performance' of all completed Trials reported up to the Trial's last measurement.

See more: google.cloud.aiplatform_v1.types.StudySpec.MedianAutomatedStoppingSpec

google.cloud.aiplatform_v1.types.StudySpec.MetricSpec

MetricSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a metric to optimize.

See more: google.cloud.aiplatform_v1.types.StudySpec.MetricSpec

google.cloud.aiplatform_v1.types.StudySpec.MetricSpec.GoalType

GoalType(value)

The available types of optimization goals.

See more: google.cloud.aiplatform_v1.types.StudySpec.MetricSpec.GoalType

google.cloud.aiplatform_v1.types.StudySpec.MetricSpec.SafetyMetricConfig

SafetyMetricConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Used in safe optimization to specify threshold levels and risk tolerance.

See more: google.cloud.aiplatform_v1.types.StudySpec.MetricSpec.SafetyMetricConfig

google.cloud.aiplatform_v1.types.StudySpec.ObservationNoise

ObservationNoise(value)

Describes the noise level of the repeated observations.

See more: google.cloud.aiplatform_v1.types.StudySpec.ObservationNoise

google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec

ParameterSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a single parameter to optimize.

See more: google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec

google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec.CategoricalValueSpec

CategoricalValueSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Value specification for a parameter in CATEGORICAL type.

See more: google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec.CategoricalValueSpec

google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec.ConditionalParameterSpec

ConditionalParameterSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a parameter spec with condition from its parent parameter.

See more: google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec.ConditionalParameterSpec

google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition

CategoricalValueCondition(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents the spec to match categorical values from parent parameter.

See more: google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition

google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition

DiscreteValueCondition(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents the spec to match discrete values from parent parameter.

See more: google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition

google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition

IntValueCondition(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents the spec to match integer values from parent parameter.

See more: google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition

google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec.DiscreteValueSpec

DiscreteValueSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Value specification for a parameter in DISCRETE type.

See more: google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec.DiscreteValueSpec

google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec.DoubleValueSpec

DoubleValueSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Value specification for a parameter in DOUBLE type.

See more: google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec.DoubleValueSpec

google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec.IntegerValueSpec

IntegerValueSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Value specification for a parameter in INTEGER type.

See more: google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec.IntegerValueSpec

google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec.ScaleType

ScaleType(value)

The type of scaling that should be applied to this parameter.

See more: google.cloud.aiplatform_v1.types.StudySpec.ParameterSpec.ScaleType

google.cloud.aiplatform_v1.types.StudySpec.StudyStoppingConfig

StudyStoppingConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The configuration (stopping conditions) for automated stopping of a Study.

See more: google.cloud.aiplatform_v1.types.StudySpec.StudyStoppingConfig

google.cloud.aiplatform_v1.types.StudyTimeConstraint

StudyTimeConstraint(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Time-based Constraint for Study.

See more: google.cloud.aiplatform_v1.types.StudyTimeConstraint

google.cloud.aiplatform_v1.types.SuggestTrialsMetadata

SuggestTrialsMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Details of operations that perform Trials suggestion.

See more: google.cloud.aiplatform_v1.types.SuggestTrialsMetadata

google.cloud.aiplatform_v1.types.SuggestTrialsRequest

SuggestTrialsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.SuggestTrials.

See more: google.cloud.aiplatform_v1.types.SuggestTrialsRequest

google.cloud.aiplatform_v1.types.SuggestTrialsResponse

SuggestTrialsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for VizierService.SuggestTrials.

See more: google.cloud.aiplatform_v1.types.SuggestTrialsResponse

google.cloud.aiplatform_v1.types.SupervisedHyperParameters

SupervisedHyperParameters(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Hyperparameters for SFT.

See more: google.cloud.aiplatform_v1.types.SupervisedHyperParameters

google.cloud.aiplatform_v1.types.SupervisedHyperParameters.AdapterSize

AdapterSize(value)

Supported adapter sizes for tuning.

See more: google.cloud.aiplatform_v1.types.SupervisedHyperParameters.AdapterSize

google.cloud.aiplatform_v1.types.SupervisedTuningDataStats

SupervisedTuningDataStats(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Tuning data statistics for Supervised Tuning.

See more: google.cloud.aiplatform_v1.types.SupervisedTuningDataStats

google.cloud.aiplatform_v1.types.SupervisedTuningDatasetDistribution

SupervisedTuningDatasetDistribution(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Dataset distribution for Supervised Tuning.

See more: google.cloud.aiplatform_v1.types.SupervisedTuningDatasetDistribution

google.cloud.aiplatform_v1.types.SupervisedTuningDatasetDistribution.DatasetBucket

DatasetBucket(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Dataset bucket used to create a histogram for the distribution given a population of values.

See more: google.cloud.aiplatform_v1.types.SupervisedTuningDatasetDistribution.DatasetBucket

google.cloud.aiplatform_v1.types.SupervisedTuningSpec

SupervisedTuningSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Tuning Spec for Supervised Tuning.

See more: google.cloud.aiplatform_v1.types.SupervisedTuningSpec

google.cloud.aiplatform_v1.types.SyncFeatureViewRequest

SyncFeatureViewRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureOnlineStoreAdminService.SyncFeatureView.

See more: google.cloud.aiplatform_v1.types.SyncFeatureViewRequest

google.cloud.aiplatform_v1.types.SyncFeatureViewResponse

SyncFeatureViewResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Respose message for FeatureOnlineStoreAdminService.SyncFeatureView.

See more: google.cloud.aiplatform_v1.types.SyncFeatureViewResponse

google.cloud.aiplatform_v1.types.TFRecordDestination

TFRecordDestination(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The storage details for TFRecord output content.

See more: google.cloud.aiplatform_v1.types.TFRecordDestination

google.cloud.aiplatform_v1.types.Tensor

Tensor(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A tensor value type.

See more: google.cloud.aiplatform_v1.types.Tensor

google.cloud.aiplatform_v1.types.Tensor.DataType

DataType(value)

Data type of the tensor.

See more: google.cloud.aiplatform_v1.types.Tensor.DataType

google.cloud.aiplatform_v1.types.Tensor.StructValEntry

StructValEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.Tensor.StructValEntry

google.cloud.aiplatform_v1.types.Tensorboard

Tensorboard(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Tensorboard is a physical database that stores users' training metrics.

See more: google.cloud.aiplatform_v1.types.Tensorboard

google.cloud.aiplatform_v1.types.Tensorboard.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.Tensorboard.LabelsEntry

google.cloud.aiplatform_v1.types.TensorboardBlob

TensorboardBlob(mapping=None, *, ignore_unknown_fields=False, **kwargs)

One blob (e.g, image, graph) viewable on a blob metric plot.

See more: google.cloud.aiplatform_v1.types.TensorboardBlob

google.cloud.aiplatform_v1.types.TensorboardBlobSequence

TensorboardBlobSequence(mapping=None, *, ignore_unknown_fields=False, **kwargs)

One point viewable on a blob metric plot, but mostly just a wrapper message to work around repeated fields can't be used directly within oneof fields.

See more: google.cloud.aiplatform_v1.types.TensorboardBlobSequence

google.cloud.aiplatform_v1.types.TensorboardExperiment

TensorboardExperiment(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A TensorboardExperiment is a group of TensorboardRuns, that are typically the results of a training job run, in a Tensorboard.

See more: google.cloud.aiplatform_v1.types.TensorboardExperiment

google.cloud.aiplatform_v1.types.TensorboardExperiment.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.TensorboardExperiment.LabelsEntry

google.cloud.aiplatform_v1.types.TensorboardRun

TensorboardRun(mapping=None, *, ignore_unknown_fields=False, **kwargs)

TensorboardRun maps to a specific execution of a training job with a given set of hyperparameter values, model definition, dataset, etc .

See more: google.cloud.aiplatform_v1.types.TensorboardRun

google.cloud.aiplatform_v1.types.TensorboardRun.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.TensorboardRun.LabelsEntry

google.cloud.aiplatform_v1.types.TensorboardTensor

TensorboardTensor(mapping=None, *, ignore_unknown_fields=False, **kwargs)

One point viewable on a tensor metric plot.

See more: google.cloud.aiplatform_v1.types.TensorboardTensor

google.cloud.aiplatform_v1.types.TensorboardTimeSeries

TensorboardTimeSeries(mapping=None, *, ignore_unknown_fields=False, **kwargs)

TensorboardTimeSeries maps to times series produced in training runs .

See more: google.cloud.aiplatform_v1.types.TensorboardTimeSeries

google.cloud.aiplatform_v1.types.TensorboardTimeSeries.Metadata

Metadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Describes metadata for a TensorboardTimeSeries.

See more: google.cloud.aiplatform_v1.types.TensorboardTimeSeries.Metadata

google.cloud.aiplatform_v1.types.TensorboardTimeSeries.ValueType

ValueType(value)

An enum representing the value type of a TensorboardTimeSeries.

See more: google.cloud.aiplatform_v1.types.TensorboardTimeSeries.ValueType

google.cloud.aiplatform_v1.types.ThresholdConfig

ThresholdConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The config for feature monitoring threshold.

See more: google.cloud.aiplatform_v1.types.ThresholdConfig

google.cloud.aiplatform_v1.types.TimeSeriesData

TimeSeriesData(mapping=None, *, ignore_unknown_fields=False, **kwargs)

All the data stored in a TensorboardTimeSeries.

See more: google.cloud.aiplatform_v1.types.TimeSeriesData

google.cloud.aiplatform_v1.types.TimeSeriesDataPoint

TimeSeriesDataPoint(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A TensorboardTimeSeries data point.

See more: google.cloud.aiplatform_v1.types.TimeSeriesDataPoint

google.cloud.aiplatform_v1.types.TimestampSplit

TimestampSplit(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Assigns input data to training, validation, and test sets based on a provided timestamps.

See more: google.cloud.aiplatform_v1.types.TimestampSplit

google.cloud.aiplatform_v1.types.TokensInfo

TokensInfo(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Tokens info with a list of tokens and the corresponding list of token ids.

See more: google.cloud.aiplatform_v1.types.TokensInfo

google.cloud.aiplatform_v1.types.Tool

Tool(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Tool details that the model may use to generate response.

See more: google.cloud.aiplatform_v1.types.Tool

google.cloud.aiplatform_v1.types.TrainingConfig

TrainingConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

CMLE training config.

See more: google.cloud.aiplatform_v1.types.TrainingConfig

google.cloud.aiplatform_v1.types.TrainingPipeline

TrainingPipeline(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The TrainingPipeline orchestrates tasks associated with training a Model.

See more: google.cloud.aiplatform_v1.types.TrainingPipeline

google.cloud.aiplatform_v1.types.TrainingPipeline.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.TrainingPipeline.LabelsEntry

google.cloud.aiplatform_v1.types.Trial

Trial(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A message representing a Trial.

See more: google.cloud.aiplatform_v1.types.Trial

google.cloud.aiplatform_v1.types.Trial.Parameter

Parameter(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A message representing a parameter to be tuned.

See more: google.cloud.aiplatform_v1.types.Trial.Parameter

google.cloud.aiplatform_v1.types.Trial.State

State(value)

Describes a Trial state.

See more: google.cloud.aiplatform_v1.types.Trial.State

google.cloud.aiplatform_v1.types.Trial.WebAccessUrisEntry

WebAccessUrisEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.Trial.WebAccessUrisEntry

google.cloud.aiplatform_v1.types.TrialContext

TrialContext(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Next ID: 3 .

See more: google.cloud.aiplatform_v1.types.TrialContext

google.cloud.aiplatform_v1.types.TunedModel

TunedModel(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The Model Registry Model and Online Prediction Endpoint assiociated with this TuningJob.

See more: google.cloud.aiplatform_v1.types.TunedModel

google.cloud.aiplatform_v1.types.TuningDataStats

TuningDataStats(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The tuning data statistic values for TuningJob.

See more: google.cloud.aiplatform_v1.types.TuningDataStats

google.cloud.aiplatform_v1.types.TuningJob

TuningJob(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a TuningJob that runs with Google owned models.

See more: google.cloud.aiplatform_v1.types.TuningJob

google.cloud.aiplatform_v1.types.TuningJob.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.TuningJob.LabelsEntry

google.cloud.aiplatform_v1.types.Type

Type(value)

Type contains the list of OpenAPI data types as defined by https://swagger.io/docs/specification/data-models/data-types/.

See more: google.cloud.aiplatform_v1.types.Type

google.cloud.aiplatform_v1.types.UndeployIndexOperationMetadata

UndeployIndexOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for IndexEndpointService.UndeployIndex.

See more: google.cloud.aiplatform_v1.types.UndeployIndexOperationMetadata

google.cloud.aiplatform_v1.types.UndeployIndexRequest

UndeployIndexRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexEndpointService.UndeployIndex.

See more: google.cloud.aiplatform_v1.types.UndeployIndexRequest

google.cloud.aiplatform_v1.types.UndeployIndexResponse

UndeployIndexResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for IndexEndpointService.UndeployIndex.

See more: google.cloud.aiplatform_v1.types.UndeployIndexResponse

google.cloud.aiplatform_v1.types.UndeployModelOperationMetadata

UndeployModelOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for EndpointService.UndeployModel.

See more: google.cloud.aiplatform_v1.types.UndeployModelOperationMetadata

google.cloud.aiplatform_v1.types.UndeployModelRequest

UndeployModelRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for EndpointService.UndeployModel.

See more: google.cloud.aiplatform_v1.types.UndeployModelRequest

google.cloud.aiplatform_v1.types.UndeployModelRequest.TrafficSplitEntry

TrafficSplitEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.UndeployModelRequest.TrafficSplitEntry

google.cloud.aiplatform_v1.types.UndeployModelResponse

UndeployModelResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for EndpointService.UndeployModel.

See more: google.cloud.aiplatform_v1.types.UndeployModelResponse

google.cloud.aiplatform_v1.types.UnmanagedContainerModel

UnmanagedContainerModel(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Contains model information necessary to perform batch prediction without requiring a full model import.

See more: google.cloud.aiplatform_v1.types.UnmanagedContainerModel

google.cloud.aiplatform_v1.types.UpdateArtifactRequest

UpdateArtifactRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.UpdateArtifact.

See more: google.cloud.aiplatform_v1.types.UpdateArtifactRequest

google.cloud.aiplatform_v1.types.UpdateContextRequest

UpdateContextRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.UpdateContext.

See more: google.cloud.aiplatform_v1.types.UpdateContextRequest

google.cloud.aiplatform_v1.types.UpdateDatasetRequest

UpdateDatasetRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.UpdateDataset.

See more: google.cloud.aiplatform_v1.types.UpdateDatasetRequest

google.cloud.aiplatform_v1.types.UpdateDeploymentResourcePoolOperationMetadata

UpdateDeploymentResourcePoolOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for UpdateDeploymentResourcePool method.

See more: google.cloud.aiplatform_v1.types.UpdateDeploymentResourcePoolOperationMetadata

google.cloud.aiplatform_v1.types.UpdateEndpointRequest

UpdateEndpointRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for EndpointService.UpdateEndpoint.

See more: google.cloud.aiplatform_v1.types.UpdateEndpointRequest

google.cloud.aiplatform_v1.types.UpdateEntityTypeRequest

UpdateEntityTypeRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.UpdateEntityType.

See more: google.cloud.aiplatform_v1.types.UpdateEntityTypeRequest

google.cloud.aiplatform_v1.types.UpdateExecutionRequest

UpdateExecutionRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.UpdateExecution.

See more: google.cloud.aiplatform_v1.types.UpdateExecutionRequest

google.cloud.aiplatform_v1.types.UpdateExplanationDatasetOperationMetadata

UpdateExplanationDatasetOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for ModelService.UpdateExplanationDataset.

See more: google.cloud.aiplatform_v1.types.UpdateExplanationDatasetOperationMetadata

google.cloud.aiplatform_v1.types.UpdateExplanationDatasetRequest

UpdateExplanationDatasetRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for ModelService.UpdateExplanationDataset.

See more: google.cloud.aiplatform_v1.types.UpdateExplanationDatasetRequest

google.cloud.aiplatform_v1.types.UpdateExplanationDatasetResponse

UpdateExplanationDatasetResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message of ModelService.UpdateExplanationDataset operation.

See more: google.cloud.aiplatform_v1.types.UpdateExplanationDatasetResponse

google.cloud.aiplatform_v1.types.UpdateFeatureGroupOperationMetadata

UpdateFeatureGroupOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform update FeatureGroup.

See more: google.cloud.aiplatform_v1.types.UpdateFeatureGroupOperationMetadata

google.cloud.aiplatform_v1.types.UpdateFeatureGroupRequest

UpdateFeatureGroupRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureRegistryService.UpdateFeatureGroup.

See more: google.cloud.aiplatform_v1.types.UpdateFeatureGroupRequest

google.cloud.aiplatform_v1.types.UpdateFeatureOnlineStoreOperationMetadata

UpdateFeatureOnlineStoreOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform update FeatureOnlineStore.

See more: google.cloud.aiplatform_v1.types.UpdateFeatureOnlineStoreOperationMetadata

google.cloud.aiplatform_v1.types.UpdateFeatureOnlineStoreRequest

UpdateFeatureOnlineStoreRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore.

See more: google.cloud.aiplatform_v1.types.UpdateFeatureOnlineStoreRequest

google.cloud.aiplatform_v1.types.UpdateFeatureOperationMetadata

UpdateFeatureOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform update Feature.

See more: google.cloud.aiplatform_v1.types.UpdateFeatureOperationMetadata

google.cloud.aiplatform_v1.types.UpdateFeatureRequest

UpdateFeatureRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.UpdateFeature.

See more: google.cloud.aiplatform_v1.types.UpdateFeatureRequest

google.cloud.aiplatform_v1.types.UpdateFeatureViewOperationMetadata

UpdateFeatureViewOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform update FeatureView.

See more: google.cloud.aiplatform_v1.types.UpdateFeatureViewOperationMetadata

google.cloud.aiplatform_v1.types.UpdateFeatureViewRequest

UpdateFeatureViewRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureOnlineStoreAdminService.UpdateFeatureView.

See more: google.cloud.aiplatform_v1.types.UpdateFeatureViewRequest

google.cloud.aiplatform_v1.types.UpdateFeaturestoreOperationMetadata

UpdateFeaturestoreOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform update Featurestore.

See more: google.cloud.aiplatform_v1.types.UpdateFeaturestoreOperationMetadata

google.cloud.aiplatform_v1.types.UpdateFeaturestoreRequest

UpdateFeaturestoreRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.UpdateFeaturestore.

See more: google.cloud.aiplatform_v1.types.UpdateFeaturestoreRequest

google.cloud.aiplatform_v1.types.UpdateIndexEndpointRequest

UpdateIndexEndpointRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexEndpointService.UpdateIndexEndpoint.

See more: google.cloud.aiplatform_v1.types.UpdateIndexEndpointRequest

google.cloud.aiplatform_v1.types.UpdateIndexOperationMetadata

UpdateIndexOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for IndexService.UpdateIndex.

See more: google.cloud.aiplatform_v1.types.UpdateIndexOperationMetadata

google.cloud.aiplatform_v1.types.UpdateIndexRequest

UpdateIndexRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexService.UpdateIndex.

See more: google.cloud.aiplatform_v1.types.UpdateIndexRequest

google.cloud.aiplatform_v1.types.UpdateModelDeploymentMonitoringJobOperationMetadata

UpdateModelDeploymentMonitoringJobOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for JobService.UpdateModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1.types.UpdateModelDeploymentMonitoringJobOperationMetadata

google.cloud.aiplatform_v1.types.UpdateModelDeploymentMonitoringJobRequest

UpdateModelDeploymentMonitoringJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.UpdateModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1.types.UpdateModelDeploymentMonitoringJobRequest

google.cloud.aiplatform_v1.types.UpdateModelRequest

UpdateModelRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelService.UpdateModel.

See more: google.cloud.aiplatform_v1.types.UpdateModelRequest

google.cloud.aiplatform_v1.types.UpdatePersistentResourceOperationMetadata

UpdatePersistentResourceOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform update PersistentResource.

See more: google.cloud.aiplatform_v1.types.UpdatePersistentResourceOperationMetadata

google.cloud.aiplatform_v1.types.UpdatePersistentResourceRequest

UpdatePersistentResourceRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for UpdatePersistentResource method.

See more: google.cloud.aiplatform_v1.types.UpdatePersistentResourceRequest

google.cloud.aiplatform_v1.types.UpdateScheduleRequest

UpdateScheduleRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ScheduleService.UpdateSchedule.

See more: google.cloud.aiplatform_v1.types.UpdateScheduleRequest

google.cloud.aiplatform_v1.types.UpdateSpecialistPoolOperationMetadata

UpdateSpecialistPoolOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation metadata for SpecialistPoolService.UpdateSpecialistPool.

See more: google.cloud.aiplatform_v1.types.UpdateSpecialistPoolOperationMetadata

google.cloud.aiplatform_v1.types.UpdateSpecialistPoolRequest

UpdateSpecialistPoolRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for SpecialistPoolService.UpdateSpecialistPool.

See more: google.cloud.aiplatform_v1.types.UpdateSpecialistPoolRequest

google.cloud.aiplatform_v1.types.UpdateTensorboardExperimentRequest

UpdateTensorboardExperimentRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.UpdateTensorboardExperiment.

See more: google.cloud.aiplatform_v1.types.UpdateTensorboardExperimentRequest

google.cloud.aiplatform_v1.types.UpdateTensorboardOperationMetadata

UpdateTensorboardOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform update Tensorboard.

See more: google.cloud.aiplatform_v1.types.UpdateTensorboardOperationMetadata

google.cloud.aiplatform_v1.types.UpdateTensorboardRequest

UpdateTensorboardRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for TensorboardService.UpdateTensorboard.

See more: google.cloud.aiplatform_v1.types.UpdateTensorboardRequest

google.cloud.aiplatform_v1.types.UpdateTensorboardRunRequest

UpdateTensorboardRunRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for TensorboardService.UpdateTensorboardRun.

See more: google.cloud.aiplatform_v1.types.UpdateTensorboardRunRequest

google.cloud.aiplatform_v1.types.UpdateTensorboardTimeSeriesRequest

UpdateTensorboardTimeSeriesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.UpdateTensorboardTimeSeries.

See more: google.cloud.aiplatform_v1.types.UpdateTensorboardTimeSeriesRequest

google.cloud.aiplatform_v1.types.UpgradeNotebookRuntimeOperationMetadata

UpgradeNotebookRuntimeOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Metadata information for NotebookService.UpgradeNotebookRuntime.

See more: google.cloud.aiplatform_v1.types.UpgradeNotebookRuntimeOperationMetadata

google.cloud.aiplatform_v1.types.UpgradeNotebookRuntimeRequest

UpgradeNotebookRuntimeRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for NotebookService.UpgradeNotebookRuntime.

See more: google.cloud.aiplatform_v1.types.UpgradeNotebookRuntimeRequest

google.cloud.aiplatform_v1.types.UpgradeNotebookRuntimeResponse

UpgradeNotebookRuntimeResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for NotebookService.UpgradeNotebookRuntime.

See more: google.cloud.aiplatform_v1.types.UpgradeNotebookRuntimeResponse

google.cloud.aiplatform_v1.types.UploadModelOperationMetadata

UploadModelOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of ModelService.UploadModel operation.

See more: google.cloud.aiplatform_v1.types.UploadModelOperationMetadata

google.cloud.aiplatform_v1.types.UploadModelRequest

UploadModelRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelService.UploadModel.

See more: google.cloud.aiplatform_v1.types.UploadModelRequest

google.cloud.aiplatform_v1.types.UploadModelResponse

UploadModelResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message of ModelService.UploadModel operation.

See more: google.cloud.aiplatform_v1.types.UploadModelResponse

google.cloud.aiplatform_v1.types.UpsertDatapointsRequest

UpsertDatapointsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexService.UpsertDatapoints .

See more: google.cloud.aiplatform_v1.types.UpsertDatapointsRequest

google.cloud.aiplatform_v1.types.UpsertDatapointsResponse

UpsertDatapointsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for IndexService.UpsertDatapoints .

See more: google.cloud.aiplatform_v1.types.UpsertDatapointsResponse

google.cloud.aiplatform_v1.types.UserActionReference

UserActionReference(mapping=None, *, ignore_unknown_fields=False, **kwargs)

References an API call.

See more: google.cloud.aiplatform_v1.types.UserActionReference

google.cloud.aiplatform_v1.types.Value

Value(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Value is the value of the field.

See more: google.cloud.aiplatform_v1.types.Value

google.cloud.aiplatform_v1.types.VertexAISearch

VertexAISearch(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Retrieve from Vertex AI Search datastore for grounding.

See more: google.cloud.aiplatform_v1.types.VertexAISearch

google.cloud.aiplatform_v1.types.VideoMetadata

VideoMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Metadata describes the input video content.

See more: google.cloud.aiplatform_v1.types.VideoMetadata

google.cloud.aiplatform_v1.types.WorkerPoolSpec

WorkerPoolSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents the spec of a worker pool in a job.

See more: google.cloud.aiplatform_v1.types.WorkerPoolSpec

google.cloud.aiplatform_v1.types.WriteFeatureValuesPayload

WriteFeatureValuesPayload(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Contains Feature values to be written for a specific entity.

See more: google.cloud.aiplatform_v1.types.WriteFeatureValuesPayload

google.cloud.aiplatform_v1.types.WriteFeatureValuesPayload.FeatureValuesEntry

FeatureValuesEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1.types.WriteFeatureValuesPayload.FeatureValuesEntry

google.cloud.aiplatform_v1.types.WriteFeatureValuesRequest

WriteFeatureValuesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreOnlineServingService.WriteFeatureValues.

See more: google.cloud.aiplatform_v1.types.WriteFeatureValuesRequest

google.cloud.aiplatform_v1.types.WriteFeatureValuesResponse

WriteFeatureValuesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeaturestoreOnlineServingService.WriteFeatureValues.

See more: google.cloud.aiplatform_v1.types.WriteFeatureValuesResponse

google.cloud.aiplatform_v1.types.WriteTensorboardExperimentDataRequest

WriteTensorboardExperimentDataRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.WriteTensorboardExperimentData.

See more: google.cloud.aiplatform_v1.types.WriteTensorboardExperimentDataRequest

google.cloud.aiplatform_v1.types.WriteTensorboardExperimentDataResponse

WriteTensorboardExperimentDataResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for TensorboardService.WriteTensorboardExperimentData.

See more: google.cloud.aiplatform_v1.types.WriteTensorboardExperimentDataResponse

google.cloud.aiplatform_v1.types.WriteTensorboardRunDataRequest

WriteTensorboardRunDataRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.WriteTensorboardRunData.

See more: google.cloud.aiplatform_v1.types.WriteTensorboardRunDataRequest

google.cloud.aiplatform_v1.types.WriteTensorboardRunDataResponse

WriteTensorboardRunDataResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for TensorboardService.WriteTensorboardRunData.

See more: google.cloud.aiplatform_v1.types.WriteTensorboardRunDataResponse

google.cloud.aiplatform_v1.types.XraiAttribution

XraiAttribution(mapping=None, *, ignore_unknown_fields=False, **kwargs)

An explanation method that redistributes Integrated Gradients attributions to segmented regions, taking advantage of the model's fully differentiable structure.

See more: google.cloud.aiplatform_v1.types.XraiAttribution

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient

DatasetServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.dataset_service.transports.base.DatasetServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the dataset service async client.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.annotation_path

annotation_path(
    project: str, location: str, dataset: str, data_item: str, annotation: str
) -> str

Returns a fully-qualified annotation string.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.annotation_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.annotation_spec_path

annotation_spec_path(
    project: str, location: str, dataset: str, annotation_spec: str
) -> str

Returns a fully-qualified annotation_spec string.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.annotation_spec_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.create_dataset

create_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.CreateDatasetRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    dataset: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.dataset.Dataset
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a Dataset.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.create_dataset

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.create_dataset_version

create_dataset_version(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.CreateDatasetVersionRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    dataset_version: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.dataset_version.DatasetVersion
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Create a version from a Dataset.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.create_dataset_version

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.data_item_path

data_item_path(project: str, location: str, dataset: str, data_item: str) -> str

Returns a fully-qualified data_item string.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.data_item_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.dataset_path

dataset_path(project: str, location: str, dataset: str) -> str

Returns a fully-qualified dataset string.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.dataset_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.dataset_version_path

dataset_version_path(
    project: str, location: str, dataset: str, dataset_version: str
) -> str

Returns a fully-qualified dataset_version string.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.dataset_version_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.delete_dataset

delete_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.DeleteDatasetRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a Dataset.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.delete_dataset

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.delete_dataset_version

delete_dataset_version(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.DeleteDatasetVersionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a Dataset version.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.delete_dataset_version

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.delete_saved_query

delete_saved_query(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.DeleteSavedQueryRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a SavedQuery.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.delete_saved_query

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.export_data

export_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.ExportDataRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    export_config: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.dataset.ExportDataConfig
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Exports data from a Dataset.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.export_data

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.get_annotation_spec

get_annotation_spec(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.GetAnnotationSpecRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.annotation_spec.AnnotationSpec

Gets an AnnotationSpec.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.get_annotation_spec

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.get_dataset

get_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.GetDatasetRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.dataset.Dataset

Gets a Dataset.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.get_dataset

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.get_dataset_version

get_dataset_version(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.GetDatasetVersionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.dataset_version.DatasetVersion

Gets a Dataset version.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.get_dataset_version

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.dataset_service.transports.base.DatasetServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.import_data

import_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.ImportDataRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    import_configs: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1beta1.types.dataset.ImportDataConfig
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Imports data into a Dataset.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.import_data

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.list_annotations

list_annotations(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.ListAnnotationsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListAnnotationsAsyncPager
)

Lists Annotations belongs to a dataitem.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.list_annotations

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.list_data_items

list_data_items(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.ListDataItemsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListDataItemsAsyncPager
)

Lists DataItems in a Dataset.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.list_data_items

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.list_dataset_versions

list_dataset_versions(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.ListDatasetVersionsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListDatasetVersionsAsyncPager
)

Lists DatasetVersions in a Dataset.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.list_dataset_versions

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.list_datasets

list_datasets(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.ListDatasetsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListDatasetsAsyncPager
)

Lists Datasets in a Location.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.list_datasets

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.list_saved_queries

list_saved_queries(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.ListSavedQueriesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListSavedQueriesAsyncPager
)

Lists SavedQueries in a Dataset.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.list_saved_queries

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.parse_annotation_path

parse_annotation_path(path: str) -> typing.Dict[str, str]

Parses a annotation path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.parse_annotation_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.parse_annotation_spec_path

parse_annotation_spec_path(path: str) -> typing.Dict[str, str]

Parses a annotation_spec path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.parse_annotation_spec_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.parse_data_item_path

parse_data_item_path(path: str) -> typing.Dict[str, str]

Parses a data_item path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.parse_data_item_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.parse_dataset_path

parse_dataset_path(path: str) -> typing.Dict[str, str]

Parses a dataset path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.parse_dataset_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.parse_dataset_version_path

parse_dataset_version_path(path: str) -> typing.Dict[str, str]

Parses a dataset_version path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.parse_dataset_version_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.parse_saved_query_path

parse_saved_query_path(path: str) -> typing.Dict[str, str]

Parses a saved_query path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.parse_saved_query_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.restore_dataset_version

restore_dataset_version(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.RestoreDatasetVersionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Restores a dataset version.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.restore_dataset_version

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.saved_query_path

saved_query_path(
    project: str, location: str, dataset: str, saved_query: str
) -> str

Returns a fully-qualified saved_query string.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.saved_query_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.search_data_items

search_data_items(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.SearchDataItemsRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.SearchDataItemsAsyncPager
)

Searches DataItems in a Dataset.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.search_data_items

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.update_dataset

update_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.UpdateDatasetRequest,
            dict,
        ]
    ] = None,
    *,
    dataset: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.dataset.Dataset
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.dataset.Dataset

Updates a Dataset.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.update_dataset

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient

DatasetServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.dataset_service.transports.base.DatasetServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the dataset service client.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.exit

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.annotation_path

annotation_path(
    project: str, location: str, dataset: str, data_item: str, annotation: str
) -> str

Returns a fully-qualified annotation string.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.annotation_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.annotation_spec_path

annotation_spec_path(
    project: str, location: str, dataset: str, annotation_spec: str
) -> str

Returns a fully-qualified annotation_spec string.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.annotation_spec_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.create_dataset

create_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.CreateDatasetRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    dataset: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.dataset.Dataset
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a Dataset.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.create_dataset

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.create_dataset_version

create_dataset_version(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.CreateDatasetVersionRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    dataset_version: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.dataset_version.DatasetVersion
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Create a version from a Dataset.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.create_dataset_version

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.data_item_path

data_item_path(project: str, location: str, dataset: str, data_item: str) -> str

Returns a fully-qualified data_item string.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.data_item_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.dataset_path

dataset_path(project: str, location: str, dataset: str) -> str

Returns a fully-qualified dataset string.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.dataset_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.dataset_version_path

dataset_version_path(
    project: str, location: str, dataset: str, dataset_version: str
) -> str

Returns a fully-qualified dataset_version string.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.dataset_version_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.delete_dataset

delete_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.DeleteDatasetRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a Dataset.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.delete_dataset

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.delete_dataset_version

delete_dataset_version(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.DeleteDatasetVersionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a Dataset version.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.delete_dataset_version

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.delete_saved_query

delete_saved_query(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.DeleteSavedQueryRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a SavedQuery.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.delete_saved_query

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.export_data

export_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.ExportDataRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    export_config: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.dataset.ExportDataConfig
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Exports data from a Dataset.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.export_data

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.get_annotation_spec

get_annotation_spec(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.GetAnnotationSpecRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.annotation_spec.AnnotationSpec

Gets an AnnotationSpec.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.get_annotation_spec

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.get_dataset

get_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.GetDatasetRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.dataset.Dataset

Gets a Dataset.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.get_dataset

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.get_dataset_version

get_dataset_version(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.GetDatasetVersionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.dataset_version.DatasetVersion

Gets a Dataset version.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.get_dataset_version

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.import_data

import_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.ImportDataRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    import_configs: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1beta1.types.dataset.ImportDataConfig
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Imports data into a Dataset.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.import_data

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.list_annotations

list_annotations(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.ListAnnotationsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListAnnotationsPager
)

Lists Annotations belongs to a dataitem.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.list_annotations

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.list_data_items

list_data_items(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.ListDataItemsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListDataItemsPager

Lists DataItems in a Dataset.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.list_data_items

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.list_dataset_versions

list_dataset_versions(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.ListDatasetVersionsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListDatasetVersionsPager
)

Lists DatasetVersions in a Dataset.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.list_dataset_versions

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.list_datasets

list_datasets(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.ListDatasetsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListDatasetsPager

Lists Datasets in a Location.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.list_datasets

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.list_saved_queries

list_saved_queries(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.ListSavedQueriesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListSavedQueriesPager
)

Lists SavedQueries in a Dataset.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.list_saved_queries

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.parse_annotation_path

parse_annotation_path(path: str) -> typing.Dict[str, str]

Parses a annotation path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.parse_annotation_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.parse_annotation_spec_path

parse_annotation_spec_path(path: str) -> typing.Dict[str, str]

Parses a annotation_spec path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.parse_annotation_spec_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.parse_data_item_path

parse_data_item_path(path: str) -> typing.Dict[str, str]

Parses a data_item path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.parse_data_item_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.parse_dataset_path

parse_dataset_path(path: str) -> typing.Dict[str, str]

Parses a dataset path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.parse_dataset_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.parse_dataset_version_path

parse_dataset_version_path(path: str) -> typing.Dict[str, str]

Parses a dataset_version path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.parse_dataset_version_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.parse_saved_query_path

parse_saved_query_path(path: str) -> typing.Dict[str, str]

Parses a saved_query path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.parse_saved_query_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.restore_dataset_version

restore_dataset_version(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.RestoreDatasetVersionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Restores a dataset version.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.restore_dataset_version

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.saved_query_path

saved_query_path(
    project: str, location: str, dataset: str, saved_query: str
) -> str

Returns a fully-qualified saved_query string.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.saved_query_path

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.search_data_items

search_data_items(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.SearchDataItemsRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.SearchDataItemsPager
)

Searches DataItems in a Dataset.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.search_data_items

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.update_dataset

update_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.dataset_service.UpdateDatasetRequest,
            dict,
        ]
    ] = None,
    *,
    dataset: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.dataset.Dataset
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.dataset.Dataset

Updates a Dataset.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.update_dataset

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListAnnotationsAsyncPager

ListAnnotationsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.dataset_service.ListAnnotationsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.dataset_service.ListAnnotationsRequest,
    response: google.cloud.aiplatform_v1beta1.types.dataset_service.ListAnnotationsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListAnnotationsAsyncPager

google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListAnnotationsPager

ListAnnotationsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.dataset_service.ListAnnotationsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.dataset_service.ListAnnotationsRequest,
    response: google.cloud.aiplatform_v1beta1.types.dataset_service.ListAnnotationsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListAnnotationsPager

google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListDataItemsAsyncPager

ListDataItemsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.dataset_service.ListDataItemsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.dataset_service.ListDataItemsRequest,
    response: google.cloud.aiplatform_v1beta1.types.dataset_service.ListDataItemsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListDataItemsAsyncPager

google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListDataItemsPager

ListDataItemsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.dataset_service.ListDataItemsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.dataset_service.ListDataItemsRequest,
    response: google.cloud.aiplatform_v1beta1.types.dataset_service.ListDataItemsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListDataItemsPager

google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListDatasetVersionsAsyncPager

ListDatasetVersionsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.dataset_service.ListDatasetVersionsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.dataset_service.ListDatasetVersionsRequest,
    response: google.cloud.aiplatform_v1beta1.types.dataset_service.ListDatasetVersionsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListDatasetVersionsAsyncPager

google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListDatasetVersionsPager

ListDatasetVersionsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.dataset_service.ListDatasetVersionsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.dataset_service.ListDatasetVersionsRequest,
    response: google.cloud.aiplatform_v1beta1.types.dataset_service.ListDatasetVersionsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListDatasetVersionsPager

google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListDatasetsAsyncPager

ListDatasetsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.dataset_service.ListDatasetsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.dataset_service.ListDatasetsRequest,
    response: google.cloud.aiplatform_v1beta1.types.dataset_service.ListDatasetsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListDatasetsAsyncPager

google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListDatasetsPager

ListDatasetsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.dataset_service.ListDatasetsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.dataset_service.ListDatasetsRequest,
    response: google.cloud.aiplatform_v1beta1.types.dataset_service.ListDatasetsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListDatasetsPager

google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListSavedQueriesAsyncPager

ListSavedQueriesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.dataset_service.ListSavedQueriesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.dataset_service.ListSavedQueriesRequest,
    response: google.cloud.aiplatform_v1beta1.types.dataset_service.ListSavedQueriesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListSavedQueriesAsyncPager

google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListSavedQueriesPager

ListSavedQueriesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.dataset_service.ListSavedQueriesResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.dataset_service.ListSavedQueriesRequest,
    response: google.cloud.aiplatform_v1beta1.types.dataset_service.ListSavedQueriesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListSavedQueriesPager

google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.SearchDataItemsAsyncPager

SearchDataItemsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.dataset_service.SearchDataItemsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.dataset_service.SearchDataItemsRequest,
    response: google.cloud.aiplatform_v1beta1.types.dataset_service.SearchDataItemsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.SearchDataItemsAsyncPager

google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.SearchDataItemsPager

SearchDataItemsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.dataset_service.SearchDataItemsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.dataset_service.SearchDataItemsRequest,
    response: google.cloud.aiplatform_v1beta1.types.dataset_service.SearchDataItemsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.SearchDataItemsPager

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient

DeploymentResourcePoolServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.transports.base.DeploymentResourcePoolServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the deployment resource pool service async client.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.create_deployment_resource_pool

create_deployment_resource_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.CreateDeploymentResourcePoolRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    deployment_resource_pool: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.deployment_resource_pool.DeploymentResourcePool
    ] = None,
    deployment_resource_pool_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Create a DeploymentResourcePool.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.create_deployment_resource_pool

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.delete_deployment_resource_pool

delete_deployment_resource_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Delete a DeploymentResourcePool.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.delete_deployment_resource_pool

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.deployment_resource_pool_path

deployment_resource_pool_path(
    project: str, location: str, deployment_resource_pool: str
) -> str

Returns a fully-qualified deployment_resource_pool string.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.deployment_resource_pool_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.endpoint_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.get_deployment_resource_pool

get_deployment_resource_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.GetDeploymentResourcePoolRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.deployment_resource_pool.DeploymentResourcePool
)

Get a DeploymentResourcePool.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.get_deployment_resource_pool

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.transports.base.DeploymentResourcePoolServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.list_deployment_resource_pools

list_deployment_resource_pools(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.ListDeploymentResourcePoolsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.pagers.ListDeploymentResourcePoolsAsyncPager
)

List DeploymentResourcePools in a location.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.list_deployment_resource_pools

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.model_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_deployment_resource_pool_path

parse_deployment_resource_pool_path(path: str) -> typing.Dict[str, str]

Parses a deployment_resource_pool path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_deployment_resource_pool_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_endpoint_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.parse_model_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.query_deployed_models

query_deployed_models(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.QueryDeployedModelsRequest,
            dict,
        ]
    ] = None,
    *,
    deployment_resource_pool: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.pagers.QueryDeployedModelsAsyncPager
)

List DeployedModels that have been deployed on this DeploymentResourcePool.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.query_deployed_models

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient

DeploymentResourcePoolServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.transports.base.DeploymentResourcePoolServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the deployment resource pool service client.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.exit

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.create_deployment_resource_pool

create_deployment_resource_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.CreateDeploymentResourcePoolRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    deployment_resource_pool: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.deployment_resource_pool.DeploymentResourcePool
    ] = None,
    deployment_resource_pool_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Create a DeploymentResourcePool.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.create_deployment_resource_pool

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.delete_deployment_resource_pool

delete_deployment_resource_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.DeleteDeploymentResourcePoolRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Delete a DeploymentResourcePool.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.delete_deployment_resource_pool

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.deployment_resource_pool_path

deployment_resource_pool_path(
    project: str, location: str, deployment_resource_pool: str
) -> str

Returns a fully-qualified deployment_resource_pool string.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.deployment_resource_pool_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.endpoint_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.get_deployment_resource_pool

get_deployment_resource_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.GetDeploymentResourcePoolRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.deployment_resource_pool.DeploymentResourcePool
)

Get a DeploymentResourcePool.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.get_deployment_resource_pool

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.list_deployment_resource_pools

list_deployment_resource_pools(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.ListDeploymentResourcePoolsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.pagers.ListDeploymentResourcePoolsPager
)

List DeploymentResourcePools in a location.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.list_deployment_resource_pools

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.model_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_deployment_resource_pool_path

parse_deployment_resource_pool_path(path: str) -> typing.Dict[str, str]

Parses a deployment_resource_pool path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_deployment_resource_pool_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_endpoint_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.parse_model_path

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.query_deployed_models

query_deployed_models(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.QueryDeployedModelsRequest,
            dict,
        ]
    ] = None,
    *,
    deployment_resource_pool: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.pagers.QueryDeployedModelsPager
)

List DeployedModels that have been deployed on this DeploymentResourcePool.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.query_deployed_models

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.pagers.ListDeploymentResourcePoolsAsyncPager

ListDeploymentResourcePoolsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.ListDeploymentResourcePoolsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.ListDeploymentResourcePoolsRequest,
    response: google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.ListDeploymentResourcePoolsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.pagers.ListDeploymentResourcePoolsAsyncPager

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.pagers.ListDeploymentResourcePoolsPager

ListDeploymentResourcePoolsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.ListDeploymentResourcePoolsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.ListDeploymentResourcePoolsRequest,
    response: google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.ListDeploymentResourcePoolsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.pagers.ListDeploymentResourcePoolsPager

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.pagers.QueryDeployedModelsAsyncPager

QueryDeployedModelsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.QueryDeployedModelsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.QueryDeployedModelsRequest,
    response: google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.QueryDeployedModelsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.pagers.QueryDeployedModelsAsyncPager

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.pagers.QueryDeployedModelsPager

QueryDeployedModelsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.QueryDeployedModelsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.QueryDeployedModelsRequest,
    response: google.cloud.aiplatform_v1beta1.types.deployment_resource_pool_service.QueryDeployedModelsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.pagers.QueryDeployedModelsPager

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient

EndpointServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.endpoint_service.transports.base.EndpointServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the endpoint service async client.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.create_endpoint

create_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.endpoint_service.CreateEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    endpoint: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.endpoint.Endpoint
    ] = None,
    endpoint_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates an Endpoint.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.create_endpoint

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.delete_endpoint

delete_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.endpoint_service.DeleteEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes an Endpoint.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.delete_endpoint

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.deploy_model

deploy_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.endpoint_service.DeployModelRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    deployed_model: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.endpoint.DeployedModel
    ] = None,
    traffic_split: typing.Optional[typing.MutableMapping[str, int]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deploys a Model into this Endpoint, creating a DeployedModel within it.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.deploy_model

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.deployment_resource_pool_path

deployment_resource_pool_path(
    project: str, location: str, deployment_resource_pool: str
) -> str

Returns a fully-qualified deployment_resource_pool string.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.deployment_resource_pool_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.endpoint_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.get_endpoint

get_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.endpoint_service.GetEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.endpoint.Endpoint

Gets an Endpoint.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.get_endpoint

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.endpoint_service.transports.base.EndpointServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.list_endpoints

list_endpoints(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.endpoint_service.ListEndpointsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.endpoint_service.pagers.ListEndpointsAsyncPager
)

Lists Endpoints in a Location.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.list_endpoints

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.model_deployment_monitoring_job_path

model_deployment_monitoring_job_path(
    project: str, location: str, model_deployment_monitoring_job: str
) -> str

Returns a fully-qualified model_deployment_monitoring_job string.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.model_deployment_monitoring_job_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.model_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.mutate_deployed_model

mutate_deployed_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.endpoint_service.MutateDeployedModelRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    deployed_model: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.endpoint.DeployedModel
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates an existing deployed model.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.mutate_deployed_model

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.network_path

network_path(project: str, network: str) -> str

Returns a fully-qualified network string.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.network_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.parse_deployment_resource_pool_path

parse_deployment_resource_pool_path(path: str) -> typing.Dict[str, str]

Parses a deployment_resource_pool path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.parse_deployment_resource_pool_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.parse_endpoint_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.parse_model_deployment_monitoring_job_path

parse_model_deployment_monitoring_job_path(path: str) -> typing.Dict[str, str]

Parses a model_deployment_monitoring_job path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.parse_model_deployment_monitoring_job_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.parse_model_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.parse_network_path

parse_network_path(path: str) -> typing.Dict[str, str]

Parses a network path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.parse_network_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.undeploy_model

undeploy_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.endpoint_service.UndeployModelRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    deployed_model_id: typing.Optional[str] = None,
    traffic_split: typing.Optional[typing.MutableMapping[str, int]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Undeploys a Model from an Endpoint, removing a DeployedModel from it, and freeing all resources it's using.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.undeploy_model

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.update_endpoint

update_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.endpoint_service.UpdateEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.endpoint.Endpoint
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.endpoint.Endpoint

Updates an Endpoint.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.update_endpoint

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient

EndpointServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.endpoint_service.transports.base.EndpointServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the endpoint service client.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.exit

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.create_endpoint

create_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.endpoint_service.CreateEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    endpoint: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.endpoint.Endpoint
    ] = None,
    endpoint_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates an Endpoint.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.create_endpoint

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.delete_endpoint

delete_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.endpoint_service.DeleteEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes an Endpoint.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.delete_endpoint

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.deploy_model

deploy_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.endpoint_service.DeployModelRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    deployed_model: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.endpoint.DeployedModel
    ] = None,
    traffic_split: typing.Optional[typing.MutableMapping[str, int]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deploys a Model into this Endpoint, creating a DeployedModel within it.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.deploy_model

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.deployment_resource_pool_path

deployment_resource_pool_path(
    project: str, location: str, deployment_resource_pool: str
) -> str

Returns a fully-qualified deployment_resource_pool string.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.deployment_resource_pool_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.endpoint_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.get_endpoint

get_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.endpoint_service.GetEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.endpoint.Endpoint

Gets an Endpoint.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.get_endpoint

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.list_endpoints

list_endpoints(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.endpoint_service.ListEndpointsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.endpoint_service.pagers.ListEndpointsPager
)

Lists Endpoints in a Location.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.list_endpoints

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.model_deployment_monitoring_job_path

model_deployment_monitoring_job_path(
    project: str, location: str, model_deployment_monitoring_job: str
) -> str

Returns a fully-qualified model_deployment_monitoring_job string.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.model_deployment_monitoring_job_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.model_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.mutate_deployed_model

mutate_deployed_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.endpoint_service.MutateDeployedModelRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    deployed_model: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.endpoint.DeployedModel
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates an existing deployed model.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.mutate_deployed_model

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.network_path

network_path(project: str, network: str) -> str

Returns a fully-qualified network string.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.network_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.parse_deployment_resource_pool_path

parse_deployment_resource_pool_path(path: str) -> typing.Dict[str, str]

Parses a deployment_resource_pool path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.parse_deployment_resource_pool_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.parse_endpoint_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.parse_model_deployment_monitoring_job_path

parse_model_deployment_monitoring_job_path(path: str) -> typing.Dict[str, str]

Parses a model_deployment_monitoring_job path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.parse_model_deployment_monitoring_job_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.parse_model_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.parse_network_path

parse_network_path(path: str) -> typing.Dict[str, str]

Parses a network path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.parse_network_path

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.undeploy_model

undeploy_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.endpoint_service.UndeployModelRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    deployed_model_id: typing.Optional[str] = None,
    traffic_split: typing.Optional[typing.MutableMapping[str, int]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Undeploys a Model from an Endpoint, removing a DeployedModel from it, and freeing all resources it's using.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.undeploy_model

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.update_endpoint

update_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.endpoint_service.UpdateEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.endpoint.Endpoint
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.endpoint.Endpoint

Updates an Endpoint.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.update_endpoint

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.endpoint_service.pagers.ListEndpointsAsyncPager

ListEndpointsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.endpoint_service.ListEndpointsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.endpoint_service.ListEndpointsRequest,
    response: google.cloud.aiplatform_v1beta1.types.endpoint_service.ListEndpointsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.pagers.ListEndpointsAsyncPager

google.cloud.aiplatform_v1beta1.services.endpoint_service.pagers.ListEndpointsPager

ListEndpointsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.endpoint_service.ListEndpointsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.endpoint_service.ListEndpointsRequest,
    response: google.cloud.aiplatform_v1beta1.types.endpoint_service.ListEndpointsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.pagers.ListEndpointsPager

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient

EvaluationServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.evaluation_service.transports.base.EvaluationServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the evaluation service async client.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.evaluate_instances

evaluate_instances(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.evaluation_service.EvaluateInstancesRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.evaluation_service.EvaluateInstancesResponse

Evaluates instances based on a given metric.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.evaluate_instances

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.evaluation_service.transports.base.EvaluationServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient

EvaluationServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.evaluation_service.transports.base.EvaluationServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the evaluation service client.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.exit

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.evaluate_instances

evaluate_instances(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.evaluation_service.EvaluateInstancesRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.evaluation_service.EvaluateInstancesResponse

Evaluates instances based on a given metric.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.evaluate_instances

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient

ExtensionExecutionServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.extension_execution_service.transports.base.ExtensionExecutionServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the extension execution service async client.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.execute_extension

execute_extension(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.extension_execution_service.ExecuteExtensionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    operation_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.extension_execution_service.ExecuteExtensionResponse
)

Executes the request against a given extension.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.execute_extension

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.extension_path

extension_path(project: str, location: str, extension: str) -> str

Returns a fully-qualified extension string.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.extension_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.extension_execution_service.transports.base.ExtensionExecutionServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.parse_extension_path

parse_extension_path(path: str) -> typing.Dict[str, str]

Parses a extension path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.parse_extension_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.parse_secret_version_path

parse_secret_version_path(path: str) -> typing.Dict[str, str]

Parses a secret_version path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.parse_secret_version_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.query_extension

query_extension(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.extension_execution_service.QueryExtensionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    contents: typing.Optional[
        typing.MutableSequence[google.cloud.aiplatform_v1beta1.types.content.Content]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.extension_execution_service.QueryExtensionResponse
)

Queries an extension with a default controller.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.query_extension

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.secret_version_path

secret_version_path(project: str, secret: str, secret_version: str) -> str

Returns a fully-qualified secret_version string.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.secret_version_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient

ExtensionExecutionServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.extension_execution_service.transports.base.ExtensionExecutionServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the extension execution service client.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.exit

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.execute_extension

execute_extension(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.extension_execution_service.ExecuteExtensionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    operation_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.extension_execution_service.ExecuteExtensionResponse
)

Executes the request against a given extension.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.execute_extension

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.extension_path

extension_path(project: str, location: str, extension: str) -> str

Returns a fully-qualified extension string.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.extension_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.parse_extension_path

parse_extension_path(path: str) -> typing.Dict[str, str]

Parses a extension path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.parse_extension_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.parse_secret_version_path

parse_secret_version_path(path: str) -> typing.Dict[str, str]

Parses a secret_version path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.parse_secret_version_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.query_extension

query_extension(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.extension_execution_service.QueryExtensionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    contents: typing.Optional[
        typing.MutableSequence[google.cloud.aiplatform_v1beta1.types.content.Content]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.extension_execution_service.QueryExtensionResponse
)

Queries an extension with a default controller.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.query_extension

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.secret_version_path

secret_version_path(project: str, secret: str, secret_version: str) -> str

Returns a fully-qualified secret_version string.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.secret_version_path

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient

ExtensionRegistryServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.extension_registry_service.transports.base.ExtensionRegistryServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the extension registry service async client.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.delete_extension

delete_extension(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.extension_registry_service.DeleteExtensionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes an Extension.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.delete_extension

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.extension_path

extension_path(project: str, location: str, extension: str) -> str

Returns a fully-qualified extension string.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.extension_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.get_extension

get_extension(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.extension_registry_service.GetExtensionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.extension.Extension

Gets an Extension.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.get_extension

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.extension_registry_service.transports.base.ExtensionRegistryServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.import_extension

import_extension(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.extension_registry_service.ImportExtensionRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    extension: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.extension.Extension
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Imports an Extension.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.import_extension

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.list_extensions

list_extensions(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.extension_registry_service.ListExtensionsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.extension_registry_service.pagers.ListExtensionsAsyncPager
)

Lists Extensions in a location.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.list_extensions

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.parse_extension_path

parse_extension_path(path: str) -> typing.Dict[str, str]

Parses a extension path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.parse_extension_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.parse_secret_version_path

parse_secret_version_path(path: str) -> typing.Dict[str, str]

Parses a secret_version path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.parse_secret_version_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.parse_service_path

parse_service_path(path: str) -> typing.Dict[str, str]

Parses a service path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.parse_service_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.secret_version_path

secret_version_path(project: str, secret: str, secret_version: str) -> str

Returns a fully-qualified secret_version string.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.secret_version_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.service_path

service_path(project: str, location: str, namespace: str, service: str) -> str

Returns a fully-qualified service string.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.service_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.update_extension

update_extension(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.extension_registry_service.UpdateExtensionRequest,
            dict,
        ]
    ] = None,
    *,
    extension: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.extension.Extension
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.extension.Extension

Updates an Extension.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.update_extension

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient

ExtensionRegistryServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.extension_registry_service.transports.base.ExtensionRegistryServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the extension registry service client.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.exit

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.delete_extension

delete_extension(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.extension_registry_service.DeleteExtensionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes an Extension.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.delete_extension

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.extension_path

extension_path(project: str, location: str, extension: str) -> str

Returns a fully-qualified extension string.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.extension_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.get_extension

get_extension(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.extension_registry_service.GetExtensionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.extension.Extension

Gets an Extension.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.get_extension

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.import_extension

import_extension(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.extension_registry_service.ImportExtensionRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    extension: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.extension.Extension
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Imports an Extension.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.import_extension

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.list_extensions

list_extensions(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.extension_registry_service.ListExtensionsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.extension_registry_service.pagers.ListExtensionsPager
)

Lists Extensions in a location.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.list_extensions

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.parse_extension_path

parse_extension_path(path: str) -> typing.Dict[str, str]

Parses a extension path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.parse_extension_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.parse_secret_version_path

parse_secret_version_path(path: str) -> typing.Dict[str, str]

Parses a secret_version path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.parse_secret_version_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.parse_service_path

parse_service_path(path: str) -> typing.Dict[str, str]

Parses a service path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.parse_service_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.secret_version_path

secret_version_path(project: str, secret: str, secret_version: str) -> str

Returns a fully-qualified secret_version string.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.secret_version_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.service_path

service_path(project: str, location: str, namespace: str, service: str) -> str

Returns a fully-qualified service string.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.service_path

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.update_extension

update_extension(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.extension_registry_service.UpdateExtensionRequest,
            dict,
        ]
    ] = None,
    *,
    extension: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.extension.Extension
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.extension.Extension

Updates an Extension.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.update_extension

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.extension_registry_service.pagers.ListExtensionsAsyncPager

ListExtensionsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.extension_registry_service.ListExtensionsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.extension_registry_service.ListExtensionsRequest,
    response: google.cloud.aiplatform_v1beta1.types.extension_registry_service.ListExtensionsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.pagers.ListExtensionsAsyncPager

google.cloud.aiplatform_v1beta1.services.extension_registry_service.pagers.ListExtensionsPager

ListExtensionsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.extension_registry_service.ListExtensionsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.extension_registry_service.ListExtensionsRequest,
    response: google.cloud.aiplatform_v1beta1.types.extension_registry_service.ListExtensionsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.extension_registry_service.pagers.ListExtensionsPager

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient

FeatureOnlineStoreAdminServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.transports.base.FeatureOnlineStoreAdminServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the feature online store admin service async client.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.create_feature_online_store

create_feature_online_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.CreateFeatureOnlineStoreRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    feature_online_store: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature_online_store.FeatureOnlineStore
    ] = None,
    feature_online_store_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a new FeatureOnlineStore in a given project and location.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.create_feature_online_store

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.create_feature_view

create_feature_view(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.CreateFeatureViewRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    feature_view: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature_view.FeatureView
    ] = None,
    feature_view_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a new FeatureView in a given FeatureOnlineStore.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.create_feature_view

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.delete_feature_online_store

delete_feature_online_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    force: typing.Optional[bool] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single FeatureOnlineStore.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.delete_feature_online_store

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.delete_feature_view

delete_feature_view(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.DeleteFeatureViewRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single FeatureView.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.delete_feature_view

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.feature_online_store_path

feature_online_store_path(
    project: str, location: str, feature_online_store: str
) -> str

Returns a fully-qualified feature_online_store string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.feature_online_store_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.feature_view_path

feature_view_path(
    project: str, location: str, feature_online_store: str, feature_view: str
) -> str

Returns a fully-qualified feature_view string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.feature_view_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.feature_view_sync_path

feature_view_sync_path(
    project: str, location: str, feature_online_store: str, feature_view: str
) -> str

Returns a fully-qualified feature_view_sync string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.feature_view_sync_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_feature_online_store

get_feature_online_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.GetFeatureOnlineStoreRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.feature_online_store.FeatureOnlineStore

Gets details of a single FeatureOnlineStore.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_feature_online_store

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_feature_view

get_feature_view(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.GetFeatureViewRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.feature_view.FeatureView

Gets details of a single FeatureView.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_feature_view

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_feature_view_sync

get_feature_view_sync(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.GetFeatureViewSyncRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.feature_view_sync.FeatureViewSync

Gets details of a single FeatureViewSync.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_feature_view_sync

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.transports.base.FeatureOnlineStoreAdminServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.list_feature_online_stores

list_feature_online_stores(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.ListFeatureOnlineStoresRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.pagers.ListFeatureOnlineStoresAsyncPager
)

Lists FeatureOnlineStores in a given project and location.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.list_feature_online_stores

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.list_feature_view_syncs

list_feature_view_syncs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.ListFeatureViewSyncsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.pagers.ListFeatureViewSyncsAsyncPager
)

Lists FeatureViewSyncs in a given FeatureView.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.list_feature_view_syncs

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.list_feature_views

list_feature_views(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.ListFeatureViewsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.pagers.ListFeatureViewsAsyncPager
)

Lists FeatureViews in a given FeatureOnlineStore.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.list_feature_views

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_feature_online_store_path

parse_feature_online_store_path(path: str) -> typing.Dict[str, str]

Parses a feature_online_store path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_feature_online_store_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_feature_view_path

parse_feature_view_path(path: str) -> typing.Dict[str, str]

Parses a feature_view path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_feature_view_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_feature_view_sync_path

parse_feature_view_sync_path(path: str) -> typing.Dict[str, str]

Parses a feature_view_sync path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.parse_feature_view_sync_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.sync_feature_view

sync_feature_view(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.SyncFeatureViewRequest,
            dict,
        ]
    ] = None,
    *,
    feature_view: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.SyncFeatureViewResponse
)

Triggers on-demand sync for the FeatureView.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.sync_feature_view

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.update_feature_online_store

update_feature_online_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest,
            dict,
        ]
    ] = None,
    *,
    feature_online_store: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature_online_store.FeatureOnlineStore
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates the parameters of a single FeatureOnlineStore.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.update_feature_online_store

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.update_feature_view

update_feature_view(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.UpdateFeatureViewRequest,
            dict,
        ]
    ] = None,
    *,
    feature_view: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature_view.FeatureView
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates the parameters of a single FeatureView.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.update_feature_view

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient

FeatureOnlineStoreAdminServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.transports.base.FeatureOnlineStoreAdminServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the feature online store admin service client.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.exit

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.create_feature_online_store

create_feature_online_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.CreateFeatureOnlineStoreRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    feature_online_store: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature_online_store.FeatureOnlineStore
    ] = None,
    feature_online_store_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a new FeatureOnlineStore in a given project and location.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.create_feature_online_store

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.create_feature_view

create_feature_view(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.CreateFeatureViewRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    feature_view: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature_view.FeatureView
    ] = None,
    feature_view_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a new FeatureView in a given FeatureOnlineStore.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.create_feature_view

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.delete_feature_online_store

delete_feature_online_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    force: typing.Optional[bool] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a single FeatureOnlineStore.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.delete_feature_online_store

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.delete_feature_view

delete_feature_view(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.DeleteFeatureViewRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a single FeatureView.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.delete_feature_view

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.feature_online_store_path

feature_online_store_path(
    project: str, location: str, feature_online_store: str
) -> str

Returns a fully-qualified feature_online_store string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.feature_online_store_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.feature_view_path

feature_view_path(
    project: str, location: str, feature_online_store: str, feature_view: str
) -> str

Returns a fully-qualified feature_view string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.feature_view_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.feature_view_sync_path

feature_view_sync_path(
    project: str, location: str, feature_online_store: str, feature_view: str
) -> str

Returns a fully-qualified feature_view_sync string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.feature_view_sync_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_feature_online_store

get_feature_online_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.GetFeatureOnlineStoreRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.feature_online_store.FeatureOnlineStore

Gets details of a single FeatureOnlineStore.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_feature_online_store

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_feature_view

get_feature_view(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.GetFeatureViewRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.feature_view.FeatureView

Gets details of a single FeatureView.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_feature_view

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_feature_view_sync

get_feature_view_sync(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.GetFeatureViewSyncRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.feature_view_sync.FeatureViewSync

Gets details of a single FeatureViewSync.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_feature_view_sync

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.list_feature_online_stores

list_feature_online_stores(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.ListFeatureOnlineStoresRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.pagers.ListFeatureOnlineStoresPager
)

Lists FeatureOnlineStores in a given project and location.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.list_feature_online_stores

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.list_feature_view_syncs

list_feature_view_syncs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.ListFeatureViewSyncsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.pagers.ListFeatureViewSyncsPager
)

Lists FeatureViewSyncs in a given FeatureView.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.list_feature_view_syncs

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.list_feature_views

list_feature_views(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.ListFeatureViewsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.pagers.ListFeatureViewsPager
)

Lists FeatureViews in a given FeatureOnlineStore.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.list_feature_views

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_feature_online_store_path

parse_feature_online_store_path(path: str) -> typing.Dict[str, str]

Parses a feature_online_store path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_feature_online_store_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_feature_view_path

parse_feature_view_path(path: str) -> typing.Dict[str, str]

Parses a feature_view path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_feature_view_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_feature_view_sync_path

parse_feature_view_sync_path(path: str) -> typing.Dict[str, str]

Parses a feature_view_sync path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.parse_feature_view_sync_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.sync_feature_view

sync_feature_view(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.SyncFeatureViewRequest,
            dict,
        ]
    ] = None,
    *,
    feature_view: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.SyncFeatureViewResponse
)

Triggers on-demand sync for the FeatureView.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.sync_feature_view

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.update_feature_online_store

update_feature_online_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest,
            dict,
        ]
    ] = None,
    *,
    feature_online_store: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature_online_store.FeatureOnlineStore
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates the parameters of a single FeatureOnlineStore.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.update_feature_online_store

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.update_feature_view

update_feature_view(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.UpdateFeatureViewRequest,
            dict,
        ]
    ] = None,
    *,
    feature_view: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature_view.FeatureView
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates the parameters of a single FeatureView.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.update_feature_view

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.pagers.ListFeatureOnlineStoresAsyncPager

ListFeatureOnlineStoresAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.ListFeatureOnlineStoresResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.ListFeatureOnlineStoresRequest,
    response: google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.ListFeatureOnlineStoresResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.pagers.ListFeatureOnlineStoresAsyncPager

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.pagers.ListFeatureOnlineStoresPager

ListFeatureOnlineStoresPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.ListFeatureOnlineStoresResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.ListFeatureOnlineStoresRequest,
    response: google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.ListFeatureOnlineStoresResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.pagers.ListFeatureOnlineStoresPager

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.pagers.ListFeatureViewSyncsAsyncPager

ListFeatureViewSyncsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.ListFeatureViewSyncsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.ListFeatureViewSyncsRequest,
    response: google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.ListFeatureViewSyncsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.pagers.ListFeatureViewSyncsAsyncPager

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.pagers.ListFeatureViewSyncsPager

ListFeatureViewSyncsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.ListFeatureViewSyncsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.ListFeatureViewSyncsRequest,
    response: google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.ListFeatureViewSyncsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.pagers.ListFeatureViewSyncsPager

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.pagers.ListFeatureViewsAsyncPager

ListFeatureViewsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.ListFeatureViewsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.ListFeatureViewsRequest,
    response: google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.ListFeatureViewsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.pagers.ListFeatureViewsAsyncPager

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.pagers.ListFeatureViewsPager

ListFeatureViewsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.ListFeatureViewsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.ListFeatureViewsRequest,
    response: google.cloud.aiplatform_v1beta1.types.feature_online_store_admin_service.ListFeatureViewsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.pagers.ListFeatureViewsPager

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient

FeatureOnlineStoreServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.feature_online_store_service.transports.base.FeatureOnlineStoreServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the feature online store service async client.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.feature_view_path

feature_view_path(
    project: str, location: str, feature_online_store: str, feature_view: str
) -> str

Returns a fully-qualified feature_view string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.feature_view_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.fetch_feature_values

fetch_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_service.FetchFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    feature_view: typing.Optional[str] = None,
    data_key: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature_online_store_service.FeatureViewDataKey
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.feature_online_store_service.FetchFeatureValuesResponse
)

Fetch feature values under a FeatureView.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.fetch_feature_values

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.feature_online_store_service.transports.base.FeatureOnlineStoreServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.parse_feature_view_path

parse_feature_view_path(path: str) -> typing.Dict[str, str]

Parses a feature_view path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.parse_feature_view_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.search_nearest_entities

search_nearest_entities(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_service.SearchNearestEntitiesRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.feature_online_store_service.SearchNearestEntitiesResponse
)

Search the nearest entities under a FeatureView.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.search_nearest_entities

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.streaming_fetch_feature_values

streaming_fetch_feature_values(
    requests: typing.Optional[
        typing.AsyncIterator[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_service.StreamingFetchFeatureValuesRequest
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Awaitable[
    typing.AsyncIterable[
        google.cloud.aiplatform_v1beta1.types.feature_online_store_service.StreamingFetchFeatureValuesResponse
    ]
]

Bidirectional streaming RPC to fetch feature values under a FeatureView.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.streaming_fetch_feature_values

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient

FeatureOnlineStoreServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.feature_online_store_service.transports.base.FeatureOnlineStoreServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the feature online store service client.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.exit

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.feature_view_path

feature_view_path(
    project: str, location: str, feature_online_store: str, feature_view: str
) -> str

Returns a fully-qualified feature_view string.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.feature_view_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.fetch_feature_values

fetch_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_service.FetchFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    feature_view: typing.Optional[str] = None,
    data_key: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature_online_store_service.FeatureViewDataKey
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.feature_online_store_service.FetchFeatureValuesResponse
)

Fetch feature values under a FeatureView.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.fetch_feature_values

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.parse_feature_view_path

parse_feature_view_path(path: str) -> typing.Dict[str, str]

Parses a feature_view path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.parse_feature_view_path

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.search_nearest_entities

search_nearest_entities(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_service.SearchNearestEntitiesRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.feature_online_store_service.SearchNearestEntitiesResponse
)

Search the nearest entities under a FeatureView.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.search_nearest_entities

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.streaming_fetch_feature_values

streaming_fetch_feature_values(
    requests: typing.Optional[
        typing.Iterator[
            google.cloud.aiplatform_v1beta1.types.feature_online_store_service.StreamingFetchFeatureValuesRequest
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Iterable[
    google.cloud.aiplatform_v1beta1.types.feature_online_store_service.StreamingFetchFeatureValuesResponse
]

Bidirectional streaming RPC to fetch feature values under a FeatureView.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.streaming_fetch_feature_values

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient

FeatureRegistryServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.feature_registry_service.transports.base.FeatureRegistryServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the feature registry service async client.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.create_feature

create_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.CreateFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    feature: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature.Feature
    ] = None,
    feature_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a new Feature in a given FeatureGroup.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.create_feature

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.create_feature_group

create_feature_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_registry_service.CreateFeatureGroupRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    feature_group: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature_group.FeatureGroup
    ] = None,
    feature_group_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a new FeatureGroup in a given project and location.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.create_feature_group

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.delete_feature

delete_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.DeleteFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single Feature.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.delete_feature

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.delete_feature_group

delete_feature_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_registry_service.DeleteFeatureGroupRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    force: typing.Optional[bool] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single FeatureGroup.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.delete_feature_group

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.feature_group_path

feature_group_path(project: str, location: str, feature_group: str) -> str

Returns a fully-qualified feature_group string.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.feature_group_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.feature_path

feature_path(
    project: str, location: str, featurestore: str, entity_type: str, feature: str
) -> str

Returns a fully-qualified feature string.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.feature_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_feature

get_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.GetFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.feature.Feature

Gets details of a single Feature.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_feature

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_feature_group

get_feature_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_registry_service.GetFeatureGroupRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.feature_group.FeatureGroup

Gets details of a single FeatureGroup.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_feature_group

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.feature_registry_service.transports.base.FeatureRegistryServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.list_feature_groups

list_feature_groups(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureGroupsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.feature_registry_service.pagers.ListFeatureGroupsAsyncPager
)

Lists FeatureGroups in a given project and location.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.list_feature_groups

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.list_features

list_features(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.feature_registry_service.pagers.ListFeaturesAsyncPager
)

Lists Features in a given FeatureGroup.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.list_features

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_feature_group_path

parse_feature_group_path(path: str) -> typing.Dict[str, str]

Parses a feature_group path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_feature_group_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_feature_path

parse_feature_path(path: str) -> typing.Dict[str, str]

Parses a feature path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.parse_feature_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.update_feature

update_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.UpdateFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    feature: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature.Feature
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates the parameters of a single Feature.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.update_feature

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.update_feature_group

update_feature_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_registry_service.UpdateFeatureGroupRequest,
            dict,
        ]
    ] = None,
    *,
    feature_group: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature_group.FeatureGroup
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates the parameters of a single FeatureGroup.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.update_feature_group

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient

FeatureRegistryServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.feature_registry_service.transports.base.FeatureRegistryServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the feature registry service client.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.exit

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.create_feature

create_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.CreateFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    feature: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature.Feature
    ] = None,
    feature_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a new Feature in a given FeatureGroup.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.create_feature

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.create_feature_group

create_feature_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_registry_service.CreateFeatureGroupRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    feature_group: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature_group.FeatureGroup
    ] = None,
    feature_group_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a new FeatureGroup in a given project and location.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.create_feature_group

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.delete_feature

delete_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.DeleteFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a single Feature.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.delete_feature

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.delete_feature_group

delete_feature_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_registry_service.DeleteFeatureGroupRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    force: typing.Optional[bool] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a single FeatureGroup.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.delete_feature_group

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.feature_group_path

feature_group_path(project: str, location: str, feature_group: str) -> str

Returns a fully-qualified feature_group string.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.feature_group_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.feature_path

feature_path(
    project: str, location: str, featurestore: str, entity_type: str, feature: str
) -> str

Returns a fully-qualified feature string.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.feature_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.get_feature

get_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.GetFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.feature.Feature

Gets details of a single Feature.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.get_feature

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.get_feature_group

get_feature_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_registry_service.GetFeatureGroupRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.feature_group.FeatureGroup

Gets details of a single FeatureGroup.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.get_feature_group

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.list_feature_groups

list_feature_groups(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureGroupsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.feature_registry_service.pagers.ListFeatureGroupsPager
)

Lists FeatureGroups in a given project and location.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.list_feature_groups

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.list_features

list_features(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.feature_registry_service.pagers.ListFeaturesPager
)

Lists Features in a given FeatureGroup.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.list_features

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.parse_feature_group_path

parse_feature_group_path(path: str) -> typing.Dict[str, str]

Parses a feature_group path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.parse_feature_group_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.parse_feature_path

parse_feature_path(path: str) -> typing.Dict[str, str]

Parses a feature path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.parse_feature_path

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.update_feature

update_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.UpdateFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    feature: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature.Feature
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates the parameters of a single Feature.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.update_feature

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.update_feature_group

update_feature_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_registry_service.UpdateFeatureGroupRequest,
            dict,
        ]
    ] = None,
    *,
    feature_group: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature_group.FeatureGroup
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates the parameters of a single FeatureGroup.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.update_feature_group

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.feature_registry_service.pagers.ListFeatureGroupsAsyncPager

ListFeatureGroupsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureGroupsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureGroupsRequest,
    response: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureGroupsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.pagers.ListFeatureGroupsAsyncPager

google.cloud.aiplatform_v1beta1.services.feature_registry_service.pagers.ListFeatureGroupsPager

ListFeatureGroupsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureGroupsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureGroupsRequest,
    response: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureGroupsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.pagers.ListFeatureGroupsPager

google.cloud.aiplatform_v1beta1.services.feature_registry_service.pagers.ListFeaturesAsyncPager

ListFeaturesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesRequest,
    response: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.pagers.ListFeaturesAsyncPager

google.cloud.aiplatform_v1beta1.services.feature_registry_service.pagers.ListFeaturesPager

ListFeaturesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesRequest,
    response: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.feature_registry_service.pagers.ListFeaturesPager

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient

FeaturestoreOnlineServingServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.transports.base.FeaturestoreOnlineServingServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the featurestore online serving service async client.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.entity_type_path

entity_type_path(
    project: str, location: str, featurestore: str, entity_type: str
) -> str

Returns a fully-qualified entity_type string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.entity_type_path

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.transports.base.FeaturestoreOnlineServingServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.parse_entity_type_path

parse_entity_type_path(path: str) -> typing.Dict[str, str]

Parses a entity_type path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.parse_entity_type_path

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.read_feature_values

read_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_online_service.ReadFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.featurestore_online_service.ReadFeatureValuesResponse
)

Reads Feature values of a specific entity of an EntityType.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.read_feature_values

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.streaming_read_feature_values

streaming_read_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_online_service.StreamingReadFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Awaitable[
    typing.AsyncIterable[
        google.cloud.aiplatform_v1beta1.types.featurestore_online_service.ReadFeatureValuesResponse
    ]
]

Reads Feature values for multiple entities.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.streaming_read_feature_values

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.write_feature_values

write_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_online_service.WriteFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[str] = None,
    payloads: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1beta1.types.featurestore_online_service.WriteFeatureValuesPayload
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.featurestore_online_service.WriteFeatureValuesResponse
)

Writes Feature values of one or more entities of an EntityType.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.write_feature_values

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient

FeaturestoreOnlineServingServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.transports.base.FeaturestoreOnlineServingServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the featurestore online serving service client.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.exit

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.entity_type_path

entity_type_path(
    project: str, location: str, featurestore: str, entity_type: str
) -> str

Returns a fully-qualified entity_type string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.entity_type_path

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.parse_entity_type_path

parse_entity_type_path(path: str) -> typing.Dict[str, str]

Parses a entity_type path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.parse_entity_type_path

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.read_feature_values

read_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_online_service.ReadFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.featurestore_online_service.ReadFeatureValuesResponse
)

Reads Feature values of a specific entity of an EntityType.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.read_feature_values

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.streaming_read_feature_values

streaming_read_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_online_service.StreamingReadFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Iterable[
    google.cloud.aiplatform_v1beta1.types.featurestore_online_service.ReadFeatureValuesResponse
]

Reads Feature values for multiple entities.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.streaming_read_feature_values

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.write_feature_values

write_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_online_service.WriteFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[str] = None,
    payloads: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1beta1.types.featurestore_online_service.WriteFeatureValuesPayload
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.featurestore_online_service.WriteFeatureValuesResponse
)

Writes Feature values of one or more entities of an EntityType.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.write_feature_values

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient

FeaturestoreServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.featurestore_service.transports.base.FeaturestoreServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the featurestore service async client.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.batch_create_features

batch_create_features(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.BatchCreateFeaturesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.CreateFeatureRequest
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a batch of Features in a given EntityType.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.batch_create_features

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.batch_read_feature_values

batch_read_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.BatchReadFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    featurestore: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Batch reads Feature values from a Featurestore.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.batch_read_feature_values

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.create_entity_type

create_entity_type(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.CreateEntityTypeRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    entity_type: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.entity_type.EntityType
    ] = None,
    entity_type_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a new EntityType in a given Featurestore.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.create_entity_type

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.create_feature

create_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.CreateFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    feature: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature.Feature
    ] = None,
    feature_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a new Feature in a given EntityType.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.create_feature

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.create_featurestore

create_featurestore(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.CreateFeaturestoreRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    featurestore: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.featurestore.Featurestore
    ] = None,
    featurestore_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a new Featurestore in a given project and location.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.create_featurestore

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.delete_entity_type

delete_entity_type(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.DeleteEntityTypeRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    force: typing.Optional[bool] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single EntityType.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.delete_entity_type

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.delete_feature

delete_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.DeleteFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single Feature.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.delete_feature

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.delete_feature_values

delete_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.DeleteFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Delete Feature values from Featurestore.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.delete_feature_values

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.delete_featurestore

delete_featurestore(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.DeleteFeaturestoreRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    force: typing.Optional[bool] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single Featurestore.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.delete_featurestore

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.entity_type_path

entity_type_path(
    project: str, location: str, featurestore: str, entity_type: str
) -> str

Returns a fully-qualified entity_type string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.entity_type_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.export_feature_values

export_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.ExportFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Exports Feature values from all the entities of a target EntityType.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.export_feature_values

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.feature_path

feature_path(
    project: str, location: str, featurestore: str, entity_type: str, feature: str
) -> str

Returns a fully-qualified feature string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.feature_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.featurestore_path

featurestore_path(project: str, location: str, featurestore: str) -> str

Returns a fully-qualified featurestore string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.featurestore_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_entity_type

get_entity_type(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.GetEntityTypeRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.entity_type.EntityType

Gets details of a single EntityType.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_entity_type

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_feature

get_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.GetFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.feature.Feature

Gets details of a single Feature.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_feature

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_featurestore

get_featurestore(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.GetFeaturestoreRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.featurestore.Featurestore

Gets details of a single Featurestore.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_featurestore

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.featurestore_service.transports.base.FeaturestoreServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.import_feature_values

import_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.ImportFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Imports Feature values into the Featurestore from a source storage.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.import_feature_values

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.list_entity_types

list_entity_types(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.ListEntityTypesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.featurestore_service.pagers.ListEntityTypesAsyncPager
)

Lists EntityTypes in a given Featurestore.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.list_entity_types

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.list_features

list_features(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.featurestore_service.pagers.ListFeaturesAsyncPager
)

Lists Features in a given EntityType.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.list_features

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.list_featurestores

list_featurestores(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturestoresRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.featurestore_service.pagers.ListFeaturestoresAsyncPager
)

Lists Featurestores in a given project and location.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.list_featurestores

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_entity_type_path

parse_entity_type_path(path: str) -> typing.Dict[str, str]

Parses a entity_type path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_entity_type_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_feature_path

parse_feature_path(path: str) -> typing.Dict[str, str]

Parses a feature path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_feature_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_featurestore_path

parse_featurestore_path(path: str) -> typing.Dict[str, str]

Parses a featurestore path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.parse_featurestore_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.search_features

search_features(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.SearchFeaturesRequest,
            dict,
        ]
    ] = None,
    *,
    location: typing.Optional[str] = None,
    query: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.featurestore_service.pagers.SearchFeaturesAsyncPager
)

Searches Features matching a query in a given project.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.search_features

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.update_entity_type

update_entity_type(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.UpdateEntityTypeRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.entity_type.EntityType
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.entity_type.EntityType

Updates the parameters of a single EntityType.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.update_entity_type

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.update_feature

update_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.UpdateFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    feature: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature.Feature
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.feature.Feature

Updates the parameters of a single Feature.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.update_feature

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.update_featurestore

update_featurestore(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.UpdateFeaturestoreRequest,
            dict,
        ]
    ] = None,
    *,
    featurestore: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.featurestore.Featurestore
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates the parameters of a single Featurestore.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.update_featurestore

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient

FeaturestoreServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.featurestore_service.transports.base.FeaturestoreServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the featurestore service client.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.exit

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.batch_create_features

batch_create_features(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.BatchCreateFeaturesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.CreateFeatureRequest
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a batch of Features in a given EntityType.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.batch_create_features

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.batch_read_feature_values

batch_read_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.BatchReadFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    featurestore: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Batch reads Feature values from a Featurestore.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.batch_read_feature_values

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.create_entity_type

create_entity_type(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.CreateEntityTypeRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    entity_type: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.entity_type.EntityType
    ] = None,
    entity_type_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a new EntityType in a given Featurestore.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.create_entity_type

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.create_feature

create_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.CreateFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    feature: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature.Feature
    ] = None,
    feature_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a new Feature in a given EntityType.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.create_feature

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.create_featurestore

create_featurestore(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.CreateFeaturestoreRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    featurestore: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.featurestore.Featurestore
    ] = None,
    featurestore_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a new Featurestore in a given project and location.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.create_featurestore

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.delete_entity_type

delete_entity_type(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.DeleteEntityTypeRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    force: typing.Optional[bool] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a single EntityType.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.delete_entity_type

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.delete_feature

delete_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.DeleteFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a single Feature.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.delete_feature

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.delete_feature_values

delete_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.DeleteFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Delete Feature values from Featurestore.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.delete_feature_values

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.delete_featurestore

delete_featurestore(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.DeleteFeaturestoreRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    force: typing.Optional[bool] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a single Featurestore.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.delete_featurestore

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.entity_type_path

entity_type_path(
    project: str, location: str, featurestore: str, entity_type: str
) -> str

Returns a fully-qualified entity_type string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.entity_type_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.export_feature_values

export_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.ExportFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Exports Feature values from all the entities of a target EntityType.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.export_feature_values

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.feature_path

feature_path(
    project: str, location: str, featurestore: str, entity_type: str, feature: str
) -> str

Returns a fully-qualified feature string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.feature_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.featurestore_path

featurestore_path(project: str, location: str, featurestore: str) -> str

Returns a fully-qualified featurestore string.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.featurestore_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.get_entity_type

get_entity_type(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.GetEntityTypeRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.entity_type.EntityType

Gets details of a single EntityType.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.get_entity_type

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.get_feature

get_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.GetFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.feature.Feature

Gets details of a single Feature.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.get_feature

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.get_featurestore

get_featurestore(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.GetFeaturestoreRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.featurestore.Featurestore

Gets details of a single Featurestore.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.get_featurestore

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.import_feature_values

import_feature_values(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.ImportFeatureValuesRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Imports Feature values into the Featurestore from a source storage.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.import_feature_values

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.list_entity_types

list_entity_types(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.ListEntityTypesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.featurestore_service.pagers.ListEntityTypesPager
)

Lists EntityTypes in a given Featurestore.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.list_entity_types

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.list_features

list_features(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.featurestore_service.pagers.ListFeaturesPager
)

Lists Features in a given EntityType.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.list_features

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.list_featurestores

list_featurestores(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturestoresRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.featurestore_service.pagers.ListFeaturestoresPager
)

Lists Featurestores in a given project and location.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.list_featurestores

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.parse_entity_type_path

parse_entity_type_path(path: str) -> typing.Dict[str, str]

Parses a entity_type path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.parse_entity_type_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.parse_feature_path

parse_feature_path(path: str) -> typing.Dict[str, str]

Parses a feature path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.parse_feature_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.parse_featurestore_path

parse_featurestore_path(path: str) -> typing.Dict[str, str]

Parses a featurestore path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.parse_featurestore_path

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.search_features

search_features(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.SearchFeaturesRequest,
            dict,
        ]
    ] = None,
    *,
    location: typing.Optional[str] = None,
    query: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.featurestore_service.pagers.SearchFeaturesPager
)

Searches Features matching a query in a given project.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.search_features

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.update_entity_type

update_entity_type(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.UpdateEntityTypeRequest,
            dict,
        ]
    ] = None,
    *,
    entity_type: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.entity_type.EntityType
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.entity_type.EntityType

Updates the parameters of a single EntityType.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.update_entity_type

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.update_feature

update_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.UpdateFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    feature: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature.Feature
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.feature.Feature

Updates the parameters of a single Feature.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.update_feature

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.update_featurestore

update_featurestore(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.UpdateFeaturestoreRequest,
            dict,
        ]
    ] = None,
    *,
    featurestore: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.featurestore.Featurestore
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates the parameters of a single Featurestore.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.update_featurestore

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.featurestore_service.pagers.ListEntityTypesAsyncPager

ListEntityTypesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.ListEntityTypesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListEntityTypesRequest,
    response: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListEntityTypesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.pagers.ListEntityTypesAsyncPager

google.cloud.aiplatform_v1beta1.services.featurestore_service.pagers.ListEntityTypesPager

ListEntityTypesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.featurestore_service.ListEntityTypesResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListEntityTypesRequest,
    response: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListEntityTypesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.pagers.ListEntityTypesPager

google.cloud.aiplatform_v1beta1.services.featurestore_service.pagers.ListFeaturesAsyncPager

ListFeaturesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesRequest,
    response: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.pagers.ListFeaturesAsyncPager

google.cloud.aiplatform_v1beta1.services.featurestore_service.pagers.ListFeaturesPager

ListFeaturesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesRequest,
    response: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.pagers.ListFeaturesPager

google.cloud.aiplatform_v1beta1.services.featurestore_service.pagers.ListFeaturestoresAsyncPager

ListFeaturestoresAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturestoresResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturestoresRequest,
    response: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturestoresResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.pagers.ListFeaturestoresAsyncPager

google.cloud.aiplatform_v1beta1.services.featurestore_service.pagers.ListFeaturestoresPager

ListFeaturestoresPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturestoresResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturestoresRequest,
    response: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturestoresResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.pagers.ListFeaturestoresPager

google.cloud.aiplatform_v1beta1.services.featurestore_service.pagers.SearchFeaturesAsyncPager

SearchFeaturesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.SearchFeaturesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.featurestore_service.SearchFeaturesRequest,
    response: google.cloud.aiplatform_v1beta1.types.featurestore_service.SearchFeaturesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.pagers.SearchFeaturesAsyncPager

google.cloud.aiplatform_v1beta1.services.featurestore_service.pagers.SearchFeaturesPager

SearchFeaturesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.featurestore_service.SearchFeaturesResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.featurestore_service.SearchFeaturesRequest,
    response: google.cloud.aiplatform_v1beta1.types.featurestore_service.SearchFeaturesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.pagers.SearchFeaturesPager

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient

IndexEndpointServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.index_endpoint_service.transports.base.IndexEndpointServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the index endpoint service async client.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.create_index_endpoint

create_index_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_endpoint_service.CreateIndexEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    index_endpoint: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.index_endpoint.IndexEndpoint
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates an IndexEndpoint.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.create_index_endpoint

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.delete_index_endpoint

delete_index_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_endpoint_service.DeleteIndexEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes an IndexEndpoint.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.delete_index_endpoint

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.deploy_index

deploy_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_endpoint_service.DeployIndexRequest,
            dict,
        ]
    ] = None,
    *,
    index_endpoint: typing.Optional[str] = None,
    deployed_index: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.index_endpoint.DeployedIndex
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deploys an Index into this IndexEndpoint, creating a DeployedIndex within it.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.deploy_index

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.get_index_endpoint

get_index_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_endpoint_service.GetIndexEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.index_endpoint.IndexEndpoint

Gets an IndexEndpoint.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.get_index_endpoint

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.index_endpoint_service.transports.base.IndexEndpointServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.index_endpoint_path

index_endpoint_path(project: str, location: str, index_endpoint: str) -> str

Returns a fully-qualified index_endpoint string.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.index_endpoint_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.index_path

index_path(project: str, location: str, index: str) -> str

Returns a fully-qualified index string.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.index_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.list_index_endpoints

list_index_endpoints(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_endpoint_service.ListIndexEndpointsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.index_endpoint_service.pagers.ListIndexEndpointsAsyncPager
)

Lists IndexEndpoints in a Location.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.list_index_endpoints

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.mutate_deployed_index

mutate_deployed_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_endpoint_service.MutateDeployedIndexRequest,
            dict,
        ]
    ] = None,
    *,
    index_endpoint: typing.Optional[str] = None,
    deployed_index: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.index_endpoint.DeployedIndex
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Update an existing DeployedIndex under an IndexEndpoint.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.mutate_deployed_index

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_index_endpoint_path

parse_index_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a index_endpoint path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_index_endpoint_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_index_path

parse_index_path(path: str) -> typing.Dict[str, str]

Parses a index path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.parse_index_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.undeploy_index

undeploy_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_endpoint_service.UndeployIndexRequest,
            dict,
        ]
    ] = None,
    *,
    index_endpoint: typing.Optional[str] = None,
    deployed_index_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Undeploys an Index from an IndexEndpoint, removing a DeployedIndex from it, and freeing all resources it's using.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.undeploy_index

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.update_index_endpoint

update_index_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_endpoint_service.UpdateIndexEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    index_endpoint: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.index_endpoint.IndexEndpoint
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.index_endpoint.IndexEndpoint

Updates an IndexEndpoint.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.update_index_endpoint

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient

IndexEndpointServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.index_endpoint_service.transports.base.IndexEndpointServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the index endpoint service client.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.exit

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.create_index_endpoint

create_index_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_endpoint_service.CreateIndexEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    index_endpoint: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.index_endpoint.IndexEndpoint
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates an IndexEndpoint.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.create_index_endpoint

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.delete_index_endpoint

delete_index_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_endpoint_service.DeleteIndexEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes an IndexEndpoint.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.delete_index_endpoint

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.deploy_index

deploy_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_endpoint_service.DeployIndexRequest,
            dict,
        ]
    ] = None,
    *,
    index_endpoint: typing.Optional[str] = None,
    deployed_index: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.index_endpoint.DeployedIndex
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deploys an Index into this IndexEndpoint, creating a DeployedIndex within it.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.deploy_index

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.get_index_endpoint

get_index_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_endpoint_service.GetIndexEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.index_endpoint.IndexEndpoint

Gets an IndexEndpoint.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.get_index_endpoint

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.index_endpoint_path

index_endpoint_path(project: str, location: str, index_endpoint: str) -> str

Returns a fully-qualified index_endpoint string.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.index_endpoint_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.index_path

index_path(project: str, location: str, index: str) -> str

Returns a fully-qualified index string.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.index_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.list_index_endpoints

list_index_endpoints(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_endpoint_service.ListIndexEndpointsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.index_endpoint_service.pagers.ListIndexEndpointsPager
)

Lists IndexEndpoints in a Location.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.list_index_endpoints

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.mutate_deployed_index

mutate_deployed_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_endpoint_service.MutateDeployedIndexRequest,
            dict,
        ]
    ] = None,
    *,
    index_endpoint: typing.Optional[str] = None,
    deployed_index: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.index_endpoint.DeployedIndex
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Update an existing DeployedIndex under an IndexEndpoint.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.mutate_deployed_index

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.parse_index_endpoint_path

parse_index_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a index_endpoint path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.parse_index_endpoint_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.parse_index_path

parse_index_path(path: str) -> typing.Dict[str, str]

Parses a index path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.parse_index_path

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.undeploy_index

undeploy_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_endpoint_service.UndeployIndexRequest,
            dict,
        ]
    ] = None,
    *,
    index_endpoint: typing.Optional[str] = None,
    deployed_index_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Undeploys an Index from an IndexEndpoint, removing a DeployedIndex from it, and freeing all resources it's using.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.undeploy_index

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.update_index_endpoint

update_index_endpoint(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_endpoint_service.UpdateIndexEndpointRequest,
            dict,
        ]
    ] = None,
    *,
    index_endpoint: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.index_endpoint.IndexEndpoint
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.index_endpoint.IndexEndpoint

Updates an IndexEndpoint.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.update_index_endpoint

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.pagers.ListIndexEndpointsAsyncPager

ListIndexEndpointsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.index_endpoint_service.ListIndexEndpointsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.index_endpoint_service.ListIndexEndpointsRequest,
    response: google.cloud.aiplatform_v1beta1.types.index_endpoint_service.ListIndexEndpointsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.pagers.ListIndexEndpointsAsyncPager

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.pagers.ListIndexEndpointsPager

ListIndexEndpointsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.index_endpoint_service.ListIndexEndpointsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.index_endpoint_service.ListIndexEndpointsRequest,
    response: google.cloud.aiplatform_v1beta1.types.index_endpoint_service.ListIndexEndpointsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.pagers.ListIndexEndpointsPager

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient

IndexServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.index_service.transports.base.IndexServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the index service async client.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.create_index

create_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_service.CreateIndexRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    index: typing.Optional[google.cloud.aiplatform_v1beta1.types.index.Index] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates an Index.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.create_index

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.delete_index

delete_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_service.DeleteIndexRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes an Index.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.delete_index

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.get_index

get_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_service.GetIndexRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.index.Index

Gets an Index.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.get_index

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.index_service.transports.base.IndexServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.index_endpoint_path

index_endpoint_path(project: str, location: str, index_endpoint: str) -> str

Returns a fully-qualified index_endpoint string.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.index_endpoint_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.index_path

index_path(project: str, location: str, index: str) -> str

Returns a fully-qualified index string.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.index_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.list_indexes

list_indexes(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_service.ListIndexesRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.index_service.pagers.ListIndexesAsyncPager
)

Lists Indexes in a Location.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.list_indexes

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.parse_index_endpoint_path

parse_index_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a index_endpoint path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.parse_index_endpoint_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.parse_index_path

parse_index_path(path: str) -> typing.Dict[str, str]

Parses a index path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.parse_index_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.remove_datapoints

remove_datapoints(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_service.RemoveDatapointsRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.index_service.RemoveDatapointsResponse

Remove Datapoints from an Index.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.remove_datapoints

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.update_index

update_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_service.UpdateIndexRequest, dict
        ]
    ] = None,
    *,
    index: typing.Optional[google.cloud.aiplatform_v1beta1.types.index.Index] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates an Index.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.update_index

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.upsert_datapoints

upsert_datapoints(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_service.UpsertDatapointsRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.index_service.UpsertDatapointsResponse

Add/update Datapoints into an Index.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.upsert_datapoints

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient

IndexServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.index_service.transports.base.IndexServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the index service client.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.exit

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.create_index

create_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_service.CreateIndexRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    index: typing.Optional[google.cloud.aiplatform_v1beta1.types.index.Index] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates an Index.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.create_index

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.delete_index

delete_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_service.DeleteIndexRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes an Index.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.delete_index

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.get_index

get_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_service.GetIndexRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.index.Index

Gets an Index.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.get_index

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.index_endpoint_path

index_endpoint_path(project: str, location: str, index_endpoint: str) -> str

Returns a fully-qualified index_endpoint string.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.index_endpoint_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.index_path

index_path(project: str, location: str, index: str) -> str

Returns a fully-qualified index string.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.index_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.list_indexes

list_indexes(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_service.ListIndexesRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.services.index_service.pagers.ListIndexesPager

Lists Indexes in a Location.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.list_indexes

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.parse_index_endpoint_path

parse_index_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a index_endpoint path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.parse_index_endpoint_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.parse_index_path

parse_index_path(path: str) -> typing.Dict[str, str]

Parses a index path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.parse_index_path

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.remove_datapoints

remove_datapoints(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_service.RemoveDatapointsRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.index_service.RemoveDatapointsResponse

Remove Datapoints from an Index.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.remove_datapoints

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.update_index

update_index(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_service.UpdateIndexRequest, dict
        ]
    ] = None,
    *,
    index: typing.Optional[google.cloud.aiplatform_v1beta1.types.index.Index] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates an Index.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.update_index

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.upsert_datapoints

upsert_datapoints(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.index_service.UpsertDatapointsRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.index_service.UpsertDatapointsResponse

Add/update Datapoints into an Index.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.upsert_datapoints

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.index_service.pagers.ListIndexesAsyncPager

ListIndexesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.index_service.ListIndexesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.index_service.ListIndexesRequest,
    response: google.cloud.aiplatform_v1beta1.types.index_service.ListIndexesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.index_service.pagers.ListIndexesAsyncPager

google.cloud.aiplatform_v1beta1.services.index_service.pagers.ListIndexesPager

ListIndexesPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1beta1.types.index_service.ListIndexesResponse
    ],
    request: google.cloud.aiplatform_v1beta1.types.index_service.ListIndexesRequest,
    response: google.cloud.aiplatform_v1beta1.types.index_service.ListIndexesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.index_service.pagers.ListIndexesPager

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient

JobServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.job_service.transports.base.JobServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the job service async client.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.batch_prediction_job_path

batch_prediction_job_path(
    project: str, location: str, batch_prediction_job: str
) -> str

Returns a fully-qualified batch_prediction_job string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.batch_prediction_job_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.cancel_batch_prediction_job

cancel_batch_prediction_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.CancelBatchPredictionJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a BatchPredictionJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.cancel_batch_prediction_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.cancel_custom_job

cancel_custom_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.CancelCustomJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a CustomJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.cancel_custom_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.cancel_data_labeling_job

cancel_data_labeling_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.CancelDataLabelingJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a DataLabelingJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.cancel_data_labeling_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.cancel_hyperparameter_tuning_job

cancel_hyperparameter_tuning_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.CancelHyperparameterTuningJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a HyperparameterTuningJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.cancel_hyperparameter_tuning_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.cancel_nas_job

cancel_nas_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.CancelNasJobRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a NasJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.cancel_nas_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.context_path

context_path(project: str, location: str, metadata_store: str, context: str) -> str

Returns a fully-qualified context string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.context_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.create_batch_prediction_job

create_batch_prediction_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.CreateBatchPredictionJobRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    batch_prediction_job: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.batch_prediction_job.BatchPredictionJob
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.batch_prediction_job.BatchPredictionJob

Creates a BatchPredictionJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.create_batch_prediction_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.create_custom_job

create_custom_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.CreateCustomJobRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    custom_job: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.custom_job.CustomJob
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.custom_job.CustomJob

Creates a CustomJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.create_custom_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.create_data_labeling_job

create_data_labeling_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.CreateDataLabelingJobRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    data_labeling_job: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.data_labeling_job.DataLabelingJob
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.data_labeling_job.DataLabelingJob

Creates a DataLabelingJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.create_data_labeling_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.create_hyperparameter_tuning_job

create_hyperparameter_tuning_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.CreateHyperparameterTuningJobRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    hyperparameter_tuning_job: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.hyperparameter_tuning_job.HyperparameterTuningJob
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.hyperparameter_tuning_job.HyperparameterTuningJob
)

Creates a HyperparameterTuningJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.create_hyperparameter_tuning_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.create_model_deployment_monitoring_job

create_model_deployment_monitoring_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.CreateModelDeploymentMonitoringJobRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    model_deployment_monitoring_job: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.model_deployment_monitoring_job.ModelDeploymentMonitoringJob
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.model_deployment_monitoring_job.ModelDeploymentMonitoringJob
)

Creates a ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.create_model_deployment_monitoring_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.create_nas_job

create_nas_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.CreateNasJobRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    nas_job: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.nas_job.NasJob
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.nas_job.NasJob

Creates a NasJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.create_nas_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.custom_job_path

custom_job_path(project: str, location: str, custom_job: str) -> str

Returns a fully-qualified custom_job string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.custom_job_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.data_labeling_job_path

data_labeling_job_path(project: str, location: str, data_labeling_job: str) -> str

Returns a fully-qualified data_labeling_job string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.data_labeling_job_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.dataset_path

dataset_path(project: str, location: str, dataset: str) -> str

Returns a fully-qualified dataset string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.dataset_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.delete_batch_prediction_job

delete_batch_prediction_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.DeleteBatchPredictionJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a BatchPredictionJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.delete_batch_prediction_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.delete_custom_job

delete_custom_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.DeleteCustomJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a CustomJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.delete_custom_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.delete_data_labeling_job

delete_data_labeling_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.DeleteDataLabelingJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a DataLabelingJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.delete_data_labeling_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.delete_hyperparameter_tuning_job

delete_hyperparameter_tuning_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.DeleteHyperparameterTuningJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a HyperparameterTuningJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.delete_hyperparameter_tuning_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.delete_model_deployment_monitoring_job

delete_model_deployment_monitoring_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.DeleteModelDeploymentMonitoringJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.delete_model_deployment_monitoring_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.delete_nas_job

delete_nas_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.DeleteNasJobRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a NasJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.delete_nas_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.endpoint_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.get_batch_prediction_job

get_batch_prediction_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.GetBatchPredictionJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.batch_prediction_job.BatchPredictionJob

Gets a BatchPredictionJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.get_batch_prediction_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.get_custom_job

get_custom_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.GetCustomJobRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.custom_job.CustomJob

Gets a CustomJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.get_custom_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.get_data_labeling_job

get_data_labeling_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.GetDataLabelingJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.data_labeling_job.DataLabelingJob

Gets a DataLabelingJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.get_data_labeling_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.get_hyperparameter_tuning_job

get_hyperparameter_tuning_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.GetHyperparameterTuningJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.hyperparameter_tuning_job.HyperparameterTuningJob
)

Gets a HyperparameterTuningJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.get_hyperparameter_tuning_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.get_model_deployment_monitoring_job

get_model_deployment_monitoring_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.GetModelDeploymentMonitoringJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.model_deployment_monitoring_job.ModelDeploymentMonitoringJob
)

Gets a ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.get_model_deployment_monitoring_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.get_nas_job

get_nas_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.GetNasJobRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.nas_job.NasJob

Gets a NasJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.get_nas_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.get_nas_trial_detail

get_nas_trial_detail(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.GetNasTrialDetailRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.nas_job.NasTrialDetail

Gets a NasTrialDetail.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.get_nas_trial_detail

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.job_service.transports.base.JobServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.hyperparameter_tuning_job_path

hyperparameter_tuning_job_path(
    project: str, location: str, hyperparameter_tuning_job: str
) -> str

Returns a fully-qualified hyperparameter_tuning_job string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.hyperparameter_tuning_job_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.list_batch_prediction_jobs

list_batch_prediction_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.ListBatchPredictionJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListBatchPredictionJobsAsyncPager
)

Lists BatchPredictionJobs in a Location.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.list_batch_prediction_jobs

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.list_custom_jobs

list_custom_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.ListCustomJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListCustomJobsAsyncPager
)

Lists CustomJobs in a Location.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.list_custom_jobs

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.list_data_labeling_jobs

list_data_labeling_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.ListDataLabelingJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListDataLabelingJobsAsyncPager
)

Lists DataLabelingJobs in a Location.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.list_data_labeling_jobs

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.list_hyperparameter_tuning_jobs

list_hyperparameter_tuning_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.ListHyperparameterTuningJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListHyperparameterTuningJobsAsyncPager
)

Lists HyperparameterTuningJobs in a Location.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.list_hyperparameter_tuning_jobs

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.list_model_deployment_monitoring_jobs

list_model_deployment_monitoring_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.ListModelDeploymentMonitoringJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListModelDeploymentMonitoringJobsAsyncPager
)

Lists ModelDeploymentMonitoringJobs in a Location.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.list_model_deployment_monitoring_jobs

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.list_nas_jobs

list_nas_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.ListNasJobsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListNasJobsAsyncPager

Lists NasJobs in a Location.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.list_nas_jobs

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.list_nas_trial_details

list_nas_trial_details(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.ListNasTrialDetailsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListNasTrialDetailsAsyncPager
)

List top NasTrialDetails of a NasJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.list_nas_trial_details

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.model_deployment_monitoring_job_path

model_deployment_monitoring_job_path(
    project: str, location: str, model_deployment_monitoring_job: str
) -> str

Returns a fully-qualified model_deployment_monitoring_job string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.model_deployment_monitoring_job_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.model_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.nas_job_path

nas_job_path(project: str, location: str, nas_job: str) -> str

Returns a fully-qualified nas_job string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.nas_job_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.nas_trial_detail_path

nas_trial_detail_path(
    project: str, location: str, nas_job: str, nas_trial_detail: str
) -> str

Returns a fully-qualified nas_trial_detail string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.nas_trial_detail_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.network_path

network_path(project: str, network: str) -> str

Returns a fully-qualified network string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.network_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.notification_channel_path

notification_channel_path(project: str, notification_channel: str) -> str

Returns a fully-qualified notification_channel string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.notification_channel_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_batch_prediction_job_path

parse_batch_prediction_job_path(path: str) -> typing.Dict[str, str]

Parses a batch_prediction_job path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_batch_prediction_job_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_context_path

parse_context_path(path: str) -> typing.Dict[str, str]

Parses a context path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_context_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_custom_job_path

parse_custom_job_path(path: str) -> typing.Dict[str, str]

Parses a custom_job path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_custom_job_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_data_labeling_job_path

parse_data_labeling_job_path(path: str) -> typing.Dict[str, str]

Parses a data_labeling_job path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_data_labeling_job_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_dataset_path

parse_dataset_path(path: str) -> typing.Dict[str, str]

Parses a dataset path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_dataset_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_endpoint_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_hyperparameter_tuning_job_path

parse_hyperparameter_tuning_job_path(path: str) -> typing.Dict[str, str]

Parses a hyperparameter_tuning_job path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_hyperparameter_tuning_job_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_model_deployment_monitoring_job_path

parse_model_deployment_monitoring_job_path(path: str) -> typing.Dict[str, str]

Parses a model_deployment_monitoring_job path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_model_deployment_monitoring_job_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_model_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_nas_job_path

parse_nas_job_path(path: str) -> typing.Dict[str, str]

Parses a nas_job path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_nas_job_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_nas_trial_detail_path

parse_nas_trial_detail_path(path: str) -> typing.Dict[str, str]

Parses a nas_trial_detail path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_nas_trial_detail_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_network_path

parse_network_path(path: str) -> typing.Dict[str, str]

Parses a network path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_network_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_notification_channel_path

parse_notification_channel_path(path: str) -> typing.Dict[str, str]

Parses a notification_channel path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_notification_channel_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_persistent_resource_path

parse_persistent_resource_path(path: str) -> typing.Dict[str, str]

Parses a persistent_resource path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_persistent_resource_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_tensorboard_path

parse_tensorboard_path(path: str) -> typing.Dict[str, str]

Parses a tensorboard path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_tensorboard_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_trial_path

parse_trial_path(path: str) -> typing.Dict[str, str]

Parses a trial path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.parse_trial_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.pause_model_deployment_monitoring_job

pause_model_deployment_monitoring_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.PauseModelDeploymentMonitoringJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Pauses a ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.pause_model_deployment_monitoring_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.persistent_resource_path

persistent_resource_path(
    project: str, location: str, persistent_resource: str
) -> str

Returns a fully-qualified persistent_resource string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.persistent_resource_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.resume_model_deployment_monitoring_job

resume_model_deployment_monitoring_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.ResumeModelDeploymentMonitoringJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Resumes a paused ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.resume_model_deployment_monitoring_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.search_model_deployment_monitoring_stats_anomalies

search_model_deployment_monitoring_stats_anomalies(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesRequest,
            dict,
        ]
    ] = None,
    *,
    model_deployment_monitoring_job: typing.Optional[str] = None,
    deployed_model_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.job_service.pagers.SearchModelDeploymentMonitoringStatsAnomaliesAsyncPager
)

Searches Model Monitoring Statistics generated within a given time window.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.search_model_deployment_monitoring_stats_anomalies

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.tensorboard_path

tensorboard_path(project: str, location: str, tensorboard: str) -> str

Returns a fully-qualified tensorboard string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.tensorboard_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.trial_path

trial_path(project: str, location: str, study: str, trial: str) -> str

Returns a fully-qualified trial string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.trial_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.update_model_deployment_monitoring_job

update_model_deployment_monitoring_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.UpdateModelDeploymentMonitoringJobRequest,
            dict,
        ]
    ] = None,
    *,
    model_deployment_monitoring_job: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.model_deployment_monitoring_job.ModelDeploymentMonitoringJob
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates a ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.update_model_deployment_monitoring_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient

JobServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.job_service.transports.base.JobServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the job service client.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.exit

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.batch_prediction_job_path

batch_prediction_job_path(
    project: str, location: str, batch_prediction_job: str
) -> str

Returns a fully-qualified batch_prediction_job string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.batch_prediction_job_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.cancel_batch_prediction_job

cancel_batch_prediction_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.CancelBatchPredictionJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a BatchPredictionJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.cancel_batch_prediction_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.cancel_custom_job

cancel_custom_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.CancelCustomJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a CustomJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.cancel_custom_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.cancel_data_labeling_job

cancel_data_labeling_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.CancelDataLabelingJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a DataLabelingJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.cancel_data_labeling_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.cancel_hyperparameter_tuning_job

cancel_hyperparameter_tuning_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.CancelHyperparameterTuningJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a HyperparameterTuningJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.cancel_hyperparameter_tuning_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.cancel_nas_job

cancel_nas_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.CancelNasJobRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a NasJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.cancel_nas_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.context_path

context_path(project: str, location: str, metadata_store: str, context: str) -> str

Returns a fully-qualified context string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.context_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.create_batch_prediction_job

create_batch_prediction_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.CreateBatchPredictionJobRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    batch_prediction_job: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.batch_prediction_job.BatchPredictionJob
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.batch_prediction_job.BatchPredictionJob

Creates a BatchPredictionJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.create_batch_prediction_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.create_custom_job

create_custom_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.CreateCustomJobRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    custom_job: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.custom_job.CustomJob
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.custom_job.CustomJob

Creates a CustomJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.create_custom_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.create_data_labeling_job

create_data_labeling_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.CreateDataLabelingJobRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    data_labeling_job: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.data_labeling_job.DataLabelingJob
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.data_labeling_job.DataLabelingJob

Creates a DataLabelingJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.create_data_labeling_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.create_hyperparameter_tuning_job

create_hyperparameter_tuning_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.CreateHyperparameterTuningJobRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    hyperparameter_tuning_job: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.hyperparameter_tuning_job.HyperparameterTuningJob
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.hyperparameter_tuning_job.HyperparameterTuningJob
)

Creates a HyperparameterTuningJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.create_hyperparameter_tuning_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.create_model_deployment_monitoring_job

create_model_deployment_monitoring_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.CreateModelDeploymentMonitoringJobRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    model_deployment_monitoring_job: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.model_deployment_monitoring_job.ModelDeploymentMonitoringJob
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.model_deployment_monitoring_job.ModelDeploymentMonitoringJob
)

Creates a ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.create_model_deployment_monitoring_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.create_nas_job

create_nas_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.CreateNasJobRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    nas_job: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.nas_job.NasJob
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.nas_job.NasJob

Creates a NasJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.create_nas_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.custom_job_path

custom_job_path(project: str, location: str, custom_job: str) -> str

Returns a fully-qualified custom_job string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.custom_job_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.data_labeling_job_path

data_labeling_job_path(project: str, location: str, data_labeling_job: str) -> str

Returns a fully-qualified data_labeling_job string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.data_labeling_job_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.dataset_path

dataset_path(project: str, location: str, dataset: str) -> str

Returns a fully-qualified dataset string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.dataset_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.delete_batch_prediction_job

delete_batch_prediction_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.DeleteBatchPredictionJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a BatchPredictionJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.delete_batch_prediction_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.delete_custom_job

delete_custom_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.DeleteCustomJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a CustomJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.delete_custom_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.delete_data_labeling_job

delete_data_labeling_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.DeleteDataLabelingJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a DataLabelingJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.delete_data_labeling_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.delete_hyperparameter_tuning_job

delete_hyperparameter_tuning_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.DeleteHyperparameterTuningJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a HyperparameterTuningJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.delete_hyperparameter_tuning_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.delete_model_deployment_monitoring_job

delete_model_deployment_monitoring_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.DeleteModelDeploymentMonitoringJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.delete_model_deployment_monitoring_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.delete_nas_job

delete_nas_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.DeleteNasJobRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a NasJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.delete_nas_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.endpoint_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.get_batch_prediction_job

get_batch_prediction_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.GetBatchPredictionJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.batch_prediction_job.BatchPredictionJob

Gets a BatchPredictionJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.get_batch_prediction_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.get_custom_job

get_custom_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.GetCustomJobRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.custom_job.CustomJob

Gets a CustomJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.get_custom_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.get_data_labeling_job

get_data_labeling_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.GetDataLabelingJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.data_labeling_job.DataLabelingJob

Gets a DataLabelingJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.get_data_labeling_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.get_hyperparameter_tuning_job

get_hyperparameter_tuning_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.GetHyperparameterTuningJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.hyperparameter_tuning_job.HyperparameterTuningJob
)

Gets a HyperparameterTuningJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.get_hyperparameter_tuning_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.get_model_deployment_monitoring_job

get_model_deployment_monitoring_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.GetModelDeploymentMonitoringJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.model_deployment_monitoring_job.ModelDeploymentMonitoringJob
)

Gets a ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.get_model_deployment_monitoring_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.get_nas_job

get_nas_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.GetNasJobRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.nas_job.NasJob

Gets a NasJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.get_nas_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.get_nas_trial_detail

get_nas_trial_detail(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.GetNasTrialDetailRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.nas_job.NasTrialDetail

Gets a NasTrialDetail.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.get_nas_trial_detail

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.hyperparameter_tuning_job_path

hyperparameter_tuning_job_path(
    project: str, location: str, hyperparameter_tuning_job: str
) -> str

Returns a fully-qualified hyperparameter_tuning_job string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.hyperparameter_tuning_job_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.list_batch_prediction_jobs

list_batch_prediction_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.ListBatchPredictionJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListBatchPredictionJobsPager
)

Lists BatchPredictionJobs in a Location.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.list_batch_prediction_jobs

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.list_custom_jobs

list_custom_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.ListCustomJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListCustomJobsPager

Lists CustomJobs in a Location.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.list_custom_jobs

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.list_data_labeling_jobs

list_data_labeling_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.ListDataLabelingJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListDataLabelingJobsPager
)

Lists DataLabelingJobs in a Location.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.list_data_labeling_jobs

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.list_hyperparameter_tuning_jobs

list_hyperparameter_tuning_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.ListHyperparameterTuningJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListHyperparameterTuningJobsPager
)

Lists HyperparameterTuningJobs in a Location.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.list_hyperparameter_tuning_jobs

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.list_model_deployment_monitoring_jobs

list_model_deployment_monitoring_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.ListModelDeploymentMonitoringJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListModelDeploymentMonitoringJobsPager
)

Lists ModelDeploymentMonitoringJobs in a Location.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.list_model_deployment_monitoring_jobs

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.list_nas_jobs

list_nas_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.ListNasJobsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListNasJobsPager

Lists NasJobs in a Location.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.list_nas_jobs

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.list_nas_trial_details

list_nas_trial_details(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.ListNasTrialDetailsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListNasTrialDetailsPager
)

List top NasTrialDetails of a NasJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.list_nas_trial_details

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.model_deployment_monitoring_job_path

model_deployment_monitoring_job_path(
    project: str, location: str, model_deployment_monitoring_job: str
) -> str

Returns a fully-qualified model_deployment_monitoring_job string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.model_deployment_monitoring_job_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.model_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.nas_job_path

nas_job_path(project: str, location: str, nas_job: str) -> str

Returns a fully-qualified nas_job string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.nas_job_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.nas_trial_detail_path

nas_trial_detail_path(
    project: str, location: str, nas_job: str, nas_trial_detail: str
) -> str

Returns a fully-qualified nas_trial_detail string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.nas_trial_detail_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.network_path

network_path(project: str, network: str) -> str

Returns a fully-qualified network string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.network_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.notification_channel_path

notification_channel_path(project: str, notification_channel: str) -> str

Returns a fully-qualified notification_channel string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.notification_channel_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_batch_prediction_job_path

parse_batch_prediction_job_path(path: str) -> typing.Dict[str, str]

Parses a batch_prediction_job path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_batch_prediction_job_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_context_path

parse_context_path(path: str) -> typing.Dict[str, str]

Parses a context path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_context_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_custom_job_path

parse_custom_job_path(path: str) -> typing.Dict[str, str]

Parses a custom_job path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_custom_job_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_data_labeling_job_path

parse_data_labeling_job_path(path: str) -> typing.Dict[str, str]

Parses a data_labeling_job path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_data_labeling_job_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_dataset_path

parse_dataset_path(path: str) -> typing.Dict[str, str]

Parses a dataset path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_dataset_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_endpoint_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_hyperparameter_tuning_job_path

parse_hyperparameter_tuning_job_path(path: str) -> typing.Dict[str, str]

Parses a hyperparameter_tuning_job path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_hyperparameter_tuning_job_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_model_deployment_monitoring_job_path

parse_model_deployment_monitoring_job_path(path: str) -> typing.Dict[str, str]

Parses a model_deployment_monitoring_job path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_model_deployment_monitoring_job_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_model_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_nas_job_path

parse_nas_job_path(path: str) -> typing.Dict[str, str]

Parses a nas_job path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_nas_job_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_nas_trial_detail_path

parse_nas_trial_detail_path(path: str) -> typing.Dict[str, str]

Parses a nas_trial_detail path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_nas_trial_detail_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_network_path

parse_network_path(path: str) -> typing.Dict[str, str]

Parses a network path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_network_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_notification_channel_path

parse_notification_channel_path(path: str) -> typing.Dict[str, str]

Parses a notification_channel path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_notification_channel_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_persistent_resource_path

parse_persistent_resource_path(path: str) -> typing.Dict[str, str]

Parses a persistent_resource path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_persistent_resource_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_tensorboard_path

parse_tensorboard_path(path: str) -> typing.Dict[str, str]

Parses a tensorboard path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_tensorboard_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_trial_path

parse_trial_path(path: str) -> typing.Dict[str, str]

Parses a trial path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.parse_trial_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.pause_model_deployment_monitoring_job

pause_model_deployment_monitoring_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.PauseModelDeploymentMonitoringJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Pauses a ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.pause_model_deployment_monitoring_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.persistent_resource_path

persistent_resource_path(
    project: str, location: str, persistent_resource: str
) -> str

Returns a fully-qualified persistent_resource string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.persistent_resource_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.resume_model_deployment_monitoring_job

resume_model_deployment_monitoring_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.ResumeModelDeploymentMonitoringJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Resumes a paused ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.resume_model_deployment_monitoring_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.search_model_deployment_monitoring_stats_anomalies

search_model_deployment_monitoring_stats_anomalies(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesRequest,
            dict,
        ]
    ] = None,
    *,
    model_deployment_monitoring_job: typing.Optional[str] = None,
    deployed_model_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.job_service.pagers.SearchModelDeploymentMonitoringStatsAnomaliesPager
)

Searches Model Monitoring Statistics generated within a given time window.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.search_model_deployment_monitoring_stats_anomalies

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.tensorboard_path

tensorboard_path(project: str, location: str, tensorboard: str) -> str

Returns a fully-qualified tensorboard string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.tensorboard_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.trial_path

trial_path(project: str, location: str, study: str, trial: str) -> str

Returns a fully-qualified trial string.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.trial_path

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.update_model_deployment_monitoring_job

update_model_deployment_monitoring_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.job_service.UpdateModelDeploymentMonitoringJobRequest,
            dict,
        ]
    ] = None,
    *,
    model_deployment_monitoring_job: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.model_deployment_monitoring_job.ModelDeploymentMonitoringJob
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates a ModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.update_model_deployment_monitoring_job

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListBatchPredictionJobsAsyncPager

ListBatchPredictionJobsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.job_service.ListBatchPredictionJobsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListBatchPredictionJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListBatchPredictionJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListBatchPredictionJobsAsyncPager

google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListBatchPredictionJobsPager

ListBatchPredictionJobsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.job_service.ListBatchPredictionJobsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListBatchPredictionJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListBatchPredictionJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListBatchPredictionJobsPager

google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListCustomJobsAsyncPager

ListCustomJobsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.job_service.ListCustomJobsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListCustomJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListCustomJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListCustomJobsAsyncPager

google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListCustomJobsPager

ListCustomJobsPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1beta1.types.job_service.ListCustomJobsResponse
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListCustomJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListCustomJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListCustomJobsPager

google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListDataLabelingJobsAsyncPager

ListDataLabelingJobsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.job_service.ListDataLabelingJobsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListDataLabelingJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListDataLabelingJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListDataLabelingJobsAsyncPager

google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListDataLabelingJobsPager

ListDataLabelingJobsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.job_service.ListDataLabelingJobsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListDataLabelingJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListDataLabelingJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListDataLabelingJobsPager

google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListHyperparameterTuningJobsAsyncPager

ListHyperparameterTuningJobsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.job_service.ListHyperparameterTuningJobsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListHyperparameterTuningJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListHyperparameterTuningJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListHyperparameterTuningJobsAsyncPager

google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListHyperparameterTuningJobsPager

ListHyperparameterTuningJobsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.job_service.ListHyperparameterTuningJobsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListHyperparameterTuningJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListHyperparameterTuningJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListHyperparameterTuningJobsPager

google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListModelDeploymentMonitoringJobsAsyncPager

ListModelDeploymentMonitoringJobsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.job_service.ListModelDeploymentMonitoringJobsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListModelDeploymentMonitoringJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListModelDeploymentMonitoringJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListModelDeploymentMonitoringJobsAsyncPager

google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListModelDeploymentMonitoringJobsPager

ListModelDeploymentMonitoringJobsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.job_service.ListModelDeploymentMonitoringJobsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListModelDeploymentMonitoringJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListModelDeploymentMonitoringJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListModelDeploymentMonitoringJobsPager

google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListNasJobsAsyncPager

ListNasJobsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.job_service.ListNasJobsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListNasJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListNasJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListNasJobsAsyncPager

google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListNasJobsPager

ListNasJobsPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1beta1.types.job_service.ListNasJobsResponse
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListNasJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListNasJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListNasJobsPager

google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListNasTrialDetailsAsyncPager

ListNasTrialDetailsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.job_service.ListNasTrialDetailsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListNasTrialDetailsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListNasTrialDetailsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListNasTrialDetailsAsyncPager

google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListNasTrialDetailsPager

ListNasTrialDetailsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.job_service.ListNasTrialDetailsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListNasTrialDetailsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListNasTrialDetailsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.job_service.pagers.ListNasTrialDetailsPager

google.cloud.aiplatform_v1beta1.services.job_service.pagers.SearchModelDeploymentMonitoringStatsAnomaliesAsyncPager

SearchModelDeploymentMonitoringStatsAnomaliesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.job_service.pagers.SearchModelDeploymentMonitoringStatsAnomaliesAsyncPager

google.cloud.aiplatform_v1beta1.services.job_service.pagers.SearchModelDeploymentMonitoringStatsAnomaliesPager

SearchModelDeploymentMonitoringStatsAnomaliesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.job_service.pagers.SearchModelDeploymentMonitoringStatsAnomaliesPager

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient

LlmUtilityServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.llm_utility_service.transports.base.LlmUtilityServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the llm utility service async client.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.compute_tokens

compute_tokens(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.llm_utility_service.ComputeTokensRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    instances: typing.Optional[
        typing.MutableSequence[google.protobuf.struct_pb2.Value]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.llm_utility_service.ComputeTokensResponse

Return a list of tokens based on the input text.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.compute_tokens

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.endpoint_path

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.llm_utility_service.transports.base.LlmUtilityServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.parse_endpoint_path

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient

LlmUtilityServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.llm_utility_service.transports.base.LlmUtilityServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the llm utility service client.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.exit

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.compute_tokens

compute_tokens(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.llm_utility_service.ComputeTokensRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    instances: typing.Optional[
        typing.MutableSequence[google.protobuf.struct_pb2.Value]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.llm_utility_service.ComputeTokensResponse

Return a list of tokens based on the input text.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.compute_tokens

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.endpoint_path

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.parse_endpoint_path

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient

MatchServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.match_service.transports.base.MatchServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the match service async client.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.find_neighbors

find_neighbors(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.match_service.FindNeighborsRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.match_service.FindNeighborsResponse

Finds the nearest neighbors of each vector within the request.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.find_neighbors

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.match_service.transports.base.MatchServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.index_endpoint_path

index_endpoint_path(project: str, location: str, index_endpoint: str) -> str

Returns a fully-qualified index_endpoint string.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.index_endpoint_path

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.parse_index_endpoint_path

parse_index_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a index_endpoint path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.parse_index_endpoint_path

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.read_index_datapoints

read_index_datapoints(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.match_service.ReadIndexDatapointsRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.match_service.ReadIndexDatapointsResponse

Reads the datapoints/vectors of the given IDs.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.read_index_datapoints

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient

MatchServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.match_service.transports.base.MatchServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the match service client.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.exit

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.find_neighbors

find_neighbors(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.match_service.FindNeighborsRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.match_service.FindNeighborsResponse

Finds the nearest neighbors of each vector within the request.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.find_neighbors

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.index_endpoint_path

index_endpoint_path(project: str, location: str, index_endpoint: str) -> str

Returns a fully-qualified index_endpoint string.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.index_endpoint_path

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.parse_index_endpoint_path

parse_index_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a index_endpoint path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.parse_index_endpoint_path

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.read_index_datapoints

read_index_datapoints(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.match_service.ReadIndexDatapointsRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.match_service.ReadIndexDatapointsResponse

Reads the datapoints/vectors of the given IDs.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.read_index_datapoints

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient

MetadataServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.metadata_service.transports.base.MetadataServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the metadata service async client.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.add_context_artifacts_and_executions

add_context_artifacts_and_executions(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.AddContextArtifactsAndExecutionsRequest,
            dict,
        ]
    ] = None,
    *,
    context: typing.Optional[str] = None,
    artifacts: typing.Optional[typing.MutableSequence[str]] = None,
    executions: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.metadata_service.AddContextArtifactsAndExecutionsResponse
)

Adds a set of Artifacts and Executions to a Context.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.add_context_artifacts_and_executions

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.add_context_children

add_context_children(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.AddContextChildrenRequest,
            dict,
        ]
    ] = None,
    *,
    context: typing.Optional[str] = None,
    child_contexts: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.metadata_service.AddContextChildrenResponse

Adds a set of Contexts as children to a parent Context.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.add_context_children

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.add_execution_events

add_execution_events(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.AddExecutionEventsRequest,
            dict,
        ]
    ] = None,
    *,
    execution: typing.Optional[str] = None,
    events: typing.Optional[
        typing.MutableSequence[google.cloud.aiplatform_v1beta1.types.event.Event]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.metadata_service.AddExecutionEventsResponse

Adds Events to the specified Execution.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.add_execution_events

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.artifact_path

artifact_path(
    project: str, location: str, metadata_store: str, artifact: str
) -> str

Returns a fully-qualified artifact string.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.artifact_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.context_path

context_path(project: str, location: str, metadata_store: str, context: str) -> str

Returns a fully-qualified context string.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.context_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.create_artifact

create_artifact(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.CreateArtifactRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    artifact: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.artifact.Artifact
    ] = None,
    artifact_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.artifact.Artifact

Creates an Artifact associated with a MetadataStore.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.create_artifact

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.create_context

create_context(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.CreateContextRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    context: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.context.Context
    ] = None,
    context_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.context.Context

Creates a Context associated with a MetadataStore.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.create_context

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.create_execution

create_execution(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.CreateExecutionRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    execution: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.execution.Execution
    ] = None,
    execution_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.execution.Execution

Creates an Execution associated with a MetadataStore.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.create_execution

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.create_metadata_schema

create_metadata_schema(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.CreateMetadataSchemaRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    metadata_schema: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.metadata_schema.MetadataSchema
    ] = None,
    metadata_schema_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.metadata_schema.MetadataSchema

Creates a MetadataSchema.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.create_metadata_schema

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.create_metadata_store

create_metadata_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.CreateMetadataStoreRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    metadata_store: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.metadata_store.MetadataStore
    ] = None,
    metadata_store_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Initializes a MetadataStore, including allocation of resources.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.create_metadata_store

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.delete_artifact

delete_artifact(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.DeleteArtifactRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes an Artifact.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.delete_artifact

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.delete_context

delete_context(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.DeleteContextRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a stored Context.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.delete_context

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.delete_execution

delete_execution(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.DeleteExecutionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes an Execution.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.delete_execution

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.delete_metadata_store

delete_metadata_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.DeleteMetadataStoreRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single MetadataStore and all its child resources (Artifacts, Executions, and Contexts).

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.delete_metadata_store

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.execution_path

execution_path(
    project: str, location: str, metadata_store: str, execution: str
) -> str

Returns a fully-qualified execution string.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.execution_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.get_artifact

get_artifact(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.GetArtifactRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.artifact.Artifact

Retrieves a specific Artifact.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.get_artifact

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.get_context

get_context(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.GetContextRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.context.Context

Retrieves a specific Context.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.get_context

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.get_execution

get_execution(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.GetExecutionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.execution.Execution

Retrieves a specific Execution.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.get_execution

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.get_metadata_schema

get_metadata_schema(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.GetMetadataSchemaRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.metadata_schema.MetadataSchema

Retrieves a specific MetadataSchema.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.get_metadata_schema

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.get_metadata_store

get_metadata_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.GetMetadataStoreRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.metadata_store.MetadataStore

Retrieves a specific MetadataStore.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.get_metadata_store

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.metadata_service.transports.base.MetadataServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.list_artifacts

list_artifacts(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.ListArtifactsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListArtifactsAsyncPager
)

Lists Artifacts in the MetadataStore.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.list_artifacts

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.list_contexts

list_contexts(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.ListContextsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListContextsAsyncPager
)

Lists Contexts on the MetadataStore.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.list_contexts

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.list_executions

list_executions(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.ListExecutionsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListExecutionsAsyncPager
)

Lists Executions in the MetadataStore.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.list_executions

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.list_metadata_schemas

list_metadata_schemas(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.ListMetadataSchemasRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListMetadataSchemasAsyncPager
)

Lists MetadataSchemas.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.list_metadata_schemas

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.list_metadata_stores

list_metadata_stores(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.ListMetadataStoresRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListMetadataStoresAsyncPager
)

Lists MetadataStores for a Location.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.list_metadata_stores

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.metadata_schema_path

metadata_schema_path(
    project: str, location: str, metadata_store: str, metadata_schema: str
) -> str

Returns a fully-qualified metadata_schema string.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.metadata_schema_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.metadata_store_path

metadata_store_path(project: str, location: str, metadata_store: str) -> str

Returns a fully-qualified metadata_store string.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.metadata_store_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.parse_artifact_path

parse_artifact_path(path: str) -> typing.Dict[str, str]

Parses a artifact path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.parse_artifact_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.parse_context_path

parse_context_path(path: str) -> typing.Dict[str, str]

Parses a context path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.parse_context_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.parse_execution_path

parse_execution_path(path: str) -> typing.Dict[str, str]

Parses a execution path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.parse_execution_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.parse_metadata_schema_path

parse_metadata_schema_path(path: str) -> typing.Dict[str, str]

Parses a metadata_schema path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.parse_metadata_schema_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.parse_metadata_store_path

parse_metadata_store_path(path: str) -> typing.Dict[str, str]

Parses a metadata_store path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.parse_metadata_store_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.purge_artifacts

purge_artifacts(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.PurgeArtifactsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Purges Artifacts.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.purge_artifacts

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.purge_contexts

purge_contexts(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.PurgeContextsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Purges Contexts.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.purge_contexts

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.purge_executions

purge_executions(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.PurgeExecutionsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Purges Executions.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.purge_executions

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.query_artifact_lineage_subgraph

query_artifact_lineage_subgraph(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.QueryArtifactLineageSubgraphRequest,
            dict,
        ]
    ] = None,
    *,
    artifact: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.lineage_subgraph.LineageSubgraph

Retrieves lineage of an Artifact represented through Artifacts and Executions connected by Event edges and returned as a LineageSubgraph.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.query_artifact_lineage_subgraph

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.query_context_lineage_subgraph

query_context_lineage_subgraph(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.QueryContextLineageSubgraphRequest,
            dict,
        ]
    ] = None,
    *,
    context: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.lineage_subgraph.LineageSubgraph

Retrieves Artifacts and Executions within the specified Context, connected by Event edges and returned as a LineageSubgraph.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.query_context_lineage_subgraph

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.query_execution_inputs_and_outputs

query_execution_inputs_and_outputs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.QueryExecutionInputsAndOutputsRequest,
            dict,
        ]
    ] = None,
    *,
    execution: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.lineage_subgraph.LineageSubgraph

Obtains the set of input and output Artifacts for this Execution, in the form of LineageSubgraph that also contains the Execution and connecting Events.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.query_execution_inputs_and_outputs

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.remove_context_children

remove_context_children(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.RemoveContextChildrenRequest,
            dict,
        ]
    ] = None,
    *,
    context: typing.Optional[str] = None,
    child_contexts: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.metadata_service.RemoveContextChildrenResponse
)

Remove a set of children contexts from a parent Context.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.remove_context_children

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.update_artifact

update_artifact(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.UpdateArtifactRequest,
            dict,
        ]
    ] = None,
    *,
    artifact: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.artifact.Artifact
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.artifact.Artifact

Updates a stored Artifact.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.update_artifact

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.update_context

update_context(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.UpdateContextRequest,
            dict,
        ]
    ] = None,
    *,
    context: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.context.Context
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.context.Context

Updates a stored Context.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.update_context

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.update_execution

update_execution(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.UpdateExecutionRequest,
            dict,
        ]
    ] = None,
    *,
    execution: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.execution.Execution
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.execution.Execution

Updates a stored Execution.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.update_execution

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient

MetadataServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.metadata_service.transports.base.MetadataServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the metadata service client.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.exit

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.add_context_artifacts_and_executions

add_context_artifacts_and_executions(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.AddContextArtifactsAndExecutionsRequest,
            dict,
        ]
    ] = None,
    *,
    context: typing.Optional[str] = None,
    artifacts: typing.Optional[typing.MutableSequence[str]] = None,
    executions: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.metadata_service.AddContextArtifactsAndExecutionsResponse
)

Adds a set of Artifacts and Executions to a Context.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.add_context_artifacts_and_executions

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.add_context_children

add_context_children(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.AddContextChildrenRequest,
            dict,
        ]
    ] = None,
    *,
    context: typing.Optional[str] = None,
    child_contexts: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.metadata_service.AddContextChildrenResponse

Adds a set of Contexts as children to a parent Context.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.add_context_children

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.add_execution_events

add_execution_events(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.AddExecutionEventsRequest,
            dict,
        ]
    ] = None,
    *,
    execution: typing.Optional[str] = None,
    events: typing.Optional[
        typing.MutableSequence[google.cloud.aiplatform_v1beta1.types.event.Event]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.metadata_service.AddExecutionEventsResponse

Adds Events to the specified Execution.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.add_execution_events

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.artifact_path

artifact_path(
    project: str, location: str, metadata_store: str, artifact: str
) -> str

Returns a fully-qualified artifact string.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.artifact_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.context_path

context_path(project: str, location: str, metadata_store: str, context: str) -> str

Returns a fully-qualified context string.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.context_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.create_artifact

create_artifact(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.CreateArtifactRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    artifact: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.artifact.Artifact
    ] = None,
    artifact_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.artifact.Artifact

Creates an Artifact associated with a MetadataStore.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.create_artifact

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.create_context

create_context(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.CreateContextRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    context: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.context.Context
    ] = None,
    context_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.context.Context

Creates a Context associated with a MetadataStore.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.create_context

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.create_execution

create_execution(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.CreateExecutionRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    execution: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.execution.Execution
    ] = None,
    execution_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.execution.Execution

Creates an Execution associated with a MetadataStore.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.create_execution

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.create_metadata_schema

create_metadata_schema(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.CreateMetadataSchemaRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    metadata_schema: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.metadata_schema.MetadataSchema
    ] = None,
    metadata_schema_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.metadata_schema.MetadataSchema

Creates a MetadataSchema.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.create_metadata_schema

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.create_metadata_store

create_metadata_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.CreateMetadataStoreRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    metadata_store: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.metadata_store.MetadataStore
    ] = None,
    metadata_store_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Initializes a MetadataStore, including allocation of resources.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.create_metadata_store

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.delete_artifact

delete_artifact(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.DeleteArtifactRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes an Artifact.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.delete_artifact

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.delete_context

delete_context(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.DeleteContextRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a stored Context.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.delete_context

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.delete_execution

delete_execution(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.DeleteExecutionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes an Execution.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.delete_execution

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.delete_metadata_store

delete_metadata_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.DeleteMetadataStoreRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a single MetadataStore and all its child resources (Artifacts, Executions, and Contexts).

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.delete_metadata_store

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.execution_path

execution_path(
    project: str, location: str, metadata_store: str, execution: str
) -> str

Returns a fully-qualified execution string.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.execution_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.get_artifact

get_artifact(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.GetArtifactRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.artifact.Artifact

Retrieves a specific Artifact.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.get_artifact

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.get_context

get_context(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.GetContextRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.context.Context

Retrieves a specific Context.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.get_context

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.get_execution

get_execution(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.GetExecutionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.execution.Execution

Retrieves a specific Execution.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.get_execution

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.get_metadata_schema

get_metadata_schema(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.GetMetadataSchemaRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.metadata_schema.MetadataSchema

Retrieves a specific MetadataSchema.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.get_metadata_schema

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.get_metadata_store

get_metadata_store(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.GetMetadataStoreRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.metadata_store.MetadataStore

Retrieves a specific MetadataStore.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.get_metadata_store

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.list_artifacts

list_artifacts(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.ListArtifactsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListArtifactsPager
)

Lists Artifacts in the MetadataStore.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.list_artifacts

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.list_contexts

list_contexts(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.ListContextsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListContextsPager

Lists Contexts on the MetadataStore.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.list_contexts

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.list_executions

list_executions(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.ListExecutionsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListExecutionsPager
)

Lists Executions in the MetadataStore.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.list_executions

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.list_metadata_schemas

list_metadata_schemas(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.ListMetadataSchemasRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListMetadataSchemasPager
)

Lists MetadataSchemas.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.list_metadata_schemas

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.list_metadata_stores

list_metadata_stores(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.ListMetadataStoresRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListMetadataStoresPager
)

Lists MetadataStores for a Location.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.list_metadata_stores

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.metadata_schema_path

metadata_schema_path(
    project: str, location: str, metadata_store: str, metadata_schema: str
) -> str

Returns a fully-qualified metadata_schema string.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.metadata_schema_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.metadata_store_path

metadata_store_path(project: str, location: str, metadata_store: str) -> str

Returns a fully-qualified metadata_store string.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.metadata_store_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.parse_artifact_path

parse_artifact_path(path: str) -> typing.Dict[str, str]

Parses a artifact path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.parse_artifact_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.parse_context_path

parse_context_path(path: str) -> typing.Dict[str, str]

Parses a context path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.parse_context_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.parse_execution_path

parse_execution_path(path: str) -> typing.Dict[str, str]

Parses a execution path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.parse_execution_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.parse_metadata_schema_path

parse_metadata_schema_path(path: str) -> typing.Dict[str, str]

Parses a metadata_schema path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.parse_metadata_schema_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.parse_metadata_store_path

parse_metadata_store_path(path: str) -> typing.Dict[str, str]

Parses a metadata_store path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.parse_metadata_store_path

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.purge_artifacts

purge_artifacts(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.PurgeArtifactsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Purges Artifacts.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.purge_artifacts

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.purge_contexts

purge_contexts(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.PurgeContextsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Purges Contexts.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.purge_contexts

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.purge_executions

purge_executions(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.PurgeExecutionsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Purges Executions.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.purge_executions

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.query_artifact_lineage_subgraph

query_artifact_lineage_subgraph(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.QueryArtifactLineageSubgraphRequest,
            dict,
        ]
    ] = None,
    *,
    artifact: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.lineage_subgraph.LineageSubgraph

Retrieves lineage of an Artifact represented through Artifacts and Executions connected by Event edges and returned as a LineageSubgraph.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.query_artifact_lineage_subgraph

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.query_context_lineage_subgraph

query_context_lineage_subgraph(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.QueryContextLineageSubgraphRequest,
            dict,
        ]
    ] = None,
    *,
    context: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.lineage_subgraph.LineageSubgraph

Retrieves Artifacts and Executions within the specified Context, connected by Event edges and returned as a LineageSubgraph.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.query_context_lineage_subgraph

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.query_execution_inputs_and_outputs

query_execution_inputs_and_outputs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.QueryExecutionInputsAndOutputsRequest,
            dict,
        ]
    ] = None,
    *,
    execution: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.lineage_subgraph.LineageSubgraph

Obtains the set of input and output Artifacts for this Execution, in the form of LineageSubgraph that also contains the Execution and connecting Events.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.query_execution_inputs_and_outputs

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.remove_context_children

remove_context_children(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.RemoveContextChildrenRequest,
            dict,
        ]
    ] = None,
    *,
    context: typing.Optional[str] = None,
    child_contexts: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.metadata_service.RemoveContextChildrenResponse
)

Remove a set of children contexts from a parent Context.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.remove_context_children

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.update_artifact

update_artifact(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.UpdateArtifactRequest,
            dict,
        ]
    ] = None,
    *,
    artifact: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.artifact.Artifact
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.artifact.Artifact

Updates a stored Artifact.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.update_artifact

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.update_context

update_context(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.UpdateContextRequest,
            dict,
        ]
    ] = None,
    *,
    context: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.context.Context
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.context.Context

Updates a stored Context.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.update_context

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.update_execution

update_execution(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.metadata_service.UpdateExecutionRequest,
            dict,
        ]
    ] = None,
    *,
    execution: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.execution.Execution
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.execution.Execution

Updates a stored Execution.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.update_execution

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListArtifactsAsyncPager

ListArtifactsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.metadata_service.ListArtifactsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.metadata_service.ListArtifactsRequest,
    response: google.cloud.aiplatform_v1beta1.types.metadata_service.ListArtifactsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListArtifactsAsyncPager

google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListArtifactsPager

ListArtifactsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.metadata_service.ListArtifactsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.metadata_service.ListArtifactsRequest,
    response: google.cloud.aiplatform_v1beta1.types.metadata_service.ListArtifactsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListArtifactsPager

google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListContextsAsyncPager

ListContextsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.metadata_service.ListContextsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.metadata_service.ListContextsRequest,
    response: google.cloud.aiplatform_v1beta1.types.metadata_service.ListContextsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListContextsAsyncPager

google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListContextsPager

ListContextsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.metadata_service.ListContextsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.metadata_service.ListContextsRequest,
    response: google.cloud.aiplatform_v1beta1.types.metadata_service.ListContextsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListContextsPager

google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListExecutionsAsyncPager

ListExecutionsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.metadata_service.ListExecutionsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.metadata_service.ListExecutionsRequest,
    response: google.cloud.aiplatform_v1beta1.types.metadata_service.ListExecutionsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListExecutionsAsyncPager

google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListExecutionsPager

ListExecutionsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.metadata_service.ListExecutionsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.metadata_service.ListExecutionsRequest,
    response: google.cloud.aiplatform_v1beta1.types.metadata_service.ListExecutionsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListExecutionsPager

google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListMetadataSchemasAsyncPager

ListMetadataSchemasAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.metadata_service.ListMetadataSchemasResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.metadata_service.ListMetadataSchemasRequest,
    response: google.cloud.aiplatform_v1beta1.types.metadata_service.ListMetadataSchemasResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListMetadataSchemasAsyncPager

google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListMetadataSchemasPager

ListMetadataSchemasPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.metadata_service.ListMetadataSchemasResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.metadata_service.ListMetadataSchemasRequest,
    response: google.cloud.aiplatform_v1beta1.types.metadata_service.ListMetadataSchemasResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListMetadataSchemasPager

google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListMetadataStoresAsyncPager

ListMetadataStoresAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.metadata_service.ListMetadataStoresResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.metadata_service.ListMetadataStoresRequest,
    response: google.cloud.aiplatform_v1beta1.types.metadata_service.ListMetadataStoresResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListMetadataStoresAsyncPager

google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListMetadataStoresPager

ListMetadataStoresPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.metadata_service.ListMetadataStoresResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.metadata_service.ListMetadataStoresRequest,
    response: google.cloud.aiplatform_v1beta1.types.metadata_service.ListMetadataStoresResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.pagers.ListMetadataStoresPager

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient

MigrationServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.migration_service.transports.base.MigrationServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the migration service async client.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.annotated_dataset_path

annotated_dataset_path(project: str, dataset: str, annotated_dataset: str) -> str

Returns a fully-qualified annotated_dataset string.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.annotated_dataset_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.batch_migrate_resources

batch_migrate_resources(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.migration_service.BatchMigrateResourcesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    migrate_resource_requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1beta1.types.migration_service.MigrateResourceRequest
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Batch migrates resources from ml.googleapis.com, automl.googleapis.com, and datalabeling.googleapis.com to Vertex AI.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.batch_migrate_resources

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.dataset_path

dataset_path(project: str, location: str, dataset: str) -> str

Returns a fully-qualified dataset string.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.dataset_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.migration_service.transports.base.MigrationServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.model_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.parse_annotated_dataset_path

parse_annotated_dataset_path(path: str) -> typing.Dict[str, str]

Parses a annotated_dataset path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.parse_annotated_dataset_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.parse_dataset_path

parse_dataset_path(path: str) -> typing.Dict[str, str]

Parses a dataset path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.parse_dataset_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.parse_model_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.parse_version_path

parse_version_path(path: str) -> typing.Dict[str, str]

Parses a version path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.parse_version_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.search_migratable_resources

search_migratable_resources(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.migration_service.SearchMigratableResourcesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.migration_service.pagers.SearchMigratableResourcesAsyncPager
)

Searches all of the resources in automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com that can be migrated to Vertex AI's given location.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.search_migratable_resources

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.version_path

version_path(project: str, model: str, version: str) -> str

Returns a fully-qualified version string.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.version_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient

MigrationServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.migration_service.transports.base.MigrationServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the migration service client.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.exit

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.annotated_dataset_path

annotated_dataset_path(project: str, dataset: str, annotated_dataset: str) -> str

Returns a fully-qualified annotated_dataset string.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.annotated_dataset_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.batch_migrate_resources

batch_migrate_resources(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.migration_service.BatchMigrateResourcesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    migrate_resource_requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1beta1.types.migration_service.MigrateResourceRequest
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Batch migrates resources from ml.googleapis.com, automl.googleapis.com, and datalabeling.googleapis.com to Vertex AI.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.batch_migrate_resources

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.dataset_path

dataset_path(project: str, location: str, dataset: str) -> str

Returns a fully-qualified dataset string.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.dataset_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.model_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.parse_annotated_dataset_path

parse_annotated_dataset_path(path: str) -> typing.Dict[str, str]

Parses a annotated_dataset path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.parse_annotated_dataset_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.parse_dataset_path

parse_dataset_path(path: str) -> typing.Dict[str, str]

Parses a dataset path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.parse_dataset_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.parse_model_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.parse_version_path

parse_version_path(path: str) -> typing.Dict[str, str]

Parses a version path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.parse_version_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.search_migratable_resources

search_migratable_resources(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.migration_service.SearchMigratableResourcesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.migration_service.pagers.SearchMigratableResourcesPager
)

Searches all of the resources in automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com that can be migrated to Vertex AI's given location.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.search_migratable_resources

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.version_path

version_path(project: str, model: str, version: str) -> str

Returns a fully-qualified version string.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.version_path

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.migration_service.pagers.SearchMigratableResourcesAsyncPager

SearchMigratableResourcesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.migration_service.SearchMigratableResourcesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.migration_service.SearchMigratableResourcesRequest,
    response: google.cloud.aiplatform_v1beta1.types.migration_service.SearchMigratableResourcesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.pagers.SearchMigratableResourcesAsyncPager

google.cloud.aiplatform_v1beta1.services.migration_service.pagers.SearchMigratableResourcesPager

SearchMigratableResourcesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.migration_service.SearchMigratableResourcesResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.migration_service.SearchMigratableResourcesRequest,
    response: google.cloud.aiplatform_v1beta1.types.migration_service.SearchMigratableResourcesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.pagers.SearchMigratableResourcesPager

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient

ModelGardenServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.model_garden_service.transports.base.ModelGardenServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the model garden service async client.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.get_publisher_model

get_publisher_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_garden_service.GetPublisherModelRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.publisher_model.PublisherModel

Gets a Model Garden publisher model.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.get_publisher_model

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.model_garden_service.transports.base.ModelGardenServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.list_publisher_models

list_publisher_models(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_garden_service.ListPublisherModelsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.model_garden_service.pagers.ListPublisherModelsAsyncPager
)

Lists publisher models in Model Garden.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.list_publisher_models

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.parse_publisher_model_path

parse_publisher_model_path(path: str) -> typing.Dict[str, str]

Parses a publisher_model path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.parse_publisher_model_path

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.publisher_model_path

publisher_model_path(publisher: str, model: str) -> str

Returns a fully-qualified publisher_model string.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.publisher_model_path

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient

ModelGardenServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.model_garden_service.transports.base.ModelGardenServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the model garden service client.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.exit

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.get_publisher_model

get_publisher_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_garden_service.GetPublisherModelRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.publisher_model.PublisherModel

Gets a Model Garden publisher model.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.get_publisher_model

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.list_publisher_models

list_publisher_models(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_garden_service.ListPublisherModelsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.model_garden_service.pagers.ListPublisherModelsPager
)

Lists publisher models in Model Garden.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.list_publisher_models

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.parse_publisher_model_path

parse_publisher_model_path(path: str) -> typing.Dict[str, str]

Parses a publisher_model path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.parse_publisher_model_path

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.publisher_model_path

publisher_model_path(publisher: str, model: str) -> str

Returns a fully-qualified publisher_model string.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.publisher_model_path

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.model_garden_service.pagers.ListPublisherModelsAsyncPager

ListPublisherModelsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.model_garden_service.ListPublisherModelsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.model_garden_service.ListPublisherModelsRequest,
    response: google.cloud.aiplatform_v1beta1.types.model_garden_service.ListPublisherModelsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.pagers.ListPublisherModelsAsyncPager

google.cloud.aiplatform_v1beta1.services.model_garden_service.pagers.ListPublisherModelsPager

ListPublisherModelsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.model_garden_service.ListPublisherModelsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.model_garden_service.ListPublisherModelsRequest,
    response: google.cloud.aiplatform_v1beta1.types.model_garden_service.ListPublisherModelsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.pagers.ListPublisherModelsPager

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient

ModelServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.model_service.transports.base.ModelServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the model service async client.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.batch_import_evaluated_annotations

batch_import_evaluated_annotations(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.BatchImportEvaluatedAnnotationsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    evaluated_annotations: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1beta1.types.evaluated_annotation.EvaluatedAnnotation
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.model_service.BatchImportEvaluatedAnnotationsResponse
)

Imports a list of externally generated EvaluatedAnnotations.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.batch_import_evaluated_annotations

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.batch_import_model_evaluation_slices

batch_import_model_evaluation_slices(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.BatchImportModelEvaluationSlicesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    model_evaluation_slices: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1beta1.types.model_evaluation_slice.ModelEvaluationSlice
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.model_service.BatchImportModelEvaluationSlicesResponse
)

Imports a list of externally generated ModelEvaluationSlice.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.batch_import_model_evaluation_slices

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.copy_model

copy_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.CopyModelRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    source_model: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Copies an already existing Vertex AI Model into the specified Location.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.copy_model

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.delete_model

delete_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.DeleteModelRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a Model.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.delete_model

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.delete_model_version

delete_model_version(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.DeleteModelVersionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a Model version.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.delete_model_version

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.endpoint_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.export_model

export_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.ExportModelRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    output_config: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.model_service.ExportModelRequest.OutputConfig
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Exports a trained, exportable Model to a location specified by the user.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.export_model

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.get_model

get_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.GetModelRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.model.Model

Gets a Model.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.get_model

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.get_model_evaluation

get_model_evaluation(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.GetModelEvaluationRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.model_evaluation.ModelEvaluation

Gets a ModelEvaluation.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.get_model_evaluation

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.get_model_evaluation_slice

get_model_evaluation_slice(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.GetModelEvaluationSliceRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.model_evaluation_slice.ModelEvaluationSlice

Gets a ModelEvaluationSlice.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.get_model_evaluation_slice

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.model_service.transports.base.ModelServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.import_model_evaluation

import_model_evaluation(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.ImportModelEvaluationRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    model_evaluation: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.model_evaluation.ModelEvaluation
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.model_evaluation.ModelEvaluation

Imports an externally generated ModelEvaluation.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.import_model_evaluation

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.list_model_evaluation_slices

list_model_evaluation_slices(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationSlicesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.model_service.pagers.ListModelEvaluationSlicesAsyncPager
)

Lists ModelEvaluationSlices in a ModelEvaluation.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.list_model_evaluation_slices

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.list_model_evaluations

list_model_evaluations(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.model_service.pagers.ListModelEvaluationsAsyncPager
)

Lists ModelEvaluations in a Model.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.list_model_evaluations

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.list_model_versions

list_model_versions(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.ListModelVersionsRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.model_service.pagers.ListModelVersionsAsyncPager
)

Lists versions of the specified model.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.list_model_versions

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.list_models

list_models(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.ListModelsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.services.model_service.pagers.ListModelsAsyncPager

Lists Models in a Location.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.list_models

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.merge_version_aliases

merge_version_aliases(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.MergeVersionAliasesRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    version_aliases: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.model.Model

Merges a set of aliases for a Model version.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.merge_version_aliases

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.model_evaluation_path

model_evaluation_path(
    project: str, location: str, model: str, evaluation: str
) -> str

Returns a fully-qualified model_evaluation string.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.model_evaluation_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.model_evaluation_slice_path

model_evaluation_slice_path(
    project: str, location: str, model: str, evaluation: str, slice: str
) -> str

Returns a fully-qualified model_evaluation_slice string.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.model_evaluation_slice_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.model_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.parse_endpoint_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.parse_model_evaluation_path

parse_model_evaluation_path(path: str) -> typing.Dict[str, str]

Parses a model_evaluation path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.parse_model_evaluation_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.parse_model_evaluation_slice_path

parse_model_evaluation_slice_path(path: str) -> typing.Dict[str, str]

Parses a model_evaluation_slice path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.parse_model_evaluation_slice_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.parse_model_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.parse_training_pipeline_path

parse_training_pipeline_path(path: str) -> typing.Dict[str, str]

Parses a training_pipeline path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.parse_training_pipeline_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.training_pipeline_path

training_pipeline_path(project: str, location: str, training_pipeline: str) -> str

Returns a fully-qualified training_pipeline string.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.training_pipeline_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.update_explanation_dataset

update_explanation_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.UpdateExplanationDatasetRequest,
            dict,
        ]
    ] = None,
    *,
    model: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Incrementally update the dataset used for an examples model.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.update_explanation_dataset

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.update_model

update_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.UpdateModelRequest, dict
        ]
    ] = None,
    *,
    model: typing.Optional[google.cloud.aiplatform_v1beta1.types.model.Model] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.model.Model

Updates a Model.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.update_model

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.upload_model

upload_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.UploadModelRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    model: typing.Optional[google.cloud.aiplatform_v1beta1.types.model.Model] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Uploads a Model artifact into Vertex AI.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.upload_model

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient

ModelServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.model_service.transports.base.ModelServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the model service client.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.exit

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.batch_import_evaluated_annotations

batch_import_evaluated_annotations(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.BatchImportEvaluatedAnnotationsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    evaluated_annotations: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1beta1.types.evaluated_annotation.EvaluatedAnnotation
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.model_service.BatchImportEvaluatedAnnotationsResponse
)

Imports a list of externally generated EvaluatedAnnotations.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.batch_import_evaluated_annotations

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.batch_import_model_evaluation_slices

batch_import_model_evaluation_slices(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.BatchImportModelEvaluationSlicesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    model_evaluation_slices: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1beta1.types.model_evaluation_slice.ModelEvaluationSlice
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.model_service.BatchImportModelEvaluationSlicesResponse
)

Imports a list of externally generated ModelEvaluationSlice.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.batch_import_model_evaluation_slices

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.copy_model

copy_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.CopyModelRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    source_model: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Copies an already existing Vertex AI Model into the specified Location.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.copy_model

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.delete_model

delete_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.DeleteModelRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a Model.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.delete_model

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.delete_model_version

delete_model_version(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.DeleteModelVersionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a Model version.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.delete_model_version

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.endpoint_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.export_model

export_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.ExportModelRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    output_config: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.model_service.ExportModelRequest.OutputConfig
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Exports a trained, exportable Model to a location specified by the user.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.export_model

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.get_model

get_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.GetModelRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.model.Model

Gets a Model.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.get_model

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.get_model_evaluation

get_model_evaluation(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.GetModelEvaluationRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.model_evaluation.ModelEvaluation

Gets a ModelEvaluation.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.get_model_evaluation

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.get_model_evaluation_slice

get_model_evaluation_slice(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.GetModelEvaluationSliceRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.model_evaluation_slice.ModelEvaluationSlice

Gets a ModelEvaluationSlice.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.get_model_evaluation_slice

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.import_model_evaluation

import_model_evaluation(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.ImportModelEvaluationRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    model_evaluation: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.model_evaluation.ModelEvaluation
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.model_evaluation.ModelEvaluation

Imports an externally generated ModelEvaluation.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.import_model_evaluation

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.list_model_evaluation_slices

list_model_evaluation_slices(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationSlicesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.model_service.pagers.ListModelEvaluationSlicesPager
)

Lists ModelEvaluationSlices in a ModelEvaluation.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.list_model_evaluation_slices

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.list_model_evaluations

list_model_evaluations(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.model_service.pagers.ListModelEvaluationsPager
)

Lists ModelEvaluations in a Model.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.list_model_evaluations

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.list_model_versions

list_model_versions(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.ListModelVersionsRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.model_service.pagers.ListModelVersionsPager
)

Lists versions of the specified model.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.list_model_versions

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.list_models

list_models(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.ListModelsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.services.model_service.pagers.ListModelsPager

Lists Models in a Location.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.list_models

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.merge_version_aliases

merge_version_aliases(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.MergeVersionAliasesRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    version_aliases: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.model.Model

Merges a set of aliases for a Model version.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.merge_version_aliases

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.model_evaluation_path

model_evaluation_path(
    project: str, location: str, model: str, evaluation: str
) -> str

Returns a fully-qualified model_evaluation string.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.model_evaluation_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.model_evaluation_slice_path

model_evaluation_slice_path(
    project: str, location: str, model: str, evaluation: str, slice: str
) -> str

Returns a fully-qualified model_evaluation_slice string.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.model_evaluation_slice_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.model_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.parse_endpoint_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.parse_model_evaluation_path

parse_model_evaluation_path(path: str) -> typing.Dict[str, str]

Parses a model_evaluation path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.parse_model_evaluation_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.parse_model_evaluation_slice_path

parse_model_evaluation_slice_path(path: str) -> typing.Dict[str, str]

Parses a model_evaluation_slice path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.parse_model_evaluation_slice_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.parse_model_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.parse_training_pipeline_path

parse_training_pipeline_path(path: str) -> typing.Dict[str, str]

Parses a training_pipeline path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.parse_training_pipeline_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.training_pipeline_path

training_pipeline_path(project: str, location: str, training_pipeline: str) -> str

Returns a fully-qualified training_pipeline string.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.training_pipeline_path

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.update_explanation_dataset

update_explanation_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.UpdateExplanationDatasetRequest,
            dict,
        ]
    ] = None,
    *,
    model: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Incrementally update the dataset used for an examples model.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.update_explanation_dataset

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.update_model

update_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.UpdateModelRequest, dict
        ]
    ] = None,
    *,
    model: typing.Optional[google.cloud.aiplatform_v1beta1.types.model.Model] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.model.Model

Updates a Model.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.update_model

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.upload_model

upload_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.model_service.UploadModelRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    model: typing.Optional[google.cloud.aiplatform_v1beta1.types.model.Model] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Uploads a Model artifact into Vertex AI.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.upload_model

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.model_service.pagers.ListModelEvaluationSlicesAsyncPager

ListModelEvaluationSlicesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationSlicesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationSlicesRequest,
    response: google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationSlicesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.model_service.pagers.ListModelEvaluationSlicesAsyncPager

google.cloud.aiplatform_v1beta1.services.model_service.pagers.ListModelEvaluationSlicesPager

ListModelEvaluationSlicesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationSlicesResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationSlicesRequest,
    response: google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationSlicesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.model_service.pagers.ListModelEvaluationSlicesPager

google.cloud.aiplatform_v1beta1.services.model_service.pagers.ListModelEvaluationsAsyncPager

ListModelEvaluationsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationsRequest,
    response: google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.model_service.pagers.ListModelEvaluationsAsyncPager

google.cloud.aiplatform_v1beta1.services.model_service.pagers.ListModelEvaluationsPager

ListModelEvaluationsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationsRequest,
    response: google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.model_service.pagers.ListModelEvaluationsPager

google.cloud.aiplatform_v1beta1.services.model_service.pagers.ListModelVersionsAsyncPager

ListModelVersionsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.model_service.ListModelVersionsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.model_service.ListModelVersionsRequest,
    response: google.cloud.aiplatform_v1beta1.types.model_service.ListModelVersionsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.model_service.pagers.ListModelVersionsAsyncPager

google.cloud.aiplatform_v1beta1.services.model_service.pagers.ListModelVersionsPager

ListModelVersionsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.model_service.ListModelVersionsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.model_service.ListModelVersionsRequest,
    response: google.cloud.aiplatform_v1beta1.types.model_service.ListModelVersionsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.model_service.pagers.ListModelVersionsPager

google.cloud.aiplatform_v1beta1.services.model_service.pagers.ListModelsAsyncPager

ListModelsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.model_service.ListModelsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.model_service.ListModelsRequest,
    response: google.cloud.aiplatform_v1beta1.types.model_service.ListModelsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.model_service.pagers.ListModelsAsyncPager

google.cloud.aiplatform_v1beta1.services.model_service.pagers.ListModelsPager

ListModelsPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1beta1.types.model_service.ListModelsResponse
    ],
    request: google.cloud.aiplatform_v1beta1.types.model_service.ListModelsRequest,
    response: google.cloud.aiplatform_v1beta1.types.model_service.ListModelsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.model_service.pagers.ListModelsPager

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient

NotebookServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.notebook_service.transports.base.NotebookServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the notebook service async client.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.assign_notebook_runtime

assign_notebook_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.notebook_service.AssignNotebookRuntimeRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    notebook_runtime_template: typing.Optional[str] = None,
    notebook_runtime: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.notebook_runtime.NotebookRuntime
    ] = None,
    notebook_runtime_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Assigns a NotebookRuntime to a user for a particular Notebook file.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.assign_notebook_runtime

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.create_notebook_runtime_template

create_notebook_runtime_template(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.notebook_service.CreateNotebookRuntimeTemplateRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    notebook_runtime_template: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.notebook_runtime.NotebookRuntimeTemplate
    ] = None,
    notebook_runtime_template_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a NotebookRuntimeTemplate.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.create_notebook_runtime_template

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.delete_notebook_runtime

delete_notebook_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.notebook_service.DeleteNotebookRuntimeRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a NotebookRuntime.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.delete_notebook_runtime

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.delete_notebook_runtime_template

delete_notebook_runtime_template(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.notebook_service.DeleteNotebookRuntimeTemplateRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a NotebookRuntimeTemplate.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.delete_notebook_runtime_template

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.get_notebook_runtime

get_notebook_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.notebook_service.GetNotebookRuntimeRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.notebook_runtime.NotebookRuntime

Gets a NotebookRuntime.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.get_notebook_runtime

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.get_notebook_runtime_template

get_notebook_runtime_template(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.notebook_service.GetNotebookRuntimeTemplateRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.notebook_runtime.NotebookRuntimeTemplate

Gets a NotebookRuntimeTemplate.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.get_notebook_runtime_template

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.notebook_service.transports.base.NotebookServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.list_notebook_runtime_templates

list_notebook_runtime_templates(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.notebook_service.ListNotebookRuntimeTemplatesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.notebook_service.pagers.ListNotebookRuntimeTemplatesAsyncPager
)

Lists NotebookRuntimeTemplates in a Location.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.list_notebook_runtime_templates

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.list_notebook_runtimes

list_notebook_runtimes(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.notebook_service.ListNotebookRuntimesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.notebook_service.pagers.ListNotebookRuntimesAsyncPager
)

Lists NotebookRuntimes in a Location.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.list_notebook_runtimes

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.network_path

network_path(project: str, network: str) -> str

Returns a fully-qualified network string.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.network_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.notebook_runtime_path

notebook_runtime_path(project: str, location: str, notebook_runtime: str) -> str

Returns a fully-qualified notebook_runtime string.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.notebook_runtime_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.notebook_runtime_template_path

notebook_runtime_template_path(
    project: str, location: str, notebook_runtime_template: str
) -> str

Returns a fully-qualified notebook_runtime_template string.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.notebook_runtime_template_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.parse_network_path

parse_network_path(path: str) -> typing.Dict[str, str]

Parses a network path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.parse_network_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.parse_notebook_runtime_path

parse_notebook_runtime_path(path: str) -> typing.Dict[str, str]

Parses a notebook_runtime path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.parse_notebook_runtime_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.parse_notebook_runtime_template_path

parse_notebook_runtime_template_path(path: str) -> typing.Dict[str, str]

Parses a notebook_runtime_template path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.parse_notebook_runtime_template_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.parse_subnetwork_path

parse_subnetwork_path(path: str) -> typing.Dict[str, str]

Parses a subnetwork path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.parse_subnetwork_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.start_notebook_runtime

start_notebook_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.notebook_service.StartNotebookRuntimeRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Starts a NotebookRuntime.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.start_notebook_runtime

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.subnetwork_path

subnetwork_path(project: str, region: str, subnetwork: str) -> str

Returns a fully-qualified subnetwork string.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.subnetwork_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.upgrade_notebook_runtime

upgrade_notebook_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.notebook_service.UpgradeNotebookRuntimeRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Upgrades a NotebookRuntime.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.upgrade_notebook_runtime

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient

NotebookServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.notebook_service.transports.base.NotebookServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the notebook service client.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.exit

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.assign_notebook_runtime

assign_notebook_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.notebook_service.AssignNotebookRuntimeRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    notebook_runtime_template: typing.Optional[str] = None,
    notebook_runtime: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.notebook_runtime.NotebookRuntime
    ] = None,
    notebook_runtime_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Assigns a NotebookRuntime to a user for a particular Notebook file.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.assign_notebook_runtime

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.create_notebook_runtime_template

create_notebook_runtime_template(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.notebook_service.CreateNotebookRuntimeTemplateRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    notebook_runtime_template: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.notebook_runtime.NotebookRuntimeTemplate
    ] = None,
    notebook_runtime_template_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a NotebookRuntimeTemplate.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.create_notebook_runtime_template

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.delete_notebook_runtime

delete_notebook_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.notebook_service.DeleteNotebookRuntimeRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a NotebookRuntime.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.delete_notebook_runtime

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.delete_notebook_runtime_template

delete_notebook_runtime_template(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.notebook_service.DeleteNotebookRuntimeTemplateRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a NotebookRuntimeTemplate.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.delete_notebook_runtime_template

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.get_notebook_runtime

get_notebook_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.notebook_service.GetNotebookRuntimeRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.notebook_runtime.NotebookRuntime

Gets a NotebookRuntime.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.get_notebook_runtime

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.get_notebook_runtime_template

get_notebook_runtime_template(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.notebook_service.GetNotebookRuntimeTemplateRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.notebook_runtime.NotebookRuntimeTemplate

Gets a NotebookRuntimeTemplate.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.get_notebook_runtime_template

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.list_notebook_runtime_templates

list_notebook_runtime_templates(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.notebook_service.ListNotebookRuntimeTemplatesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.notebook_service.pagers.ListNotebookRuntimeTemplatesPager
)

Lists NotebookRuntimeTemplates in a Location.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.list_notebook_runtime_templates

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.list_notebook_runtimes

list_notebook_runtimes(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.notebook_service.ListNotebookRuntimesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.notebook_service.pagers.ListNotebookRuntimesPager
)

Lists NotebookRuntimes in a Location.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.list_notebook_runtimes

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.network_path

network_path(project: str, network: str) -> str

Returns a fully-qualified network string.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.network_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.notebook_runtime_path

notebook_runtime_path(project: str, location: str, notebook_runtime: str) -> str

Returns a fully-qualified notebook_runtime string.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.notebook_runtime_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.notebook_runtime_template_path

notebook_runtime_template_path(
    project: str, location: str, notebook_runtime_template: str
) -> str

Returns a fully-qualified notebook_runtime_template string.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.notebook_runtime_template_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.parse_network_path

parse_network_path(path: str) -> typing.Dict[str, str]

Parses a network path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.parse_network_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.parse_notebook_runtime_path

parse_notebook_runtime_path(path: str) -> typing.Dict[str, str]

Parses a notebook_runtime path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.parse_notebook_runtime_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.parse_notebook_runtime_template_path

parse_notebook_runtime_template_path(path: str) -> typing.Dict[str, str]

Parses a notebook_runtime_template path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.parse_notebook_runtime_template_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.parse_subnetwork_path

parse_subnetwork_path(path: str) -> typing.Dict[str, str]

Parses a subnetwork path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.parse_subnetwork_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.start_notebook_runtime

start_notebook_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.notebook_service.StartNotebookRuntimeRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Starts a NotebookRuntime.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.start_notebook_runtime

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.subnetwork_path

subnetwork_path(project: str, region: str, subnetwork: str) -> str

Returns a fully-qualified subnetwork string.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.subnetwork_path

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.upgrade_notebook_runtime

upgrade_notebook_runtime(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.notebook_service.UpgradeNotebookRuntimeRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Upgrades a NotebookRuntime.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.upgrade_notebook_runtime

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.notebook_service.pagers.ListNotebookRuntimeTemplatesAsyncPager

ListNotebookRuntimeTemplatesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.notebook_service.ListNotebookRuntimeTemplatesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.notebook_service.ListNotebookRuntimeTemplatesRequest,
    response: google.cloud.aiplatform_v1beta1.types.notebook_service.ListNotebookRuntimeTemplatesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.pagers.ListNotebookRuntimeTemplatesAsyncPager

google.cloud.aiplatform_v1beta1.services.notebook_service.pagers.ListNotebookRuntimeTemplatesPager

ListNotebookRuntimeTemplatesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.notebook_service.ListNotebookRuntimeTemplatesResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.notebook_service.ListNotebookRuntimeTemplatesRequest,
    response: google.cloud.aiplatform_v1beta1.types.notebook_service.ListNotebookRuntimeTemplatesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.pagers.ListNotebookRuntimeTemplatesPager

google.cloud.aiplatform_v1beta1.services.notebook_service.pagers.ListNotebookRuntimesAsyncPager

ListNotebookRuntimesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.notebook_service.ListNotebookRuntimesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.notebook_service.ListNotebookRuntimesRequest,
    response: google.cloud.aiplatform_v1beta1.types.notebook_service.ListNotebookRuntimesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.pagers.ListNotebookRuntimesAsyncPager

google.cloud.aiplatform_v1beta1.services.notebook_service.pagers.ListNotebookRuntimesPager

ListNotebookRuntimesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.notebook_service.ListNotebookRuntimesResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.notebook_service.ListNotebookRuntimesRequest,
    response: google.cloud.aiplatform_v1beta1.types.notebook_service.ListNotebookRuntimesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.pagers.ListNotebookRuntimesPager

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient

PersistentResourceServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.persistent_resource_service.transports.base.PersistentResourceServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the persistent resource service async client.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.create_persistent_resource

create_persistent_resource(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.persistent_resource_service.CreatePersistentResourceRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    persistent_resource: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.persistent_resource.PersistentResource
    ] = None,
    persistent_resource_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a PersistentResource.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.create_persistent_resource

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.delete_persistent_resource

delete_persistent_resource(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.persistent_resource_service.DeletePersistentResourceRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a PersistentResource.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.delete_persistent_resource

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.get_persistent_resource

get_persistent_resource(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.persistent_resource_service.GetPersistentResourceRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.persistent_resource.PersistentResource

Gets a PersistentResource.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.get_persistent_resource

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.persistent_resource_service.transports.base.PersistentResourceServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.list_persistent_resources

list_persistent_resources(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.persistent_resource_service.ListPersistentResourcesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.persistent_resource_service.pagers.ListPersistentResourcesAsyncPager
)

Lists PersistentResources in a Location.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.list_persistent_resources

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.network_path

network_path(project: str, network: str) -> str

Returns a fully-qualified network string.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.network_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.notebook_runtime_template_path

notebook_runtime_template_path(
    project: str, location: str, notebook_runtime_template: str
) -> str

Returns a fully-qualified notebook_runtime_template string.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.notebook_runtime_template_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_network_path

parse_network_path(path: str) -> typing.Dict[str, str]

Parses a network path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_network_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_notebook_runtime_template_path

parse_notebook_runtime_template_path(path: str) -> typing.Dict[str, str]

Parses a notebook_runtime_template path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_notebook_runtime_template_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_persistent_resource_path

parse_persistent_resource_path(path: str) -> typing.Dict[str, str]

Parses a persistent_resource path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.parse_persistent_resource_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.persistent_resource_path

persistent_resource_path(
    project: str, location: str, persistent_resource: str
) -> str

Returns a fully-qualified persistent_resource string.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.persistent_resource_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.reboot_persistent_resource

reboot_persistent_resource(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.persistent_resource_service.RebootPersistentResourceRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Reboots a PersistentResource.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.reboot_persistent_resource

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.update_persistent_resource

update_persistent_resource(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.persistent_resource_service.UpdatePersistentResourceRequest,
            dict,
        ]
    ] = None,
    *,
    persistent_resource: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.persistent_resource.PersistentResource
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates a PersistentResource.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.update_persistent_resource

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient

PersistentResourceServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.persistent_resource_service.transports.base.PersistentResourceServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the persistent resource service client.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.exit

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.create_persistent_resource

create_persistent_resource(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.persistent_resource_service.CreatePersistentResourceRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    persistent_resource: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.persistent_resource.PersistentResource
    ] = None,
    persistent_resource_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a PersistentResource.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.create_persistent_resource

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.delete_persistent_resource

delete_persistent_resource(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.persistent_resource_service.DeletePersistentResourceRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a PersistentResource.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.delete_persistent_resource

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.get_persistent_resource

get_persistent_resource(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.persistent_resource_service.GetPersistentResourceRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.persistent_resource.PersistentResource

Gets a PersistentResource.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.get_persistent_resource

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.list_persistent_resources

list_persistent_resources(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.persistent_resource_service.ListPersistentResourcesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.persistent_resource_service.pagers.ListPersistentResourcesPager
)

Lists PersistentResources in a Location.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.list_persistent_resources

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.network_path

network_path(project: str, network: str) -> str

Returns a fully-qualified network string.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.network_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.notebook_runtime_template_path

notebook_runtime_template_path(
    project: str, location: str, notebook_runtime_template: str
) -> str

Returns a fully-qualified notebook_runtime_template string.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.notebook_runtime_template_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.parse_network_path

parse_network_path(path: str) -> typing.Dict[str, str]

Parses a network path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.parse_network_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.parse_notebook_runtime_template_path

parse_notebook_runtime_template_path(path: str) -> typing.Dict[str, str]

Parses a notebook_runtime_template path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.parse_notebook_runtime_template_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.parse_persistent_resource_path

parse_persistent_resource_path(path: str) -> typing.Dict[str, str]

Parses a persistent_resource path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.parse_persistent_resource_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.persistent_resource_path

persistent_resource_path(
    project: str, location: str, persistent_resource: str
) -> str

Returns a fully-qualified persistent_resource string.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.persistent_resource_path

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.reboot_persistent_resource

reboot_persistent_resource(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.persistent_resource_service.RebootPersistentResourceRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Reboots a PersistentResource.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.reboot_persistent_resource

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.update_persistent_resource

update_persistent_resource(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.persistent_resource_service.UpdatePersistentResourceRequest,
            dict,
        ]
    ] = None,
    *,
    persistent_resource: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.persistent_resource.PersistentResource
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates a PersistentResource.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.update_persistent_resource

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.pagers.ListPersistentResourcesAsyncPager

ListPersistentResourcesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.persistent_resource_service.ListPersistentResourcesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.persistent_resource_service.ListPersistentResourcesRequest,
    response: google.cloud.aiplatform_v1beta1.types.persistent_resource_service.ListPersistentResourcesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.pagers.ListPersistentResourcesAsyncPager

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.pagers.ListPersistentResourcesPager

ListPersistentResourcesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.persistent_resource_service.ListPersistentResourcesResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.persistent_resource_service.ListPersistentResourcesRequest,
    response: google.cloud.aiplatform_v1beta1.types.persistent_resource_service.ListPersistentResourcesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.persistent_resource_service.pagers.ListPersistentResourcesPager

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient

PipelineServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.pipeline_service.transports.base.PipelineServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the pipeline service async client.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.artifact_path

artifact_path(
    project: str, location: str, metadata_store: str, artifact: str
) -> str

Returns a fully-qualified artifact string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.artifact_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.batch_cancel_pipeline_jobs

batch_cancel_pipeline_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.BatchCancelPipelineJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    names: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Batch cancel PipelineJobs.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.batch_cancel_pipeline_jobs

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.batch_delete_pipeline_jobs

batch_delete_pipeline_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.BatchDeletePipelineJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    names: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Batch deletes PipelineJobs The Operation is atomic.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.batch_delete_pipeline_jobs

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.cancel_pipeline_job

cancel_pipeline_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.CancelPipelineJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a PipelineJob.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.cancel_pipeline_job

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.cancel_training_pipeline

cancel_training_pipeline(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.CancelTrainingPipelineRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a TrainingPipeline.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.cancel_training_pipeline

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.context_path

context_path(project: str, location: str, metadata_store: str, context: str) -> str

Returns a fully-qualified context string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.context_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.create_pipeline_job

create_pipeline_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.CreatePipelineJobRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    pipeline_job: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.pipeline_job.PipelineJob
    ] = None,
    pipeline_job_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.pipeline_job.PipelineJob

Creates a PipelineJob.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.create_pipeline_job

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.create_training_pipeline

create_training_pipeline(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.CreateTrainingPipelineRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    training_pipeline: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.training_pipeline.TrainingPipeline
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.training_pipeline.TrainingPipeline

Creates a TrainingPipeline.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.create_training_pipeline

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.custom_job_path

custom_job_path(project: str, location: str, custom_job: str) -> str

Returns a fully-qualified custom_job string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.custom_job_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.delete_pipeline_job

delete_pipeline_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.DeletePipelineJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a PipelineJob.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.delete_pipeline_job

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.delete_training_pipeline

delete_training_pipeline(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.DeleteTrainingPipelineRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a TrainingPipeline.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.delete_training_pipeline

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.endpoint_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.execution_path

execution_path(
    project: str, location: str, metadata_store: str, execution: str
) -> str

Returns a fully-qualified execution string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.execution_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.get_pipeline_job

get_pipeline_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.GetPipelineJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.pipeline_job.PipelineJob

Gets a PipelineJob.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.get_pipeline_job

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.get_training_pipeline

get_training_pipeline(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.GetTrainingPipelineRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.training_pipeline.TrainingPipeline

Gets a TrainingPipeline.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.get_training_pipeline

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.pipeline_service.transports.base.PipelineServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.list_pipeline_jobs

list_pipeline_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.ListPipelineJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.pipeline_service.pagers.ListPipelineJobsAsyncPager
)

Lists PipelineJobs in a Location.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.list_pipeline_jobs

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.list_training_pipelines

list_training_pipelines(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.ListTrainingPipelinesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.pipeline_service.pagers.ListTrainingPipelinesAsyncPager
)

Lists TrainingPipelines in a Location.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.list_training_pipelines

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.model_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.network_path

network_path(project: str, network: str) -> str

Returns a fully-qualified network string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.network_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_artifact_path

parse_artifact_path(path: str) -> typing.Dict[str, str]

Parses a artifact path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_artifact_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_context_path

parse_context_path(path: str) -> typing.Dict[str, str]

Parses a context path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_context_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_custom_job_path

parse_custom_job_path(path: str) -> typing.Dict[str, str]

Parses a custom_job path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_custom_job_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_endpoint_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_execution_path

parse_execution_path(path: str) -> typing.Dict[str, str]

Parses a execution path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_execution_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_model_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_network_path

parse_network_path(path: str) -> typing.Dict[str, str]

Parses a network path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_network_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_pipeline_job_path

parse_pipeline_job_path(path: str) -> typing.Dict[str, str]

Parses a pipeline_job path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_pipeline_job_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_training_pipeline_path

parse_training_pipeline_path(path: str) -> typing.Dict[str, str]

Parses a training_pipeline path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.parse_training_pipeline_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.pipeline_job_path

pipeline_job_path(project: str, location: str, pipeline_job: str) -> str

Returns a fully-qualified pipeline_job string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.pipeline_job_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.training_pipeline_path

training_pipeline_path(project: str, location: str, training_pipeline: str) -> str

Returns a fully-qualified training_pipeline string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.training_pipeline_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient

PipelineServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.pipeline_service.transports.base.PipelineServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the pipeline service client.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.exit

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.artifact_path

artifact_path(
    project: str, location: str, metadata_store: str, artifact: str
) -> str

Returns a fully-qualified artifact string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.artifact_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.batch_cancel_pipeline_jobs

batch_cancel_pipeline_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.BatchCancelPipelineJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    names: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Batch cancel PipelineJobs.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.batch_cancel_pipeline_jobs

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.batch_delete_pipeline_jobs

batch_delete_pipeline_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.BatchDeletePipelineJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    names: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Batch deletes PipelineJobs The Operation is atomic.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.batch_delete_pipeline_jobs

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.cancel_pipeline_job

cancel_pipeline_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.CancelPipelineJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a PipelineJob.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.cancel_pipeline_job

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.cancel_training_pipeline

cancel_training_pipeline(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.CancelTrainingPipelineRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Cancels a TrainingPipeline.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.cancel_training_pipeline

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.context_path

context_path(project: str, location: str, metadata_store: str, context: str) -> str

Returns a fully-qualified context string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.context_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.create_pipeline_job

create_pipeline_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.CreatePipelineJobRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    pipeline_job: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.pipeline_job.PipelineJob
    ] = None,
    pipeline_job_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.pipeline_job.PipelineJob

Creates a PipelineJob.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.create_pipeline_job

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.create_training_pipeline

create_training_pipeline(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.CreateTrainingPipelineRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    training_pipeline: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.training_pipeline.TrainingPipeline
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.training_pipeline.TrainingPipeline

Creates a TrainingPipeline.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.create_training_pipeline

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.custom_job_path

custom_job_path(project: str, location: str, custom_job: str) -> str

Returns a fully-qualified custom_job string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.custom_job_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.delete_pipeline_job

delete_pipeline_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.DeletePipelineJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a PipelineJob.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.delete_pipeline_job

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.delete_training_pipeline

delete_training_pipeline(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.DeleteTrainingPipelineRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a TrainingPipeline.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.delete_training_pipeline

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.endpoint_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.execution_path

execution_path(
    project: str, location: str, metadata_store: str, execution: str
) -> str

Returns a fully-qualified execution string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.execution_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.get_pipeline_job

get_pipeline_job(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.GetPipelineJobRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.pipeline_job.PipelineJob

Gets a PipelineJob.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.get_pipeline_job

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.get_training_pipeline

get_training_pipeline(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.GetTrainingPipelineRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.training_pipeline.TrainingPipeline

Gets a TrainingPipeline.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.get_training_pipeline

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.list_pipeline_jobs

list_pipeline_jobs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.ListPipelineJobsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.pipeline_service.pagers.ListPipelineJobsPager
)

Lists PipelineJobs in a Location.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.list_pipeline_jobs

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.list_training_pipelines

list_training_pipelines(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.ListTrainingPipelinesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.pipeline_service.pagers.ListTrainingPipelinesPager
)

Lists TrainingPipelines in a Location.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.list_training_pipelines

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.model_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.network_path

network_path(project: str, network: str) -> str

Returns a fully-qualified network string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.network_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_artifact_path

parse_artifact_path(path: str) -> typing.Dict[str, str]

Parses a artifact path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_artifact_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_context_path

parse_context_path(path: str) -> typing.Dict[str, str]

Parses a context path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_context_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_custom_job_path

parse_custom_job_path(path: str) -> typing.Dict[str, str]

Parses a custom_job path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_custom_job_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_endpoint_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_execution_path

parse_execution_path(path: str) -> typing.Dict[str, str]

Parses a execution path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_execution_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_model_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_network_path

parse_network_path(path: str) -> typing.Dict[str, str]

Parses a network path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_network_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_pipeline_job_path

parse_pipeline_job_path(path: str) -> typing.Dict[str, str]

Parses a pipeline_job path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_pipeline_job_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_training_pipeline_path

parse_training_pipeline_path(path: str) -> typing.Dict[str, str]

Parses a training_pipeline path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.parse_training_pipeline_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.pipeline_job_path

pipeline_job_path(project: str, location: str, pipeline_job: str) -> str

Returns a fully-qualified pipeline_job string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.pipeline_job_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.training_pipeline_path

training_pipeline_path(project: str, location: str, training_pipeline: str) -> str

Returns a fully-qualified training_pipeline string.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.training_pipeline_path

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.pipeline_service.pagers.ListPipelineJobsAsyncPager

ListPipelineJobsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.ListPipelineJobsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.pipeline_service.ListPipelineJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.pipeline_service.ListPipelineJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.pagers.ListPipelineJobsAsyncPager

google.cloud.aiplatform_v1beta1.services.pipeline_service.pagers.ListPipelineJobsPager

ListPipelineJobsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.pipeline_service.ListPipelineJobsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.pipeline_service.ListPipelineJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.pipeline_service.ListPipelineJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.pagers.ListPipelineJobsPager

google.cloud.aiplatform_v1beta1.services.pipeline_service.pagers.ListTrainingPipelinesAsyncPager

ListTrainingPipelinesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.ListTrainingPipelinesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.pipeline_service.ListTrainingPipelinesRequest,
    response: google.cloud.aiplatform_v1beta1.types.pipeline_service.ListTrainingPipelinesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.pagers.ListTrainingPipelinesAsyncPager

google.cloud.aiplatform_v1beta1.services.pipeline_service.pagers.ListTrainingPipelinesPager

ListTrainingPipelinesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.pipeline_service.ListTrainingPipelinesResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.pipeline_service.ListTrainingPipelinesRequest,
    response: google.cloud.aiplatform_v1beta1.types.pipeline_service.ListTrainingPipelinesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.pagers.ListTrainingPipelinesPager

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient

PredictionServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.prediction_service.transports.base.PredictionServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the prediction service async client.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.chat_completions

chat_completions(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.prediction_service.ChatCompletionsRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    http_body: typing.Optional[google.api.httpbody_pb2.HttpBody] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Awaitable[typing.AsyncIterable[google.api.httpbody_pb2.HttpBody]]

Exposes an OpenAI-compatible endpoint for chat completions.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.chat_completions

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.count_tokens

count_tokens(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.prediction_service.CountTokensRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    instances: typing.Optional[
        typing.MutableSequence[google.protobuf.struct_pb2.Value]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.prediction_service.CountTokensResponse

Perform a token counting.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.count_tokens

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.direct_predict

direct_predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.prediction_service.DirectPredictRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.prediction_service.DirectPredictResponse

Perform an unary online prediction request to a gRPC model server for Vertex first-party products and frameworks.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.direct_predict

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.direct_raw_predict

direct_raw_predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.prediction_service.DirectRawPredictRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.prediction_service.DirectRawPredictResponse

Perform an unary online prediction request to a gRPC model server for custom containers.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.direct_raw_predict

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.endpoint_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.explain

explain(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.prediction_service.ExplainRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    instances: typing.Optional[
        typing.MutableSequence[google.protobuf.struct_pb2.Value]
    ] = None,
    parameters: typing.Optional[google.protobuf.struct_pb2.Value] = None,
    deployed_model_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.prediction_service.ExplainResponse

Perform an online explanation.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.explain

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.generate_content

generate_content(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.prediction_service.GenerateContentRequest,
            dict,
        ]
    ] = None,
    *,
    model: typing.Optional[str] = None,
    contents: typing.Optional[
        typing.MutableSequence[google.cloud.aiplatform_v1beta1.types.content.Content]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.prediction_service.GenerateContentResponse

Generate content with multimodal inputs.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.generate_content

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.prediction_service.transports.base.PredictionServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.model_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.parse_endpoint_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.parse_model_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.parse_rag_corpus_path

parse_rag_corpus_path(path: str) -> typing.Dict[str, str]

Parses a rag_corpus path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.parse_rag_corpus_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.predict

predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.prediction_service.PredictRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    instances: typing.Optional[
        typing.MutableSequence[google.protobuf.struct_pb2.Value]
    ] = None,
    parameters: typing.Optional[google.protobuf.struct_pb2.Value] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.prediction_service.PredictResponse

Perform an online prediction.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.predict

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.rag_corpus_path

rag_corpus_path(project: str, location: str, rag_corpus: str) -> str

Returns a fully-qualified rag_corpus string.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.rag_corpus_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.raw_predict

raw_predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.prediction_service.RawPredictRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    http_body: typing.Optional[google.api.httpbody_pb2.HttpBody] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api.httpbody_pb2.HttpBody

Perform an online prediction with an arbitrary HTTP payload.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.raw_predict

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.server_streaming_predict

server_streaming_predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.prediction_service.StreamingPredictRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Awaitable[
    typing.AsyncIterable[
        google.cloud.aiplatform_v1beta1.types.prediction_service.StreamingPredictResponse
    ]
]

Perform a server-side streaming online prediction request for Vertex LLM streaming.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.server_streaming_predict

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.stream_direct_predict

stream_direct_predict(
    requests: typing.Optional[
        typing.AsyncIterator[
            google.cloud.aiplatform_v1beta1.types.prediction_service.StreamDirectPredictRequest
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Awaitable[
    typing.AsyncIterable[
        google.cloud.aiplatform_v1beta1.types.prediction_service.StreamDirectPredictResponse
    ]
]

Perform a streaming online prediction request to a gRPC model server for Vertex first-party products and frameworks.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.stream_direct_predict

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.stream_direct_raw_predict

stream_direct_raw_predict(
    requests: typing.Optional[
        typing.AsyncIterator[
            google.cloud.aiplatform_v1beta1.types.prediction_service.StreamDirectRawPredictRequest
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Awaitable[
    typing.AsyncIterable[
        google.cloud.aiplatform_v1beta1.types.prediction_service.StreamDirectRawPredictResponse
    ]
]

Perform a streaming online prediction request to a gRPC model server for custom containers.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.stream_direct_raw_predict

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.stream_generate_content

stream_generate_content(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.prediction_service.GenerateContentRequest,
            dict,
        ]
    ] = None,
    *,
    model: typing.Optional[str] = None,
    contents: typing.Optional[
        typing.MutableSequence[google.cloud.aiplatform_v1beta1.types.content.Content]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Awaitable[
    typing.AsyncIterable[
        google.cloud.aiplatform_v1beta1.types.prediction_service.GenerateContentResponse
    ]
]

Generate content with multimodal inputs with streaming support.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.stream_generate_content

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.streaming_predict

streaming_predict(
    requests: typing.Optional[
        typing.AsyncIterator[
            google.cloud.aiplatform_v1beta1.types.prediction_service.StreamingPredictRequest
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Awaitable[
    typing.AsyncIterable[
        google.cloud.aiplatform_v1beta1.types.prediction_service.StreamingPredictResponse
    ]
]

Perform a streaming online prediction request for Vertex first-party products and frameworks.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.streaming_predict

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.streaming_raw_predict

streaming_raw_predict(
    requests: typing.Optional[
        typing.AsyncIterator[
            google.cloud.aiplatform_v1beta1.types.prediction_service.StreamingRawPredictRequest
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Awaitable[
    typing.AsyncIterable[
        google.cloud.aiplatform_v1beta1.types.prediction_service.StreamingRawPredictResponse
    ]
]

Perform a streaming online prediction request through gRPC.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.streaming_raw_predict

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient

PredictionServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.prediction_service.transports.base.PredictionServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the prediction service client.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.exit

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.chat_completions

chat_completions(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.prediction_service.ChatCompletionsRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    http_body: typing.Optional[google.api.httpbody_pb2.HttpBody] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Iterable[google.api.httpbody_pb2.HttpBody]

Exposes an OpenAI-compatible endpoint for chat completions.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.chat_completions

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.count_tokens

count_tokens(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.prediction_service.CountTokensRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    instances: typing.Optional[
        typing.MutableSequence[google.protobuf.struct_pb2.Value]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.prediction_service.CountTokensResponse

Perform a token counting.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.count_tokens

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.direct_predict

direct_predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.prediction_service.DirectPredictRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.prediction_service.DirectPredictResponse

Perform an unary online prediction request to a gRPC model server for Vertex first-party products and frameworks.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.direct_predict

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.direct_raw_predict

direct_raw_predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.prediction_service.DirectRawPredictRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.prediction_service.DirectRawPredictResponse

Perform an unary online prediction request to a gRPC model server for custom containers.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.direct_raw_predict

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.endpoint_path

endpoint_path(project: str, location: str, endpoint: str) -> str

Returns a fully-qualified endpoint string.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.endpoint_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.explain

explain(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.prediction_service.ExplainRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    instances: typing.Optional[
        typing.MutableSequence[google.protobuf.struct_pb2.Value]
    ] = None,
    parameters: typing.Optional[google.protobuf.struct_pb2.Value] = None,
    deployed_model_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.prediction_service.ExplainResponse

Perform an online explanation.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.explain

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.generate_content

generate_content(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.prediction_service.GenerateContentRequest,
            dict,
        ]
    ] = None,
    *,
    model: typing.Optional[str] = None,
    contents: typing.Optional[
        typing.MutableSequence[google.cloud.aiplatform_v1beta1.types.content.Content]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.prediction_service.GenerateContentResponse

Generate content with multimodal inputs.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.generate_content

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.model_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.parse_endpoint_path

parse_endpoint_path(path: str) -> typing.Dict[str, str]

Parses a endpoint path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.parse_endpoint_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.parse_model_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.parse_rag_corpus_path

parse_rag_corpus_path(path: str) -> typing.Dict[str, str]

Parses a rag_corpus path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.parse_rag_corpus_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.predict

predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.prediction_service.PredictRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    instances: typing.Optional[
        typing.MutableSequence[google.protobuf.struct_pb2.Value]
    ] = None,
    parameters: typing.Optional[google.protobuf.struct_pb2.Value] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.prediction_service.PredictResponse

Perform an online prediction.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.predict

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.rag_corpus_path

rag_corpus_path(project: str, location: str, rag_corpus: str) -> str

Returns a fully-qualified rag_corpus string.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.rag_corpus_path

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.raw_predict

raw_predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.prediction_service.RawPredictRequest,
            dict,
        ]
    ] = None,
    *,
    endpoint: typing.Optional[str] = None,
    http_body: typing.Optional[google.api.httpbody_pb2.HttpBody] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api.httpbody_pb2.HttpBody

Perform an online prediction with an arbitrary HTTP payload.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.raw_predict

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.server_streaming_predict

server_streaming_predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.prediction_service.StreamingPredictRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Iterable[
    google.cloud.aiplatform_v1beta1.types.prediction_service.StreamingPredictResponse
]

Perform a server-side streaming online prediction request for Vertex LLM streaming.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.server_streaming_predict

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.stream_direct_predict

stream_direct_predict(
    requests: typing.Optional[
        typing.Iterator[
            google.cloud.aiplatform_v1beta1.types.prediction_service.StreamDirectPredictRequest
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Iterable[
    google.cloud.aiplatform_v1beta1.types.prediction_service.StreamDirectPredictResponse
]

Perform a streaming online prediction request to a gRPC model server for Vertex first-party products and frameworks.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.stream_direct_predict

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.stream_direct_raw_predict

stream_direct_raw_predict(
    requests: typing.Optional[
        typing.Iterator[
            google.cloud.aiplatform_v1beta1.types.prediction_service.StreamDirectRawPredictRequest
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Iterable[
    google.cloud.aiplatform_v1beta1.types.prediction_service.StreamDirectRawPredictResponse
]

Perform a streaming online prediction request to a gRPC model server for custom containers.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.stream_direct_raw_predict

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.stream_generate_content

stream_generate_content(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.prediction_service.GenerateContentRequest,
            dict,
        ]
    ] = None,
    *,
    model: typing.Optional[str] = None,
    contents: typing.Optional[
        typing.MutableSequence[google.cloud.aiplatform_v1beta1.types.content.Content]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Iterable[
    google.cloud.aiplatform_v1beta1.types.prediction_service.GenerateContentResponse
]

Generate content with multimodal inputs with streaming support.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.stream_generate_content

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.streaming_predict

streaming_predict(
    requests: typing.Optional[
        typing.Iterator[
            google.cloud.aiplatform_v1beta1.types.prediction_service.StreamingPredictRequest
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Iterable[
    google.cloud.aiplatform_v1beta1.types.prediction_service.StreamingPredictResponse
]

Perform a streaming online prediction request for Vertex first-party products and frameworks.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.streaming_predict

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.streaming_raw_predict

streaming_raw_predict(
    requests: typing.Optional[
        typing.Iterator[
            google.cloud.aiplatform_v1beta1.types.prediction_service.StreamingRawPredictRequest
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Iterable[
    google.cloud.aiplatform_v1beta1.types.prediction_service.StreamingRawPredictResponse
]

Perform a streaming online prediction request through gRPC.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.streaming_raw_predict

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient

ReasoningEngineExecutionServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.transports.base.ReasoningEngineExecutionServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the reasoning engine execution service async client.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.transports.base.ReasoningEngineExecutionServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.parse_reasoning_engine_path

parse_reasoning_engine_path(path: str) -> typing.Dict[str, str]

Parses a reasoning_engine path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.parse_reasoning_engine_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.query_reasoning_engine

query_reasoning_engine(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.reasoning_engine_execution_service.QueryReasoningEngineRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.reasoning_engine_execution_service.QueryReasoningEngineResponse
)

Queries using a reasoning engine.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.query_reasoning_engine

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.reasoning_engine_path

reasoning_engine_path(project: str, location: str, reasoning_engine: str) -> str

Returns a fully-qualified reasoning_engine string.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.reasoning_engine_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient

ReasoningEngineExecutionServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.transports.base.ReasoningEngineExecutionServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the reasoning engine execution service client.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.exit

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.parse_reasoning_engine_path

parse_reasoning_engine_path(path: str) -> typing.Dict[str, str]

Parses a reasoning_engine path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.parse_reasoning_engine_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.query_reasoning_engine

query_reasoning_engine(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.reasoning_engine_execution_service.QueryReasoningEngineRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.reasoning_engine_execution_service.QueryReasoningEngineResponse
)

Queries using a reasoning engine.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.query_reasoning_engine

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.reasoning_engine_path

reasoning_engine_path(project: str, location: str, reasoning_engine: str) -> str

Returns a fully-qualified reasoning_engine string.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.reasoning_engine_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient

ReasoningEngineServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.transports.base.ReasoningEngineServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the reasoning engine service async client.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.create_reasoning_engine

create_reasoning_engine(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.reasoning_engine_service.CreateReasoningEngineRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    reasoning_engine: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.reasoning_engine.ReasoningEngine
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a reasoning engine.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.create_reasoning_engine

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.delete_reasoning_engine

delete_reasoning_engine(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.reasoning_engine_service.DeleteReasoningEngineRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a reasoning engine.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.delete_reasoning_engine

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.get_reasoning_engine

get_reasoning_engine(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.reasoning_engine_service.GetReasoningEngineRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.reasoning_engine.ReasoningEngine

Gets a reasoning engine.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.get_reasoning_engine

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.transports.base.ReasoningEngineServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.list_reasoning_engines

list_reasoning_engines(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.reasoning_engine_service.ListReasoningEnginesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.pagers.ListReasoningEnginesAsyncPager
)

Lists reasoning engines in a location.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.list_reasoning_engines

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.parse_reasoning_engine_path

parse_reasoning_engine_path(path: str) -> typing.Dict[str, str]

Parses a reasoning_engine path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.parse_reasoning_engine_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.reasoning_engine_path

reasoning_engine_path(project: str, location: str, reasoning_engine: str) -> str

Returns a fully-qualified reasoning_engine string.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.reasoning_engine_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient

ReasoningEngineServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.transports.base.ReasoningEngineServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the reasoning engine service client.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.exit

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.create_reasoning_engine

create_reasoning_engine(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.reasoning_engine_service.CreateReasoningEngineRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    reasoning_engine: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.reasoning_engine.ReasoningEngine
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a reasoning engine.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.create_reasoning_engine

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.delete_reasoning_engine

delete_reasoning_engine(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.reasoning_engine_service.DeleteReasoningEngineRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a reasoning engine.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.delete_reasoning_engine

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.get_reasoning_engine

get_reasoning_engine(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.reasoning_engine_service.GetReasoningEngineRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.reasoning_engine.ReasoningEngine

Gets a reasoning engine.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.get_reasoning_engine

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.list_reasoning_engines

list_reasoning_engines(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.reasoning_engine_service.ListReasoningEnginesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.pagers.ListReasoningEnginesPager
)

Lists reasoning engines in a location.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.list_reasoning_engines

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.parse_reasoning_engine_path

parse_reasoning_engine_path(path: str) -> typing.Dict[str, str]

Parses a reasoning_engine path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.parse_reasoning_engine_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.reasoning_engine_path

reasoning_engine_path(project: str, location: str, reasoning_engine: str) -> str

Returns a fully-qualified reasoning_engine string.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.reasoning_engine_path

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.pagers.ListReasoningEnginesAsyncPager

ListReasoningEnginesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.reasoning_engine_service.ListReasoningEnginesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.reasoning_engine_service.ListReasoningEnginesRequest,
    response: google.cloud.aiplatform_v1beta1.types.reasoning_engine_service.ListReasoningEnginesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.pagers.ListReasoningEnginesAsyncPager

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.pagers.ListReasoningEnginesPager

ListReasoningEnginesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.reasoning_engine_service.ListReasoningEnginesResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.reasoning_engine_service.ListReasoningEnginesRequest,
    response: google.cloud.aiplatform_v1beta1.types.reasoning_engine_service.ListReasoningEnginesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.pagers.ListReasoningEnginesPager

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient

ScheduleServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.schedule_service.transports.base.ScheduleServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the schedule service async client.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.artifact_path

artifact_path(
    project: str, location: str, metadata_store: str, artifact: str
) -> str

Returns a fully-qualified artifact string.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.artifact_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.context_path

context_path(project: str, location: str, metadata_store: str, context: str) -> str

Returns a fully-qualified context string.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.context_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.create_schedule

create_schedule(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.schedule_service.CreateScheduleRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    schedule: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.schedule.Schedule
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.schedule.Schedule

Creates a Schedule.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.create_schedule

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.custom_job_path

custom_job_path(project: str, location: str, custom_job: str) -> str

Returns a fully-qualified custom_job string.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.custom_job_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.delete_schedule

delete_schedule(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.schedule_service.DeleteScheduleRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a Schedule.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.delete_schedule

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.execution_path

execution_path(
    project: str, location: str, metadata_store: str, execution: str
) -> str

Returns a fully-qualified execution string.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.execution_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.get_schedule

get_schedule(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.schedule_service.GetScheduleRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.schedule.Schedule

Gets a Schedule.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.get_schedule

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.schedule_service.transports.base.ScheduleServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.list_schedules

list_schedules(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.schedule_service.ListSchedulesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.schedule_service.pagers.ListSchedulesAsyncPager
)

Lists Schedules in a Location.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.list_schedules

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.network_path

network_path(project: str, network: str) -> str

Returns a fully-qualified network string.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.network_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.parse_artifact_path

parse_artifact_path(path: str) -> typing.Dict[str, str]

Parses a artifact path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.parse_artifact_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.parse_context_path

parse_context_path(path: str) -> typing.Dict[str, str]

Parses a context path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.parse_context_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.parse_custom_job_path

parse_custom_job_path(path: str) -> typing.Dict[str, str]

Parses a custom_job path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.parse_custom_job_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.parse_execution_path

parse_execution_path(path: str) -> typing.Dict[str, str]

Parses a execution path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.parse_execution_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.parse_network_path

parse_network_path(path: str) -> typing.Dict[str, str]

Parses a network path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.parse_network_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.parse_pipeline_job_path

parse_pipeline_job_path(path: str) -> typing.Dict[str, str]

Parses a pipeline_job path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.parse_pipeline_job_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.parse_schedule_path

parse_schedule_path(path: str) -> typing.Dict[str, str]

Parses a schedule path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.parse_schedule_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.pause_schedule

pause_schedule(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.schedule_service.PauseScheduleRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Pauses a Schedule.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.pause_schedule

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.pipeline_job_path

pipeline_job_path(project: str, location: str, pipeline_job: str) -> str

Returns a fully-qualified pipeline_job string.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.pipeline_job_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.resume_schedule

resume_schedule(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.schedule_service.ResumeScheduleRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    catch_up: typing.Optional[bool] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Resumes a paused Schedule to start scheduling new runs.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.resume_schedule

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.schedule_path

schedule_path(project: str, location: str, schedule: str) -> str

Returns a fully-qualified schedule string.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.schedule_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.update_schedule

update_schedule(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.schedule_service.UpdateScheduleRequest,
            dict,
        ]
    ] = None,
    *,
    schedule: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.schedule.Schedule
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.schedule.Schedule

Updates an active or paused Schedule.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.update_schedule

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient

ScheduleServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.schedule_service.transports.base.ScheduleServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the schedule service client.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.exit

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.artifact_path

artifact_path(
    project: str, location: str, metadata_store: str, artifact: str
) -> str

Returns a fully-qualified artifact string.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.artifact_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.context_path

context_path(project: str, location: str, metadata_store: str, context: str) -> str

Returns a fully-qualified context string.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.context_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.create_schedule

create_schedule(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.schedule_service.CreateScheduleRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    schedule: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.schedule.Schedule
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.schedule.Schedule

Creates a Schedule.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.create_schedule

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.custom_job_path

custom_job_path(project: str, location: str, custom_job: str) -> str

Returns a fully-qualified custom_job string.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.custom_job_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.delete_schedule

delete_schedule(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.schedule_service.DeleteScheduleRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a Schedule.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.delete_schedule

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.execution_path

execution_path(
    project: str, location: str, metadata_store: str, execution: str
) -> str

Returns a fully-qualified execution string.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.execution_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.get_schedule

get_schedule(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.schedule_service.GetScheduleRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.schedule.Schedule

Gets a Schedule.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.get_schedule

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.list_schedules

list_schedules(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.schedule_service.ListSchedulesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.schedule_service.pagers.ListSchedulesPager
)

Lists Schedules in a Location.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.list_schedules

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.network_path

network_path(project: str, network: str) -> str

Returns a fully-qualified network string.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.network_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.parse_artifact_path

parse_artifact_path(path: str) -> typing.Dict[str, str]

Parses a artifact path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.parse_artifact_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.parse_context_path

parse_context_path(path: str) -> typing.Dict[str, str]

Parses a context path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.parse_context_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.parse_custom_job_path

parse_custom_job_path(path: str) -> typing.Dict[str, str]

Parses a custom_job path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.parse_custom_job_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.parse_execution_path

parse_execution_path(path: str) -> typing.Dict[str, str]

Parses a execution path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.parse_execution_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.parse_network_path

parse_network_path(path: str) -> typing.Dict[str, str]

Parses a network path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.parse_network_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.parse_pipeline_job_path

parse_pipeline_job_path(path: str) -> typing.Dict[str, str]

Parses a pipeline_job path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.parse_pipeline_job_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.parse_schedule_path

parse_schedule_path(path: str) -> typing.Dict[str, str]

Parses a schedule path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.parse_schedule_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.pause_schedule

pause_schedule(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.schedule_service.PauseScheduleRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Pauses a Schedule.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.pause_schedule

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.pipeline_job_path

pipeline_job_path(project: str, location: str, pipeline_job: str) -> str

Returns a fully-qualified pipeline_job string.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.pipeline_job_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.resume_schedule

resume_schedule(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.schedule_service.ResumeScheduleRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    catch_up: typing.Optional[bool] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Resumes a paused Schedule to start scheduling new runs.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.resume_schedule

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.schedule_path

schedule_path(project: str, location: str, schedule: str) -> str

Returns a fully-qualified schedule string.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.schedule_path

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.update_schedule

update_schedule(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.schedule_service.UpdateScheduleRequest,
            dict,
        ]
    ] = None,
    *,
    schedule: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.schedule.Schedule
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.schedule.Schedule

Updates an active or paused Schedule.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.update_schedule

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.schedule_service.pagers.ListSchedulesAsyncPager

ListSchedulesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.schedule_service.ListSchedulesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.schedule_service.ListSchedulesRequest,
    response: google.cloud.aiplatform_v1beta1.types.schedule_service.ListSchedulesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.pagers.ListSchedulesAsyncPager

google.cloud.aiplatform_v1beta1.services.schedule_service.pagers.ListSchedulesPager

ListSchedulesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.schedule_service.ListSchedulesResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.schedule_service.ListSchedulesRequest,
    response: google.cloud.aiplatform_v1beta1.types.schedule_service.ListSchedulesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.pagers.ListSchedulesPager

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient

SpecialistPoolServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.specialist_pool_service.transports.base.SpecialistPoolServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the specialist pool service async client.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.create_specialist_pool

create_specialist_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.specialist_pool_service.CreateSpecialistPoolRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    specialist_pool: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.specialist_pool.SpecialistPool
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a SpecialistPool.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.create_specialist_pool

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.delete_specialist_pool

delete_specialist_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.specialist_pool_service.DeleteSpecialistPoolRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a SpecialistPool as well as all Specialists in the pool.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.delete_specialist_pool

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.get_specialist_pool

get_specialist_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.specialist_pool_service.GetSpecialistPoolRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.specialist_pool.SpecialistPool

Gets a SpecialistPool.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.get_specialist_pool

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.specialist_pool_service.transports.base.SpecialistPoolServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.list_specialist_pools

list_specialist_pools(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.specialist_pool_service.ListSpecialistPoolsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.specialist_pool_service.pagers.ListSpecialistPoolsAsyncPager
)

Lists SpecialistPools in a Location.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.list_specialist_pools

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.parse_specialist_pool_path

parse_specialist_pool_path(path: str) -> typing.Dict[str, str]

Parses a specialist_pool path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.parse_specialist_pool_path

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.specialist_pool_path

specialist_pool_path(project: str, location: str, specialist_pool: str) -> str

Returns a fully-qualified specialist_pool string.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.specialist_pool_path

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.update_specialist_pool

update_specialist_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.specialist_pool_service.UpdateSpecialistPoolRequest,
            dict,
        ]
    ] = None,
    *,
    specialist_pool: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.specialist_pool.SpecialistPool
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates a SpecialistPool.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.update_specialist_pool

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient

SpecialistPoolServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.specialist_pool_service.transports.base.SpecialistPoolServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the specialist pool service client.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.exit

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.create_specialist_pool

create_specialist_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.specialist_pool_service.CreateSpecialistPoolRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    specialist_pool: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.specialist_pool.SpecialistPool
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a SpecialistPool.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.create_specialist_pool

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.delete_specialist_pool

delete_specialist_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.specialist_pool_service.DeleteSpecialistPoolRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a SpecialistPool as well as all Specialists in the pool.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.delete_specialist_pool

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.get_specialist_pool

get_specialist_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.specialist_pool_service.GetSpecialistPoolRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.specialist_pool.SpecialistPool

Gets a SpecialistPool.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.get_specialist_pool

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.list_specialist_pools

list_specialist_pools(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.specialist_pool_service.ListSpecialistPoolsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.specialist_pool_service.pagers.ListSpecialistPoolsPager
)

Lists SpecialistPools in a Location.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.list_specialist_pools

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.parse_specialist_pool_path

parse_specialist_pool_path(path: str) -> typing.Dict[str, str]

Parses a specialist_pool path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.parse_specialist_pool_path

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.specialist_pool_path

specialist_pool_path(project: str, location: str, specialist_pool: str) -> str

Returns a fully-qualified specialist_pool string.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.specialist_pool_path

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.update_specialist_pool

update_specialist_pool(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.specialist_pool_service.UpdateSpecialistPoolRequest,
            dict,
        ]
    ] = None,
    *,
    specialist_pool: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.specialist_pool.SpecialistPool
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates a SpecialistPool.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.update_specialist_pool

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.pagers.ListSpecialistPoolsAsyncPager

ListSpecialistPoolsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.specialist_pool_service.ListSpecialistPoolsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.specialist_pool_service.ListSpecialistPoolsRequest,
    response: google.cloud.aiplatform_v1beta1.types.specialist_pool_service.ListSpecialistPoolsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.pagers.ListSpecialistPoolsAsyncPager

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.pagers.ListSpecialistPoolsPager

ListSpecialistPoolsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.specialist_pool_service.ListSpecialistPoolsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.specialist_pool_service.ListSpecialistPoolsRequest,
    response: google.cloud.aiplatform_v1beta1.types.specialist_pool_service.ListSpecialistPoolsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.specialist_pool_service.pagers.ListSpecialistPoolsPager

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient

TensorboardServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.tensorboard_service.transports.base.TensorboardServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the tensorboard service async client.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.batch_create_tensorboard_runs

batch_create_tensorboard_runs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.BatchCreateTensorboardRunsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.CreateTensorboardRunRequest
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.tensorboard_service.BatchCreateTensorboardRunsResponse
)

Batch create TensorboardRuns.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.batch_create_tensorboard_runs

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.batch_create_tensorboard_time_series

batch_create_tensorboard_time_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.BatchCreateTensorboardTimeSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.CreateTensorboardTimeSeriesRequest
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.tensorboard_service.BatchCreateTensorboardTimeSeriesResponse
)

Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.batch_create_tensorboard_time_series

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.batch_read_tensorboard_time_series_data

batch_read_tensorboard_time_series_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.BatchReadTensorboardTimeSeriesDataRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.tensorboard_service.BatchReadTensorboardTimeSeriesDataResponse
)

Reads multiple TensorboardTimeSeries' data.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.batch_read_tensorboard_time_series_data

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.create_tensorboard

create_tensorboard(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.CreateTensorboardRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    tensorboard: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.tensorboard.Tensorboard
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a Tensorboard.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.create_tensorboard

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.create_tensorboard_experiment

create_tensorboard_experiment(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.CreateTensorboardExperimentRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    tensorboard_experiment: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.tensorboard_experiment.TensorboardExperiment
    ] = None,
    tensorboard_experiment_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.tensorboard_experiment.TensorboardExperiment

Creates a TensorboardExperiment.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.create_tensorboard_experiment

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.create_tensorboard_run

create_tensorboard_run(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.CreateTensorboardRunRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    tensorboard_run: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.tensorboard_run.TensorboardRun
    ] = None,
    tensorboard_run_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.tensorboard_run.TensorboardRun

Creates a TensorboardRun.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.create_tensorboard_run

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.create_tensorboard_time_series

create_tensorboard_time_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.CreateTensorboardTimeSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    tensorboard_time_series: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.tensorboard_time_series.TensorboardTimeSeries
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.tensorboard_time_series.TensorboardTimeSeries
)

Creates a TensorboardTimeSeries.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.create_tensorboard_time_series

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.delete_tensorboard

delete_tensorboard(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.DeleteTensorboardRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a Tensorboard.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.delete_tensorboard

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.delete_tensorboard_experiment

delete_tensorboard_experiment(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.DeleteTensorboardExperimentRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a TensorboardExperiment.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.delete_tensorboard_experiment

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.delete_tensorboard_run

delete_tensorboard_run(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.DeleteTensorboardRunRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a TensorboardRun.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.delete_tensorboard_run

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.delete_tensorboard_time_series

delete_tensorboard_time_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.DeleteTensorboardTimeSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a TensorboardTimeSeries.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.delete_tensorboard_time_series

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.export_tensorboard_time_series_data

export_tensorboard_time_series_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ExportTensorboardTimeSeriesDataRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_time_series: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ExportTensorboardTimeSeriesDataAsyncPager
)

Exports a TensorboardTimeSeries' data.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.export_tensorboard_time_series_data

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.get_tensorboard

get_tensorboard(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.GetTensorboardRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.tensorboard.Tensorboard

Gets a Tensorboard.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.get_tensorboard

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.get_tensorboard_experiment

get_tensorboard_experiment(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.GetTensorboardExperimentRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.tensorboard_experiment.TensorboardExperiment

Gets a TensorboardExperiment.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.get_tensorboard_experiment

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.get_tensorboard_run

get_tensorboard_run(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.GetTensorboardRunRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.tensorboard_run.TensorboardRun

Gets a TensorboardRun.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.get_tensorboard_run

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.get_tensorboard_time_series

get_tensorboard_time_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.GetTensorboardTimeSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.tensorboard_time_series.TensorboardTimeSeries
)

Gets a TensorboardTimeSeries.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.get_tensorboard_time_series

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.tensorboard_service.transports.base.TensorboardServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.list_tensorboard_experiments

list_tensorboard_experiments(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardExperimentsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ListTensorboardExperimentsAsyncPager
)

Lists TensorboardExperiments in a Location.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.list_tensorboard_experiments

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.list_tensorboard_runs

list_tensorboard_runs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardRunsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ListTensorboardRunsAsyncPager
)

Lists TensorboardRuns in a Location.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.list_tensorboard_runs

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.list_tensorboard_time_series

list_tensorboard_time_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardTimeSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ListTensorboardTimeSeriesAsyncPager
)

Lists TensorboardTimeSeries in a Location.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.list_tensorboard_time_series

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.list_tensorboards

list_tensorboards(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ListTensorboardsAsyncPager
)

Lists Tensorboards in a Location.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.list_tensorboards

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_tensorboard_experiment_path

parse_tensorboard_experiment_path(path: str) -> typing.Dict[str, str]

Parses a tensorboard_experiment path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_tensorboard_experiment_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_tensorboard_path

parse_tensorboard_path(path: str) -> typing.Dict[str, str]

Parses a tensorboard path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_tensorboard_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_tensorboard_run_path

parse_tensorboard_run_path(path: str) -> typing.Dict[str, str]

Parses a tensorboard_run path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_tensorboard_run_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_tensorboard_time_series_path

parse_tensorboard_time_series_path(path: str) -> typing.Dict[str, str]

Parses a tensorboard_time_series path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.parse_tensorboard_time_series_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.read_tensorboard_blob_data

read_tensorboard_blob_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ReadTensorboardBlobDataRequest,
            dict,
        ]
    ] = None,
    *,
    time_series: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Awaitable[
    typing.AsyncIterable[
        google.cloud.aiplatform_v1beta1.types.tensorboard_service.ReadTensorboardBlobDataResponse
    ]
]

Gets bytes of TensorboardBlobs.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.read_tensorboard_blob_data

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.read_tensorboard_size

read_tensorboard_size(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ReadTensorboardSizeRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.tensorboard_service.ReadTensorboardSizeResponse
)

Returns the storage size for a given TensorBoard instance.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.read_tensorboard_size

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.read_tensorboard_time_series_data

read_tensorboard_time_series_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ReadTensorboardTimeSeriesDataRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_time_series: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.tensorboard_service.ReadTensorboardTimeSeriesDataResponse
)

Reads a TensorboardTimeSeries' data.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.read_tensorboard_time_series_data

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.read_tensorboard_usage

read_tensorboard_usage(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ReadTensorboardUsageRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.tensorboard_service.ReadTensorboardUsageResponse
)

Returns a list of monthly active users for a given TensorBoard instance.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.read_tensorboard_usage

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.tensorboard_experiment_path

tensorboard_experiment_path(
    project: str, location: str, tensorboard: str, experiment: str
) -> str

Returns a fully-qualified tensorboard_experiment string.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.tensorboard_experiment_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.tensorboard_path

tensorboard_path(project: str, location: str, tensorboard: str) -> str

Returns a fully-qualified tensorboard string.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.tensorboard_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.tensorboard_run_path

tensorboard_run_path(
    project: str, location: str, tensorboard: str, experiment: str, run: str
) -> str

Returns a fully-qualified tensorboard_run string.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.tensorboard_run_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.tensorboard_time_series_path

tensorboard_time_series_path(
    project: str,
    location: str,
    tensorboard: str,
    experiment: str,
    run: str,
    time_series: str,
) -> str

Returns a fully-qualified tensorboard_time_series string.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.tensorboard_time_series_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.update_tensorboard

update_tensorboard(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.UpdateTensorboardRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.tensorboard.Tensorboard
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates a Tensorboard.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.update_tensorboard

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.update_tensorboard_experiment

update_tensorboard_experiment(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.UpdateTensorboardExperimentRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_experiment: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.tensorboard_experiment.TensorboardExperiment
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.tensorboard_experiment.TensorboardExperiment

Updates a TensorboardExperiment.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.update_tensorboard_experiment

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.update_tensorboard_run

update_tensorboard_run(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.UpdateTensorboardRunRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_run: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.tensorboard_run.TensorboardRun
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.tensorboard_run.TensorboardRun

Updates a TensorboardRun.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.update_tensorboard_run

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.update_tensorboard_time_series

update_tensorboard_time_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.UpdateTensorboardTimeSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_time_series: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.tensorboard_time_series.TensorboardTimeSeries
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.tensorboard_time_series.TensorboardTimeSeries
)

Updates a TensorboardTimeSeries.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.update_tensorboard_time_series

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.write_tensorboard_experiment_data

write_tensorboard_experiment_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.WriteTensorboardExperimentDataRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_experiment: typing.Optional[str] = None,
    write_run_data_requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.WriteTensorboardRunDataRequest
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.tensorboard_service.WriteTensorboardExperimentDataResponse
)

Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.write_tensorboard_experiment_data

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.write_tensorboard_run_data

write_tensorboard_run_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.WriteTensorboardRunDataRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_run: typing.Optional[str] = None,
    time_series_data: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1beta1.types.tensorboard_data.TimeSeriesData
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.tensorboard_service.WriteTensorboardRunDataResponse
)

Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.write_tensorboard_run_data

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient

TensorboardServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.tensorboard_service.transports.base.TensorboardServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the tensorboard service client.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.exit

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.batch_create_tensorboard_runs

batch_create_tensorboard_runs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.BatchCreateTensorboardRunsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.CreateTensorboardRunRequest
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.tensorboard_service.BatchCreateTensorboardRunsResponse
)

Batch create TensorboardRuns.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.batch_create_tensorboard_runs

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.batch_create_tensorboard_time_series

batch_create_tensorboard_time_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.BatchCreateTensorboardTimeSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.CreateTensorboardTimeSeriesRequest
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.tensorboard_service.BatchCreateTensorboardTimeSeriesResponse
)

Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.batch_create_tensorboard_time_series

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.batch_read_tensorboard_time_series_data

batch_read_tensorboard_time_series_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.BatchReadTensorboardTimeSeriesDataRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.tensorboard_service.BatchReadTensorboardTimeSeriesDataResponse
)

Reads multiple TensorboardTimeSeries' data.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.batch_read_tensorboard_time_series_data

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.create_tensorboard

create_tensorboard(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.CreateTensorboardRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    tensorboard: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.tensorboard.Tensorboard
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a Tensorboard.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.create_tensorboard

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.create_tensorboard_experiment

create_tensorboard_experiment(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.CreateTensorboardExperimentRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    tensorboard_experiment: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.tensorboard_experiment.TensorboardExperiment
    ] = None,
    tensorboard_experiment_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.tensorboard_experiment.TensorboardExperiment

Creates a TensorboardExperiment.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.create_tensorboard_experiment

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.create_tensorboard_run

create_tensorboard_run(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.CreateTensorboardRunRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    tensorboard_run: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.tensorboard_run.TensorboardRun
    ] = None,
    tensorboard_run_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.tensorboard_run.TensorboardRun

Creates a TensorboardRun.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.create_tensorboard_run

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.create_tensorboard_time_series

create_tensorboard_time_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.CreateTensorboardTimeSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    tensorboard_time_series: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.tensorboard_time_series.TensorboardTimeSeries
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.tensorboard_time_series.TensorboardTimeSeries
)

Creates a TensorboardTimeSeries.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.create_tensorboard_time_series

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.delete_tensorboard

delete_tensorboard(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.DeleteTensorboardRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a Tensorboard.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.delete_tensorboard

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.delete_tensorboard_experiment

delete_tensorboard_experiment(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.DeleteTensorboardExperimentRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a TensorboardExperiment.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.delete_tensorboard_experiment

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.delete_tensorboard_run

delete_tensorboard_run(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.DeleteTensorboardRunRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a TensorboardRun.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.delete_tensorboard_run

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.delete_tensorboard_time_series

delete_tensorboard_time_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.DeleteTensorboardTimeSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a TensorboardTimeSeries.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.delete_tensorboard_time_series

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.export_tensorboard_time_series_data

export_tensorboard_time_series_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ExportTensorboardTimeSeriesDataRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_time_series: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ExportTensorboardTimeSeriesDataPager
)

Exports a TensorboardTimeSeries' data.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.export_tensorboard_time_series_data

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.get_tensorboard

get_tensorboard(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.GetTensorboardRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.tensorboard.Tensorboard

Gets a Tensorboard.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.get_tensorboard

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.get_tensorboard_experiment

get_tensorboard_experiment(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.GetTensorboardExperimentRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.tensorboard_experiment.TensorboardExperiment

Gets a TensorboardExperiment.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.get_tensorboard_experiment

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.get_tensorboard_run

get_tensorboard_run(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.GetTensorboardRunRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.tensorboard_run.TensorboardRun

Gets a TensorboardRun.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.get_tensorboard_run

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.get_tensorboard_time_series

get_tensorboard_time_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.GetTensorboardTimeSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.tensorboard_time_series.TensorboardTimeSeries
)

Gets a TensorboardTimeSeries.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.get_tensorboard_time_series

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.list_tensorboard_experiments

list_tensorboard_experiments(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardExperimentsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ListTensorboardExperimentsPager
)

Lists TensorboardExperiments in a Location.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.list_tensorboard_experiments

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.list_tensorboard_runs

list_tensorboard_runs(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardRunsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ListTensorboardRunsPager
)

Lists TensorboardRuns in a Location.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.list_tensorboard_runs

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.list_tensorboard_time_series

list_tensorboard_time_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardTimeSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ListTensorboardTimeSeriesPager
)

Lists TensorboardTimeSeries in a Location.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.list_tensorboard_time_series

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.list_tensorboards

list_tensorboards(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ListTensorboardsPager
)

Lists Tensorboards in a Location.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.list_tensorboards

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.parse_tensorboard_experiment_path

parse_tensorboard_experiment_path(path: str) -> typing.Dict[str, str]

Parses a tensorboard_experiment path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.parse_tensorboard_experiment_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.parse_tensorboard_path

parse_tensorboard_path(path: str) -> typing.Dict[str, str]

Parses a tensorboard path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.parse_tensorboard_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.parse_tensorboard_run_path

parse_tensorboard_run_path(path: str) -> typing.Dict[str, str]

Parses a tensorboard_run path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.parse_tensorboard_run_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.parse_tensorboard_time_series_path

parse_tensorboard_time_series_path(path: str) -> typing.Dict[str, str]

Parses a tensorboard_time_series path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.parse_tensorboard_time_series_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.read_tensorboard_blob_data

read_tensorboard_blob_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ReadTensorboardBlobDataRequest,
            dict,
        ]
    ] = None,
    *,
    time_series: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> typing.Iterable[
    google.cloud.aiplatform_v1beta1.types.tensorboard_service.ReadTensorboardBlobDataResponse
]

Gets bytes of TensorboardBlobs.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.read_tensorboard_blob_data

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.read_tensorboard_size

read_tensorboard_size(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ReadTensorboardSizeRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.tensorboard_service.ReadTensorboardSizeResponse
)

Returns the storage size for a given TensorBoard instance.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.read_tensorboard_size

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.read_tensorboard_time_series_data

read_tensorboard_time_series_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ReadTensorboardTimeSeriesDataRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_time_series: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.tensorboard_service.ReadTensorboardTimeSeriesDataResponse
)

Reads a TensorboardTimeSeries' data.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.read_tensorboard_time_series_data

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.read_tensorboard_usage

read_tensorboard_usage(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ReadTensorboardUsageRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.tensorboard_service.ReadTensorboardUsageResponse
)

Returns a list of monthly active users for a given TensorBoard instance.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.read_tensorboard_usage

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.tensorboard_experiment_path

tensorboard_experiment_path(
    project: str, location: str, tensorboard: str, experiment: str
) -> str

Returns a fully-qualified tensorboard_experiment string.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.tensorboard_experiment_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.tensorboard_path

tensorboard_path(project: str, location: str, tensorboard: str) -> str

Returns a fully-qualified tensorboard string.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.tensorboard_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.tensorboard_run_path

tensorboard_run_path(
    project: str, location: str, tensorboard: str, experiment: str, run: str
) -> str

Returns a fully-qualified tensorboard_run string.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.tensorboard_run_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.tensorboard_time_series_path

tensorboard_time_series_path(
    project: str,
    location: str,
    tensorboard: str,
    experiment: str,
    run: str,
    time_series: str,
) -> str

Returns a fully-qualified tensorboard_time_series string.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.tensorboard_time_series_path

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.update_tensorboard

update_tensorboard(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.UpdateTensorboardRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.tensorboard.Tensorboard
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Updates a Tensorboard.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.update_tensorboard

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.update_tensorboard_experiment

update_tensorboard_experiment(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.UpdateTensorboardExperimentRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_experiment: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.tensorboard_experiment.TensorboardExperiment
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.tensorboard_experiment.TensorboardExperiment

Updates a TensorboardExperiment.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.update_tensorboard_experiment

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.update_tensorboard_run

update_tensorboard_run(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.UpdateTensorboardRunRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_run: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.tensorboard_run.TensorboardRun
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.tensorboard_run.TensorboardRun

Updates a TensorboardRun.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.update_tensorboard_run

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.update_tensorboard_time_series

update_tensorboard_time_series(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.UpdateTensorboardTimeSeriesRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_time_series: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.tensorboard_time_series.TensorboardTimeSeries
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.tensorboard_time_series.TensorboardTimeSeries
)

Updates a TensorboardTimeSeries.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.update_tensorboard_time_series

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.write_tensorboard_experiment_data

write_tensorboard_experiment_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.WriteTensorboardExperimentDataRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_experiment: typing.Optional[str] = None,
    write_run_data_requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.WriteTensorboardRunDataRequest
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.tensorboard_service.WriteTensorboardExperimentDataResponse
)

Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.write_tensorboard_experiment_data

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.write_tensorboard_run_data

write_tensorboard_run_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.WriteTensorboardRunDataRequest,
            dict,
        ]
    ] = None,
    *,
    tensorboard_run: typing.Optional[str] = None,
    time_series_data: typing.Optional[
        typing.MutableSequence[
            google.cloud.aiplatform_v1beta1.types.tensorboard_data.TimeSeriesData
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.tensorboard_service.WriteTensorboardRunDataResponse
)

Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.write_tensorboard_run_data

google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ExportTensorboardTimeSeriesDataAsyncPager

ExportTensorboardTimeSeriesDataAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ExportTensorboardTimeSeriesDataResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ExportTensorboardTimeSeriesDataRequest,
    response: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ExportTensorboardTimeSeriesDataResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ExportTensorboardTimeSeriesDataAsyncPager

google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ExportTensorboardTimeSeriesDataPager

ExportTensorboardTimeSeriesDataPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.tensorboard_service.ExportTensorboardTimeSeriesDataResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ExportTensorboardTimeSeriesDataRequest,
    response: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ExportTensorboardTimeSeriesDataResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ExportTensorboardTimeSeriesDataPager

google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ListTensorboardExperimentsAsyncPager

ListTensorboardExperimentsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardExperimentsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardExperimentsRequest,
    response: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardExperimentsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ListTensorboardExperimentsAsyncPager

google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ListTensorboardExperimentsPager

ListTensorboardExperimentsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardExperimentsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardExperimentsRequest,
    response: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardExperimentsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ListTensorboardExperimentsPager

google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ListTensorboardRunsAsyncPager

ListTensorboardRunsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardRunsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardRunsRequest,
    response: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardRunsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ListTensorboardRunsAsyncPager

google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ListTensorboardRunsPager

ListTensorboardRunsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardRunsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardRunsRequest,
    response: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardRunsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ListTensorboardRunsPager

google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ListTensorboardTimeSeriesAsyncPager

ListTensorboardTimeSeriesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardTimeSeriesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardTimeSeriesRequest,
    response: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardTimeSeriesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ListTensorboardTimeSeriesAsyncPager

google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ListTensorboardTimeSeriesPager

ListTensorboardTimeSeriesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardTimeSeriesResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardTimeSeriesRequest,
    response: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardTimeSeriesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ListTensorboardTimeSeriesPager

google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ListTensorboardsAsyncPager

ListTensorboardsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardsRequest,
    response: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ListTensorboardsAsyncPager

google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ListTensorboardsPager

ListTensorboardsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardsRequest,
    response: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.pagers.ListTensorboardsPager

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient

VertexRagDataServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.transports.base.VertexRagDataServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the vertex rag data service async client.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.create_rag_corpus

create_rag_corpus(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.CreateRagCorpusRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    rag_corpus: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.vertex_rag_data.RagCorpus
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a RagCorpus.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.create_rag_corpus

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.delete_rag_corpus

delete_rag_corpus(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.DeleteRagCorpusRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a RagCorpus.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.delete_rag_corpus

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.delete_rag_file

delete_rag_file(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.DeleteRagFileRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a RagFile.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.delete_rag_file

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.get_rag_corpus

get_rag_corpus(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.GetRagCorpusRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.vertex_rag_data.RagCorpus

Gets a RagCorpus.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.get_rag_corpus

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.get_rag_file

get_rag_file(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.GetRagFileRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.vertex_rag_data.RagFile

Gets a RagFile.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.get_rag_file

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.transports.base.VertexRagDataServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.import_rag_files

import_rag_files(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ImportRagFilesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    import_rag_files_config: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.vertex_rag_data.ImportRagFilesConfig
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Import files from Google Cloud Storage or Google Drive into a RagCorpus.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.import_rag_files

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.list_rag_corpora

list_rag_corpora(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagCorporaRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.pagers.ListRagCorporaAsyncPager
)

Lists RagCorpora in a Location.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.list_rag_corpora

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.list_rag_files

list_rag_files(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagFilesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.pagers.ListRagFilesAsyncPager
)

Lists RagFiles in a RagCorpus.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.list_rag_files

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.parse_rag_corpus_path

parse_rag_corpus_path(path: str) -> typing.Dict[str, str]

Parses a rag_corpus path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.parse_rag_corpus_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.parse_rag_file_path

parse_rag_file_path(path: str) -> typing.Dict[str, str]

Parses a rag_file path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.parse_rag_file_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.rag_corpus_path

rag_corpus_path(project: str, location: str, rag_corpus: str) -> str

Returns a fully-qualified rag_corpus string.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.rag_corpus_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.rag_file_path

rag_file_path(project: str, location: str, rag_corpus: str, rag_file: str) -> str

Returns a fully-qualified rag_file string.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.rag_file_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.upload_rag_file

upload_rag_file(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.UploadRagFileRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    rag_file: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.vertex_rag_data.RagFile
    ] = None,
    upload_rag_file_config: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.vertex_rag_data.UploadRagFileConfig
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.UploadRagFileResponse
)

Upload a file into a RagCorpus.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.upload_rag_file

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient

VertexRagDataServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.transports.base.VertexRagDataServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the vertex rag data service client.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.exit

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.create_rag_corpus

create_rag_corpus(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.CreateRagCorpusRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    rag_corpus: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.vertex_rag_data.RagCorpus
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Creates a RagCorpus.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.create_rag_corpus

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.delete_rag_corpus

delete_rag_corpus(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.DeleteRagCorpusRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a RagCorpus.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.delete_rag_corpus

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.delete_rag_file

delete_rag_file(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.DeleteRagFileRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Deletes a RagFile.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.delete_rag_file

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.get_rag_corpus

get_rag_corpus(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.GetRagCorpusRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.vertex_rag_data.RagCorpus

Gets a RagCorpus.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.get_rag_corpus

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.get_rag_file

get_rag_file(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.GetRagFileRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.vertex_rag_data.RagFile

Gets a RagFile.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.get_rag_file

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.import_rag_files

import_rag_files(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ImportRagFilesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    import_rag_files_config: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.vertex_rag_data.ImportRagFilesConfig
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Import files from Google Cloud Storage or Google Drive into a RagCorpus.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.import_rag_files

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.list_rag_corpora

list_rag_corpora(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagCorporaRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.pagers.ListRagCorporaPager
)

Lists RagCorpora in a Location.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.list_rag_corpora

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.list_rag_files

list_rag_files(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagFilesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.pagers.ListRagFilesPager
)

Lists RagFiles in a RagCorpus.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.list_rag_files

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.parse_rag_corpus_path

parse_rag_corpus_path(path: str) -> typing.Dict[str, str]

Parses a rag_corpus path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.parse_rag_corpus_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.parse_rag_file_path

parse_rag_file_path(path: str) -> typing.Dict[str, str]

Parses a rag_file path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.parse_rag_file_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.rag_corpus_path

rag_corpus_path(project: str, location: str, rag_corpus: str) -> str

Returns a fully-qualified rag_corpus string.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.rag_corpus_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.rag_file_path

rag_file_path(project: str, location: str, rag_corpus: str, rag_file: str) -> str

Returns a fully-qualified rag_file string.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.rag_file_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.upload_rag_file

upload_rag_file(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.UploadRagFileRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    rag_file: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.vertex_rag_data.RagFile
    ] = None,
    upload_rag_file_config: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.vertex_rag_data.UploadRagFileConfig
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.UploadRagFileResponse
)

Upload a file into a RagCorpus.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.upload_rag_file

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.pagers.ListRagCorporaAsyncPager

ListRagCorporaAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagCorporaResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagCorporaRequest,
    response: google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagCorporaResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.pagers.ListRagCorporaAsyncPager

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.pagers.ListRagCorporaPager

ListRagCorporaPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagCorporaResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagCorporaRequest,
    response: google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagCorporaResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.pagers.ListRagCorporaPager

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.pagers.ListRagFilesAsyncPager

ListRagFilesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagFilesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagFilesRequest,
    response: google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagFilesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.pagers.ListRagFilesAsyncPager

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.pagers.ListRagFilesPager

ListRagFilesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagFilesResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagFilesRequest,
    response: google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagFilesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.pagers.ListRagFilesPager

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient

VertexRagServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.vertex_rag_service.transports.base.VertexRagServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the vertex rag service async client.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.vertex_rag_service.transports.base.VertexRagServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.retrieve_contexts

retrieve_contexts(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vertex_rag_service.RetrieveContextsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    query: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.vertex_rag_service.RagQuery
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.vertex_rag_service.RetrieveContextsResponse

Retrieves relevant contexts for a query.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.retrieve_contexts

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient

VertexRagServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.vertex_rag_service.transports.base.VertexRagServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the vertex rag service client.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.exit

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.retrieve_contexts

retrieve_contexts(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vertex_rag_service.RetrieveContextsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    query: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.vertex_rag_service.RagQuery
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.vertex_rag_service.RetrieveContextsResponse

Retrieves relevant contexts for a query.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.retrieve_contexts

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient

VizierServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.vizier_service.transports.base.VizierServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the vizier service async client.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.add_trial_measurement

add_trial_measurement(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.AddTrialMeasurementRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.study.Trial

Adds a measurement of the objective metrics to a Trial.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.add_trial_measurement

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.check_trial_early_stopping_state

check_trial_early_stopping_state(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.CheckTrialEarlyStoppingStateRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Checks whether a Trial should stop or not.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.check_trial_early_stopping_state

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.common_location_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.common_project_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.complete_trial

complete_trial(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.CompleteTrialRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.study.Trial

Marks a Trial as complete.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.complete_trial

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.create_study

create_study(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.CreateStudyRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    study: typing.Optional[google.cloud.aiplatform_v1beta1.types.study.Study] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.study.Study

Creates a Study.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.create_study

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.create_trial

create_trial(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.CreateTrialRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    trial: typing.Optional[google.cloud.aiplatform_v1beta1.types.study.Trial] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.study.Trial

Adds a user provided Trial to a Study.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.create_trial

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.custom_job_path

custom_job_path(project: str, location: str, custom_job: str) -> str

Returns a fully-qualified custom_job string.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.custom_job_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.delete_operation

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.delete_study

delete_study(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.DeleteStudyRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a Study.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.delete_study

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.delete_trial

delete_trial(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.DeleteTrialRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a Trial.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.delete_trial

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.get_location

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.get_operation

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.get_study

get_study(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.GetStudyRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.study.Study

Gets a Study by name.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.get_study

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.vizier_service.transports.base.VizierServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.get_transport_class

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.get_trial

get_trial(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.GetTrialRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.study.Trial

Gets a Trial.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.get_trial

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.list_locations

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.list_operations

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.list_optimal_trials

list_optimal_trials(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.ListOptimalTrialsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.vizier_service.ListOptimalTrialsResponse

Lists the pareto-optimal Trials for multi-objective Study or the optimal Trials for single-objective Study.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.list_optimal_trials

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.list_studies

list_studies(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.ListStudiesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.vizier_service.pagers.ListStudiesAsyncPager
)

Lists all the studies in a region for an associated project.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.list_studies

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.list_trials

list_trials(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.ListTrialsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.vizier_service.pagers.ListTrialsAsyncPager
)

Lists the Trials associated with a Study.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.list_trials

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.lookup_study

lookup_study(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.LookupStudyRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.study.Study

Looks a study up using the user-defined display_name field instead of the fully qualified resource name.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.lookup_study

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.parse_custom_job_path

parse_custom_job_path(path: str) -> typing.Dict[str, str]

Parses a custom_job path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.parse_custom_job_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.parse_study_path

parse_study_path(path: str) -> typing.Dict[str, str]

Parses a study path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.parse_study_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.parse_trial_path

parse_trial_path(path: str) -> typing.Dict[str, str]

Parses a trial path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.parse_trial_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.stop_trial

stop_trial(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.StopTrialRequest, dict
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.study.Trial

Stops a Trial.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.stop_trial

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.study_path

study_path(project: str, location: str, study: str) -> str

Returns a fully-qualified study string.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.study_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.suggest_trials

suggest_trials(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.SuggestTrialsRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Adds one or more Trials to a Study, with parameter values suggested by Vertex AI Vizier.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.suggest_trials

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.trial_path

trial_path(project: str, location: str, study: str, trial: str) -> str

Returns a fully-qualified trial string.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.trial_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.wait_operation

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient

VizierServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.aiplatform_v1beta1.services.vizier_service.transports.base.VizierServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = 

Instantiates the vizier service client.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.exit

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.add_trial_measurement

add_trial_measurement(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.AddTrialMeasurementRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.study.Trial

Adds a measurement of the objective metrics to a Trial.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.add_trial_measurement

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.cancel_operation

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.check_trial_early_stopping_state

check_trial_early_stopping_state(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.CheckTrialEarlyStoppingStateRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Checks whether a Trial should stop or not.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.check_trial_early_stopping_state

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.common_billing_account_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.common_folder_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.common_location_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.common_organization_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.common_project_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.complete_trial

complete_trial(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.CompleteTrialRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.study.Trial

Marks a Trial as complete.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.complete_trial

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.create_study

create_study(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.CreateStudyRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    study: typing.Optional[google.cloud.aiplatform_v1beta1.types.study.Study] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.study.Study

Creates a Study.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.create_study

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.create_trial

create_trial(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.CreateTrialRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    trial: typing.Optional[google.cloud.aiplatform_v1beta1.types.study.Trial] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.study.Trial

Adds a user provided Trial to a Study.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.create_trial

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.custom_job_path

custom_job_path(project: str, location: str, custom_job: str) -> str

Returns a fully-qualified custom_job string.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.custom_job_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.delete_operation

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.delete_study

delete_study(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.DeleteStudyRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a Study.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.delete_study

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.delete_trial

delete_trial(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.DeleteTrialRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a Trial.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.delete_trial

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.from_service_account_file

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.from_service_account_info

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.from_service_account_json

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.get_iam_policy

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.get_location

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.get_operation

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.get_study

get_study(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.GetStudyRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.study.Study

Gets a Study by name.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.get_study

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.get_trial

get_trial(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.GetTrialRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.study.Trial

Gets a Trial.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.get_trial

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.list_locations

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.list_operations

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.list_optimal_trials

list_optimal_trials(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.ListOptimalTrialsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.vizier_service.ListOptimalTrialsResponse

Lists the pareto-optimal Trials for multi-objective Study or the optimal Trials for single-objective Study.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.list_optimal_trials

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.list_studies

list_studies(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.ListStudiesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.services.vizier_service.pagers.ListStudiesPager

Lists all the studies in a region for an associated project.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.list_studies

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.list_trials

list_trials(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.ListTrialsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.services.vizier_service.pagers.ListTrialsPager

Lists the Trials associated with a Study.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.list_trials

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.lookup_study

lookup_study(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.LookupStudyRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.study.Study

Looks a study up using the user-defined display_name field instead of the fully qualified resource name.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.lookup_study

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.parse_common_billing_account_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.parse_common_folder_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.parse_common_location_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.parse_common_organization_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.parse_common_project_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.parse_custom_job_path

parse_custom_job_path(path: str) -> typing.Dict[str, str]

Parses a custom_job path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.parse_custom_job_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.parse_study_path

parse_study_path(path: str) -> typing.Dict[str, str]

Parses a study path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.parse_study_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.parse_trial_path

parse_trial_path(path: str) -> typing.Dict[str, str]

Parses a trial path into its component segments.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.parse_trial_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.set_iam_policy

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.stop_trial

stop_trial(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.StopTrialRequest, dict
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.study.Trial

Stops a Trial.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.stop_trial

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.study_path

study_path(project: str, location: str, study: str) -> str

Returns a fully-qualified study string.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.study_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.suggest_trials

suggest_trials(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.vizier_service.SuggestTrialsRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Adds one or more Trials to a Study, with parameter values suggested by Vertex AI Vizier.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.suggest_trials

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.test_iam_permissions

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.trial_path

trial_path(project: str, location: str, study: str, trial: str) -> str

Returns a fully-qualified trial string.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.trial_path

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.wait_operation

google.cloud.aiplatform_v1beta1.services.vizier_service.pagers.ListStudiesAsyncPager

ListStudiesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.vizier_service.ListStudiesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.vizier_service.ListStudiesRequest,
    response: google.cloud.aiplatform_v1beta1.types.vizier_service.ListStudiesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.pagers.ListStudiesAsyncPager

google.cloud.aiplatform_v1beta1.services.vizier_service.pagers.ListStudiesPager

ListStudiesPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1beta1.types.vizier_service.ListStudiesResponse
    ],
    request: google.cloud.aiplatform_v1beta1.types.vizier_service.ListStudiesRequest,
    response: google.cloud.aiplatform_v1beta1.types.vizier_service.ListStudiesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.pagers.ListStudiesPager

google.cloud.aiplatform_v1beta1.services.vizier_service.pagers.ListTrialsAsyncPager

ListTrialsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.vizier_service.ListTrialsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.vizier_service.ListTrialsRequest,
    response: google.cloud.aiplatform_v1beta1.types.vizier_service.ListTrialsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.pagers.ListTrialsAsyncPager

google.cloud.aiplatform_v1beta1.services.vizier_service.pagers.ListTrialsPager

ListTrialsPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1beta1.types.vizier_service.ListTrialsResponse
    ],
    request: google.cloud.aiplatform_v1beta1.types.vizier_service.ListTrialsRequest,
    response: google.cloud.aiplatform_v1beta1.types.vizier_service.ListTrialsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.pagers.ListTrialsPager

google.cloud.aiplatform_v1beta1.types.AcceleratorType

AcceleratorType(value)

Represents a hardware accelerator type.

See more: google.cloud.aiplatform_v1beta1.types.AcceleratorType

google.cloud.aiplatform_v1beta1.types.ActiveLearningConfig

ActiveLearningConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Parameters that configure the active learning pipeline.

See more: google.cloud.aiplatform_v1beta1.types.ActiveLearningConfig

google.cloud.aiplatform_v1beta1.types.AddContextArtifactsAndExecutionsRequest

AddContextArtifactsAndExecutionsRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for MetadataService.AddContextArtifactsAndExecutions.

See more: google.cloud.aiplatform_v1beta1.types.AddContextArtifactsAndExecutionsRequest

google.cloud.aiplatform_v1beta1.types.AddContextArtifactsAndExecutionsResponse

AddContextArtifactsAndExecutionsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for MetadataService.AddContextArtifactsAndExecutions.

See more: google.cloud.aiplatform_v1beta1.types.AddContextArtifactsAndExecutionsResponse

google.cloud.aiplatform_v1beta1.types.AddContextChildrenRequest

AddContextChildrenRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.AddContextChildren.

See more: google.cloud.aiplatform_v1beta1.types.AddContextChildrenRequest

google.cloud.aiplatform_v1beta1.types.AddContextChildrenResponse

AddContextChildrenResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for MetadataService.AddContextChildren.

See more: google.cloud.aiplatform_v1beta1.types.AddContextChildrenResponse

google.cloud.aiplatform_v1beta1.types.AddExecutionEventsRequest

AddExecutionEventsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.AddExecutionEvents.

See more: google.cloud.aiplatform_v1beta1.types.AddExecutionEventsRequest

google.cloud.aiplatform_v1beta1.types.AddExecutionEventsResponse

AddExecutionEventsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for MetadataService.AddExecutionEvents.

See more: google.cloud.aiplatform_v1beta1.types.AddExecutionEventsResponse

google.cloud.aiplatform_v1beta1.types.AddTrialMeasurementRequest

AddTrialMeasurementRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.AddTrialMeasurement.

See more: google.cloud.aiplatform_v1beta1.types.AddTrialMeasurementRequest

google.cloud.aiplatform_v1beta1.types.Annotation

Annotation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Used to assign specific AnnotationSpec to a particular area of a DataItem or the whole part of the DataItem.

See more: google.cloud.aiplatform_v1beta1.types.Annotation

google.cloud.aiplatform_v1beta1.types.Annotation.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.Annotation.LabelsEntry

google.cloud.aiplatform_v1beta1.types.AnnotationSpec

AnnotationSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Identifies a concept with which DataItems may be annotated with.

See more: google.cloud.aiplatform_v1beta1.types.AnnotationSpec

google.cloud.aiplatform_v1beta1.types.Artifact

Artifact(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Instance of a general artifact.

See more: google.cloud.aiplatform_v1beta1.types.Artifact

google.cloud.aiplatform_v1beta1.types.Artifact.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.Artifact.LabelsEntry

google.cloud.aiplatform_v1beta1.types.Artifact.State

State(value)

Describes the state of the Artifact.

See more: google.cloud.aiplatform_v1beta1.types.Artifact.State

google.cloud.aiplatform_v1beta1.types.AssignNotebookRuntimeOperationMetadata

AssignNotebookRuntimeOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Metadata information for NotebookService.AssignNotebookRuntime.

See more: google.cloud.aiplatform_v1beta1.types.AssignNotebookRuntimeOperationMetadata

google.cloud.aiplatform_v1beta1.types.AssignNotebookRuntimeRequest

AssignNotebookRuntimeRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for NotebookService.AssignNotebookRuntime.

See more: google.cloud.aiplatform_v1beta1.types.AssignNotebookRuntimeRequest

google.cloud.aiplatform_v1beta1.types.Attribution

Attribution(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Attribution that explains a particular prediction output.

See more: google.cloud.aiplatform_v1beta1.types.Attribution

google.cloud.aiplatform_v1beta1.types.AuthConfig

AuthConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Auth configuration to run the extension.

See more: google.cloud.aiplatform_v1beta1.types.AuthConfig

google.cloud.aiplatform_v1beta1.types.AuthConfig.ApiKeyConfig

ApiKeyConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Config for authentication with API key.

See more: google.cloud.aiplatform_v1beta1.types.AuthConfig.ApiKeyConfig

google.cloud.aiplatform_v1beta1.types.AuthConfig.GoogleServiceAccountConfig

GoogleServiceAccountConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Config for Google Service Account Authentication.

See more: google.cloud.aiplatform_v1beta1.types.AuthConfig.GoogleServiceAccountConfig

google.cloud.aiplatform_v1beta1.types.AuthConfig.HttpBasicAuthConfig

HttpBasicAuthConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Config for HTTP Basic Authentication.

See more: google.cloud.aiplatform_v1beta1.types.AuthConfig.HttpBasicAuthConfig

google.cloud.aiplatform_v1beta1.types.AuthConfig.OauthConfig

OauthConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Config for user oauth.

See more: google.cloud.aiplatform_v1beta1.types.AuthConfig.OauthConfig

google.cloud.aiplatform_v1beta1.types.AuthConfig.OidcConfig

OidcConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Config for user OIDC auth.

See more: google.cloud.aiplatform_v1beta1.types.AuthConfig.OidcConfig

google.cloud.aiplatform_v1beta1.types.AuthType

AuthType(value)

Type of Auth.

See more: google.cloud.aiplatform_v1beta1.types.AuthType

google.cloud.aiplatform_v1beta1.types.AutomaticResources

AutomaticResources(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.

See more: google.cloud.aiplatform_v1beta1.types.AutomaticResources

google.cloud.aiplatform_v1beta1.types.AutoscalingMetricSpec

AutoscalingMetricSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The metric specification that defines the target resource utilization (CPU utilization, accelerator's duty cycle, and so on) for calculating the desired replica count.

See more: google.cloud.aiplatform_v1beta1.types.AutoscalingMetricSpec

google.cloud.aiplatform_v1beta1.types.AvroSource

AvroSource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The storage details for Avro input content.

See more: google.cloud.aiplatform_v1beta1.types.AvroSource

google.cloud.aiplatform_v1beta1.types.BatchCancelPipelineJobsOperationMetadata

BatchCancelPipelineJobsOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for PipelineService.BatchCancelPipelineJobs.

See more: google.cloud.aiplatform_v1beta1.types.BatchCancelPipelineJobsOperationMetadata

google.cloud.aiplatform_v1beta1.types.BatchCancelPipelineJobsRequest

BatchCancelPipelineJobsRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for PipelineService.BatchCancelPipelineJobs.

See more: google.cloud.aiplatform_v1beta1.types.BatchCancelPipelineJobsRequest

google.cloud.aiplatform_v1beta1.types.BatchCancelPipelineJobsResponse

BatchCancelPipelineJobsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for PipelineService.BatchCancelPipelineJobs.

See more: google.cloud.aiplatform_v1beta1.types.BatchCancelPipelineJobsResponse

google.cloud.aiplatform_v1beta1.types.BatchCreateFeaturesOperationMetadata

BatchCreateFeaturesOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform batch create Features.

See more: google.cloud.aiplatform_v1beta1.types.BatchCreateFeaturesOperationMetadata

google.cloud.aiplatform_v1beta1.types.BatchCreateFeaturesRequest

BatchCreateFeaturesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.BatchCreateFeatures.

See more: google.cloud.aiplatform_v1beta1.types.BatchCreateFeaturesRequest

google.cloud.aiplatform_v1beta1.types.BatchCreateFeaturesResponse

BatchCreateFeaturesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeaturestoreService.BatchCreateFeatures.

See more: google.cloud.aiplatform_v1beta1.types.BatchCreateFeaturesResponse

google.cloud.aiplatform_v1beta1.types.BatchCreateTensorboardRunsRequest

BatchCreateTensorboardRunsRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.BatchCreateTensorboardRuns.

See more: google.cloud.aiplatform_v1beta1.types.BatchCreateTensorboardRunsRequest

google.cloud.aiplatform_v1beta1.types.BatchCreateTensorboardRunsResponse

BatchCreateTensorboardRunsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for TensorboardService.BatchCreateTensorboardRuns.

See more: google.cloud.aiplatform_v1beta1.types.BatchCreateTensorboardRunsResponse

google.cloud.aiplatform_v1beta1.types.BatchCreateTensorboardTimeSeriesRequest

BatchCreateTensorboardTimeSeriesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.BatchCreateTensorboardTimeSeries.

See more: google.cloud.aiplatform_v1beta1.types.BatchCreateTensorboardTimeSeriesRequest

google.cloud.aiplatform_v1beta1.types.BatchCreateTensorboardTimeSeriesResponse

BatchCreateTensorboardTimeSeriesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for TensorboardService.BatchCreateTensorboardTimeSeries.

See more: google.cloud.aiplatform_v1beta1.types.BatchCreateTensorboardTimeSeriesResponse

google.cloud.aiplatform_v1beta1.types.BatchDedicatedResources

BatchDedicatedResources(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A description of resources that are used for performing batch operations, are dedicated to a Model, and need manual configuration.

See more: google.cloud.aiplatform_v1beta1.types.BatchDedicatedResources

google.cloud.aiplatform_v1beta1.types.BatchDeletePipelineJobsRequest

BatchDeletePipelineJobsRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for PipelineService.BatchDeletePipelineJobs.

See more: google.cloud.aiplatform_v1beta1.types.BatchDeletePipelineJobsRequest

google.cloud.aiplatform_v1beta1.types.BatchDeletePipelineJobsResponse

BatchDeletePipelineJobsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for PipelineService.BatchDeletePipelineJobs.

See more: google.cloud.aiplatform_v1beta1.types.BatchDeletePipelineJobsResponse

google.cloud.aiplatform_v1beta1.types.BatchImportEvaluatedAnnotationsRequest

BatchImportEvaluatedAnnotationsRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for ModelService.BatchImportEvaluatedAnnotations .

See more: google.cloud.aiplatform_v1beta1.types.BatchImportEvaluatedAnnotationsRequest

google.cloud.aiplatform_v1beta1.types.BatchImportEvaluatedAnnotationsResponse

BatchImportEvaluatedAnnotationsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for ModelService.BatchImportEvaluatedAnnotations .

See more: google.cloud.aiplatform_v1beta1.types.BatchImportEvaluatedAnnotationsResponse

google.cloud.aiplatform_v1beta1.types.BatchImportModelEvaluationSlicesRequest

BatchImportModelEvaluationSlicesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for ModelService.BatchImportModelEvaluationSlices .

See more: google.cloud.aiplatform_v1beta1.types.BatchImportModelEvaluationSlicesRequest

google.cloud.aiplatform_v1beta1.types.BatchImportModelEvaluationSlicesResponse

BatchImportModelEvaluationSlicesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for ModelService.BatchImportModelEvaluationSlices .

See more: google.cloud.aiplatform_v1beta1.types.BatchImportModelEvaluationSlicesResponse

google.cloud.aiplatform_v1beta1.types.BatchMigrateResourcesOperationMetadata

BatchMigrateResourcesOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for MigrationService.BatchMigrateResources.

See more: google.cloud.aiplatform_v1beta1.types.BatchMigrateResourcesOperationMetadata

google.cloud.aiplatform_v1beta1.types.BatchMigrateResourcesOperationMetadata.PartialResult

PartialResult(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a partial result in batch migration operation for one MigrateResourceRequest.

See more: google.cloud.aiplatform_v1beta1.types.BatchMigrateResourcesOperationMetadata.PartialResult

google.cloud.aiplatform_v1beta1.types.BatchMigrateResourcesRequest

BatchMigrateResourcesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for MigrationService.BatchMigrateResources.

See more: google.cloud.aiplatform_v1beta1.types.BatchMigrateResourcesRequest

google.cloud.aiplatform_v1beta1.types.BatchMigrateResourcesResponse

BatchMigrateResourcesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for MigrationService.BatchMigrateResources.

See more: google.cloud.aiplatform_v1beta1.types.BatchMigrateResourcesResponse

google.cloud.aiplatform_v1beta1.types.BatchPredictionJob

BatchPredictionJob(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A job that uses a Model to produce predictions on multiple [input instances][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].

See more: google.cloud.aiplatform_v1beta1.types.BatchPredictionJob

google.cloud.aiplatform_v1beta1.types.BatchPredictionJob.InputConfig

InputConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configures the input to BatchPredictionJob.

See more: google.cloud.aiplatform_v1beta1.types.BatchPredictionJob.InputConfig

google.cloud.aiplatform_v1beta1.types.BatchPredictionJob.InstanceConfig

InstanceConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration defining how to transform batch prediction input instances to the instances that the Model accepts.

See more: google.cloud.aiplatform_v1beta1.types.BatchPredictionJob.InstanceConfig

google.cloud.aiplatform_v1beta1.types.BatchPredictionJob.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.BatchPredictionJob.LabelsEntry

google.cloud.aiplatform_v1beta1.types.BatchPredictionJob.OutputConfig

OutputConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configures the output of BatchPredictionJob.

See more: google.cloud.aiplatform_v1beta1.types.BatchPredictionJob.OutputConfig

google.cloud.aiplatform_v1beta1.types.BatchPredictionJob.OutputInfo

OutputInfo(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Further describes this job's output.

See more: google.cloud.aiplatform_v1beta1.types.BatchPredictionJob.OutputInfo

google.cloud.aiplatform_v1beta1.types.BatchReadFeatureValuesOperationMetadata

BatchReadFeatureValuesOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that batch reads Feature values.

See more: google.cloud.aiplatform_v1beta1.types.BatchReadFeatureValuesOperationMetadata

google.cloud.aiplatform_v1beta1.types.BatchReadFeatureValuesRequest

BatchReadFeatureValuesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for FeaturestoreService.BatchReadFeatureValues.

See more: google.cloud.aiplatform_v1beta1.types.BatchReadFeatureValuesRequest

google.cloud.aiplatform_v1beta1.types.BatchReadFeatureValuesRequest.EntityTypeSpec

EntityTypeSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Selects Features of an EntityType to read values of and specifies read settings.

See more: google.cloud.aiplatform_v1beta1.types.BatchReadFeatureValuesRequest.EntityTypeSpec

google.cloud.aiplatform_v1beta1.types.BatchReadFeatureValuesRequest.PassThroughField

PassThroughField(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Describe pass-through fields in read_instance source.

See more: google.cloud.aiplatform_v1beta1.types.BatchReadFeatureValuesRequest.PassThroughField

google.cloud.aiplatform_v1beta1.types.BatchReadFeatureValuesResponse

BatchReadFeatureValuesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for FeaturestoreService.BatchReadFeatureValues.

See more: google.cloud.aiplatform_v1beta1.types.BatchReadFeatureValuesResponse

google.cloud.aiplatform_v1beta1.types.BatchReadTensorboardTimeSeriesDataRequest

BatchReadTensorboardTimeSeriesDataRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.BatchReadTensorboardTimeSeriesData.

See more: google.cloud.aiplatform_v1beta1.types.BatchReadTensorboardTimeSeriesDataRequest

google.cloud.aiplatform_v1beta1.types.BatchReadTensorboardTimeSeriesDataResponse

BatchReadTensorboardTimeSeriesDataResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for TensorboardService.BatchReadTensorboardTimeSeriesData.

See more: google.cloud.aiplatform_v1beta1.types.BatchReadTensorboardTimeSeriesDataResponse

google.cloud.aiplatform_v1beta1.types.BigQueryDestination

BigQueryDestination(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The BigQuery location for the output content.

See more: google.cloud.aiplatform_v1beta1.types.BigQueryDestination

google.cloud.aiplatform_v1beta1.types.BigQuerySource

BigQuerySource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The BigQuery location for the input content.

See more: google.cloud.aiplatform_v1beta1.types.BigQuerySource

google.cloud.aiplatform_v1beta1.types.BleuInput

BleuInput(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Input for bleu metric.

See more: google.cloud.aiplatform_v1beta1.types.BleuInput

google.cloud.aiplatform_v1beta1.types.BleuInstance

BleuInstance(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for bleu instance.

See more: google.cloud.aiplatform_v1beta1.types.BleuInstance

google.cloud.aiplatform_v1beta1.types.BleuMetricValue

BleuMetricValue(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Bleu metric value for an instance.

See more: google.cloud.aiplatform_v1beta1.types.BleuMetricValue

google.cloud.aiplatform_v1beta1.types.BleuResults

BleuResults(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Results for bleu metric.

See more: google.cloud.aiplatform_v1beta1.types.BleuResults

google.cloud.aiplatform_v1beta1.types.BleuSpec

BleuSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for bleu score metric - calculates the precision of n-grams in the prediction as compared to reference - returns a score ranging between 0 to 1.

See more: google.cloud.aiplatform_v1beta1.types.BleuSpec

google.cloud.aiplatform_v1beta1.types.Blob

Blob(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Content blob.

See more: google.cloud.aiplatform_v1beta1.types.Blob

google.cloud.aiplatform_v1beta1.types.BlurBaselineConfig

BlurBaselineConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Config for blur baseline.

See more: google.cloud.aiplatform_v1beta1.types.BlurBaselineConfig

google.cloud.aiplatform_v1beta1.types.BoolArray

BoolArray(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A list of boolean values.

See more: google.cloud.aiplatform_v1beta1.types.BoolArray

google.cloud.aiplatform_v1beta1.types.CancelBatchPredictionJobRequest

CancelBatchPredictionJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.CancelBatchPredictionJob.

See more: google.cloud.aiplatform_v1beta1.types.CancelBatchPredictionJobRequest

google.cloud.aiplatform_v1beta1.types.CancelCustomJobRequest

CancelCustomJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.CancelCustomJob.

See more: google.cloud.aiplatform_v1beta1.types.CancelCustomJobRequest

google.cloud.aiplatform_v1beta1.types.CancelDataLabelingJobRequest

CancelDataLabelingJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.CancelDataLabelingJob.

See more: google.cloud.aiplatform_v1beta1.types.CancelDataLabelingJobRequest

google.cloud.aiplatform_v1beta1.types.CancelHyperparameterTuningJobRequest

CancelHyperparameterTuningJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.CancelHyperparameterTuningJob.

See more: google.cloud.aiplatform_v1beta1.types.CancelHyperparameterTuningJobRequest

google.cloud.aiplatform_v1beta1.types.CancelNasJobRequest

CancelNasJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.CancelNasJob.

See more: google.cloud.aiplatform_v1beta1.types.CancelNasJobRequest

google.cloud.aiplatform_v1beta1.types.CancelPipelineJobRequest

CancelPipelineJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PipelineService.CancelPipelineJob.

See more: google.cloud.aiplatform_v1beta1.types.CancelPipelineJobRequest

google.cloud.aiplatform_v1beta1.types.CancelTrainingPipelineRequest

CancelTrainingPipelineRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for PipelineService.CancelTrainingPipeline.

See more: google.cloud.aiplatform_v1beta1.types.CancelTrainingPipelineRequest

google.cloud.aiplatform_v1beta1.types.Candidate

Candidate(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A response candidate generated from the model.

See more: google.cloud.aiplatform_v1beta1.types.Candidate

google.cloud.aiplatform_v1beta1.types.Candidate.FinishReason

FinishReason(value)

The reason why the model stopped generating tokens.

See more: google.cloud.aiplatform_v1beta1.types.Candidate.FinishReason

google.cloud.aiplatform_v1beta1.types.ChatCompletionsRequest

ChatCompletionsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for [PredictionService.ChatCompletions] .

See more: google.cloud.aiplatform_v1beta1.types.ChatCompletionsRequest

google.cloud.aiplatform_v1beta1.types.CheckTrialEarlyStoppingStateMetatdata

CheckTrialEarlyStoppingStateMetatdata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

This message will be placed in the metadata field of a google.longrunning.Operation associated with a CheckTrialEarlyStoppingState request.

See more: google.cloud.aiplatform_v1beta1.types.CheckTrialEarlyStoppingStateMetatdata

google.cloud.aiplatform_v1beta1.types.CheckTrialEarlyStoppingStateRequest

CheckTrialEarlyStoppingStateRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for VizierService.CheckTrialEarlyStoppingState.

See more: google.cloud.aiplatform_v1beta1.types.CheckTrialEarlyStoppingStateRequest

google.cloud.aiplatform_v1beta1.types.CheckTrialEarlyStoppingStateResponse

CheckTrialEarlyStoppingStateResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for VizierService.CheckTrialEarlyStoppingState.

See more: google.cloud.aiplatform_v1beta1.types.CheckTrialEarlyStoppingStateResponse

google.cloud.aiplatform_v1beta1.types.Citation

Citation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Source attributions for content.

See more: google.cloud.aiplatform_v1beta1.types.Citation

google.cloud.aiplatform_v1beta1.types.CitationMetadata

CitationMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A collection of source attributions for a piece of content.

See more: google.cloud.aiplatform_v1beta1.types.CitationMetadata

google.cloud.aiplatform_v1beta1.types.CoherenceInput

CoherenceInput(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Input for coherence metric.

See more: google.cloud.aiplatform_v1beta1.types.CoherenceInput

google.cloud.aiplatform_v1beta1.types.CoherenceInstance

CoherenceInstance(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for coherence instance.

See more: google.cloud.aiplatform_v1beta1.types.CoherenceInstance

google.cloud.aiplatform_v1beta1.types.CoherenceResult

CoherenceResult(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for coherence result.

See more: google.cloud.aiplatform_v1beta1.types.CoherenceResult

google.cloud.aiplatform_v1beta1.types.CoherenceSpec

CoherenceSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for coherence score metric.

See more: google.cloud.aiplatform_v1beta1.types.CoherenceSpec

google.cloud.aiplatform_v1beta1.types.CompleteTrialRequest

CompleteTrialRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.CompleteTrial.

See more: google.cloud.aiplatform_v1beta1.types.CompleteTrialRequest

google.cloud.aiplatform_v1beta1.types.CompletionStats

CompletionStats(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Success and error statistics of processing multiple entities (for example, DataItems or structured data rows) in batch.

See more: google.cloud.aiplatform_v1beta1.types.CompletionStats

google.cloud.aiplatform_v1beta1.types.ComputeTokensRequest

ComputeTokensRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ComputeTokens RPC call.

See more: google.cloud.aiplatform_v1beta1.types.ComputeTokensRequest

google.cloud.aiplatform_v1beta1.types.ComputeTokensResponse

ComputeTokensResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for ComputeTokens RPC call.

See more: google.cloud.aiplatform_v1beta1.types.ComputeTokensResponse

google.cloud.aiplatform_v1beta1.types.ContainerRegistryDestination

ContainerRegistryDestination(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The Container Registry location for the container image.

See more: google.cloud.aiplatform_v1beta1.types.ContainerRegistryDestination

google.cloud.aiplatform_v1beta1.types.ContainerSpec

ContainerSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The spec of a Container.

See more: google.cloud.aiplatform_v1beta1.types.ContainerSpec

google.cloud.aiplatform_v1beta1.types.Content

Content(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The base structured datatype containing multi-part content of a message.

See more: google.cloud.aiplatform_v1beta1.types.Content

google.cloud.aiplatform_v1beta1.types.Context

Context(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Instance of a general context.

See more: google.cloud.aiplatform_v1beta1.types.Context

google.cloud.aiplatform_v1beta1.types.Context.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.Context.LabelsEntry

google.cloud.aiplatform_v1beta1.types.CopyModelOperationMetadata

CopyModelOperationMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Details of ModelService.CopyModel operation.

See more: google.cloud.aiplatform_v1beta1.types.CopyModelOperationMetadata

google.cloud.aiplatform_v1beta1.types.CopyModelRequest

CopyModelRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelService.CopyModel.

See more: google.cloud.aiplatform_v1beta1.types.CopyModelRequest

google.cloud.aiplatform_v1beta1.types.CopyModelResponse

CopyModelResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message of ModelService.CopyModel operation.

See more: google.cloud.aiplatform_v1beta1.types.CopyModelResponse

google.cloud.aiplatform_v1beta1.types.CountTokensRequest

CountTokensRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PredictionService.CountTokens.

See more: google.cloud.aiplatform_v1beta1.types.CountTokensRequest

google.cloud.aiplatform_v1beta1.types.CountTokensResponse

CountTokensResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for PredictionService.CountTokens.

See more: google.cloud.aiplatform_v1beta1.types.CountTokensResponse

google.cloud.aiplatform_v1beta1.types.CreateArtifactRequest

CreateArtifactRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.CreateArtifact.

See more: google.cloud.aiplatform_v1beta1.types.CreateArtifactRequest

google.cloud.aiplatform_v1beta1.types.CreateBatchPredictionJobRequest

CreateBatchPredictionJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.CreateBatchPredictionJob.

See more: google.cloud.aiplatform_v1beta1.types.CreateBatchPredictionJobRequest

google.cloud.aiplatform_v1beta1.types.CreateContextRequest

CreateContextRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.CreateContext.

See more: google.cloud.aiplatform_v1beta1.types.CreateContextRequest

google.cloud.aiplatform_v1beta1.types.CreateCustomJobRequest

CreateCustomJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.CreateCustomJob.

See more: google.cloud.aiplatform_v1beta1.types.CreateCustomJobRequest

google.cloud.aiplatform_v1beta1.types.CreateDataLabelingJobRequest

CreateDataLabelingJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.CreateDataLabelingJob.

See more: google.cloud.aiplatform_v1beta1.types.CreateDataLabelingJobRequest

google.cloud.aiplatform_v1beta1.types.CreateDatasetOperationMetadata

CreateDatasetOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for DatasetService.CreateDataset.

See more: google.cloud.aiplatform_v1beta1.types.CreateDatasetOperationMetadata

google.cloud.aiplatform_v1beta1.types.CreateDatasetRequest

CreateDatasetRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.CreateDataset.

See more: google.cloud.aiplatform_v1beta1.types.CreateDatasetRequest

google.cloud.aiplatform_v1beta1.types.CreateDatasetVersionOperationMetadata

CreateDatasetVersionOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for DatasetService.CreateDatasetVersion.

See more: google.cloud.aiplatform_v1beta1.types.CreateDatasetVersionOperationMetadata

google.cloud.aiplatform_v1beta1.types.CreateDatasetVersionRequest

CreateDatasetVersionRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.CreateDatasetVersion.

See more: google.cloud.aiplatform_v1beta1.types.CreateDatasetVersionRequest

google.cloud.aiplatform_v1beta1.types.CreateDeploymentResourcePoolOperationMetadata

CreateDeploymentResourcePoolOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for CreateDeploymentResourcePool method.

See more: google.cloud.aiplatform_v1beta1.types.CreateDeploymentResourcePoolOperationMetadata

google.cloud.aiplatform_v1beta1.types.CreateDeploymentResourcePoolRequest

CreateDeploymentResourcePoolRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for CreateDeploymentResourcePool method.

See more: google.cloud.aiplatform_v1beta1.types.CreateDeploymentResourcePoolRequest

google.cloud.aiplatform_v1beta1.types.CreateEndpointOperationMetadata

CreateEndpointOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for EndpointService.CreateEndpoint.

See more: google.cloud.aiplatform_v1beta1.types.CreateEndpointOperationMetadata

google.cloud.aiplatform_v1beta1.types.CreateEndpointRequest

CreateEndpointRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for EndpointService.CreateEndpoint.

See more: google.cloud.aiplatform_v1beta1.types.CreateEndpointRequest

google.cloud.aiplatform_v1beta1.types.CreateEntityTypeOperationMetadata

CreateEntityTypeOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform create EntityType.

See more: google.cloud.aiplatform_v1beta1.types.CreateEntityTypeOperationMetadata

google.cloud.aiplatform_v1beta1.types.CreateEntityTypeRequest

CreateEntityTypeRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.CreateEntityType.

See more: google.cloud.aiplatform_v1beta1.types.CreateEntityTypeRequest

google.cloud.aiplatform_v1beta1.types.CreateExecutionRequest

CreateExecutionRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.CreateExecution.

See more: google.cloud.aiplatform_v1beta1.types.CreateExecutionRequest

google.cloud.aiplatform_v1beta1.types.CreateFeatureGroupOperationMetadata

CreateFeatureGroupOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform create FeatureGroup.

See more: google.cloud.aiplatform_v1beta1.types.CreateFeatureGroupOperationMetadata

google.cloud.aiplatform_v1beta1.types.CreateFeatureGroupRequest

CreateFeatureGroupRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureRegistryService.CreateFeatureGroup.

See more: google.cloud.aiplatform_v1beta1.types.CreateFeatureGroupRequest

google.cloud.aiplatform_v1beta1.types.CreateFeatureOnlineStoreOperationMetadata

CreateFeatureOnlineStoreOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform create FeatureOnlineStore.

See more: google.cloud.aiplatform_v1beta1.types.CreateFeatureOnlineStoreOperationMetadata

google.cloud.aiplatform_v1beta1.types.CreateFeatureOnlineStoreRequest

CreateFeatureOnlineStoreRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for FeatureOnlineStoreAdminService.CreateFeatureOnlineStore.

See more: google.cloud.aiplatform_v1beta1.types.CreateFeatureOnlineStoreRequest

google.cloud.aiplatform_v1beta1.types.CreateFeatureOperationMetadata

CreateFeatureOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform create Feature.

See more: google.cloud.aiplatform_v1beta1.types.CreateFeatureOperationMetadata

google.cloud.aiplatform_v1beta1.types.CreateFeatureRequest

CreateFeatureRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.CreateFeature.

See more: google.cloud.aiplatform_v1beta1.types.CreateFeatureRequest

google.cloud.aiplatform_v1beta1.types.CreateFeatureViewOperationMetadata

CreateFeatureViewOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform create FeatureView.

See more: google.cloud.aiplatform_v1beta1.types.CreateFeatureViewOperationMetadata

google.cloud.aiplatform_v1beta1.types.CreateFeatureViewRequest

CreateFeatureViewRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureOnlineStoreAdminService.CreateFeatureView.

See more: google.cloud.aiplatform_v1beta1.types.CreateFeatureViewRequest

google.cloud.aiplatform_v1beta1.types.CreateFeaturestoreOperationMetadata

CreateFeaturestoreOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform create Featurestore.

See more: google.cloud.aiplatform_v1beta1.types.CreateFeaturestoreOperationMetadata

google.cloud.aiplatform_v1beta1.types.CreateFeaturestoreRequest

CreateFeaturestoreRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.CreateFeaturestore.

See more: google.cloud.aiplatform_v1beta1.types.CreateFeaturestoreRequest

google.cloud.aiplatform_v1beta1.types.CreateHyperparameterTuningJobRequest

CreateHyperparameterTuningJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.CreateHyperparameterTuningJob.

See more: google.cloud.aiplatform_v1beta1.types.CreateHyperparameterTuningJobRequest

google.cloud.aiplatform_v1beta1.types.CreateIndexEndpointOperationMetadata

CreateIndexEndpointOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for IndexEndpointService.CreateIndexEndpoint.

See more: google.cloud.aiplatform_v1beta1.types.CreateIndexEndpointOperationMetadata

google.cloud.aiplatform_v1beta1.types.CreateIndexEndpointRequest

CreateIndexEndpointRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexEndpointService.CreateIndexEndpoint.

See more: google.cloud.aiplatform_v1beta1.types.CreateIndexEndpointRequest

google.cloud.aiplatform_v1beta1.types.CreateIndexOperationMetadata

CreateIndexOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for IndexService.CreateIndex.

See more: google.cloud.aiplatform_v1beta1.types.CreateIndexOperationMetadata

google.cloud.aiplatform_v1beta1.types.CreateIndexRequest

CreateIndexRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexService.CreateIndex.

See more: google.cloud.aiplatform_v1beta1.types.CreateIndexRequest

google.cloud.aiplatform_v1beta1.types.CreateMetadataSchemaRequest

CreateMetadataSchemaRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.CreateMetadataSchema.

See more: google.cloud.aiplatform_v1beta1.types.CreateMetadataSchemaRequest

google.cloud.aiplatform_v1beta1.types.CreateMetadataStoreOperationMetadata

CreateMetadataStoreOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform MetadataService.CreateMetadataStore.

See more: google.cloud.aiplatform_v1beta1.types.CreateMetadataStoreOperationMetadata

google.cloud.aiplatform_v1beta1.types.CreateMetadataStoreRequest

CreateMetadataStoreRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.CreateMetadataStore.

See more: google.cloud.aiplatform_v1beta1.types.CreateMetadataStoreRequest

google.cloud.aiplatform_v1beta1.types.CreateModelDeploymentMonitoringJobRequest

CreateModelDeploymentMonitoringJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.CreateModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1beta1.types.CreateModelDeploymentMonitoringJobRequest

google.cloud.aiplatform_v1beta1.types.CreateNasJobRequest

CreateNasJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.CreateNasJob.

See more: google.cloud.aiplatform_v1beta1.types.CreateNasJobRequest

google.cloud.aiplatform_v1beta1.types.CreateNotebookRuntimeTemplateOperationMetadata

CreateNotebookRuntimeTemplateOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Metadata information for NotebookService.CreateNotebookRuntimeTemplate.

See more: google.cloud.aiplatform_v1beta1.types.CreateNotebookRuntimeTemplateOperationMetadata

google.cloud.aiplatform_v1beta1.types.CreateNotebookRuntimeTemplateRequest

CreateNotebookRuntimeTemplateRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for NotebookService.CreateNotebookRuntimeTemplate.

See more: google.cloud.aiplatform_v1beta1.types.CreateNotebookRuntimeTemplateRequest

google.cloud.aiplatform_v1beta1.types.CreatePersistentResourceOperationMetadata

CreatePersistentResourceOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform create PersistentResource.

See more: google.cloud.aiplatform_v1beta1.types.CreatePersistentResourceOperationMetadata

google.cloud.aiplatform_v1beta1.types.CreatePersistentResourceRequest

CreatePersistentResourceRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for PersistentResourceService.CreatePersistentResource.

See more: google.cloud.aiplatform_v1beta1.types.CreatePersistentResourceRequest

google.cloud.aiplatform_v1beta1.types.CreatePipelineJobRequest

CreatePipelineJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PipelineService.CreatePipelineJob.

See more: google.cloud.aiplatform_v1beta1.types.CreatePipelineJobRequest

google.cloud.aiplatform_v1beta1.types.CreateRagCorpusOperationMetadata

CreateRagCorpusOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for VertexRagDataService.CreateRagCorpus.

See more: google.cloud.aiplatform_v1beta1.types.CreateRagCorpusOperationMetadata

google.cloud.aiplatform_v1beta1.types.CreateRagCorpusRequest

CreateRagCorpusRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VertexRagDataService.CreateRagCorpus.

See more: google.cloud.aiplatform_v1beta1.types.CreateRagCorpusRequest

google.cloud.aiplatform_v1beta1.types.CreateReasoningEngineOperationMetadata

CreateReasoningEngineOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of ReasoningEngineService.CreateReasoningEngine operation.

See more: google.cloud.aiplatform_v1beta1.types.CreateReasoningEngineOperationMetadata

google.cloud.aiplatform_v1beta1.types.CreateReasoningEngineRequest

CreateReasoningEngineRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for ReasoningEngineService.CreateReasoningEngine.

See more: google.cloud.aiplatform_v1beta1.types.CreateReasoningEngineRequest

google.cloud.aiplatform_v1beta1.types.CreateRegistryFeatureOperationMetadata

CreateRegistryFeatureOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform create FeatureGroup.

See more: google.cloud.aiplatform_v1beta1.types.CreateRegistryFeatureOperationMetadata

google.cloud.aiplatform_v1beta1.types.CreateScheduleRequest

CreateScheduleRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ScheduleService.CreateSchedule.

See more: google.cloud.aiplatform_v1beta1.types.CreateScheduleRequest

google.cloud.aiplatform_v1beta1.types.CreateSpecialistPoolOperationMetadata

CreateSpecialistPoolOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for SpecialistPoolService.CreateSpecialistPool.

See more: google.cloud.aiplatform_v1beta1.types.CreateSpecialistPoolOperationMetadata

google.cloud.aiplatform_v1beta1.types.CreateSpecialistPoolRequest

CreateSpecialistPoolRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for SpecialistPoolService.CreateSpecialistPool.

See more: google.cloud.aiplatform_v1beta1.types.CreateSpecialistPoolRequest

google.cloud.aiplatform_v1beta1.types.CreateStudyRequest

CreateStudyRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.CreateStudy.

See more: google.cloud.aiplatform_v1beta1.types.CreateStudyRequest

google.cloud.aiplatform_v1beta1.types.CreateTensorboardExperimentRequest

CreateTensorboardExperimentRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.CreateTensorboardExperiment.

See more: google.cloud.aiplatform_v1beta1.types.CreateTensorboardExperimentRequest

google.cloud.aiplatform_v1beta1.types.CreateTensorboardOperationMetadata

CreateTensorboardOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform create Tensorboard.

See more: google.cloud.aiplatform_v1beta1.types.CreateTensorboardOperationMetadata

google.cloud.aiplatform_v1beta1.types.CreateTensorboardRequest

CreateTensorboardRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for TensorboardService.CreateTensorboard.

See more: google.cloud.aiplatform_v1beta1.types.CreateTensorboardRequest

google.cloud.aiplatform_v1beta1.types.CreateTensorboardRunRequest

CreateTensorboardRunRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for TensorboardService.CreateTensorboardRun.

See more: google.cloud.aiplatform_v1beta1.types.CreateTensorboardRunRequest

google.cloud.aiplatform_v1beta1.types.CreateTensorboardTimeSeriesRequest

CreateTensorboardTimeSeriesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.CreateTensorboardTimeSeries.

See more: google.cloud.aiplatform_v1beta1.types.CreateTensorboardTimeSeriesRequest

google.cloud.aiplatform_v1beta1.types.CreateTrainingPipelineRequest

CreateTrainingPipelineRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for PipelineService.CreateTrainingPipeline.

See more: google.cloud.aiplatform_v1beta1.types.CreateTrainingPipelineRequest

google.cloud.aiplatform_v1beta1.types.CreateTrialRequest

CreateTrialRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.CreateTrial.

See more: google.cloud.aiplatform_v1beta1.types.CreateTrialRequest

google.cloud.aiplatform_v1beta1.types.CsvDestination

CsvDestination(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The storage details for CSV output content.

See more: google.cloud.aiplatform_v1beta1.types.CsvDestination

google.cloud.aiplatform_v1beta1.types.CsvSource

CsvSource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The storage details for CSV input content.

See more: google.cloud.aiplatform_v1beta1.types.CsvSource

google.cloud.aiplatform_v1beta1.types.CustomJob

CustomJob(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a job that runs custom workloads such as a Docker container or a Python package.

See more: google.cloud.aiplatform_v1beta1.types.CustomJob

google.cloud.aiplatform_v1beta1.types.CustomJob.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.CustomJob.LabelsEntry

google.cloud.aiplatform_v1beta1.types.CustomJob.WebAccessUrisEntry

WebAccessUrisEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.CustomJob.WebAccessUrisEntry

google.cloud.aiplatform_v1beta1.types.CustomJobSpec

CustomJobSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents the spec of a CustomJob.

See more: google.cloud.aiplatform_v1beta1.types.CustomJobSpec

google.cloud.aiplatform_v1beta1.types.DataItem

DataItem(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A piece of data in a Dataset.

See more: google.cloud.aiplatform_v1beta1.types.DataItem

google.cloud.aiplatform_v1beta1.types.DataItem.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.DataItem.LabelsEntry

google.cloud.aiplatform_v1beta1.types.DataItemView

DataItemView(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A container for a single DataItem and Annotations on it.

See more: google.cloud.aiplatform_v1beta1.types.DataItemView

google.cloud.aiplatform_v1beta1.types.DataLabelingJob

DataLabelingJob(mapping=None, *, ignore_unknown_fields=False, **kwargs)

DataLabelingJob is used to trigger a human labeling job on unlabeled data from the following Dataset: .

See more: google.cloud.aiplatform_v1beta1.types.DataLabelingJob

google.cloud.aiplatform_v1beta1.types.DataLabelingJob.AnnotationLabelsEntry

AnnotationLabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.DataLabelingJob.AnnotationLabelsEntry

google.cloud.aiplatform_v1beta1.types.DataLabelingJob.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.DataLabelingJob.LabelsEntry

google.cloud.aiplatform_v1beta1.types.Dataset

Dataset(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A collection of DataItems and Annotations on them.

See more: google.cloud.aiplatform_v1beta1.types.Dataset

google.cloud.aiplatform_v1beta1.types.Dataset.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.Dataset.LabelsEntry

google.cloud.aiplatform_v1beta1.types.DatasetVersion

DatasetVersion(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Describes the dataset version.

See more: google.cloud.aiplatform_v1beta1.types.DatasetVersion

google.cloud.aiplatform_v1beta1.types.DedicatedResources

DedicatedResources(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A description of resources that are dedicated to a DeployedModel, and that need a higher degree of manual configuration.

See more: google.cloud.aiplatform_v1beta1.types.DedicatedResources

google.cloud.aiplatform_v1beta1.types.DeleteArtifactRequest

DeleteArtifactRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.DeleteArtifact.

See more: google.cloud.aiplatform_v1beta1.types.DeleteArtifactRequest

google.cloud.aiplatform_v1beta1.types.DeleteBatchPredictionJobRequest

DeleteBatchPredictionJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.DeleteBatchPredictionJob.

See more: google.cloud.aiplatform_v1beta1.types.DeleteBatchPredictionJobRequest

google.cloud.aiplatform_v1beta1.types.DeleteContextRequest

DeleteContextRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.DeleteContext.

See more: google.cloud.aiplatform_v1beta1.types.DeleteContextRequest

google.cloud.aiplatform_v1beta1.types.DeleteCustomJobRequest

DeleteCustomJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.DeleteCustomJob.

See more: google.cloud.aiplatform_v1beta1.types.DeleteCustomJobRequest

google.cloud.aiplatform_v1beta1.types.DeleteDataLabelingJobRequest

DeleteDataLabelingJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.DeleteDataLabelingJob.

See more: google.cloud.aiplatform_v1beta1.types.DeleteDataLabelingJobRequest

google.cloud.aiplatform_v1beta1.types.DeleteDatasetRequest

DeleteDatasetRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.DeleteDataset.

See more: google.cloud.aiplatform_v1beta1.types.DeleteDatasetRequest

google.cloud.aiplatform_v1beta1.types.DeleteDatasetVersionRequest

DeleteDatasetVersionRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.DeleteDatasetVersion.

See more: google.cloud.aiplatform_v1beta1.types.DeleteDatasetVersionRequest

google.cloud.aiplatform_v1beta1.types.DeleteDeploymentResourcePoolRequest

DeleteDeploymentResourcePoolRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for DeleteDeploymentResourcePool method.

See more: google.cloud.aiplatform_v1beta1.types.DeleteDeploymentResourcePoolRequest

google.cloud.aiplatform_v1beta1.types.DeleteEndpointRequest

DeleteEndpointRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for EndpointService.DeleteEndpoint.

See more: google.cloud.aiplatform_v1beta1.types.DeleteEndpointRequest

google.cloud.aiplatform_v1beta1.types.DeleteEntityTypeRequest

DeleteEntityTypeRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for [FeaturestoreService.DeleteEntityTypes][].

See more: google.cloud.aiplatform_v1beta1.types.DeleteEntityTypeRequest

google.cloud.aiplatform_v1beta1.types.DeleteExecutionRequest

DeleteExecutionRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.DeleteExecution.

See more: google.cloud.aiplatform_v1beta1.types.DeleteExecutionRequest

google.cloud.aiplatform_v1beta1.types.DeleteExtensionRequest

DeleteExtensionRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ExtensionRegistryService.DeleteExtension.

See more: google.cloud.aiplatform_v1beta1.types.DeleteExtensionRequest

google.cloud.aiplatform_v1beta1.types.DeleteFeatureGroupRequest

DeleteFeatureGroupRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureRegistryService.DeleteFeatureGroup.

See more: google.cloud.aiplatform_v1beta1.types.DeleteFeatureGroupRequest

google.cloud.aiplatform_v1beta1.types.DeleteFeatureOnlineStoreRequest

DeleteFeatureOnlineStoreRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore.

See more: google.cloud.aiplatform_v1beta1.types.DeleteFeatureOnlineStoreRequest

google.cloud.aiplatform_v1beta1.types.DeleteFeatureRequest

DeleteFeatureRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.DeleteFeature.

See more: google.cloud.aiplatform_v1beta1.types.DeleteFeatureRequest

google.cloud.aiplatform_v1beta1.types.DeleteFeatureValuesOperationMetadata

DeleteFeatureValuesOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that delete Feature values.

See more: google.cloud.aiplatform_v1beta1.types.DeleteFeatureValuesOperationMetadata

google.cloud.aiplatform_v1beta1.types.DeleteFeatureValuesRequest

DeleteFeatureValuesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.DeleteFeatureValues.

See more: google.cloud.aiplatform_v1beta1.types.DeleteFeatureValuesRequest

google.cloud.aiplatform_v1beta1.types.DeleteFeatureValuesRequest.SelectEntity

SelectEntity(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Message to select entity.

See more: google.cloud.aiplatform_v1beta1.types.DeleteFeatureValuesRequest.SelectEntity

google.cloud.aiplatform_v1beta1.types.DeleteFeatureValuesRequest.SelectTimeRangeAndFeature

SelectTimeRangeAndFeature(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Message to select time range and feature.

See more: google.cloud.aiplatform_v1beta1.types.DeleteFeatureValuesRequest.SelectTimeRangeAndFeature

google.cloud.aiplatform_v1beta1.types.DeleteFeatureValuesResponse

DeleteFeatureValuesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeaturestoreService.DeleteFeatureValues.

See more: google.cloud.aiplatform_v1beta1.types.DeleteFeatureValuesResponse

google.cloud.aiplatform_v1beta1.types.DeleteFeatureValuesResponse.SelectEntity

SelectEntity(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message if the request uses the SelectEntity option.

See more: google.cloud.aiplatform_v1beta1.types.DeleteFeatureValuesResponse.SelectEntity

google.cloud.aiplatform_v1beta1.types.DeleteFeatureValuesResponse.SelectTimeRangeAndFeature

SelectTimeRangeAndFeature(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message if the request uses the SelectTimeRangeAndFeature option.

See more: google.cloud.aiplatform_v1beta1.types.DeleteFeatureValuesResponse.SelectTimeRangeAndFeature

google.cloud.aiplatform_v1beta1.types.DeleteFeatureViewRequest

DeleteFeatureViewRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for [FeatureOnlineStoreAdminService.DeleteFeatureViews][].

See more: google.cloud.aiplatform_v1beta1.types.DeleteFeatureViewRequest

google.cloud.aiplatform_v1beta1.types.DeleteFeaturestoreRequest

DeleteFeaturestoreRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.DeleteFeaturestore.

See more: google.cloud.aiplatform_v1beta1.types.DeleteFeaturestoreRequest

google.cloud.aiplatform_v1beta1.types.DeleteHyperparameterTuningJobRequest

DeleteHyperparameterTuningJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.DeleteHyperparameterTuningJob.

See more: google.cloud.aiplatform_v1beta1.types.DeleteHyperparameterTuningJobRequest

google.cloud.aiplatform_v1beta1.types.DeleteIndexEndpointRequest

DeleteIndexEndpointRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexEndpointService.DeleteIndexEndpoint.

See more: google.cloud.aiplatform_v1beta1.types.DeleteIndexEndpointRequest

google.cloud.aiplatform_v1beta1.types.DeleteIndexRequest

DeleteIndexRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexService.DeleteIndex.

See more: google.cloud.aiplatform_v1beta1.types.DeleteIndexRequest

google.cloud.aiplatform_v1beta1.types.DeleteMetadataStoreOperationMetadata

DeleteMetadataStoreOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform MetadataService.DeleteMetadataStore.

See more: google.cloud.aiplatform_v1beta1.types.DeleteMetadataStoreOperationMetadata

google.cloud.aiplatform_v1beta1.types.DeleteMetadataStoreRequest

DeleteMetadataStoreRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.DeleteMetadataStore.

See more: google.cloud.aiplatform_v1beta1.types.DeleteMetadataStoreRequest

google.cloud.aiplatform_v1beta1.types.DeleteModelDeploymentMonitoringJobRequest

DeleteModelDeploymentMonitoringJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.DeleteModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1beta1.types.DeleteModelDeploymentMonitoringJobRequest

google.cloud.aiplatform_v1beta1.types.DeleteModelRequest

DeleteModelRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelService.DeleteModel.

See more: google.cloud.aiplatform_v1beta1.types.DeleteModelRequest

google.cloud.aiplatform_v1beta1.types.DeleteModelVersionRequest

DeleteModelVersionRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelService.DeleteModelVersion.

See more: google.cloud.aiplatform_v1beta1.types.DeleteModelVersionRequest

google.cloud.aiplatform_v1beta1.types.DeleteNasJobRequest

DeleteNasJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.DeleteNasJob.

See more: google.cloud.aiplatform_v1beta1.types.DeleteNasJobRequest

google.cloud.aiplatform_v1beta1.types.DeleteNotebookRuntimeRequest

DeleteNotebookRuntimeRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for NotebookService.DeleteNotebookRuntime.

See more: google.cloud.aiplatform_v1beta1.types.DeleteNotebookRuntimeRequest

google.cloud.aiplatform_v1beta1.types.DeleteNotebookRuntimeTemplateRequest

DeleteNotebookRuntimeTemplateRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for NotebookService.DeleteNotebookRuntimeTemplate.

See more: google.cloud.aiplatform_v1beta1.types.DeleteNotebookRuntimeTemplateRequest

google.cloud.aiplatform_v1beta1.types.DeleteOperationMetadata

DeleteOperationMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Details of operations that perform deletes of any entities.

See more: google.cloud.aiplatform_v1beta1.types.DeleteOperationMetadata

google.cloud.aiplatform_v1beta1.types.DeletePersistentResourceRequest

DeletePersistentResourceRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for PersistentResourceService.DeletePersistentResource.

See more: google.cloud.aiplatform_v1beta1.types.DeletePersistentResourceRequest

google.cloud.aiplatform_v1beta1.types.DeletePipelineJobRequest

DeletePipelineJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PipelineService.DeletePipelineJob.

See more: google.cloud.aiplatform_v1beta1.types.DeletePipelineJobRequest

google.cloud.aiplatform_v1beta1.types.DeleteRagCorpusRequest

DeleteRagCorpusRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VertexRagDataService.DeleteRagCorpus.

See more: google.cloud.aiplatform_v1beta1.types.DeleteRagCorpusRequest

google.cloud.aiplatform_v1beta1.types.DeleteRagFileRequest

DeleteRagFileRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VertexRagDataService.DeleteRagFile.

See more: google.cloud.aiplatform_v1beta1.types.DeleteRagFileRequest

google.cloud.aiplatform_v1beta1.types.DeleteReasoningEngineRequest

DeleteReasoningEngineRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for ReasoningEngineService.DeleteReasoningEngine.

See more: google.cloud.aiplatform_v1beta1.types.DeleteReasoningEngineRequest

google.cloud.aiplatform_v1beta1.types.DeleteSavedQueryRequest

DeleteSavedQueryRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.DeleteSavedQuery.

See more: google.cloud.aiplatform_v1beta1.types.DeleteSavedQueryRequest

google.cloud.aiplatform_v1beta1.types.DeleteScheduleRequest

DeleteScheduleRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ScheduleService.DeleteSchedule.

See more: google.cloud.aiplatform_v1beta1.types.DeleteScheduleRequest

google.cloud.aiplatform_v1beta1.types.DeleteSpecialistPoolRequest

DeleteSpecialistPoolRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for SpecialistPoolService.DeleteSpecialistPool.

See more: google.cloud.aiplatform_v1beta1.types.DeleteSpecialistPoolRequest

google.cloud.aiplatform_v1beta1.types.DeleteStudyRequest

DeleteStudyRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.DeleteStudy.

See more: google.cloud.aiplatform_v1beta1.types.DeleteStudyRequest

google.cloud.aiplatform_v1beta1.types.DeleteTensorboardExperimentRequest

DeleteTensorboardExperimentRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.DeleteTensorboardExperiment.

See more: google.cloud.aiplatform_v1beta1.types.DeleteTensorboardExperimentRequest

google.cloud.aiplatform_v1beta1.types.DeleteTensorboardRequest

DeleteTensorboardRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for TensorboardService.DeleteTensorboard.

See more: google.cloud.aiplatform_v1beta1.types.DeleteTensorboardRequest

google.cloud.aiplatform_v1beta1.types.DeleteTensorboardRunRequest

DeleteTensorboardRunRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for TensorboardService.DeleteTensorboardRun.

See more: google.cloud.aiplatform_v1beta1.types.DeleteTensorboardRunRequest

google.cloud.aiplatform_v1beta1.types.DeleteTensorboardTimeSeriesRequest

DeleteTensorboardTimeSeriesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.DeleteTensorboardTimeSeries.

See more: google.cloud.aiplatform_v1beta1.types.DeleteTensorboardTimeSeriesRequest

google.cloud.aiplatform_v1beta1.types.DeleteTrainingPipelineRequest

DeleteTrainingPipelineRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for PipelineService.DeleteTrainingPipeline.

See more: google.cloud.aiplatform_v1beta1.types.DeleteTrainingPipelineRequest

google.cloud.aiplatform_v1beta1.types.DeleteTrialRequest

DeleteTrialRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.DeleteTrial.

See more: google.cloud.aiplatform_v1beta1.types.DeleteTrialRequest

google.cloud.aiplatform_v1beta1.types.DeployIndexOperationMetadata

DeployIndexOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for IndexEndpointService.DeployIndex.

See more: google.cloud.aiplatform_v1beta1.types.DeployIndexOperationMetadata

google.cloud.aiplatform_v1beta1.types.DeployIndexRequest

DeployIndexRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexEndpointService.DeployIndex.

See more: google.cloud.aiplatform_v1beta1.types.DeployIndexRequest

google.cloud.aiplatform_v1beta1.types.DeployIndexResponse

DeployIndexResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for IndexEndpointService.DeployIndex.

See more: google.cloud.aiplatform_v1beta1.types.DeployIndexResponse

google.cloud.aiplatform_v1beta1.types.DeployModelOperationMetadata

DeployModelOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for EndpointService.DeployModel.

See more: google.cloud.aiplatform_v1beta1.types.DeployModelOperationMetadata

google.cloud.aiplatform_v1beta1.types.DeployModelRequest

DeployModelRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for EndpointService.DeployModel.

See more: google.cloud.aiplatform_v1beta1.types.DeployModelRequest

google.cloud.aiplatform_v1beta1.types.DeployModelRequest.TrafficSplitEntry

TrafficSplitEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.DeployModelRequest.TrafficSplitEntry

google.cloud.aiplatform_v1beta1.types.DeployModelResponse

DeployModelResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for EndpointService.DeployModel.

See more: google.cloud.aiplatform_v1beta1.types.DeployModelResponse

google.cloud.aiplatform_v1beta1.types.DeployedIndex

DeployedIndex(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A deployment of an Index.

See more: google.cloud.aiplatform_v1beta1.types.DeployedIndex

google.cloud.aiplatform_v1beta1.types.DeployedIndexAuthConfig

DeployedIndexAuthConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Used to set up the auth on the DeployedIndex's private endpoint.

See more: google.cloud.aiplatform_v1beta1.types.DeployedIndexAuthConfig

google.cloud.aiplatform_v1beta1.types.DeployedIndexAuthConfig.AuthProvider

AuthProvider(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration for an authentication provider, including support for JSON Web Token (JWT) <https://tools.ietf.org/html/draft-ietf-oauth-json-web-token-32>__.

See more: google.cloud.aiplatform_v1beta1.types.DeployedIndexAuthConfig.AuthProvider

google.cloud.aiplatform_v1beta1.types.DeployedIndexRef

DeployedIndexRef(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Points to a DeployedIndex.

See more: google.cloud.aiplatform_v1beta1.types.DeployedIndexRef

google.cloud.aiplatform_v1beta1.types.DeployedModel

DeployedModel(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A deployment of a Model.

See more: google.cloud.aiplatform_v1beta1.types.DeployedModel

google.cloud.aiplatform_v1beta1.types.DeployedModelRef

DeployedModelRef(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Points to a DeployedModel.

See more: google.cloud.aiplatform_v1beta1.types.DeployedModelRef

google.cloud.aiplatform_v1beta1.types.DeploymentResourcePool

DeploymentResourcePool(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A description of resources that can be shared by multiple DeployedModels, whose underlying specification consists of a DedicatedResources.

See more: google.cloud.aiplatform_v1beta1.types.DeploymentResourcePool

google.cloud.aiplatform_v1beta1.types.DestinationFeatureSetting

DestinationFeatureSetting(mapping=None, *, ignore_unknown_fields=False, **kwargs)

See more: google.cloud.aiplatform_v1beta1.types.DestinationFeatureSetting

google.cloud.aiplatform_v1beta1.types.DirectPredictRequest

DirectPredictRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PredictionService.DirectPredict.

See more: google.cloud.aiplatform_v1beta1.types.DirectPredictRequest

google.cloud.aiplatform_v1beta1.types.DirectPredictResponse

DirectPredictResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for PredictionService.DirectPredict.

See more: google.cloud.aiplatform_v1beta1.types.DirectPredictResponse

google.cloud.aiplatform_v1beta1.types.DirectRawPredictRequest

DirectRawPredictRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PredictionService.DirectRawPredict.

See more: google.cloud.aiplatform_v1beta1.types.DirectRawPredictRequest

google.cloud.aiplatform_v1beta1.types.DirectRawPredictResponse

DirectRawPredictResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for PredictionService.DirectRawPredict.

See more: google.cloud.aiplatform_v1beta1.types.DirectRawPredictResponse

google.cloud.aiplatform_v1beta1.types.DirectUploadSource

DirectUploadSource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The input content is encapsulated and uploaded in the request.

See more: google.cloud.aiplatform_v1beta1.types.DirectUploadSource

google.cloud.aiplatform_v1beta1.types.DiskSpec

DiskSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents the spec of disk options.

See more: google.cloud.aiplatform_v1beta1.types.DiskSpec

google.cloud.aiplatform_v1beta1.types.DoubleArray

DoubleArray(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A list of double values.

See more: google.cloud.aiplatform_v1beta1.types.DoubleArray

google.cloud.aiplatform_v1beta1.types.EncryptionSpec

EncryptionSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a customer-managed encryption key spec that can be applied to a top-level resource.

See more: google.cloud.aiplatform_v1beta1.types.EncryptionSpec

google.cloud.aiplatform_v1beta1.types.Endpoint

Endpoint(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Models are deployed into it, and afterwards Endpoint is called to obtain predictions and explanations.

See more: google.cloud.aiplatform_v1beta1.types.Endpoint

google.cloud.aiplatform_v1beta1.types.Endpoint.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.Endpoint.LabelsEntry

google.cloud.aiplatform_v1beta1.types.Endpoint.TrafficSplitEntry

TrafficSplitEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.Endpoint.TrafficSplitEntry

google.cloud.aiplatform_v1beta1.types.EntityIdSelector

EntityIdSelector(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Selector for entityId.

See more: google.cloud.aiplatform_v1beta1.types.EntityIdSelector

google.cloud.aiplatform_v1beta1.types.EntityType

EntityType(mapping=None, *, ignore_unknown_fields=False, **kwargs)

An entity type is a type of object in a system that needs to be modeled and have stored information about.

See more: google.cloud.aiplatform_v1beta1.types.EntityType

google.cloud.aiplatform_v1beta1.types.EntityType.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.EntityType.LabelsEntry

google.cloud.aiplatform_v1beta1.types.EnvVar

EnvVar(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents an environment variable present in a Container or Python Module.

See more: google.cloud.aiplatform_v1beta1.types.EnvVar

google.cloud.aiplatform_v1beta1.types.ErrorAnalysisAnnotation

ErrorAnalysisAnnotation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Model error analysis for each annotation.

See more: google.cloud.aiplatform_v1beta1.types.ErrorAnalysisAnnotation

google.cloud.aiplatform_v1beta1.types.ErrorAnalysisAnnotation.AttributedItem

AttributedItem(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Attributed items for a given annotation, typically representing neighbors from the training sets constrained by the query type.

See more: google.cloud.aiplatform_v1beta1.types.ErrorAnalysisAnnotation.AttributedItem

google.cloud.aiplatform_v1beta1.types.ErrorAnalysisAnnotation.QueryType

QueryType(value)

The query type used for finding the attributed items.

See more: google.cloud.aiplatform_v1beta1.types.ErrorAnalysisAnnotation.QueryType

google.cloud.aiplatform_v1beta1.types.EvaluateInstancesRequest

EvaluateInstancesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for EvaluationService.EvaluateInstances.

See more: google.cloud.aiplatform_v1beta1.types.EvaluateInstancesRequest

google.cloud.aiplatform_v1beta1.types.EvaluateInstancesResponse

EvaluateInstancesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for EvaluationService.EvaluateInstances.

See more: google.cloud.aiplatform_v1beta1.types.EvaluateInstancesResponse

google.cloud.aiplatform_v1beta1.types.EvaluatedAnnotation

EvaluatedAnnotation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

True positive, false positive, or false negative.

See more: google.cloud.aiplatform_v1beta1.types.EvaluatedAnnotation

google.cloud.aiplatform_v1beta1.types.EvaluatedAnnotation.EvaluatedAnnotationType

EvaluatedAnnotationType(value)

Describes the type of the EvaluatedAnnotation.

See more: google.cloud.aiplatform_v1beta1.types.EvaluatedAnnotation.EvaluatedAnnotationType

google.cloud.aiplatform_v1beta1.types.EvaluatedAnnotationExplanation

EvaluatedAnnotationExplanation(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Explanation result of the prediction produced by the Model.

See more: google.cloud.aiplatform_v1beta1.types.EvaluatedAnnotationExplanation

google.cloud.aiplatform_v1beta1.types.Event

Event(mapping=None, *, ignore_unknown_fields=False, **kwargs)

An edge describing the relationship between an Artifact and an Execution in a lineage graph.

See more: google.cloud.aiplatform_v1beta1.types.Event

google.cloud.aiplatform_v1beta1.types.Event.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.Event.LabelsEntry

google.cloud.aiplatform_v1beta1.types.Event.Type

Type(value)

Describes whether an Event's Artifact is the Execution's input or output.

See more: google.cloud.aiplatform_v1beta1.types.Event.Type

google.cloud.aiplatform_v1beta1.types.ExactMatchInput

ExactMatchInput(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Input for exact match metric.

See more: google.cloud.aiplatform_v1beta1.types.ExactMatchInput

google.cloud.aiplatform_v1beta1.types.ExactMatchInstance

ExactMatchInstance(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for exact match instance.

See more: google.cloud.aiplatform_v1beta1.types.ExactMatchInstance

google.cloud.aiplatform_v1beta1.types.ExactMatchMetricValue

ExactMatchMetricValue(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Exact match metric value for an instance.

See more: google.cloud.aiplatform_v1beta1.types.ExactMatchMetricValue

google.cloud.aiplatform_v1beta1.types.ExactMatchResults

ExactMatchResults(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Results for exact match metric.

See more: google.cloud.aiplatform_v1beta1.types.ExactMatchResults

google.cloud.aiplatform_v1beta1.types.ExactMatchSpec

ExactMatchSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for exact match metric - returns 1 if prediction and reference exactly matches, otherwise 0.

See more: google.cloud.aiplatform_v1beta1.types.ExactMatchSpec

google.cloud.aiplatform_v1beta1.types.Examples

Examples(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Example-based explainability that returns the nearest neighbors from the provided dataset.

See more: google.cloud.aiplatform_v1beta1.types.Examples

google.cloud.aiplatform_v1beta1.types.Examples.ExampleGcsSource

ExampleGcsSource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The Cloud Storage input instances.

See more: google.cloud.aiplatform_v1beta1.types.Examples.ExampleGcsSource

google.cloud.aiplatform_v1beta1.types.Examples.ExampleGcsSource.DataFormat

DataFormat(value)

The format of the input example instances.

See more: google.cloud.aiplatform_v1beta1.types.Examples.ExampleGcsSource.DataFormat

google.cloud.aiplatform_v1beta1.types.ExamplesOverride

ExamplesOverride(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Overrides for example-based explanations.

See more: google.cloud.aiplatform_v1beta1.types.ExamplesOverride

google.cloud.aiplatform_v1beta1.types.ExamplesOverride.DataFormat

DataFormat(value)

Data format enum.

See more: google.cloud.aiplatform_v1beta1.types.ExamplesOverride.DataFormat

google.cloud.aiplatform_v1beta1.types.ExamplesRestrictionsNamespace

ExamplesRestrictionsNamespace(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Restrictions namespace for example-based explanations overrides.

See more: google.cloud.aiplatform_v1beta1.types.ExamplesRestrictionsNamespace

google.cloud.aiplatform_v1beta1.types.ExecuteExtensionRequest

ExecuteExtensionRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ExtensionExecutionService.ExecuteExtension.

See more: google.cloud.aiplatform_v1beta1.types.ExecuteExtensionRequest

google.cloud.aiplatform_v1beta1.types.ExecuteExtensionResponse

ExecuteExtensionResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for ExtensionExecutionService.ExecuteExtension.

See more: google.cloud.aiplatform_v1beta1.types.ExecuteExtensionResponse

google.cloud.aiplatform_v1beta1.types.Execution

Execution(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Instance of a general execution.

See more: google.cloud.aiplatform_v1beta1.types.Execution

google.cloud.aiplatform_v1beta1.types.Execution.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.Execution.LabelsEntry

google.cloud.aiplatform_v1beta1.types.Execution.State

State(value)

Describes the state of the Execution.

See more: google.cloud.aiplatform_v1beta1.types.Execution.State

google.cloud.aiplatform_v1beta1.types.ExplainRequest

ExplainRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PredictionService.Explain.

See more: google.cloud.aiplatform_v1beta1.types.ExplainRequest

google.cloud.aiplatform_v1beta1.types.ExplainRequest.ConcurrentExplanationSpecOverrideEntry

ConcurrentExplanationSpecOverrideEntry(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.ExplainRequest.ConcurrentExplanationSpecOverrideEntry

google.cloud.aiplatform_v1beta1.types.ExplainResponse

ExplainResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for PredictionService.Explain.

See more: google.cloud.aiplatform_v1beta1.types.ExplainResponse

google.cloud.aiplatform_v1beta1.types.ExplainResponse.ConcurrentExplanation

ConcurrentExplanation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

This message is a wrapper grouping Concurrent Explanations.

See more: google.cloud.aiplatform_v1beta1.types.ExplainResponse.ConcurrentExplanation

google.cloud.aiplatform_v1beta1.types.ExplainResponse.ConcurrentExplanationsEntry

ConcurrentExplanationsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.ExplainResponse.ConcurrentExplanationsEntry

google.cloud.aiplatform_v1beta1.types.Explanation

Explanation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Explanation of a prediction (provided in PredictResponse.predictions) produced by the Model on a given instance.

See more: google.cloud.aiplatform_v1beta1.types.Explanation

google.cloud.aiplatform_v1beta1.types.ExplanationMetadata

ExplanationMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Metadata describing the Model's input and output for explanation.

See more: google.cloud.aiplatform_v1beta1.types.ExplanationMetadata

google.cloud.aiplatform_v1beta1.types.ExplanationMetadata.InputMetadata

InputMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Metadata of the input of a feature.

See more: google.cloud.aiplatform_v1beta1.types.ExplanationMetadata.InputMetadata

google.cloud.aiplatform_v1beta1.types.ExplanationMetadata.InputMetadata.Encoding

Encoding(value)

Defines how a feature is encoded.

See more: google.cloud.aiplatform_v1beta1.types.ExplanationMetadata.InputMetadata.Encoding

google.cloud.aiplatform_v1beta1.types.ExplanationMetadata.InputMetadata.FeatureValueDomain

FeatureValueDomain(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Domain details of the input feature value.

See more: google.cloud.aiplatform_v1beta1.types.ExplanationMetadata.InputMetadata.FeatureValueDomain

google.cloud.aiplatform_v1beta1.types.ExplanationMetadata.InputMetadata.Visualization

Visualization(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Visualization configurations for image explanation.

See more: google.cloud.aiplatform_v1beta1.types.ExplanationMetadata.InputMetadata.Visualization

google.cloud.aiplatform_v1beta1.types.ExplanationMetadata.InputMetadata.Visualization.ColorMap

ColorMap(value)

The color scheme used for highlighting areas.

See more: google.cloud.aiplatform_v1beta1.types.ExplanationMetadata.InputMetadata.Visualization.ColorMap

google.cloud.aiplatform_v1beta1.types.ExplanationMetadata.InputMetadata.Visualization.OverlayType

OverlayType(value)

How the original image is displayed in the visualization.

See more: google.cloud.aiplatform_v1beta1.types.ExplanationMetadata.InputMetadata.Visualization.OverlayType

google.cloud.aiplatform_v1beta1.types.ExplanationMetadata.InputMetadata.Visualization.Polarity

Polarity(value)

Whether to only highlight pixels with positive contributions, negative or both.

See more: google.cloud.aiplatform_v1beta1.types.ExplanationMetadata.InputMetadata.Visualization.Polarity

google.cloud.aiplatform_v1beta1.types.ExplanationMetadata.InputMetadata.Visualization.Type

Type(value)

Type of the image visualization.

See more: google.cloud.aiplatform_v1beta1.types.ExplanationMetadata.InputMetadata.Visualization.Type

google.cloud.aiplatform_v1beta1.types.ExplanationMetadata.InputsEntry

InputsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.ExplanationMetadata.InputsEntry

google.cloud.aiplatform_v1beta1.types.ExplanationMetadata.OutputMetadata

OutputMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Metadata of the prediction output to be explained.

See more: google.cloud.aiplatform_v1beta1.types.ExplanationMetadata.OutputMetadata

google.cloud.aiplatform_v1beta1.types.ExplanationMetadata.OutputsEntry

OutputsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.ExplanationMetadata.OutputsEntry

google.cloud.aiplatform_v1beta1.types.ExplanationMetadataOverride

ExplanationMetadataOverride(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The ExplanationMetadata entries that can be overridden at [online explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.

See more: google.cloud.aiplatform_v1beta1.types.ExplanationMetadataOverride

google.cloud.aiplatform_v1beta1.types.ExplanationMetadataOverride.InputMetadataOverride

InputMetadataOverride(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata] entries to be overridden.

See more: google.cloud.aiplatform_v1beta1.types.ExplanationMetadataOverride.InputMetadataOverride

google.cloud.aiplatform_v1beta1.types.ExplanationMetadataOverride.InputsEntry

InputsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.ExplanationMetadataOverride.InputsEntry

google.cloud.aiplatform_v1beta1.types.ExplanationParameters

ExplanationParameters(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Parameters to configure explaining for Model's predictions.

See more: google.cloud.aiplatform_v1beta1.types.ExplanationParameters

google.cloud.aiplatform_v1beta1.types.ExplanationSpec

ExplanationSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Specification of Model explanation.

See more: google.cloud.aiplatform_v1beta1.types.ExplanationSpec

google.cloud.aiplatform_v1beta1.types.ExplanationSpecOverride

ExplanationSpecOverride(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The ExplanationSpec entries that can be overridden at [online explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.

See more: google.cloud.aiplatform_v1beta1.types.ExplanationSpecOverride

google.cloud.aiplatform_v1beta1.types.ExportDataConfig

ExportDataConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Describes what part of the Dataset is to be exported, the destination of the export and how to export.

See more: google.cloud.aiplatform_v1beta1.types.ExportDataConfig

google.cloud.aiplatform_v1beta1.types.ExportDataOperationMetadata

ExportDataOperationMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Runtime operation information for DatasetService.ExportData.

See more: google.cloud.aiplatform_v1beta1.types.ExportDataOperationMetadata

google.cloud.aiplatform_v1beta1.types.ExportDataRequest

ExportDataRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.ExportData.

See more: google.cloud.aiplatform_v1beta1.types.ExportDataRequest

google.cloud.aiplatform_v1beta1.types.ExportDataResponse

ExportDataResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for DatasetService.ExportData.

See more: google.cloud.aiplatform_v1beta1.types.ExportDataResponse

google.cloud.aiplatform_v1beta1.types.ExportFeatureValuesOperationMetadata

ExportFeatureValuesOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that exports Features values.

See more: google.cloud.aiplatform_v1beta1.types.ExportFeatureValuesOperationMetadata

google.cloud.aiplatform_v1beta1.types.ExportFeatureValuesRequest

ExportFeatureValuesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.ExportFeatureValues.

See more: google.cloud.aiplatform_v1beta1.types.ExportFeatureValuesRequest

google.cloud.aiplatform_v1beta1.types.ExportFeatureValuesRequest.FullExport

FullExport(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Describes exporting all historical Feature values of all entities of the EntityType between [start_time, end_time].

See more: google.cloud.aiplatform_v1beta1.types.ExportFeatureValuesRequest.FullExport

google.cloud.aiplatform_v1beta1.types.ExportFeatureValuesRequest.SnapshotExport

SnapshotExport(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Describes exporting the latest Feature values of all entities of the EntityType between [start_time, snapshot_time].

See more: google.cloud.aiplatform_v1beta1.types.ExportFeatureValuesRequest.SnapshotExport

google.cloud.aiplatform_v1beta1.types.ExportFeatureValuesResponse

ExportFeatureValuesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeaturestoreService.ExportFeatureValues.

See more: google.cloud.aiplatform_v1beta1.types.ExportFeatureValuesResponse

google.cloud.aiplatform_v1beta1.types.ExportFractionSplit

ExportFractionSplit(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Assigns the input data to training, validation, and test sets as per the given fractions.

See more: google.cloud.aiplatform_v1beta1.types.ExportFractionSplit

google.cloud.aiplatform_v1beta1.types.ExportModelOperationMetadata

ExportModelOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of ModelService.ExportModel operation.

See more: google.cloud.aiplatform_v1beta1.types.ExportModelOperationMetadata

google.cloud.aiplatform_v1beta1.types.ExportModelOperationMetadata.OutputInfo

OutputInfo(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Further describes the output of the ExportModel.

See more: google.cloud.aiplatform_v1beta1.types.ExportModelOperationMetadata.OutputInfo

google.cloud.aiplatform_v1beta1.types.ExportModelRequest

ExportModelRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelService.ExportModel.

See more: google.cloud.aiplatform_v1beta1.types.ExportModelRequest

google.cloud.aiplatform_v1beta1.types.ExportModelRequest.OutputConfig

OutputConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Output configuration for the Model export.

See more: google.cloud.aiplatform_v1beta1.types.ExportModelRequest.OutputConfig

google.cloud.aiplatform_v1beta1.types.ExportModelResponse

ExportModelResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message of ModelService.ExportModel operation.

See more: google.cloud.aiplatform_v1beta1.types.ExportModelResponse

google.cloud.aiplatform_v1beta1.types.ExportTensorboardTimeSeriesDataRequest

ExportTensorboardTimeSeriesDataRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.ExportTensorboardTimeSeriesData.

See more: google.cloud.aiplatform_v1beta1.types.ExportTensorboardTimeSeriesDataRequest

google.cloud.aiplatform_v1beta1.types.ExportTensorboardTimeSeriesDataResponse

ExportTensorboardTimeSeriesDataResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for TensorboardService.ExportTensorboardTimeSeriesData.

See more: google.cloud.aiplatform_v1beta1.types.ExportTensorboardTimeSeriesDataResponse

google.cloud.aiplatform_v1beta1.types.Extension

Extension(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Extensions are tools for large language models to access external data, run computations, etc.

See more: google.cloud.aiplatform_v1beta1.types.Extension

google.cloud.aiplatform_v1beta1.types.ExtensionManifest

ExtensionManifest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Manifest spec of an Extension needed for runtime execution.

See more: google.cloud.aiplatform_v1beta1.types.ExtensionManifest

google.cloud.aiplatform_v1beta1.types.ExtensionManifest.ApiSpec

ApiSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The API specification shown to the LLM.

See more: google.cloud.aiplatform_v1beta1.types.ExtensionManifest.ApiSpec

google.cloud.aiplatform_v1beta1.types.ExtensionOperation

ExtensionOperation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Operation of an extension.

See more: google.cloud.aiplatform_v1beta1.types.ExtensionOperation

google.cloud.aiplatform_v1beta1.types.ExtensionPrivateServiceConnectConfig

ExtensionPrivateServiceConnectConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

PrivateExtensionConfig configuration for the extension.

See more: google.cloud.aiplatform_v1beta1.types.ExtensionPrivateServiceConnectConfig

google.cloud.aiplatform_v1beta1.types.Feature

Feature(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Feature Metadata information.

See more: google.cloud.aiplatform_v1beta1.types.Feature

google.cloud.aiplatform_v1beta1.types.Feature.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.Feature.LabelsEntry

google.cloud.aiplatform_v1beta1.types.Feature.MonitoringStatsAnomaly

MonitoringStatsAnomaly(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A list of historical SnapshotAnalysis or ImportFeaturesAnalysis stats requested by user, sorted by FeatureStatsAnomaly.start_time descending.

See more: google.cloud.aiplatform_v1beta1.types.Feature.MonitoringStatsAnomaly

google.cloud.aiplatform_v1beta1.types.Feature.MonitoringStatsAnomaly.Objective

Objective(value)

If the objective in the request is both Import Feature Analysis and Snapshot Analysis, this objective could be one of them.

See more: google.cloud.aiplatform_v1beta1.types.Feature.MonitoringStatsAnomaly.Objective

google.cloud.aiplatform_v1beta1.types.Feature.ValueType

ValueType(value)

Only applicable for Vertex AI Legacy Feature Store.

See more: google.cloud.aiplatform_v1beta1.types.Feature.ValueType

google.cloud.aiplatform_v1beta1.types.FeatureGroup

FeatureGroup(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Vertex AI Feature Group.

See more: google.cloud.aiplatform_v1beta1.types.FeatureGroup

google.cloud.aiplatform_v1beta1.types.FeatureGroup.BigQuery

BigQuery(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Input source type for BigQuery Tables and Views.

See more: google.cloud.aiplatform_v1beta1.types.FeatureGroup.BigQuery

google.cloud.aiplatform_v1beta1.types.FeatureGroup.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.FeatureGroup.LabelsEntry

google.cloud.aiplatform_v1beta1.types.FeatureNoiseSigma

FeatureNoiseSigma(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Noise sigma by features.

See more: google.cloud.aiplatform_v1beta1.types.FeatureNoiseSigma

google.cloud.aiplatform_v1beta1.types.FeatureNoiseSigma.NoiseSigmaForFeature

NoiseSigmaForFeature(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Noise sigma for a single feature.

See more: google.cloud.aiplatform_v1beta1.types.FeatureNoiseSigma.NoiseSigmaForFeature

google.cloud.aiplatform_v1beta1.types.FeatureOnlineStore

FeatureOnlineStore(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Vertex AI Feature Online Store provides a centralized repository for serving ML features and embedding indexes at low latency.

See more: google.cloud.aiplatform_v1beta1.types.FeatureOnlineStore

google.cloud.aiplatform_v1beta1.types.FeatureOnlineStore.Bigtable

Bigtable(mapping=None, *, ignore_unknown_fields=False, **kwargs)

See more: google.cloud.aiplatform_v1beta1.types.FeatureOnlineStore.Bigtable

google.cloud.aiplatform_v1beta1.types.FeatureOnlineStore.Bigtable.AutoScaling

AutoScaling(mapping=None, *, ignore_unknown_fields=False, **kwargs)

See more: google.cloud.aiplatform_v1beta1.types.FeatureOnlineStore.Bigtable.AutoScaling

google.cloud.aiplatform_v1beta1.types.FeatureOnlineStore.DedicatedServingEndpoint

DedicatedServingEndpoint(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The dedicated serving endpoint for this FeatureOnlineStore.

See more: google.cloud.aiplatform_v1beta1.types.FeatureOnlineStore.DedicatedServingEndpoint

google.cloud.aiplatform_v1beta1.types.FeatureOnlineStore.EmbeddingManagement

EmbeddingManagement(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Deprecated: This sub message is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type.

See more: google.cloud.aiplatform_v1beta1.types.FeatureOnlineStore.EmbeddingManagement

google.cloud.aiplatform_v1beta1.types.FeatureOnlineStore.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.FeatureOnlineStore.LabelsEntry

google.cloud.aiplatform_v1beta1.types.FeatureOnlineStore.Optimized

Optimized(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Optimized storage type.

See more: google.cloud.aiplatform_v1beta1.types.FeatureOnlineStore.Optimized

google.cloud.aiplatform_v1beta1.types.FeatureOnlineStore.State

State(value)

Possible states a featureOnlineStore can have.

See more: google.cloud.aiplatform_v1beta1.types.FeatureOnlineStore.State

google.cloud.aiplatform_v1beta1.types.FeatureSelector

FeatureSelector(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Selector for Features of an EntityType.

See more: google.cloud.aiplatform_v1beta1.types.FeatureSelector

google.cloud.aiplatform_v1beta1.types.FeatureStatsAnomaly

FeatureStatsAnomaly(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Stats and Anomaly generated at specific timestamp for specific Feature.

See more: google.cloud.aiplatform_v1beta1.types.FeatureStatsAnomaly

google.cloud.aiplatform_v1beta1.types.FeatureValue

FeatureValue(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Value for a feature.

See more: google.cloud.aiplatform_v1beta1.types.FeatureValue

google.cloud.aiplatform_v1beta1.types.FeatureValue.Metadata

Metadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Metadata of feature value.

See more: google.cloud.aiplatform_v1beta1.types.FeatureValue.Metadata

google.cloud.aiplatform_v1beta1.types.FeatureValueDestination

FeatureValueDestination(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A destination location for Feature values and format.

See more: google.cloud.aiplatform_v1beta1.types.FeatureValueDestination

google.cloud.aiplatform_v1beta1.types.FeatureValueList

FeatureValueList(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Container for list of values.

See more: google.cloud.aiplatform_v1beta1.types.FeatureValueList

google.cloud.aiplatform_v1beta1.types.FeatureView

FeatureView(mapping=None, *, ignore_unknown_fields=False, **kwargs)

FeatureView is representation of values that the FeatureOnlineStore will serve based on its syncConfig.

See more: google.cloud.aiplatform_v1beta1.types.FeatureView

google.cloud.aiplatform_v1beta1.types.FeatureView.BigQuerySource

BigQuerySource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

See more: google.cloud.aiplatform_v1beta1.types.FeatureView.BigQuerySource

google.cloud.aiplatform_v1beta1.types.FeatureView.FeatureRegistrySource

FeatureRegistrySource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A Feature Registry source for features that need to be synced to Online Store.

See more: google.cloud.aiplatform_v1beta1.types.FeatureView.FeatureRegistrySource

google.cloud.aiplatform_v1beta1.types.FeatureView.FeatureRegistrySource.FeatureGroup

FeatureGroup(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Features belonging to a single feature group that will be synced to Online Store.

See more: google.cloud.aiplatform_v1beta1.types.FeatureView.FeatureRegistrySource.FeatureGroup

google.cloud.aiplatform_v1beta1.types.FeatureView.IndexConfig

IndexConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration for vector indexing.

See more: google.cloud.aiplatform_v1beta1.types.FeatureView.IndexConfig

google.cloud.aiplatform_v1beta1.types.FeatureView.IndexConfig.BruteForceConfig

BruteForceConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration options for using brute force search.

See more: google.cloud.aiplatform_v1beta1.types.FeatureView.IndexConfig.BruteForceConfig

google.cloud.aiplatform_v1beta1.types.FeatureView.IndexConfig.DistanceMeasureType

DistanceMeasureType(value)

The distance measure used in nearest neighbor search.

See more: google.cloud.aiplatform_v1beta1.types.FeatureView.IndexConfig.DistanceMeasureType

google.cloud.aiplatform_v1beta1.types.FeatureView.IndexConfig.TreeAHConfig

TreeAHConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration options for the tree-AH algorithm.

See more: google.cloud.aiplatform_v1beta1.types.FeatureView.IndexConfig.TreeAHConfig

google.cloud.aiplatform_v1beta1.types.FeatureView.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.FeatureView.LabelsEntry

google.cloud.aiplatform_v1beta1.types.FeatureView.ServiceAgentType

ServiceAgentType(value)

Service agent type used during data sync.

See more: google.cloud.aiplatform_v1beta1.types.FeatureView.ServiceAgentType

google.cloud.aiplatform_v1beta1.types.FeatureView.SyncConfig

SyncConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration for Sync.

See more: google.cloud.aiplatform_v1beta1.types.FeatureView.SyncConfig

google.cloud.aiplatform_v1beta1.types.FeatureView.VectorSearchConfig

VectorSearchConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Deprecated.

See more: google.cloud.aiplatform_v1beta1.types.FeatureView.VectorSearchConfig

google.cloud.aiplatform_v1beta1.types.FeatureView.VectorSearchConfig.DistanceMeasureType

DistanceMeasureType(value)

Values: DISTANCE_MEASURE_TYPE_UNSPECIFIED (0): Should not be set.

See more: google.cloud.aiplatform_v1beta1.types.FeatureView.VectorSearchConfig.DistanceMeasureType

google.cloud.aiplatform_v1beta1.types.FeatureView.VectorSearchConfig.TreeAHConfig

TreeAHConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

.

See more: google.cloud.aiplatform_v1beta1.types.FeatureView.VectorSearchConfig.TreeAHConfig

google.cloud.aiplatform_v1beta1.types.FeatureViewDataFormat

FeatureViewDataFormat(value)

Format of the data in the Feature View.

See more: google.cloud.aiplatform_v1beta1.types.FeatureViewDataFormat

google.cloud.aiplatform_v1beta1.types.FeatureViewDataKey

FeatureViewDataKey(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Lookup key for a feature view.

See more: google.cloud.aiplatform_v1beta1.types.FeatureViewDataKey

google.cloud.aiplatform_v1beta1.types.FeatureViewDataKey.CompositeKey

CompositeKey(mapping=None, *, ignore_unknown_fields=False, **kwargs)

ID that is comprised from several parts (columns).

See more: google.cloud.aiplatform_v1beta1.types.FeatureViewDataKey.CompositeKey

google.cloud.aiplatform_v1beta1.types.FeatureViewSync

FeatureViewSync(mapping=None, *, ignore_unknown_fields=False, **kwargs)

FeatureViewSync is a representation of sync operation which copies data from data source to Feature View in Online Store.

See more: google.cloud.aiplatform_v1beta1.types.FeatureViewSync

google.cloud.aiplatform_v1beta1.types.FeatureViewSync.SyncSummary

SyncSummary(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Summary from the Sync job.

See more: google.cloud.aiplatform_v1beta1.types.FeatureViewSync.SyncSummary

google.cloud.aiplatform_v1beta1.types.Featurestore

Featurestore(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Vertex AI Feature Store provides a centralized repository for organizing, storing, and serving ML features.

See more: google.cloud.aiplatform_v1beta1.types.Featurestore

google.cloud.aiplatform_v1beta1.types.Featurestore.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.Featurestore.LabelsEntry

google.cloud.aiplatform_v1beta1.types.Featurestore.OnlineServingConfig

OnlineServingConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

OnlineServingConfig specifies the details for provisioning online serving resources.

See more: google.cloud.aiplatform_v1beta1.types.Featurestore.OnlineServingConfig

google.cloud.aiplatform_v1beta1.types.Featurestore.OnlineServingConfig.Scaling

Scaling(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Online serving scaling configuration.

See more: google.cloud.aiplatform_v1beta1.types.Featurestore.OnlineServingConfig.Scaling

google.cloud.aiplatform_v1beta1.types.Featurestore.State

State(value)

Possible states a featurestore can have.

See more: google.cloud.aiplatform_v1beta1.types.Featurestore.State

google.cloud.aiplatform_v1beta1.types.FeaturestoreMonitoringConfig

FeaturestoreMonitoringConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Configuration of how features in Featurestore are monitored.

See more: google.cloud.aiplatform_v1beta1.types.FeaturestoreMonitoringConfig

google.cloud.aiplatform_v1beta1.types.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis

ImportFeaturesAnalysis(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration of the Featurestore's ImportFeature Analysis Based Monitoring.

See more: google.cloud.aiplatform_v1beta1.types.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis

google.cloud.aiplatform_v1beta1.types.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Baseline

Baseline(value)

Defines the baseline to do anomaly detection for feature values imported by each ImportFeatureValues operation.

See more: google.cloud.aiplatform_v1beta1.types.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Baseline

google.cloud.aiplatform_v1beta1.types.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.State

State(value)

The state defines whether to enable ImportFeature analysis.

See more: google.cloud.aiplatform_v1beta1.types.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.State

google.cloud.aiplatform_v1beta1.types.FeaturestoreMonitoringConfig.SnapshotAnalysis

SnapshotAnalysis(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration of the Featurestore's Snapshot Analysis Based Monitoring.

See more: google.cloud.aiplatform_v1beta1.types.FeaturestoreMonitoringConfig.SnapshotAnalysis

google.cloud.aiplatform_v1beta1.types.FeaturestoreMonitoringConfig.ThresholdConfig

ThresholdConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The config for Featurestore Monitoring threshold.

See more: google.cloud.aiplatform_v1beta1.types.FeaturestoreMonitoringConfig.ThresholdConfig

google.cloud.aiplatform_v1beta1.types.FetchFeatureValuesRequest

FetchFeatureValuesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureOnlineStoreService.FetchFeatureValues.

See more: google.cloud.aiplatform_v1beta1.types.FetchFeatureValuesRequest

google.cloud.aiplatform_v1beta1.types.FetchFeatureValuesRequest.Format

Format(value)

Format of the response data.

See more: google.cloud.aiplatform_v1beta1.types.FetchFeatureValuesRequest.Format

google.cloud.aiplatform_v1beta1.types.FetchFeatureValuesResponse

FetchFeatureValuesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeatureOnlineStoreService.FetchFeatureValues.

See more: google.cloud.aiplatform_v1beta1.types.FetchFeatureValuesResponse

google.cloud.aiplatform_v1beta1.types.FetchFeatureValuesResponse.FeatureNameValuePairList

FeatureNameValuePairList(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response structure in the format of key (feature name) and (feature) value pair.

See more: google.cloud.aiplatform_v1beta1.types.FetchFeatureValuesResponse.FeatureNameValuePairList

google.cloud.aiplatform_v1beta1.types.FetchFeatureValuesResponse.FeatureNameValuePairList.FeatureNameValuePair

FeatureNameValuePair(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Feature name & value pair.

See more: google.cloud.aiplatform_v1beta1.types.FetchFeatureValuesResponse.FeatureNameValuePairList.FeatureNameValuePair

google.cloud.aiplatform_v1beta1.types.FileData

FileData(mapping=None, *, ignore_unknown_fields=False, **kwargs)

URI based data.

See more: google.cloud.aiplatform_v1beta1.types.FileData

google.cloud.aiplatform_v1beta1.types.FilterSplit

FilterSplit(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Assigns input data to training, validation, and test sets based on the given filters, data pieces not matched by any filter are ignored.

See more: google.cloud.aiplatform_v1beta1.types.FilterSplit

google.cloud.aiplatform_v1beta1.types.FindNeighborsRequest

FindNeighborsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The request message for MatchService.FindNeighbors.

See more: google.cloud.aiplatform_v1beta1.types.FindNeighborsRequest

google.cloud.aiplatform_v1beta1.types.FindNeighborsRequest.Query

Query(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A query to find a number of the nearest neighbors (most similar vectors) of a vector.

See more: google.cloud.aiplatform_v1beta1.types.FindNeighborsRequest.Query

google.cloud.aiplatform_v1beta1.types.FindNeighborsResponse

FindNeighborsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The response message for MatchService.FindNeighbors.

See more: google.cloud.aiplatform_v1beta1.types.FindNeighborsResponse

google.cloud.aiplatform_v1beta1.types.FindNeighborsResponse.NearestNeighbors

NearestNeighbors(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Nearest neighbors for one query.

See more: google.cloud.aiplatform_v1beta1.types.FindNeighborsResponse.NearestNeighbors

google.cloud.aiplatform_v1beta1.types.FindNeighborsResponse.Neighbor

Neighbor(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A neighbor of the query vector.

See more: google.cloud.aiplatform_v1beta1.types.FindNeighborsResponse.Neighbor

google.cloud.aiplatform_v1beta1.types.FluencyInput

FluencyInput(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Input for fluency metric.

See more: google.cloud.aiplatform_v1beta1.types.FluencyInput

google.cloud.aiplatform_v1beta1.types.FluencyInstance

FluencyInstance(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for fluency instance.

See more: google.cloud.aiplatform_v1beta1.types.FluencyInstance

google.cloud.aiplatform_v1beta1.types.FluencyResult

FluencyResult(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for fluency result.

See more: google.cloud.aiplatform_v1beta1.types.FluencyResult

google.cloud.aiplatform_v1beta1.types.FluencySpec

FluencySpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for fluency score metric.

See more: google.cloud.aiplatform_v1beta1.types.FluencySpec

google.cloud.aiplatform_v1beta1.types.FractionSplit

FractionSplit(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Assigns the input data to training, validation, and test sets as per the given fractions.

See more: google.cloud.aiplatform_v1beta1.types.FractionSplit

google.cloud.aiplatform_v1beta1.types.FulfillmentInput

FulfillmentInput(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Input for fulfillment metric.

See more: google.cloud.aiplatform_v1beta1.types.FulfillmentInput

google.cloud.aiplatform_v1beta1.types.FulfillmentInstance

FulfillmentInstance(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for fulfillment instance.

See more: google.cloud.aiplatform_v1beta1.types.FulfillmentInstance

google.cloud.aiplatform_v1beta1.types.FulfillmentResult

FulfillmentResult(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for fulfillment result.

See more: google.cloud.aiplatform_v1beta1.types.FulfillmentResult

google.cloud.aiplatform_v1beta1.types.FulfillmentSpec

FulfillmentSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for fulfillment metric.

See more: google.cloud.aiplatform_v1beta1.types.FulfillmentSpec

google.cloud.aiplatform_v1beta1.types.FunctionCall

FunctionCall(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing the parameters and their values.

See more: google.cloud.aiplatform_v1beta1.types.FunctionCall

google.cloud.aiplatform_v1beta1.types.FunctionCallingConfig

FunctionCallingConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Function calling config.

See more: google.cloud.aiplatform_v1beta1.types.FunctionCallingConfig

google.cloud.aiplatform_v1beta1.types.FunctionCallingConfig.Mode

Mode(value)

Function calling mode.

See more: google.cloud.aiplatform_v1beta1.types.FunctionCallingConfig.Mode

google.cloud.aiplatform_v1beta1.types.FunctionDeclaration

FunctionDeclaration(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Structured representation of a function declaration as defined by the OpenAPI 3.0 specification <https://spec.openapis.org/oas/v3.0.3>__.

See more: google.cloud.aiplatform_v1beta1.types.FunctionDeclaration

google.cloud.aiplatform_v1beta1.types.FunctionResponse

FunctionResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The result output from a [FunctionCall] that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing any output from the function is used as context to the model.

See more: google.cloud.aiplatform_v1beta1.types.FunctionResponse

google.cloud.aiplatform_v1beta1.types.GcsDestination

GcsDestination(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The Google Cloud Storage location where the output is to be written to.

See more: google.cloud.aiplatform_v1beta1.types.GcsDestination

google.cloud.aiplatform_v1beta1.types.GcsSource

GcsSource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The Google Cloud Storage location for the input content.

See more: google.cloud.aiplatform_v1beta1.types.GcsSource

google.cloud.aiplatform_v1beta1.types.GenerateContentRequest

GenerateContentRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for [PredictionService.GenerateContent].

See more: google.cloud.aiplatform_v1beta1.types.GenerateContentRequest

google.cloud.aiplatform_v1beta1.types.GenerateContentResponse

GenerateContentResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for [PredictionService.GenerateContent].

See more: google.cloud.aiplatform_v1beta1.types.GenerateContentResponse

google.cloud.aiplatform_v1beta1.types.GenerateContentResponse.PromptFeedback

PromptFeedback(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Content filter results for a prompt sent in the request.

See more: google.cloud.aiplatform_v1beta1.types.GenerateContentResponse.PromptFeedback

google.cloud.aiplatform_v1beta1.types.GenerateContentResponse.PromptFeedback.BlockedReason

BlockedReason(value)

Blocked reason enumeration.

See more: google.cloud.aiplatform_v1beta1.types.GenerateContentResponse.PromptFeedback.BlockedReason

google.cloud.aiplatform_v1beta1.types.GenerateContentResponse.UsageMetadata

UsageMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Usage metadata about response(s).

See more: google.cloud.aiplatform_v1beta1.types.GenerateContentResponse.UsageMetadata

google.cloud.aiplatform_v1beta1.types.GenerationConfig

GenerationConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Generation config.

See more: google.cloud.aiplatform_v1beta1.types.GenerationConfig

google.cloud.aiplatform_v1beta1.types.GenericOperationMetadata

GenericOperationMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Generic Metadata shared by all operations.

See more: google.cloud.aiplatform_v1beta1.types.GenericOperationMetadata

google.cloud.aiplatform_v1beta1.types.GenieSource

GenieSource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Contains information about the source of the models generated from Generative AI Studio.

See more: google.cloud.aiplatform_v1beta1.types.GenieSource

google.cloud.aiplatform_v1beta1.types.GetAnnotationSpecRequest

GetAnnotationSpecRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.GetAnnotationSpec.

See more: google.cloud.aiplatform_v1beta1.types.GetAnnotationSpecRequest

google.cloud.aiplatform_v1beta1.types.GetArtifactRequest

GetArtifactRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.GetArtifact.

See more: google.cloud.aiplatform_v1beta1.types.GetArtifactRequest

google.cloud.aiplatform_v1beta1.types.GetBatchPredictionJobRequest

GetBatchPredictionJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.GetBatchPredictionJob.

See more: google.cloud.aiplatform_v1beta1.types.GetBatchPredictionJobRequest

google.cloud.aiplatform_v1beta1.types.GetContextRequest

GetContextRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.GetContext.

See more: google.cloud.aiplatform_v1beta1.types.GetContextRequest

google.cloud.aiplatform_v1beta1.types.GetCustomJobRequest

GetCustomJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.GetCustomJob.

See more: google.cloud.aiplatform_v1beta1.types.GetCustomJobRequest

google.cloud.aiplatform_v1beta1.types.GetDataLabelingJobRequest

GetDataLabelingJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.GetDataLabelingJob.

See more: google.cloud.aiplatform_v1beta1.types.GetDataLabelingJobRequest

google.cloud.aiplatform_v1beta1.types.GetDatasetRequest

GetDatasetRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.GetDataset.

See more: google.cloud.aiplatform_v1beta1.types.GetDatasetRequest

google.cloud.aiplatform_v1beta1.types.GetDatasetVersionRequest

GetDatasetVersionRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.GetDatasetVersion.

See more: google.cloud.aiplatform_v1beta1.types.GetDatasetVersionRequest

google.cloud.aiplatform_v1beta1.types.GetDeploymentResourcePoolRequest

GetDeploymentResourcePoolRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for GetDeploymentResourcePool method.

See more: google.cloud.aiplatform_v1beta1.types.GetDeploymentResourcePoolRequest

google.cloud.aiplatform_v1beta1.types.GetEndpointRequest

GetEndpointRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for EndpointService.GetEndpoint .

See more: google.cloud.aiplatform_v1beta1.types.GetEndpointRequest

google.cloud.aiplatform_v1beta1.types.GetEntityTypeRequest

GetEntityTypeRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.GetEntityType.

See more: google.cloud.aiplatform_v1beta1.types.GetEntityTypeRequest

google.cloud.aiplatform_v1beta1.types.GetExecutionRequest

GetExecutionRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.GetExecution.

See more: google.cloud.aiplatform_v1beta1.types.GetExecutionRequest

google.cloud.aiplatform_v1beta1.types.GetExtensionRequest

GetExtensionRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ExtensionRegistryService.GetExtension.

See more: google.cloud.aiplatform_v1beta1.types.GetExtensionRequest

google.cloud.aiplatform_v1beta1.types.GetFeatureGroupRequest

GetFeatureGroupRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureRegistryService.GetFeatureGroup.

See more: google.cloud.aiplatform_v1beta1.types.GetFeatureGroupRequest

google.cloud.aiplatform_v1beta1.types.GetFeatureOnlineStoreRequest

GetFeatureOnlineStoreRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for FeatureOnlineStoreAdminService.GetFeatureOnlineStore.

See more: google.cloud.aiplatform_v1beta1.types.GetFeatureOnlineStoreRequest

google.cloud.aiplatform_v1beta1.types.GetFeatureRequest

GetFeatureRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.GetFeature.

See more: google.cloud.aiplatform_v1beta1.types.GetFeatureRequest

google.cloud.aiplatform_v1beta1.types.GetFeatureViewRequest

GetFeatureViewRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureOnlineStoreAdminService.GetFeatureView.

See more: google.cloud.aiplatform_v1beta1.types.GetFeatureViewRequest

google.cloud.aiplatform_v1beta1.types.GetFeatureViewSyncRequest

GetFeatureViewSyncRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureOnlineStoreAdminService.GetFeatureViewSync.

See more: google.cloud.aiplatform_v1beta1.types.GetFeatureViewSyncRequest

google.cloud.aiplatform_v1beta1.types.GetFeaturestoreRequest

GetFeaturestoreRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.GetFeaturestore.

See more: google.cloud.aiplatform_v1beta1.types.GetFeaturestoreRequest

google.cloud.aiplatform_v1beta1.types.GetHyperparameterTuningJobRequest

GetHyperparameterTuningJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.GetHyperparameterTuningJob.

See more: google.cloud.aiplatform_v1beta1.types.GetHyperparameterTuningJobRequest

google.cloud.aiplatform_v1beta1.types.GetIndexEndpointRequest

GetIndexEndpointRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexEndpointService.GetIndexEndpoint .

See more: google.cloud.aiplatform_v1beta1.types.GetIndexEndpointRequest

google.cloud.aiplatform_v1beta1.types.GetIndexRequest

GetIndexRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexService.GetIndex .

See more: google.cloud.aiplatform_v1beta1.types.GetIndexRequest

google.cloud.aiplatform_v1beta1.types.GetMetadataSchemaRequest

GetMetadataSchemaRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.GetMetadataSchema.

See more: google.cloud.aiplatform_v1beta1.types.GetMetadataSchemaRequest

google.cloud.aiplatform_v1beta1.types.GetMetadataStoreRequest

GetMetadataStoreRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.GetMetadataStore.

See more: google.cloud.aiplatform_v1beta1.types.GetMetadataStoreRequest

google.cloud.aiplatform_v1beta1.types.GetModelDeploymentMonitoringJobRequest

GetModelDeploymentMonitoringJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.GetModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1beta1.types.GetModelDeploymentMonitoringJobRequest

google.cloud.aiplatform_v1beta1.types.GetModelEvaluationRequest

GetModelEvaluationRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelService.GetModelEvaluation.

See more: google.cloud.aiplatform_v1beta1.types.GetModelEvaluationRequest

google.cloud.aiplatform_v1beta1.types.GetModelEvaluationSliceRequest

GetModelEvaluationSliceRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for ModelService.GetModelEvaluationSlice.

See more: google.cloud.aiplatform_v1beta1.types.GetModelEvaluationSliceRequest

google.cloud.aiplatform_v1beta1.types.GetModelRequest

GetModelRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelService.GetModel.

See more: google.cloud.aiplatform_v1beta1.types.GetModelRequest

google.cloud.aiplatform_v1beta1.types.GetNasJobRequest

GetNasJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.GetNasJob.

See more: google.cloud.aiplatform_v1beta1.types.GetNasJobRequest

google.cloud.aiplatform_v1beta1.types.GetNasTrialDetailRequest

GetNasTrialDetailRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.GetNasTrialDetail.

See more: google.cloud.aiplatform_v1beta1.types.GetNasTrialDetailRequest

google.cloud.aiplatform_v1beta1.types.GetNotebookRuntimeRequest

GetNotebookRuntimeRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for NotebookService.GetNotebookRuntime .

See more: google.cloud.aiplatform_v1beta1.types.GetNotebookRuntimeRequest

google.cloud.aiplatform_v1beta1.types.GetNotebookRuntimeTemplateRequest

GetNotebookRuntimeTemplateRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for NotebookService.GetNotebookRuntimeTemplate .

See more: google.cloud.aiplatform_v1beta1.types.GetNotebookRuntimeTemplateRequest

google.cloud.aiplatform_v1beta1.types.GetPersistentResourceRequest

GetPersistentResourceRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for PersistentResourceService.GetPersistentResource.

See more: google.cloud.aiplatform_v1beta1.types.GetPersistentResourceRequest

google.cloud.aiplatform_v1beta1.types.GetPipelineJobRequest

GetPipelineJobRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PipelineService.GetPipelineJob.

See more: google.cloud.aiplatform_v1beta1.types.GetPipelineJobRequest

google.cloud.aiplatform_v1beta1.types.GetPublisherModelRequest

GetPublisherModelRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelGardenService.GetPublisherModel .

See more: google.cloud.aiplatform_v1beta1.types.GetPublisherModelRequest

google.cloud.aiplatform_v1beta1.types.GetRagCorpusRequest

GetRagCorpusRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VertexRagDataService.GetRagCorpus .

See more: google.cloud.aiplatform_v1beta1.types.GetRagCorpusRequest

google.cloud.aiplatform_v1beta1.types.GetRagFileRequest

GetRagFileRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VertexRagDataService.GetRagFile .

See more: google.cloud.aiplatform_v1beta1.types.GetRagFileRequest

google.cloud.aiplatform_v1beta1.types.GetReasoningEngineRequest

GetReasoningEngineRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ReasoningEngineService.GetReasoningEngine.

See more: google.cloud.aiplatform_v1beta1.types.GetReasoningEngineRequest

google.cloud.aiplatform_v1beta1.types.GetScheduleRequest

GetScheduleRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ScheduleService.GetSchedule.

See more: google.cloud.aiplatform_v1beta1.types.GetScheduleRequest

google.cloud.aiplatform_v1beta1.types.GetSpecialistPoolRequest

GetSpecialistPoolRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for SpecialistPoolService.GetSpecialistPool.

See more: google.cloud.aiplatform_v1beta1.types.GetSpecialistPoolRequest

google.cloud.aiplatform_v1beta1.types.GetStudyRequest

GetStudyRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.GetStudy.

See more: google.cloud.aiplatform_v1beta1.types.GetStudyRequest

google.cloud.aiplatform_v1beta1.types.GetTensorboardExperimentRequest

GetTensorboardExperimentRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.GetTensorboardExperiment.

See more: google.cloud.aiplatform_v1beta1.types.GetTensorboardExperimentRequest

google.cloud.aiplatform_v1beta1.types.GetTensorboardRequest

GetTensorboardRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for TensorboardService.GetTensorboard.

See more: google.cloud.aiplatform_v1beta1.types.GetTensorboardRequest

google.cloud.aiplatform_v1beta1.types.GetTensorboardRunRequest

GetTensorboardRunRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for TensorboardService.GetTensorboardRun.

See more: google.cloud.aiplatform_v1beta1.types.GetTensorboardRunRequest

google.cloud.aiplatform_v1beta1.types.GetTensorboardTimeSeriesRequest

GetTensorboardTimeSeriesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.GetTensorboardTimeSeries.

See more: google.cloud.aiplatform_v1beta1.types.GetTensorboardTimeSeriesRequest

google.cloud.aiplatform_v1beta1.types.GetTrainingPipelineRequest

GetTrainingPipelineRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PipelineService.GetTrainingPipeline.

See more: google.cloud.aiplatform_v1beta1.types.GetTrainingPipelineRequest

google.cloud.aiplatform_v1beta1.types.GetTrialRequest

GetTrialRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.GetTrial.

See more: google.cloud.aiplatform_v1beta1.types.GetTrialRequest

google.cloud.aiplatform_v1beta1.types.GoogleDriveSource

GoogleDriveSource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The Google Drive location for the input content.

See more: google.cloud.aiplatform_v1beta1.types.GoogleDriveSource

google.cloud.aiplatform_v1beta1.types.GoogleDriveSource.ResourceId

ResourceId(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The type and ID of the Google Drive resource.

See more: google.cloud.aiplatform_v1beta1.types.GoogleDriveSource.ResourceId

google.cloud.aiplatform_v1beta1.types.GoogleDriveSource.ResourceId.ResourceType

ResourceType(value)

The type of the Google Drive resource.

See more: google.cloud.aiplatform_v1beta1.types.GoogleDriveSource.ResourceId.ResourceType

google.cloud.aiplatform_v1beta1.types.GoogleSearchRetrieval

GoogleSearchRetrieval(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Tool to retrieve public web data for grounding, powered by Google.

See more: google.cloud.aiplatform_v1beta1.types.GoogleSearchRetrieval

google.cloud.aiplatform_v1beta1.types.GroundednessInput

GroundednessInput(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Input for groundedness metric.

See more: google.cloud.aiplatform_v1beta1.types.GroundednessInput

google.cloud.aiplatform_v1beta1.types.GroundednessInstance

GroundednessInstance(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for groundedness instance.

See more: google.cloud.aiplatform_v1beta1.types.GroundednessInstance

google.cloud.aiplatform_v1beta1.types.GroundednessResult

GroundednessResult(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for groundedness result.

See more: google.cloud.aiplatform_v1beta1.types.GroundednessResult

google.cloud.aiplatform_v1beta1.types.GroundednessSpec

GroundednessSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for groundedness metric.

See more: google.cloud.aiplatform_v1beta1.types.GroundednessSpec

google.cloud.aiplatform_v1beta1.types.GroundingAttribution

GroundingAttribution(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Grounding attribution.

See more: google.cloud.aiplatform_v1beta1.types.GroundingAttribution

google.cloud.aiplatform_v1beta1.types.GroundingAttribution.RetrievedContext

RetrievedContext(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Attribution from context retrieved by the retrieval tools.

See more: google.cloud.aiplatform_v1beta1.types.GroundingAttribution.RetrievedContext

google.cloud.aiplatform_v1beta1.types.GroundingAttribution.Web

Web(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Attribution from the web.

See more: google.cloud.aiplatform_v1beta1.types.GroundingAttribution.Web

google.cloud.aiplatform_v1beta1.types.GroundingMetadata

GroundingMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Metadata returned to client when grounding is enabled.

See more: google.cloud.aiplatform_v1beta1.types.GroundingMetadata

google.cloud.aiplatform_v1beta1.types.HarmCategory

HarmCategory(value)

Harm categories that will block the content.

See more: google.cloud.aiplatform_v1beta1.types.HarmCategory

google.cloud.aiplatform_v1beta1.types.HttpElementLocation

HttpElementLocation(value)

Enum of location an HTTP element can be.

See more: google.cloud.aiplatform_v1beta1.types.HttpElementLocation

google.cloud.aiplatform_v1beta1.types.HyperparameterTuningJob

HyperparameterTuningJob(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a HyperparameterTuningJob.

See more: google.cloud.aiplatform_v1beta1.types.HyperparameterTuningJob

google.cloud.aiplatform_v1beta1.types.HyperparameterTuningJob.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.HyperparameterTuningJob.LabelsEntry

google.cloud.aiplatform_v1beta1.types.IdMatcher

IdMatcher(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Matcher for Features of an EntityType by Feature ID.

See more: google.cloud.aiplatform_v1beta1.types.IdMatcher

google.cloud.aiplatform_v1beta1.types.ImportDataConfig

ImportDataConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Describes the location from where we import data into a Dataset, together with the labels that will be applied to the DataItems and the Annotations.

See more: google.cloud.aiplatform_v1beta1.types.ImportDataConfig

google.cloud.aiplatform_v1beta1.types.ImportDataConfig.AnnotationLabelsEntry

AnnotationLabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.ImportDataConfig.AnnotationLabelsEntry

google.cloud.aiplatform_v1beta1.types.ImportDataConfig.DataItemLabelsEntry

DataItemLabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.ImportDataConfig.DataItemLabelsEntry

google.cloud.aiplatform_v1beta1.types.ImportDataOperationMetadata

ImportDataOperationMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Runtime operation information for DatasetService.ImportData.

See more: google.cloud.aiplatform_v1beta1.types.ImportDataOperationMetadata

google.cloud.aiplatform_v1beta1.types.ImportDataRequest

ImportDataRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.ImportData.

See more: google.cloud.aiplatform_v1beta1.types.ImportDataRequest

google.cloud.aiplatform_v1beta1.types.ImportDataResponse

ImportDataResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for DatasetService.ImportData.

See more: google.cloud.aiplatform_v1beta1.types.ImportDataResponse

google.cloud.aiplatform_v1beta1.types.ImportExtensionOperationMetadata

ImportExtensionOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of ExtensionRegistryService.ImportExtension operation.

See more: google.cloud.aiplatform_v1beta1.types.ImportExtensionOperationMetadata

google.cloud.aiplatform_v1beta1.types.ImportExtensionRequest

ImportExtensionRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ExtensionRegistryService.ImportExtension.

See more: google.cloud.aiplatform_v1beta1.types.ImportExtensionRequest

google.cloud.aiplatform_v1beta1.types.ImportFeatureValuesOperationMetadata

ImportFeatureValuesOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform import Feature values.

See more: google.cloud.aiplatform_v1beta1.types.ImportFeatureValuesOperationMetadata

google.cloud.aiplatform_v1beta1.types.ImportFeatureValuesRequest

ImportFeatureValuesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.ImportFeatureValues.

See more: google.cloud.aiplatform_v1beta1.types.ImportFeatureValuesRequest

google.cloud.aiplatform_v1beta1.types.ImportFeatureValuesRequest.FeatureSpec

FeatureSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Defines the Feature value(s) to import.

See more: google.cloud.aiplatform_v1beta1.types.ImportFeatureValuesRequest.FeatureSpec

google.cloud.aiplatform_v1beta1.types.ImportFeatureValuesResponse

ImportFeatureValuesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeaturestoreService.ImportFeatureValues.

See more: google.cloud.aiplatform_v1beta1.types.ImportFeatureValuesResponse

google.cloud.aiplatform_v1beta1.types.ImportModelEvaluationRequest

ImportModelEvaluationRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for ModelService.ImportModelEvaluation .

See more: google.cloud.aiplatform_v1beta1.types.ImportModelEvaluationRequest

google.cloud.aiplatform_v1beta1.types.ImportRagFilesConfig

ImportRagFilesConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Config for importing RagFiles.

See more: google.cloud.aiplatform_v1beta1.types.ImportRagFilesConfig

google.cloud.aiplatform_v1beta1.types.ImportRagFilesOperationMetadata

ImportRagFilesOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for VertexRagDataService.ImportRagFiles.

See more: google.cloud.aiplatform_v1beta1.types.ImportRagFilesOperationMetadata

google.cloud.aiplatform_v1beta1.types.ImportRagFilesRequest

ImportRagFilesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VertexRagDataService.ImportRagFiles.

See more: google.cloud.aiplatform_v1beta1.types.ImportRagFilesRequest

google.cloud.aiplatform_v1beta1.types.ImportRagFilesResponse

ImportRagFilesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for VertexRagDataService.ImportRagFiles.

See more: google.cloud.aiplatform_v1beta1.types.ImportRagFilesResponse

google.cloud.aiplatform_v1beta1.types.Index

Index(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A representation of a collection of database items organized in a way that allows for approximate nearest neighbor (a.k.a ANN) algorithms search.

See more: google.cloud.aiplatform_v1beta1.types.Index

google.cloud.aiplatform_v1beta1.types.Index.IndexUpdateMethod

IndexUpdateMethod(value)

The update method of an Index.

See more: google.cloud.aiplatform_v1beta1.types.Index.IndexUpdateMethod

google.cloud.aiplatform_v1beta1.types.Index.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.Index.LabelsEntry

google.cloud.aiplatform_v1beta1.types.IndexDatapoint

IndexDatapoint(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A datapoint of Index.

See more: google.cloud.aiplatform_v1beta1.types.IndexDatapoint

google.cloud.aiplatform_v1beta1.types.IndexDatapoint.CrowdingTag

CrowdingTag(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Crowding tag is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowding_attribute.

See more: google.cloud.aiplatform_v1beta1.types.IndexDatapoint.CrowdingTag

google.cloud.aiplatform_v1beta1.types.IndexDatapoint.NumericRestriction

NumericRestriction(mapping=None, *, ignore_unknown_fields=False, **kwargs)

This field allows restricts to be based on numeric comparisons rather than categorical tokens.

See more: google.cloud.aiplatform_v1beta1.types.IndexDatapoint.NumericRestriction

google.cloud.aiplatform_v1beta1.types.IndexDatapoint.NumericRestriction.Operator

Operator(value)

Which comparison operator to use.

See more: google.cloud.aiplatform_v1beta1.types.IndexDatapoint.NumericRestriction.Operator

google.cloud.aiplatform_v1beta1.types.IndexDatapoint.Restriction

Restriction(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Restriction of a datapoint which describe its attributes(tokens) from each of several attribute categories(namespaces).

See more: google.cloud.aiplatform_v1beta1.types.IndexDatapoint.Restriction

google.cloud.aiplatform_v1beta1.types.IndexEndpoint

IndexEndpoint(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Indexes are deployed into it.

See more: google.cloud.aiplatform_v1beta1.types.IndexEndpoint

google.cloud.aiplatform_v1beta1.types.IndexEndpoint.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.IndexEndpoint.LabelsEntry

google.cloud.aiplatform_v1beta1.types.IndexPrivateEndpoints

IndexPrivateEndpoints(mapping=None, *, ignore_unknown_fields=False, **kwargs)

IndexPrivateEndpoints proto is used to provide paths for users to send requests via private endpoints (e.g.

See more: google.cloud.aiplatform_v1beta1.types.IndexPrivateEndpoints

google.cloud.aiplatform_v1beta1.types.IndexStats

IndexStats(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Stats of the Index.

See more: google.cloud.aiplatform_v1beta1.types.IndexStats

google.cloud.aiplatform_v1beta1.types.InputDataConfig

InputDataConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Specifies Vertex AI owned input data to be used for training, and possibly evaluating, the Model.

See more: google.cloud.aiplatform_v1beta1.types.InputDataConfig

google.cloud.aiplatform_v1beta1.types.Int64Array

Int64Array(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A list of int64 values.

See more: google.cloud.aiplatform_v1beta1.types.Int64Array

google.cloud.aiplatform_v1beta1.types.IntegratedGradientsAttribution

IntegratedGradientsAttribution(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

An attribution method that computes the Aumann-Shapley value taking advantage of the model's fully differentiable structure.

See more: google.cloud.aiplatform_v1beta1.types.IntegratedGradientsAttribution

google.cloud.aiplatform_v1beta1.types.JobState

JobState(value)

Describes the state of a job.

See more: google.cloud.aiplatform_v1beta1.types.JobState

google.cloud.aiplatform_v1beta1.types.LargeModelReference

LargeModelReference(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Contains information about the Large Model.

See more: google.cloud.aiplatform_v1beta1.types.LargeModelReference

google.cloud.aiplatform_v1beta1.types.LineageSubgraph

LineageSubgraph(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A subgraph of the overall lineage graph.

See more: google.cloud.aiplatform_v1beta1.types.LineageSubgraph

google.cloud.aiplatform_v1beta1.types.ListAnnotationsRequest

ListAnnotationsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.ListAnnotations.

See more: google.cloud.aiplatform_v1beta1.types.ListAnnotationsRequest

google.cloud.aiplatform_v1beta1.types.ListAnnotationsResponse

ListAnnotationsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for DatasetService.ListAnnotations.

See more: google.cloud.aiplatform_v1beta1.types.ListAnnotationsResponse

google.cloud.aiplatform_v1beta1.types.ListArtifactsRequest

ListArtifactsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.ListArtifacts.

See more: google.cloud.aiplatform_v1beta1.types.ListArtifactsRequest

google.cloud.aiplatform_v1beta1.types.ListArtifactsResponse

ListArtifactsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for MetadataService.ListArtifacts.

See more: google.cloud.aiplatform_v1beta1.types.ListArtifactsResponse

google.cloud.aiplatform_v1beta1.types.ListBatchPredictionJobsRequest

ListBatchPredictionJobsRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.ListBatchPredictionJobs.

See more: google.cloud.aiplatform_v1beta1.types.ListBatchPredictionJobsRequest

google.cloud.aiplatform_v1beta1.types.ListBatchPredictionJobsResponse

ListBatchPredictionJobsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for JobService.ListBatchPredictionJobs .

See more: google.cloud.aiplatform_v1beta1.types.ListBatchPredictionJobsResponse

google.cloud.aiplatform_v1beta1.types.ListContextsRequest

ListContextsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.ListContexts .

See more: google.cloud.aiplatform_v1beta1.types.ListContextsRequest

google.cloud.aiplatform_v1beta1.types.ListContextsResponse

ListContextsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for MetadataService.ListContexts.

See more: google.cloud.aiplatform_v1beta1.types.ListContextsResponse

google.cloud.aiplatform_v1beta1.types.ListCustomJobsRequest

ListCustomJobsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.ListCustomJobs.

See more: google.cloud.aiplatform_v1beta1.types.ListCustomJobsRequest

google.cloud.aiplatform_v1beta1.types.ListCustomJobsResponse

ListCustomJobsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for JobService.ListCustomJobs .

See more: google.cloud.aiplatform_v1beta1.types.ListCustomJobsResponse

google.cloud.aiplatform_v1beta1.types.ListDataItemsRequest

ListDataItemsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.ListDataItems.

See more: google.cloud.aiplatform_v1beta1.types.ListDataItemsRequest

google.cloud.aiplatform_v1beta1.types.ListDataItemsResponse

ListDataItemsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for DatasetService.ListDataItems.

See more: google.cloud.aiplatform_v1beta1.types.ListDataItemsResponse

google.cloud.aiplatform_v1beta1.types.ListDataLabelingJobsRequest

ListDataLabelingJobsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.ListDataLabelingJobs.

See more: google.cloud.aiplatform_v1beta1.types.ListDataLabelingJobsRequest

google.cloud.aiplatform_v1beta1.types.ListDataLabelingJobsResponse

ListDataLabelingJobsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for JobService.ListDataLabelingJobs.

See more: google.cloud.aiplatform_v1beta1.types.ListDataLabelingJobsResponse

google.cloud.aiplatform_v1beta1.types.ListDatasetVersionsRequest

ListDatasetVersionsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.ListDatasetVersions.

See more: google.cloud.aiplatform_v1beta1.types.ListDatasetVersionsRequest

google.cloud.aiplatform_v1beta1.types.ListDatasetVersionsResponse

ListDatasetVersionsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for DatasetService.ListDatasetVersions.

See more: google.cloud.aiplatform_v1beta1.types.ListDatasetVersionsResponse

google.cloud.aiplatform_v1beta1.types.ListDatasetsRequest

ListDatasetsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.ListDatasets.

See more: google.cloud.aiplatform_v1beta1.types.ListDatasetsRequest

google.cloud.aiplatform_v1beta1.types.ListDatasetsResponse

ListDatasetsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for DatasetService.ListDatasets.

See more: google.cloud.aiplatform_v1beta1.types.ListDatasetsResponse

google.cloud.aiplatform_v1beta1.types.ListDeploymentResourcePoolsRequest

ListDeploymentResourcePoolsRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for ListDeploymentResourcePools method.

See more: google.cloud.aiplatform_v1beta1.types.ListDeploymentResourcePoolsRequest

google.cloud.aiplatform_v1beta1.types.ListDeploymentResourcePoolsResponse

ListDeploymentResourcePoolsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for ListDeploymentResourcePools method.

See more: google.cloud.aiplatform_v1beta1.types.ListDeploymentResourcePoolsResponse

google.cloud.aiplatform_v1beta1.types.ListEndpointsRequest

ListEndpointsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for EndpointService.ListEndpoints.

See more: google.cloud.aiplatform_v1beta1.types.ListEndpointsRequest

google.cloud.aiplatform_v1beta1.types.ListEndpointsResponse

ListEndpointsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for EndpointService.ListEndpoints.

See more: google.cloud.aiplatform_v1beta1.types.ListEndpointsResponse

google.cloud.aiplatform_v1beta1.types.ListEntityTypesRequest

ListEntityTypesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.ListEntityTypes.

See more: google.cloud.aiplatform_v1beta1.types.ListEntityTypesRequest

google.cloud.aiplatform_v1beta1.types.ListEntityTypesResponse

ListEntityTypesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeaturestoreService.ListEntityTypes.

See more: google.cloud.aiplatform_v1beta1.types.ListEntityTypesResponse

google.cloud.aiplatform_v1beta1.types.ListExecutionsRequest

ListExecutionsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.ListExecutions.

See more: google.cloud.aiplatform_v1beta1.types.ListExecutionsRequest

google.cloud.aiplatform_v1beta1.types.ListExecutionsResponse

ListExecutionsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for MetadataService.ListExecutions.

See more: google.cloud.aiplatform_v1beta1.types.ListExecutionsResponse

google.cloud.aiplatform_v1beta1.types.ListExtensionsRequest

ListExtensionsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ExtensionRegistryService.ListExtensions.

See more: google.cloud.aiplatform_v1beta1.types.ListExtensionsRequest

google.cloud.aiplatform_v1beta1.types.ListExtensionsResponse

ListExtensionsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for ExtensionRegistryService.ListExtensions .

See more: google.cloud.aiplatform_v1beta1.types.ListExtensionsResponse

google.cloud.aiplatform_v1beta1.types.ListFeatureGroupsRequest

ListFeatureGroupsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureRegistryService.ListFeatureGroups.

See more: google.cloud.aiplatform_v1beta1.types.ListFeatureGroupsRequest

google.cloud.aiplatform_v1beta1.types.ListFeatureGroupsResponse

ListFeatureGroupsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeatureRegistryService.ListFeatureGroups.

See more: google.cloud.aiplatform_v1beta1.types.ListFeatureGroupsResponse

google.cloud.aiplatform_v1beta1.types.ListFeatureOnlineStoresRequest

ListFeatureOnlineStoresRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for FeatureOnlineStoreAdminService.ListFeatureOnlineStores.

See more: google.cloud.aiplatform_v1beta1.types.ListFeatureOnlineStoresRequest

google.cloud.aiplatform_v1beta1.types.ListFeatureOnlineStoresResponse

ListFeatureOnlineStoresResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for FeatureOnlineStoreAdminService.ListFeatureOnlineStores.

See more: google.cloud.aiplatform_v1beta1.types.ListFeatureOnlineStoresResponse

google.cloud.aiplatform_v1beta1.types.ListFeatureViewSyncsRequest

ListFeatureViewSyncsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureOnlineStoreAdminService.ListFeatureViewSyncs.

See more: google.cloud.aiplatform_v1beta1.types.ListFeatureViewSyncsRequest

google.cloud.aiplatform_v1beta1.types.ListFeatureViewSyncsResponse

ListFeatureViewSyncsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for FeatureOnlineStoreAdminService.ListFeatureViewSyncs.

See more: google.cloud.aiplatform_v1beta1.types.ListFeatureViewSyncsResponse

google.cloud.aiplatform_v1beta1.types.ListFeatureViewsRequest

ListFeatureViewsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureOnlineStoreAdminService.ListFeatureViews.

See more: google.cloud.aiplatform_v1beta1.types.ListFeatureViewsRequest

google.cloud.aiplatform_v1beta1.types.ListFeatureViewsResponse

ListFeatureViewsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeatureOnlineStoreAdminService.ListFeatureViews.

See more: google.cloud.aiplatform_v1beta1.types.ListFeatureViewsResponse

google.cloud.aiplatform_v1beta1.types.ListFeaturesRequest

ListFeaturesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.ListFeatures.

See more: google.cloud.aiplatform_v1beta1.types.ListFeaturesRequest

google.cloud.aiplatform_v1beta1.types.ListFeaturesResponse

ListFeaturesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeaturestoreService.ListFeatures.

See more: google.cloud.aiplatform_v1beta1.types.ListFeaturesResponse

google.cloud.aiplatform_v1beta1.types.ListFeaturestoresRequest

ListFeaturestoresRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.ListFeaturestores.

See more: google.cloud.aiplatform_v1beta1.types.ListFeaturestoresRequest

google.cloud.aiplatform_v1beta1.types.ListFeaturestoresResponse

ListFeaturestoresResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeaturestoreService.ListFeaturestores.

See more: google.cloud.aiplatform_v1beta1.types.ListFeaturestoresResponse

google.cloud.aiplatform_v1beta1.types.ListHyperparameterTuningJobsRequest

ListHyperparameterTuningJobsRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.ListHyperparameterTuningJobs.

See more: google.cloud.aiplatform_v1beta1.types.ListHyperparameterTuningJobsRequest

google.cloud.aiplatform_v1beta1.types.ListHyperparameterTuningJobsResponse

ListHyperparameterTuningJobsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for JobService.ListHyperparameterTuningJobs .

See more: google.cloud.aiplatform_v1beta1.types.ListHyperparameterTuningJobsResponse

google.cloud.aiplatform_v1beta1.types.ListIndexEndpointsRequest

ListIndexEndpointsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexEndpointService.ListIndexEndpoints.

See more: google.cloud.aiplatform_v1beta1.types.ListIndexEndpointsRequest

google.cloud.aiplatform_v1beta1.types.ListIndexEndpointsResponse

ListIndexEndpointsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for IndexEndpointService.ListIndexEndpoints.

See more: google.cloud.aiplatform_v1beta1.types.ListIndexEndpointsResponse

google.cloud.aiplatform_v1beta1.types.ListIndexesRequest

ListIndexesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexService.ListIndexes.

See more: google.cloud.aiplatform_v1beta1.types.ListIndexesRequest

google.cloud.aiplatform_v1beta1.types.ListIndexesResponse

ListIndexesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for IndexService.ListIndexes.

See more: google.cloud.aiplatform_v1beta1.types.ListIndexesResponse

google.cloud.aiplatform_v1beta1.types.ListMetadataSchemasRequest

ListMetadataSchemasRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.ListMetadataSchemas.

See more: google.cloud.aiplatform_v1beta1.types.ListMetadataSchemasRequest

google.cloud.aiplatform_v1beta1.types.ListMetadataSchemasResponse

ListMetadataSchemasResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for MetadataService.ListMetadataSchemas.

See more: google.cloud.aiplatform_v1beta1.types.ListMetadataSchemasResponse

google.cloud.aiplatform_v1beta1.types.ListMetadataStoresRequest

ListMetadataStoresRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.ListMetadataStores.

See more: google.cloud.aiplatform_v1beta1.types.ListMetadataStoresRequest

google.cloud.aiplatform_v1beta1.types.ListMetadataStoresResponse

ListMetadataStoresResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for MetadataService.ListMetadataStores.

See more: google.cloud.aiplatform_v1beta1.types.ListMetadataStoresResponse

google.cloud.aiplatform_v1beta1.types.ListModelDeploymentMonitoringJobsRequest

ListModelDeploymentMonitoringJobsRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.ListModelDeploymentMonitoringJobs.

See more: google.cloud.aiplatform_v1beta1.types.ListModelDeploymentMonitoringJobsRequest

google.cloud.aiplatform_v1beta1.types.ListModelDeploymentMonitoringJobsResponse

ListModelDeploymentMonitoringJobsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for JobService.ListModelDeploymentMonitoringJobs.

See more: google.cloud.aiplatform_v1beta1.types.ListModelDeploymentMonitoringJobsResponse

google.cloud.aiplatform_v1beta1.types.ListModelEvaluationSlicesRequest

ListModelEvaluationSlicesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for ModelService.ListModelEvaluationSlices.

See more: google.cloud.aiplatform_v1beta1.types.ListModelEvaluationSlicesRequest

google.cloud.aiplatform_v1beta1.types.ListModelEvaluationSlicesResponse

ListModelEvaluationSlicesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for ModelService.ListModelEvaluationSlices.

See more: google.cloud.aiplatform_v1beta1.types.ListModelEvaluationSlicesResponse

google.cloud.aiplatform_v1beta1.types.ListModelEvaluationsRequest

ListModelEvaluationsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelService.ListModelEvaluations.

See more: google.cloud.aiplatform_v1beta1.types.ListModelEvaluationsRequest

google.cloud.aiplatform_v1beta1.types.ListModelEvaluationsResponse

ListModelEvaluationsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for ModelService.ListModelEvaluations.

See more: google.cloud.aiplatform_v1beta1.types.ListModelEvaluationsResponse

google.cloud.aiplatform_v1beta1.types.ListModelVersionsRequest

ListModelVersionsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelService.ListModelVersions.

See more: google.cloud.aiplatform_v1beta1.types.ListModelVersionsRequest

google.cloud.aiplatform_v1beta1.types.ListModelVersionsResponse

ListModelVersionsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for ModelService.ListModelVersions .

See more: google.cloud.aiplatform_v1beta1.types.ListModelVersionsResponse

google.cloud.aiplatform_v1beta1.types.ListModelsRequest

ListModelsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelService.ListModels.

See more: google.cloud.aiplatform_v1beta1.types.ListModelsRequest

google.cloud.aiplatform_v1beta1.types.ListModelsResponse

ListModelsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for ModelService.ListModels .

See more: google.cloud.aiplatform_v1beta1.types.ListModelsResponse

google.cloud.aiplatform_v1beta1.types.ListNasJobsRequest

ListNasJobsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.ListNasJobs.

See more: google.cloud.aiplatform_v1beta1.types.ListNasJobsRequest

google.cloud.aiplatform_v1beta1.types.ListNasJobsResponse

ListNasJobsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for JobService.ListNasJobs .

See more: google.cloud.aiplatform_v1beta1.types.ListNasJobsResponse

google.cloud.aiplatform_v1beta1.types.ListNasTrialDetailsRequest

ListNasTrialDetailsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for JobService.ListNasTrialDetails.

See more: google.cloud.aiplatform_v1beta1.types.ListNasTrialDetailsRequest

google.cloud.aiplatform_v1beta1.types.ListNasTrialDetailsResponse

ListNasTrialDetailsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for JobService.ListNasTrialDetails .

See more: google.cloud.aiplatform_v1beta1.types.ListNasTrialDetailsResponse

google.cloud.aiplatform_v1beta1.types.ListNotebookRuntimeTemplatesRequest

ListNotebookRuntimeTemplatesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for NotebookService.ListNotebookRuntimeTemplates.

See more: google.cloud.aiplatform_v1beta1.types.ListNotebookRuntimeTemplatesRequest

google.cloud.aiplatform_v1beta1.types.ListNotebookRuntimeTemplatesResponse

ListNotebookRuntimeTemplatesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for NotebookService.ListNotebookRuntimeTemplates.

See more: google.cloud.aiplatform_v1beta1.types.ListNotebookRuntimeTemplatesResponse

google.cloud.aiplatform_v1beta1.types.ListNotebookRuntimesRequest

ListNotebookRuntimesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for NotebookService.ListNotebookRuntimes.

See more: google.cloud.aiplatform_v1beta1.types.ListNotebookRuntimesRequest

google.cloud.aiplatform_v1beta1.types.ListNotebookRuntimesResponse

ListNotebookRuntimesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for NotebookService.ListNotebookRuntimes.

See more: google.cloud.aiplatform_v1beta1.types.ListNotebookRuntimesResponse

google.cloud.aiplatform_v1beta1.types.ListOptimalTrialsRequest

ListOptimalTrialsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.ListOptimalTrials.

See more: google.cloud.aiplatform_v1beta1.types.ListOptimalTrialsRequest

google.cloud.aiplatform_v1beta1.types.ListOptimalTrialsResponse

ListOptimalTrialsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for VizierService.ListOptimalTrials.

See more: google.cloud.aiplatform_v1beta1.types.ListOptimalTrialsResponse

google.cloud.aiplatform_v1beta1.types.ListPersistentResourcesRequest

ListPersistentResourcesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for [PersistentResourceService.ListPersistentResource][].

See more: google.cloud.aiplatform_v1beta1.types.ListPersistentResourcesRequest

google.cloud.aiplatform_v1beta1.types.ListPersistentResourcesResponse

ListPersistentResourcesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for PersistentResourceService.ListPersistentResources .

See more: google.cloud.aiplatform_v1beta1.types.ListPersistentResourcesResponse

google.cloud.aiplatform_v1beta1.types.ListPipelineJobsRequest

ListPipelineJobsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PipelineService.ListPipelineJobs.

See more: google.cloud.aiplatform_v1beta1.types.ListPipelineJobsRequest

google.cloud.aiplatform_v1beta1.types.ListPipelineJobsResponse

ListPipelineJobsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for PipelineService.ListPipelineJobs .

See more: google.cloud.aiplatform_v1beta1.types.ListPipelineJobsResponse

google.cloud.aiplatform_v1beta1.types.ListPublisherModelsRequest

ListPublisherModelsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelGardenService.ListPublisherModels.

See more: google.cloud.aiplatform_v1beta1.types.ListPublisherModelsRequest

google.cloud.aiplatform_v1beta1.types.ListPublisherModelsResponse

ListPublisherModelsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for ModelGardenService.ListPublisherModels.

See more: google.cloud.aiplatform_v1beta1.types.ListPublisherModelsResponse

google.cloud.aiplatform_v1beta1.types.ListRagCorporaRequest

ListRagCorporaRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VertexRagDataService.ListRagCorpora.

See more: google.cloud.aiplatform_v1beta1.types.ListRagCorporaRequest

google.cloud.aiplatform_v1beta1.types.ListRagCorporaResponse

ListRagCorporaResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for VertexRagDataService.ListRagCorpora.

See more: google.cloud.aiplatform_v1beta1.types.ListRagCorporaResponse

google.cloud.aiplatform_v1beta1.types.ListRagFilesRequest

ListRagFilesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VertexRagDataService.ListRagFiles.

See more: google.cloud.aiplatform_v1beta1.types.ListRagFilesRequest

google.cloud.aiplatform_v1beta1.types.ListRagFilesResponse

ListRagFilesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for VertexRagDataService.ListRagFiles.

See more: google.cloud.aiplatform_v1beta1.types.ListRagFilesResponse

google.cloud.aiplatform_v1beta1.types.ListReasoningEnginesRequest

ListReasoningEnginesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ReasoningEngineService.ListReasoningEngines.

See more: google.cloud.aiplatform_v1beta1.types.ListReasoningEnginesRequest

google.cloud.aiplatform_v1beta1.types.ListReasoningEnginesResponse

ListReasoningEnginesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for ReasoningEngineService.ListReasoningEngines .

See more: google.cloud.aiplatform_v1beta1.types.ListReasoningEnginesResponse

google.cloud.aiplatform_v1beta1.types.ListSavedQueriesRequest

ListSavedQueriesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.ListSavedQueries.

See more: google.cloud.aiplatform_v1beta1.types.ListSavedQueriesRequest

google.cloud.aiplatform_v1beta1.types.ListSavedQueriesResponse

ListSavedQueriesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for DatasetService.ListSavedQueries.

See more: google.cloud.aiplatform_v1beta1.types.ListSavedQueriesResponse

google.cloud.aiplatform_v1beta1.types.ListSchedulesRequest

ListSchedulesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ScheduleService.ListSchedules.

See more: google.cloud.aiplatform_v1beta1.types.ListSchedulesRequest

google.cloud.aiplatform_v1beta1.types.ListSchedulesResponse

ListSchedulesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for ScheduleService.ListSchedules .

See more: google.cloud.aiplatform_v1beta1.types.ListSchedulesResponse

google.cloud.aiplatform_v1beta1.types.ListSpecialistPoolsRequest

ListSpecialistPoolsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for SpecialistPoolService.ListSpecialistPools.

See more: google.cloud.aiplatform_v1beta1.types.ListSpecialistPoolsRequest

google.cloud.aiplatform_v1beta1.types.ListSpecialistPoolsResponse

ListSpecialistPoolsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for SpecialistPoolService.ListSpecialistPools.

See more: google.cloud.aiplatform_v1beta1.types.ListSpecialistPoolsResponse

google.cloud.aiplatform_v1beta1.types.ListStudiesRequest

ListStudiesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.ListStudies.

See more: google.cloud.aiplatform_v1beta1.types.ListStudiesRequest

google.cloud.aiplatform_v1beta1.types.ListStudiesResponse

ListStudiesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for VizierService.ListStudies.

See more: google.cloud.aiplatform_v1beta1.types.ListStudiesResponse

google.cloud.aiplatform_v1beta1.types.ListTensorboardExperimentsRequest

ListTensorboardExperimentsRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.ListTensorboardExperiments.

See more: google.cloud.aiplatform_v1beta1.types.ListTensorboardExperimentsRequest

google.cloud.aiplatform_v1beta1.types.ListTensorboardExperimentsResponse

ListTensorboardExperimentsResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for TensorboardService.ListTensorboardExperiments.

See more: google.cloud.aiplatform_v1beta1.types.ListTensorboardExperimentsResponse

google.cloud.aiplatform_v1beta1.types.ListTensorboardRunsRequest

ListTensorboardRunsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for TensorboardService.ListTensorboardRuns.

See more: google.cloud.aiplatform_v1beta1.types.ListTensorboardRunsRequest

google.cloud.aiplatform_v1beta1.types.ListTensorboardRunsResponse

ListTensorboardRunsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for TensorboardService.ListTensorboardRuns.

See more: google.cloud.aiplatform_v1beta1.types.ListTensorboardRunsResponse

google.cloud.aiplatform_v1beta1.types.ListTensorboardTimeSeriesRequest

ListTensorboardTimeSeriesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.ListTensorboardTimeSeries.

See more: google.cloud.aiplatform_v1beta1.types.ListTensorboardTimeSeriesRequest

google.cloud.aiplatform_v1beta1.types.ListTensorboardTimeSeriesResponse

ListTensorboardTimeSeriesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for TensorboardService.ListTensorboardTimeSeries.

See more: google.cloud.aiplatform_v1beta1.types.ListTensorboardTimeSeriesResponse

google.cloud.aiplatform_v1beta1.types.ListTensorboardsRequest

ListTensorboardsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for TensorboardService.ListTensorboards.

See more: google.cloud.aiplatform_v1beta1.types.ListTensorboardsRequest

google.cloud.aiplatform_v1beta1.types.ListTensorboardsResponse

ListTensorboardsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for TensorboardService.ListTensorboards.

See more: google.cloud.aiplatform_v1beta1.types.ListTensorboardsResponse

google.cloud.aiplatform_v1beta1.types.ListTrainingPipelinesRequest

ListTrainingPipelinesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for PipelineService.ListTrainingPipelines.

See more: google.cloud.aiplatform_v1beta1.types.ListTrainingPipelinesRequest

google.cloud.aiplatform_v1beta1.types.ListTrainingPipelinesResponse

ListTrainingPipelinesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for PipelineService.ListTrainingPipelines .

See more: google.cloud.aiplatform_v1beta1.types.ListTrainingPipelinesResponse

google.cloud.aiplatform_v1beta1.types.ListTrialsRequest

ListTrialsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.ListTrials.

See more: google.cloud.aiplatform_v1beta1.types.ListTrialsRequest

google.cloud.aiplatform_v1beta1.types.ListTrialsResponse

ListTrialsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for VizierService.ListTrials.

See more: google.cloud.aiplatform_v1beta1.types.ListTrialsResponse

google.cloud.aiplatform_v1beta1.types.LookupStudyRequest

LookupStudyRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.LookupStudy.

See more: google.cloud.aiplatform_v1beta1.types.LookupStudyRequest

google.cloud.aiplatform_v1beta1.types.MachineSpec

MachineSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Specification of a single machine.

See more: google.cloud.aiplatform_v1beta1.types.MachineSpec

google.cloud.aiplatform_v1beta1.types.ManualBatchTuningParameters

ManualBatchTuningParameters(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Manual batch tuning parameters.

See more: google.cloud.aiplatform_v1beta1.types.ManualBatchTuningParameters

google.cloud.aiplatform_v1beta1.types.Measurement

Measurement(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A message representing a Measurement of a Trial.

See more: google.cloud.aiplatform_v1beta1.types.Measurement

google.cloud.aiplatform_v1beta1.types.Measurement.Metric

Metric(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A message representing a metric in the measurement.

See more: google.cloud.aiplatform_v1beta1.types.Measurement.Metric

google.cloud.aiplatform_v1beta1.types.MergeVersionAliasesRequest

MergeVersionAliasesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelService.MergeVersionAliases.

See more: google.cloud.aiplatform_v1beta1.types.MergeVersionAliasesRequest

google.cloud.aiplatform_v1beta1.types.MetadataSchema

MetadataSchema(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Instance of a general MetadataSchema.

See more: google.cloud.aiplatform_v1beta1.types.MetadataSchema

google.cloud.aiplatform_v1beta1.types.MetadataSchema.MetadataSchemaType

MetadataSchemaType(value)

Describes the type of the MetadataSchema.

See more: google.cloud.aiplatform_v1beta1.types.MetadataSchema.MetadataSchemaType

google.cloud.aiplatform_v1beta1.types.MetadataStore

MetadataStore(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Instance of a metadata store.

See more: google.cloud.aiplatform_v1beta1.types.MetadataStore

google.cloud.aiplatform_v1beta1.types.MetadataStore.MetadataStoreState

MetadataStoreState(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents state information for a MetadataStore.

See more: google.cloud.aiplatform_v1beta1.types.MetadataStore.MetadataStoreState

google.cloud.aiplatform_v1beta1.types.MigratableResource

MigratableResource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents one resource that exists in automl.googleapis.com, datalabeling.googleapis.com or ml.googleapis.com.

See more: google.cloud.aiplatform_v1beta1.types.MigratableResource

google.cloud.aiplatform_v1beta1.types.MigratableResource.AutomlDataset

AutomlDataset(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents one Dataset in automl.googleapis.com.

See more: google.cloud.aiplatform_v1beta1.types.MigratableResource.AutomlDataset

google.cloud.aiplatform_v1beta1.types.MigratableResource.AutomlModel

AutomlModel(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents one Model in automl.googleapis.com.

See more: google.cloud.aiplatform_v1beta1.types.MigratableResource.AutomlModel

google.cloud.aiplatform_v1beta1.types.MigratableResource.DataLabelingDataset

DataLabelingDataset(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents one Dataset in datalabeling.googleapis.com.

See more: google.cloud.aiplatform_v1beta1.types.MigratableResource.DataLabelingDataset

google.cloud.aiplatform_v1beta1.types.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset

DataLabelingAnnotatedDataset(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Represents one AnnotatedDataset in datalabeling.googleapis.com.

See more: google.cloud.aiplatform_v1beta1.types.MigratableResource.DataLabelingDataset.DataLabelingAnnotatedDataset

google.cloud.aiplatform_v1beta1.types.MigratableResource.MlEngineModelVersion

MlEngineModelVersion(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents one model Version in ml.googleapis.com.

See more: google.cloud.aiplatform_v1beta1.types.MigratableResource.MlEngineModelVersion

google.cloud.aiplatform_v1beta1.types.MigrateResourceRequest

MigrateResourceRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Config of migrating one resource from automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.

See more: google.cloud.aiplatform_v1beta1.types.MigrateResourceRequest

google.cloud.aiplatform_v1beta1.types.MigrateResourceRequest.MigrateAutomlDatasetConfig

MigrateAutomlDatasetConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Config for migrating Dataset in automl.googleapis.com to Vertex AI's Dataset.

See more: google.cloud.aiplatform_v1beta1.types.MigrateResourceRequest.MigrateAutomlDatasetConfig

google.cloud.aiplatform_v1beta1.types.MigrateResourceRequest.MigrateAutomlModelConfig

MigrateAutomlModelConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Config for migrating Model in automl.googleapis.com to Vertex AI's Model.

See more: google.cloud.aiplatform_v1beta1.types.MigrateResourceRequest.MigrateAutomlModelConfig

google.cloud.aiplatform_v1beta1.types.MigrateResourceRequest.MigrateDataLabelingDatasetConfig

MigrateDataLabelingDatasetConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Config for migrating Dataset in datalabeling.googleapis.com to Vertex AI's Dataset.

See more: google.cloud.aiplatform_v1beta1.types.MigrateResourceRequest.MigrateDataLabelingDatasetConfig

google.cloud.aiplatform_v1beta1.types.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig

MigrateDataLabelingAnnotatedDatasetConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Config for migrating AnnotatedDataset in datalabeling.googleapis.com to Vertex AI's SavedQuery.

See more: google.cloud.aiplatform_v1beta1.types.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig

google.cloud.aiplatform_v1beta1.types.MigrateResourceRequest.MigrateMlEngineModelVersionConfig

MigrateMlEngineModelVersionConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Config for migrating version in ml.googleapis.com to Vertex AI's Model.

See more: google.cloud.aiplatform_v1beta1.types.MigrateResourceRequest.MigrateMlEngineModelVersionConfig

google.cloud.aiplatform_v1beta1.types.MigrateResourceResponse

MigrateResourceResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Describes a successfully migrated resource.

See more: google.cloud.aiplatform_v1beta1.types.MigrateResourceResponse

google.cloud.aiplatform_v1beta1.types.Model

Model(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A trained machine learning Model.

See more: google.cloud.aiplatform_v1beta1.types.Model

google.cloud.aiplatform_v1beta1.types.Model.BaseModelSource

BaseModelSource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

User input field to specify the base model source.

See more: google.cloud.aiplatform_v1beta1.types.Model.BaseModelSource

google.cloud.aiplatform_v1beta1.types.Model.DeploymentResourcesType

DeploymentResourcesType(value)

Identifies a type of Model's prediction resources.

See more: google.cloud.aiplatform_v1beta1.types.Model.DeploymentResourcesType

google.cloud.aiplatform_v1beta1.types.Model.ExportFormat

ExportFormat(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents export format supported by the Model.

See more: google.cloud.aiplatform_v1beta1.types.Model.ExportFormat

google.cloud.aiplatform_v1beta1.types.Model.ExportFormat.ExportableContent

ExportableContent(value)

The Model content that can be exported.

See more: google.cloud.aiplatform_v1beta1.types.Model.ExportFormat.ExportableContent

google.cloud.aiplatform_v1beta1.types.Model.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.Model.LabelsEntry

google.cloud.aiplatform_v1beta1.types.Model.OriginalModelInfo

OriginalModelInfo(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Contains information about the original Model if this Model is a copy.

See more: google.cloud.aiplatform_v1beta1.types.Model.OriginalModelInfo

google.cloud.aiplatform_v1beta1.types.ModelContainerSpec

ModelContainerSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Specification of a container for serving predictions.

See more: google.cloud.aiplatform_v1beta1.types.ModelContainerSpec

google.cloud.aiplatform_v1beta1.types.ModelDeploymentMonitoringBigQueryTable

ModelDeploymentMonitoringBigQueryTable(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

ModelDeploymentMonitoringBigQueryTable specifies the BigQuery table name as well as some information of the logs stored in this table.

See more: google.cloud.aiplatform_v1beta1.types.ModelDeploymentMonitoringBigQueryTable

google.cloud.aiplatform_v1beta1.types.ModelDeploymentMonitoringBigQueryTable.LogSource

LogSource(value)

Indicates where does the log come from.

See more: google.cloud.aiplatform_v1beta1.types.ModelDeploymentMonitoringBigQueryTable.LogSource

google.cloud.aiplatform_v1beta1.types.ModelDeploymentMonitoringBigQueryTable.LogType

LogType(value)

Indicates what type of traffic does the log belong to.

See more: google.cloud.aiplatform_v1beta1.types.ModelDeploymentMonitoringBigQueryTable.LogType

google.cloud.aiplatform_v1beta1.types.ModelDeploymentMonitoringJob

ModelDeploymentMonitoringJob(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Represents a job that runs periodically to monitor the deployed models in an endpoint.

See more: google.cloud.aiplatform_v1beta1.types.ModelDeploymentMonitoringJob

google.cloud.aiplatform_v1beta1.types.ModelDeploymentMonitoringJob.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.ModelDeploymentMonitoringJob.LabelsEntry

google.cloud.aiplatform_v1beta1.types.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata

LatestMonitoringPipelineMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

All metadata of most recent monitoring pipelines.

See more: google.cloud.aiplatform_v1beta1.types.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata

google.cloud.aiplatform_v1beta1.types.ModelDeploymentMonitoringJob.MonitoringScheduleState

MonitoringScheduleState(value)

The state to Specify the monitoring pipeline.

See more: google.cloud.aiplatform_v1beta1.types.ModelDeploymentMonitoringJob.MonitoringScheduleState

google.cloud.aiplatform_v1beta1.types.ModelDeploymentMonitoringObjectiveConfig

ModelDeploymentMonitoringObjectiveConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

ModelDeploymentMonitoringObjectiveConfig contains the pair of deployed_model_id to ModelMonitoringObjectiveConfig.

See more: google.cloud.aiplatform_v1beta1.types.ModelDeploymentMonitoringObjectiveConfig

google.cloud.aiplatform_v1beta1.types.ModelDeploymentMonitoringObjectiveType

ModelDeploymentMonitoringObjectiveType(value)

The Model Monitoring Objective types.

See more: google.cloud.aiplatform_v1beta1.types.ModelDeploymentMonitoringObjectiveType

google.cloud.aiplatform_v1beta1.types.ModelDeploymentMonitoringScheduleConfig

ModelDeploymentMonitoringScheduleConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The config for scheduling monitoring job.

See more: google.cloud.aiplatform_v1beta1.types.ModelDeploymentMonitoringScheduleConfig

google.cloud.aiplatform_v1beta1.types.ModelEvaluation

ModelEvaluation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A collection of metrics calculated by comparing Model's predictions on all of the test data against annotations from the test data.

See more: google.cloud.aiplatform_v1beta1.types.ModelEvaluation

google.cloud.aiplatform_v1beta1.types.ModelEvaluation.BiasConfig

BiasConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration for bias detection.

See more: google.cloud.aiplatform_v1beta1.types.ModelEvaluation.BiasConfig

google.cloud.aiplatform_v1beta1.types.ModelEvaluation.ModelEvaluationExplanationSpec

ModelEvaluationExplanationSpec(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

See more: google.cloud.aiplatform_v1beta1.types.ModelEvaluation.ModelEvaluationExplanationSpec

google.cloud.aiplatform_v1beta1.types.ModelEvaluationSlice

ModelEvaluationSlice(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A collection of metrics calculated by comparing Model's predictions on a slice of the test data against ground truth annotations.

See more: google.cloud.aiplatform_v1beta1.types.ModelEvaluationSlice

google.cloud.aiplatform_v1beta1.types.ModelEvaluationSlice.Slice

Slice(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Definition of a slice.

See more: google.cloud.aiplatform_v1beta1.types.ModelEvaluationSlice.Slice

google.cloud.aiplatform_v1beta1.types.ModelEvaluationSlice.Slice.SliceSpec

SliceSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Specification for how the data should be sliced.

See more: google.cloud.aiplatform_v1beta1.types.ModelEvaluationSlice.Slice.SliceSpec

google.cloud.aiplatform_v1beta1.types.ModelEvaluationSlice.Slice.SliceSpec.ConfigsEntry

ConfigsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.ModelEvaluationSlice.Slice.SliceSpec.ConfigsEntry

google.cloud.aiplatform_v1beta1.types.ModelEvaluationSlice.Slice.SliceSpec.Range

Range(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A range of values for slice(s).

See more: google.cloud.aiplatform_v1beta1.types.ModelEvaluationSlice.Slice.SliceSpec.Range

google.cloud.aiplatform_v1beta1.types.ModelEvaluationSlice.Slice.SliceSpec.SliceConfig

SliceConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Specification message containing the config for this SliceSpec.

See more: google.cloud.aiplatform_v1beta1.types.ModelEvaluationSlice.Slice.SliceSpec.SliceConfig

google.cloud.aiplatform_v1beta1.types.ModelEvaluationSlice.Slice.SliceSpec.Value

Value(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Single value that supports strings and floats.

See more: google.cloud.aiplatform_v1beta1.types.ModelEvaluationSlice.Slice.SliceSpec.Value

google.cloud.aiplatform_v1beta1.types.ModelExplanation

ModelExplanation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Aggregated explanation metrics for a Model over a set of instances.

See more: google.cloud.aiplatform_v1beta1.types.ModelExplanation

google.cloud.aiplatform_v1beta1.types.ModelGardenSource

ModelGardenSource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Contains information about the source of the models generated from Model Garden.

See more: google.cloud.aiplatform_v1beta1.types.ModelGardenSource

google.cloud.aiplatform_v1beta1.types.ModelMonitoringAlertConfig

ModelMonitoringAlertConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The alert config for model monitoring.

See more: google.cloud.aiplatform_v1beta1.types.ModelMonitoringAlertConfig

google.cloud.aiplatform_v1beta1.types.ModelMonitoringAlertConfig.EmailAlertConfig

EmailAlertConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The config for email alert.

See more: google.cloud.aiplatform_v1beta1.types.ModelMonitoringAlertConfig.EmailAlertConfig

google.cloud.aiplatform_v1beta1.types.ModelMonitoringConfig

ModelMonitoringConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The model monitoring configuration used for Batch Prediction Job.

See more: google.cloud.aiplatform_v1beta1.types.ModelMonitoringConfig

google.cloud.aiplatform_v1beta1.types.ModelMonitoringObjectiveConfig

ModelMonitoringObjectiveConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The objective configuration for model monitoring, including the information needed to detect anomalies for one particular model.

See more: google.cloud.aiplatform_v1beta1.types.ModelMonitoringObjectiveConfig

google.cloud.aiplatform_v1beta1.types.ModelMonitoringObjectiveConfig.ExplanationConfig

ExplanationConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The config for integrating with Vertex Explainable AI.

See more: google.cloud.aiplatform_v1beta1.types.ModelMonitoringObjectiveConfig.ExplanationConfig

google.cloud.aiplatform_v1beta1.types.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline

ExplanationBaseline(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Output from BatchPredictionJob for Model Monitoring baseline dataset, which can be used to generate baseline attribution scores.

See more: google.cloud.aiplatform_v1beta1.types.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline

google.cloud.aiplatform_v1beta1.types.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.PredictionFormat

PredictionFormat(value)

The storage format of the predictions generated BatchPrediction job.

See more: google.cloud.aiplatform_v1beta1.types.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.PredictionFormat

google.cloud.aiplatform_v1beta1.types.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig

PredictionDriftDetectionConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The config for Prediction data drift detection.

See more: google.cloud.aiplatform_v1beta1.types.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig

google.cloud.aiplatform_v1beta1.types.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.AttributionScoreDriftThresholdsEntry

AttributionScoreDriftThresholdsEntry(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.AttributionScoreDriftThresholdsEntry

google.cloud.aiplatform_v1beta1.types.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.DriftThresholdsEntry

DriftThresholdsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.DriftThresholdsEntry

google.cloud.aiplatform_v1beta1.types.ModelMonitoringObjectiveConfig.TrainingDataset

TrainingDataset(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Training Dataset information.

See more: google.cloud.aiplatform_v1beta1.types.ModelMonitoringObjectiveConfig.TrainingDataset

google.cloud.aiplatform_v1beta1.types.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig

TrainingPredictionSkewDetectionConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The config for Training & Prediction data skew detection.

See more: google.cloud.aiplatform_v1beta1.types.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig

google.cloud.aiplatform_v1beta1.types.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.AttributionScoreSkewThresholdsEntry

AttributionScoreSkewThresholdsEntry(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.AttributionScoreSkewThresholdsEntry

google.cloud.aiplatform_v1beta1.types.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.SkewThresholdsEntry

SkewThresholdsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.SkewThresholdsEntry

google.cloud.aiplatform_v1beta1.types.ModelMonitoringStatsAnomalies

ModelMonitoringStatsAnomalies(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Statistics and anomalies generated by Model Monitoring.

See more: google.cloud.aiplatform_v1beta1.types.ModelMonitoringStatsAnomalies

google.cloud.aiplatform_v1beta1.types.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies

FeatureHistoricStatsAnomalies(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Historical Stats (and Anomalies) for a specific Feature.

See more: google.cloud.aiplatform_v1beta1.types.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies

google.cloud.aiplatform_v1beta1.types.ModelSourceInfo

ModelSourceInfo(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Detail description of the source information of the model.

See more: google.cloud.aiplatform_v1beta1.types.ModelSourceInfo

google.cloud.aiplatform_v1beta1.types.ModelSourceInfo.ModelSourceType

ModelSourceType(value)

Source of the model.

See more: google.cloud.aiplatform_v1beta1.types.ModelSourceInfo.ModelSourceType

google.cloud.aiplatform_v1beta1.types.MutateDeployedIndexOperationMetadata

MutateDeployedIndexOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for IndexEndpointService.MutateDeployedIndex.

See more: google.cloud.aiplatform_v1beta1.types.MutateDeployedIndexOperationMetadata

google.cloud.aiplatform_v1beta1.types.MutateDeployedIndexRequest

MutateDeployedIndexRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexEndpointService.MutateDeployedIndex.

See more: google.cloud.aiplatform_v1beta1.types.MutateDeployedIndexRequest

google.cloud.aiplatform_v1beta1.types.MutateDeployedIndexResponse

MutateDeployedIndexResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for IndexEndpointService.MutateDeployedIndex.

See more: google.cloud.aiplatform_v1beta1.types.MutateDeployedIndexResponse

google.cloud.aiplatform_v1beta1.types.MutateDeployedModelOperationMetadata

MutateDeployedModelOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for EndpointService.MutateDeployedModel.

See more: google.cloud.aiplatform_v1beta1.types.MutateDeployedModelOperationMetadata

google.cloud.aiplatform_v1beta1.types.MutateDeployedModelRequest

MutateDeployedModelRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for EndpointService.MutateDeployedModel.

See more: google.cloud.aiplatform_v1beta1.types.MutateDeployedModelRequest

google.cloud.aiplatform_v1beta1.types.MutateDeployedModelResponse

MutateDeployedModelResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for EndpointService.MutateDeployedModel.

See more: google.cloud.aiplatform_v1beta1.types.MutateDeployedModelResponse

google.cloud.aiplatform_v1beta1.types.NasJob

NasJob(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a Neural Architecture Search (NAS) job.

See more: google.cloud.aiplatform_v1beta1.types.NasJob

google.cloud.aiplatform_v1beta1.types.NasJob.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.NasJob.LabelsEntry

google.cloud.aiplatform_v1beta1.types.NasJobOutput

NasJobOutput(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a uCAIP NasJob output.

See more: google.cloud.aiplatform_v1beta1.types.NasJobOutput

google.cloud.aiplatform_v1beta1.types.NasJobOutput.MultiTrialJobOutput

MultiTrialJobOutput(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The output of a multi-trial Neural Architecture Search (NAS) jobs.

See more: google.cloud.aiplatform_v1beta1.types.NasJobOutput.MultiTrialJobOutput

google.cloud.aiplatform_v1beta1.types.NasJobSpec

NasJobSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents the spec of a NasJob.

See more: google.cloud.aiplatform_v1beta1.types.NasJobSpec

google.cloud.aiplatform_v1beta1.types.NasJobSpec.MultiTrialAlgorithmSpec

MultiTrialAlgorithmSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The spec of multi-trial Neural Architecture Search (NAS).

See more: google.cloud.aiplatform_v1beta1.types.NasJobSpec.MultiTrialAlgorithmSpec

google.cloud.aiplatform_v1beta1.types.NasJobSpec.MultiTrialAlgorithmSpec.MetricSpec

MetricSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a metric to optimize.

See more: google.cloud.aiplatform_v1beta1.types.NasJobSpec.MultiTrialAlgorithmSpec.MetricSpec

google.cloud.aiplatform_v1beta1.types.NasJobSpec.MultiTrialAlgorithmSpec.MetricSpec.GoalType

GoalType(value)

The available types of optimization goals.

See more: google.cloud.aiplatform_v1beta1.types.NasJobSpec.MultiTrialAlgorithmSpec.MetricSpec.GoalType

google.cloud.aiplatform_v1beta1.types.NasJobSpec.MultiTrialAlgorithmSpec.MultiTrialAlgorithm

MultiTrialAlgorithm(value)

The available types of multi-trial algorithms.

See more: google.cloud.aiplatform_v1beta1.types.NasJobSpec.MultiTrialAlgorithmSpec.MultiTrialAlgorithm

google.cloud.aiplatform_v1beta1.types.NasJobSpec.MultiTrialAlgorithmSpec.SearchTrialSpec

SearchTrialSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represent spec for search trials.

See more: google.cloud.aiplatform_v1beta1.types.NasJobSpec.MultiTrialAlgorithmSpec.SearchTrialSpec

google.cloud.aiplatform_v1beta1.types.NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec

TrainTrialSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represent spec for train trials.

See more: google.cloud.aiplatform_v1beta1.types.NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec

google.cloud.aiplatform_v1beta1.types.NasTrial

NasTrial(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a uCAIP NasJob trial.

See more: google.cloud.aiplatform_v1beta1.types.NasTrial

google.cloud.aiplatform_v1beta1.types.NasTrial.State

State(value)

Describes a NasTrial state.

See more: google.cloud.aiplatform_v1beta1.types.NasTrial.State

google.cloud.aiplatform_v1beta1.types.NasTrialDetail

NasTrialDetail(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a NasTrial details along with its parameters.

See more: google.cloud.aiplatform_v1beta1.types.NasTrialDetail

google.cloud.aiplatform_v1beta1.types.NearestNeighborQuery

NearestNeighborQuery(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A query to find a number of similar entities.

See more: google.cloud.aiplatform_v1beta1.types.NearestNeighborQuery

google.cloud.aiplatform_v1beta1.types.NearestNeighborQuery.Embedding

Embedding(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The embedding vector.

See more: google.cloud.aiplatform_v1beta1.types.NearestNeighborQuery.Embedding

google.cloud.aiplatform_v1beta1.types.NearestNeighborQuery.Parameters

Parameters(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Parameters that can be overrided in each query to tune query latency and recall.

See more: google.cloud.aiplatform_v1beta1.types.NearestNeighborQuery.Parameters

google.cloud.aiplatform_v1beta1.types.NearestNeighborQuery.StringFilter

StringFilter(mapping=None, *, ignore_unknown_fields=False, **kwargs)

String filter is used to search a subset of the entities by using boolean rules on string columns.

See more: google.cloud.aiplatform_v1beta1.types.NearestNeighborQuery.StringFilter

google.cloud.aiplatform_v1beta1.types.NearestNeighborSearchOperationMetadata

NearestNeighborSearchOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation metadata with regard to Matching Engine Index.

See more: google.cloud.aiplatform_v1beta1.types.NearestNeighborSearchOperationMetadata

google.cloud.aiplatform_v1beta1.types.NearestNeighborSearchOperationMetadata.ContentValidationStats

ContentValidationStats(mapping=None, *, ignore_unknown_fields=False, **kwargs)

See more: google.cloud.aiplatform_v1beta1.types.NearestNeighborSearchOperationMetadata.ContentValidationStats

google.cloud.aiplatform_v1beta1.types.NearestNeighborSearchOperationMetadata.RecordError

RecordError(mapping=None, *, ignore_unknown_fields=False, **kwargs)

See more: google.cloud.aiplatform_v1beta1.types.NearestNeighborSearchOperationMetadata.RecordError

google.cloud.aiplatform_v1beta1.types.NearestNeighborSearchOperationMetadata.RecordError.RecordErrorType

RecordErrorType(value)

Values: ERROR_TYPE_UNSPECIFIED (0): Default, shall not be used.

See more: google.cloud.aiplatform_v1beta1.types.NearestNeighborSearchOperationMetadata.RecordError.RecordErrorType

google.cloud.aiplatform_v1beta1.types.NearestNeighbors

NearestNeighbors(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Nearest neighbors for one query.

See more: google.cloud.aiplatform_v1beta1.types.NearestNeighbors

google.cloud.aiplatform_v1beta1.types.NearestNeighbors.Neighbor

Neighbor(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A neighbor of the query vector.

See more: google.cloud.aiplatform_v1beta1.types.NearestNeighbors.Neighbor

google.cloud.aiplatform_v1beta1.types.Neighbor

Neighbor(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Neighbors for example-based explanations.

See more: google.cloud.aiplatform_v1beta1.types.Neighbor

google.cloud.aiplatform_v1beta1.types.NetworkSpec

NetworkSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Network spec.

See more: google.cloud.aiplatform_v1beta1.types.NetworkSpec

google.cloud.aiplatform_v1beta1.types.NfsMount

NfsMount(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a mount configuration for Network File System (NFS) to mount.

See more: google.cloud.aiplatform_v1beta1.types.NfsMount

google.cloud.aiplatform_v1beta1.types.NotebookEucConfig

NotebookEucConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The euc configuration of NotebookRuntimeTemplate.

See more: google.cloud.aiplatform_v1beta1.types.NotebookEucConfig

google.cloud.aiplatform_v1beta1.types.NotebookIdleShutdownConfig

NotebookIdleShutdownConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The idle shutdown configuration of NotebookRuntimeTemplate, which contains the idle_timeout as required field.

See more: google.cloud.aiplatform_v1beta1.types.NotebookIdleShutdownConfig

google.cloud.aiplatform_v1beta1.types.NotebookRuntime

NotebookRuntime(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A runtime is a virtual machine allocated to a particular user for a particular Notebook file on temporary basis with lifetime limited to 24 hours.

See more: google.cloud.aiplatform_v1beta1.types.NotebookRuntime

google.cloud.aiplatform_v1beta1.types.NotebookRuntime.HealthState

HealthState(value)

The substate of the NotebookRuntime to display health information.

See more: google.cloud.aiplatform_v1beta1.types.NotebookRuntime.HealthState

google.cloud.aiplatform_v1beta1.types.NotebookRuntime.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.NotebookRuntime.LabelsEntry

google.cloud.aiplatform_v1beta1.types.NotebookRuntime.RuntimeState

RuntimeState(value)

The substate of the NotebookRuntime to display state of runtime.

See more: google.cloud.aiplatform_v1beta1.types.NotebookRuntime.RuntimeState

google.cloud.aiplatform_v1beta1.types.NotebookRuntimeTemplate

NotebookRuntimeTemplate(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A template that specifies runtime configurations such as machine type, runtime version, network configurations, etc.

See more: google.cloud.aiplatform_v1beta1.types.NotebookRuntimeTemplate

google.cloud.aiplatform_v1beta1.types.NotebookRuntimeTemplate.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.NotebookRuntimeTemplate.LabelsEntry

google.cloud.aiplatform_v1beta1.types.NotebookRuntimeTemplateRef

NotebookRuntimeTemplateRef(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Points to a NotebookRuntimeTemplateRef.

See more: google.cloud.aiplatform_v1beta1.types.NotebookRuntimeTemplateRef

google.cloud.aiplatform_v1beta1.types.NotebookRuntimeType

NotebookRuntimeType(value)

Represents a notebook runtime type.

See more: google.cloud.aiplatform_v1beta1.types.NotebookRuntimeType

google.cloud.aiplatform_v1beta1.types.PairwiseChoice

PairwiseChoice(value)

Pairwise prediction autorater preference.

See more: google.cloud.aiplatform_v1beta1.types.PairwiseChoice

google.cloud.aiplatform_v1beta1.types.PairwiseQuestionAnsweringQualityInput

PairwiseQuestionAnsweringQualityInput(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Input for pairwise question answering quality metric.

See more: google.cloud.aiplatform_v1beta1.types.PairwiseQuestionAnsweringQualityInput

google.cloud.aiplatform_v1beta1.types.PairwiseQuestionAnsweringQualityInstance

PairwiseQuestionAnsweringQualityInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for pairwise question answering quality instance.

See more: google.cloud.aiplatform_v1beta1.types.PairwiseQuestionAnsweringQualityInstance

google.cloud.aiplatform_v1beta1.types.PairwiseQuestionAnsweringQualityResult

PairwiseQuestionAnsweringQualityResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for pairwise question answering quality result.

See more: google.cloud.aiplatform_v1beta1.types.PairwiseQuestionAnsweringQualityResult

google.cloud.aiplatform_v1beta1.types.PairwiseQuestionAnsweringQualitySpec

PairwiseQuestionAnsweringQualitySpec(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for pairwise question answering quality score metric.

See more: google.cloud.aiplatform_v1beta1.types.PairwiseQuestionAnsweringQualitySpec

google.cloud.aiplatform_v1beta1.types.PairwiseSummarizationQualityInput

PairwiseSummarizationQualityInput(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Input for pairwise summarization quality metric.

See more: google.cloud.aiplatform_v1beta1.types.PairwiseSummarizationQualityInput

google.cloud.aiplatform_v1beta1.types.PairwiseSummarizationQualityInstance

PairwiseSummarizationQualityInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for pairwise summarization quality instance.

See more: google.cloud.aiplatform_v1beta1.types.PairwiseSummarizationQualityInstance

google.cloud.aiplatform_v1beta1.types.PairwiseSummarizationQualityResult

PairwiseSummarizationQualityResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for pairwise summarization quality result.

See more: google.cloud.aiplatform_v1beta1.types.PairwiseSummarizationQualityResult

google.cloud.aiplatform_v1beta1.types.PairwiseSummarizationQualitySpec

PairwiseSummarizationQualitySpec(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for pairwise summarization quality score metric.

See more: google.cloud.aiplatform_v1beta1.types.PairwiseSummarizationQualitySpec

google.cloud.aiplatform_v1beta1.types.Part

Part(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A datatype containing media that is part of a multi-part Content message.

See more: google.cloud.aiplatform_v1beta1.types.Part

google.cloud.aiplatform_v1beta1.types.PauseModelDeploymentMonitoringJobRequest

PauseModelDeploymentMonitoringJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.PauseModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1beta1.types.PauseModelDeploymentMonitoringJobRequest

google.cloud.aiplatform_v1beta1.types.PauseScheduleRequest

PauseScheduleRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ScheduleService.PauseSchedule.

See more: google.cloud.aiplatform_v1beta1.types.PauseScheduleRequest

google.cloud.aiplatform_v1beta1.types.PersistentDiskSpec

PersistentDiskSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents the spec of [persistent disk][https://cloud.google.com/compute/docs/disks/persistent-disks] options.

See more: google.cloud.aiplatform_v1beta1.types.PersistentDiskSpec

google.cloud.aiplatform_v1beta1.types.PersistentResource

PersistentResource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents long-lasting resources that are dedicated to users to runs custom workloads.

See more: google.cloud.aiplatform_v1beta1.types.PersistentResource

google.cloud.aiplatform_v1beta1.types.PersistentResource.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.PersistentResource.LabelsEntry

google.cloud.aiplatform_v1beta1.types.PersistentResource.State

State(value)

Describes the PersistentResource state.

See more: google.cloud.aiplatform_v1beta1.types.PersistentResource.State

google.cloud.aiplatform_v1beta1.types.PipelineFailurePolicy

PipelineFailurePolicy(value)

Represents the failure policy of a pipeline.

See more: google.cloud.aiplatform_v1beta1.types.PipelineFailurePolicy

google.cloud.aiplatform_v1beta1.types.PipelineJob

PipelineJob(mapping=None, *, ignore_unknown_fields=False, **kwargs)

An instance of a machine learning PipelineJob.

See more: google.cloud.aiplatform_v1beta1.types.PipelineJob

google.cloud.aiplatform_v1beta1.types.PipelineJob.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.PipelineJob.LabelsEntry

google.cloud.aiplatform_v1beta1.types.PipelineJob.RuntimeConfig

RuntimeConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The runtime config of a PipelineJob.

See more: google.cloud.aiplatform_v1beta1.types.PipelineJob.RuntimeConfig

google.cloud.aiplatform_v1beta1.types.PipelineJob.RuntimeConfig.InputArtifact

InputArtifact(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The type of an input artifact.

See more: google.cloud.aiplatform_v1beta1.types.PipelineJob.RuntimeConfig.InputArtifact

google.cloud.aiplatform_v1beta1.types.PipelineJob.RuntimeConfig.InputArtifactsEntry

InputArtifactsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.PipelineJob.RuntimeConfig.InputArtifactsEntry

google.cloud.aiplatform_v1beta1.types.PipelineJob.RuntimeConfig.ParameterValuesEntry

ParameterValuesEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.PipelineJob.RuntimeConfig.ParameterValuesEntry

google.cloud.aiplatform_v1beta1.types.PipelineJob.RuntimeConfig.ParametersEntry

ParametersEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.PipelineJob.RuntimeConfig.ParametersEntry

google.cloud.aiplatform_v1beta1.types.PipelineJobDetail

PipelineJobDetail(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The runtime detail of PipelineJob.

See more: google.cloud.aiplatform_v1beta1.types.PipelineJobDetail

google.cloud.aiplatform_v1beta1.types.PipelineState

PipelineState(value)

Describes the state of a pipeline.

See more: google.cloud.aiplatform_v1beta1.types.PipelineState

google.cloud.aiplatform_v1beta1.types.PipelineTaskDetail

PipelineTaskDetail(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The runtime detail of a task execution.

See more: google.cloud.aiplatform_v1beta1.types.PipelineTaskDetail

google.cloud.aiplatform_v1beta1.types.PipelineTaskDetail.ArtifactList

ArtifactList(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A list of artifact metadata.

See more: google.cloud.aiplatform_v1beta1.types.PipelineTaskDetail.ArtifactList

google.cloud.aiplatform_v1beta1.types.PipelineTaskDetail.InputsEntry

InputsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.PipelineTaskDetail.InputsEntry

google.cloud.aiplatform_v1beta1.types.PipelineTaskDetail.OutputsEntry

OutputsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.PipelineTaskDetail.OutputsEntry

google.cloud.aiplatform_v1beta1.types.PipelineTaskDetail.PipelineTaskStatus

PipelineTaskStatus(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A single record of the task status.

See more: google.cloud.aiplatform_v1beta1.types.PipelineTaskDetail.PipelineTaskStatus

google.cloud.aiplatform_v1beta1.types.PipelineTaskDetail.State

State(value)

Specifies state of TaskExecution.

See more: google.cloud.aiplatform_v1beta1.types.PipelineTaskDetail.State

google.cloud.aiplatform_v1beta1.types.PipelineTaskExecutorDetail

PipelineTaskExecutorDetail(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The runtime detail of a pipeline executor.

See more: google.cloud.aiplatform_v1beta1.types.PipelineTaskExecutorDetail

google.cloud.aiplatform_v1beta1.types.PipelineTaskExecutorDetail.ContainerDetail

ContainerDetail(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The detail of a container execution.

See more: google.cloud.aiplatform_v1beta1.types.PipelineTaskExecutorDetail.ContainerDetail

google.cloud.aiplatform_v1beta1.types.PipelineTaskExecutorDetail.CustomJobDetail

CustomJobDetail(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The detailed info for a custom job executor.

See more: google.cloud.aiplatform_v1beta1.types.PipelineTaskExecutorDetail.CustomJobDetail

google.cloud.aiplatform_v1beta1.types.PipelineTemplateMetadata

PipelineTemplateMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Pipeline template metadata if PipelineJob.template_uri is from supported template registry.

See more: google.cloud.aiplatform_v1beta1.types.PipelineTemplateMetadata

google.cloud.aiplatform_v1beta1.types.Port

Port(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a network port in a container.

See more: google.cloud.aiplatform_v1beta1.types.Port

google.cloud.aiplatform_v1beta1.types.PredefinedSplit

PredefinedSplit(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Assigns input data to training, validation, and test sets based on the value of a provided key.

See more: google.cloud.aiplatform_v1beta1.types.PredefinedSplit

google.cloud.aiplatform_v1beta1.types.PredictRequest

PredictRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PredictionService.Predict.

See more: google.cloud.aiplatform_v1beta1.types.PredictRequest

google.cloud.aiplatform_v1beta1.types.PredictRequestResponseLoggingConfig

PredictRequestResponseLoggingConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Configuration for logging request-response to a BigQuery table.

See more: google.cloud.aiplatform_v1beta1.types.PredictRequestResponseLoggingConfig

google.cloud.aiplatform_v1beta1.types.PredictResponse

PredictResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for PredictionService.Predict.

See more: google.cloud.aiplatform_v1beta1.types.PredictResponse

google.cloud.aiplatform_v1beta1.types.PredictSchemata

PredictSchemata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Contains the schemata used in Model's predictions and explanations via PredictionService.Predict, PredictionService.Explain and BatchPredictionJob.

See more: google.cloud.aiplatform_v1beta1.types.PredictSchemata

google.cloud.aiplatform_v1beta1.types.Presets

Presets(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Preset configuration for example-based explanations.

See more: google.cloud.aiplatform_v1beta1.types.Presets

google.cloud.aiplatform_v1beta1.types.Presets.Modality

Modality(value)

Preset option controlling parameters for different modalities.

See more: google.cloud.aiplatform_v1beta1.types.Presets.Modality

google.cloud.aiplatform_v1beta1.types.Presets.Query

Query(value)

Preset option controlling parameters for query speed-precision trade-off.

See more: google.cloud.aiplatform_v1beta1.types.Presets.Query

google.cloud.aiplatform_v1beta1.types.PrivateEndpoints

PrivateEndpoints(mapping=None, *, ignore_unknown_fields=False, **kwargs)

PrivateEndpoints proto is used to provide paths for users to send requests privately.

See more: google.cloud.aiplatform_v1beta1.types.PrivateEndpoints

google.cloud.aiplatform_v1beta1.types.PrivateServiceConnectConfig

PrivateServiceConnectConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents configuration for private service connect.

See more: google.cloud.aiplatform_v1beta1.types.PrivateServiceConnectConfig

google.cloud.aiplatform_v1beta1.types.Probe

Probe(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic.

See more: google.cloud.aiplatform_v1beta1.types.Probe

google.cloud.aiplatform_v1beta1.types.Probe.ExecAction

ExecAction(mapping=None, *, ignore_unknown_fields=False, **kwargs)

ExecAction specifies a command to execute.

See more: google.cloud.aiplatform_v1beta1.types.Probe.ExecAction

google.cloud.aiplatform_v1beta1.types.PscAutomatedEndpoints

PscAutomatedEndpoints(mapping=None, *, ignore_unknown_fields=False, **kwargs)

PscAutomatedEndpoints defines the output of the forwarding rule automatically created by each PscAutomationConfig.

See more: google.cloud.aiplatform_v1beta1.types.PscAutomatedEndpoints

google.cloud.aiplatform_v1beta1.types.PublisherModel

PublisherModel(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A Model Garden Publisher Model.

See more: google.cloud.aiplatform_v1beta1.types.PublisherModel

google.cloud.aiplatform_v1beta1.types.PublisherModel.CallToAction

CallToAction(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Actions could take on this Publisher Model.

See more: google.cloud.aiplatform_v1beta1.types.PublisherModel.CallToAction

google.cloud.aiplatform_v1beta1.types.PublisherModel.CallToAction.Deploy

Deploy(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Model metadata that is needed for UploadModel or DeployModel/CreateEndpoint requests.

See more: google.cloud.aiplatform_v1beta1.types.PublisherModel.CallToAction.Deploy

google.cloud.aiplatform_v1beta1.types.PublisherModel.CallToAction.DeployGke

DeployGke(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configurations for PublisherModel GKE deployment .

See more: google.cloud.aiplatform_v1beta1.types.PublisherModel.CallToAction.DeployGke

google.cloud.aiplatform_v1beta1.types.PublisherModel.CallToAction.OpenFineTuningPipelines

OpenFineTuningPipelines(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Open fine tuning pipelines.

See more: google.cloud.aiplatform_v1beta1.types.PublisherModel.CallToAction.OpenFineTuningPipelines

google.cloud.aiplatform_v1beta1.types.PublisherModel.CallToAction.OpenNotebooks

OpenNotebooks(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Open notebooks.

See more: google.cloud.aiplatform_v1beta1.types.PublisherModel.CallToAction.OpenNotebooks

google.cloud.aiplatform_v1beta1.types.PublisherModel.CallToAction.RegionalResourceReferences

RegionalResourceReferences(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The regional resource name or the URI.

See more: google.cloud.aiplatform_v1beta1.types.PublisherModel.CallToAction.RegionalResourceReferences

google.cloud.aiplatform_v1beta1.types.PublisherModel.CallToAction.RegionalResourceReferences.ReferencesEntry

ReferencesEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.PublisherModel.CallToAction.RegionalResourceReferences.ReferencesEntry

google.cloud.aiplatform_v1beta1.types.PublisherModel.CallToAction.ViewRestApi

ViewRestApi(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Rest API docs.

See more: google.cloud.aiplatform_v1beta1.types.PublisherModel.CallToAction.ViewRestApi

google.cloud.aiplatform_v1beta1.types.PublisherModel.Documentation

Documentation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A named piece of documentation.

See more: google.cloud.aiplatform_v1beta1.types.PublisherModel.Documentation

google.cloud.aiplatform_v1beta1.types.PublisherModel.LaunchStage

LaunchStage(value)

An enum representing the launch stage of a PublisherModel.

See more: google.cloud.aiplatform_v1beta1.types.PublisherModel.LaunchStage

google.cloud.aiplatform_v1beta1.types.PublisherModel.OpenSourceCategory

OpenSourceCategory(value)

An enum representing the open source category of a PublisherModel.

See more: google.cloud.aiplatform_v1beta1.types.PublisherModel.OpenSourceCategory

google.cloud.aiplatform_v1beta1.types.PublisherModel.Parent

Parent(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The information about the parent of a model.

See more: google.cloud.aiplatform_v1beta1.types.PublisherModel.Parent

google.cloud.aiplatform_v1beta1.types.PublisherModel.ResourceReference

ResourceReference(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Reference to a resource.

See more: google.cloud.aiplatform_v1beta1.types.PublisherModel.ResourceReference

google.cloud.aiplatform_v1beta1.types.PublisherModel.VersionState

VersionState(value)

An enum representing the state of the PublicModelVersion.

See more: google.cloud.aiplatform_v1beta1.types.PublisherModel.VersionState

google.cloud.aiplatform_v1beta1.types.PublisherModelView

PublisherModelView(value)

View enumeration of PublisherModel.

See more: google.cloud.aiplatform_v1beta1.types.PublisherModelView

google.cloud.aiplatform_v1beta1.types.PurgeArtifactsMetadata

PurgeArtifactsMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Details of operations that perform MetadataService.PurgeArtifacts.

See more: google.cloud.aiplatform_v1beta1.types.PurgeArtifactsMetadata

google.cloud.aiplatform_v1beta1.types.PurgeArtifactsRequest

PurgeArtifactsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.PurgeArtifacts.

See more: google.cloud.aiplatform_v1beta1.types.PurgeArtifactsRequest

google.cloud.aiplatform_v1beta1.types.PurgeArtifactsResponse

PurgeArtifactsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for MetadataService.PurgeArtifacts.

See more: google.cloud.aiplatform_v1beta1.types.PurgeArtifactsResponse

google.cloud.aiplatform_v1beta1.types.PurgeContextsMetadata

PurgeContextsMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Details of operations that perform MetadataService.PurgeContexts.

See more: google.cloud.aiplatform_v1beta1.types.PurgeContextsMetadata

google.cloud.aiplatform_v1beta1.types.PurgeContextsRequest

PurgeContextsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.PurgeContexts.

See more: google.cloud.aiplatform_v1beta1.types.PurgeContextsRequest

google.cloud.aiplatform_v1beta1.types.PurgeContextsResponse

PurgeContextsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for MetadataService.PurgeContexts.

See more: google.cloud.aiplatform_v1beta1.types.PurgeContextsResponse

google.cloud.aiplatform_v1beta1.types.PurgeExecutionsMetadata

PurgeExecutionsMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Details of operations that perform MetadataService.PurgeExecutions.

See more: google.cloud.aiplatform_v1beta1.types.PurgeExecutionsMetadata

google.cloud.aiplatform_v1beta1.types.PurgeExecutionsRequest

PurgeExecutionsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.PurgeExecutions.

See more: google.cloud.aiplatform_v1beta1.types.PurgeExecutionsRequest

google.cloud.aiplatform_v1beta1.types.PurgeExecutionsResponse

PurgeExecutionsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for MetadataService.PurgeExecutions.

See more: google.cloud.aiplatform_v1beta1.types.PurgeExecutionsResponse

google.cloud.aiplatform_v1beta1.types.PythonPackageSpec

PythonPackageSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The spec of a Python packaged code.

See more: google.cloud.aiplatform_v1beta1.types.PythonPackageSpec

google.cloud.aiplatform_v1beta1.types.QueryArtifactLineageSubgraphRequest

QueryArtifactLineageSubgraphRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for MetadataService.QueryArtifactLineageSubgraph.

See more: google.cloud.aiplatform_v1beta1.types.QueryArtifactLineageSubgraphRequest

google.cloud.aiplatform_v1beta1.types.QueryContextLineageSubgraphRequest

QueryContextLineageSubgraphRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for MetadataService.QueryContextLineageSubgraph.

See more: google.cloud.aiplatform_v1beta1.types.QueryContextLineageSubgraphRequest

google.cloud.aiplatform_v1beta1.types.QueryDeployedModelsRequest

QueryDeployedModelsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for QueryDeployedModels method.

See more: google.cloud.aiplatform_v1beta1.types.QueryDeployedModelsRequest

google.cloud.aiplatform_v1beta1.types.QueryDeployedModelsResponse

QueryDeployedModelsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for QueryDeployedModels method.

See more: google.cloud.aiplatform_v1beta1.types.QueryDeployedModelsResponse

google.cloud.aiplatform_v1beta1.types.QueryExecutionInputsAndOutputsRequest

QueryExecutionInputsAndOutputsRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for MetadataService.QueryExecutionInputsAndOutputs.

See more: google.cloud.aiplatform_v1beta1.types.QueryExecutionInputsAndOutputsRequest

google.cloud.aiplatform_v1beta1.types.QueryExtensionRequest

QueryExtensionRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ExtensionExecutionService.QueryExtension.

See more: google.cloud.aiplatform_v1beta1.types.QueryExtensionRequest

google.cloud.aiplatform_v1beta1.types.QueryExtensionResponse

QueryExtensionResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for ExtensionExecutionService.QueryExtension.

See more: google.cloud.aiplatform_v1beta1.types.QueryExtensionResponse

google.cloud.aiplatform_v1beta1.types.QueryReasoningEngineRequest

QueryReasoningEngineRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for [ReasoningEngineExecutionService.Query][].

See more: google.cloud.aiplatform_v1beta1.types.QueryReasoningEngineRequest

google.cloud.aiplatform_v1beta1.types.QueryReasoningEngineResponse

QueryReasoningEngineResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for [ReasoningEngineExecutionService.Query][] .

See more: google.cloud.aiplatform_v1beta1.types.QueryReasoningEngineResponse

google.cloud.aiplatform_v1beta1.types.QuestionAnsweringCorrectnessInput

QuestionAnsweringCorrectnessInput(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Input for question answering correctness metric.

See more: google.cloud.aiplatform_v1beta1.types.QuestionAnsweringCorrectnessInput

google.cloud.aiplatform_v1beta1.types.QuestionAnsweringCorrectnessInstance

QuestionAnsweringCorrectnessInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for question answering correctness instance.

See more: google.cloud.aiplatform_v1beta1.types.QuestionAnsweringCorrectnessInstance

google.cloud.aiplatform_v1beta1.types.QuestionAnsweringCorrectnessResult

QuestionAnsweringCorrectnessResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for question answering correctness result.

See more: google.cloud.aiplatform_v1beta1.types.QuestionAnsweringCorrectnessResult

google.cloud.aiplatform_v1beta1.types.QuestionAnsweringCorrectnessSpec

QuestionAnsweringCorrectnessSpec(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for question answering correctness metric.

See more: google.cloud.aiplatform_v1beta1.types.QuestionAnsweringCorrectnessSpec

google.cloud.aiplatform_v1beta1.types.QuestionAnsweringHelpfulnessInput

QuestionAnsweringHelpfulnessInput(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Input for question answering helpfulness metric.

See more: google.cloud.aiplatform_v1beta1.types.QuestionAnsweringHelpfulnessInput

google.cloud.aiplatform_v1beta1.types.QuestionAnsweringHelpfulnessInstance

QuestionAnsweringHelpfulnessInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for question answering helpfulness instance.

See more: google.cloud.aiplatform_v1beta1.types.QuestionAnsweringHelpfulnessInstance

google.cloud.aiplatform_v1beta1.types.QuestionAnsweringHelpfulnessResult

QuestionAnsweringHelpfulnessResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for question answering helpfulness result.

See more: google.cloud.aiplatform_v1beta1.types.QuestionAnsweringHelpfulnessResult

google.cloud.aiplatform_v1beta1.types.QuestionAnsweringHelpfulnessSpec

QuestionAnsweringHelpfulnessSpec(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for question answering helpfulness metric.

See more: google.cloud.aiplatform_v1beta1.types.QuestionAnsweringHelpfulnessSpec

google.cloud.aiplatform_v1beta1.types.QuestionAnsweringQualityInput

QuestionAnsweringQualityInput(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Input for question answering quality metric.

See more: google.cloud.aiplatform_v1beta1.types.QuestionAnsweringQualityInput

google.cloud.aiplatform_v1beta1.types.QuestionAnsweringQualityInstance

QuestionAnsweringQualityInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for question answering quality instance.

See more: google.cloud.aiplatform_v1beta1.types.QuestionAnsweringQualityInstance

google.cloud.aiplatform_v1beta1.types.QuestionAnsweringQualityResult

QuestionAnsweringQualityResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for question answering quality result.

See more: google.cloud.aiplatform_v1beta1.types.QuestionAnsweringQualityResult

google.cloud.aiplatform_v1beta1.types.QuestionAnsweringQualitySpec

QuestionAnsweringQualitySpec(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for question answering quality score metric.

See more: google.cloud.aiplatform_v1beta1.types.QuestionAnsweringQualitySpec

google.cloud.aiplatform_v1beta1.types.QuestionAnsweringRelevanceInput

QuestionAnsweringRelevanceInput(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Input for question answering relevance metric.

See more: google.cloud.aiplatform_v1beta1.types.QuestionAnsweringRelevanceInput

google.cloud.aiplatform_v1beta1.types.QuestionAnsweringRelevanceInstance

QuestionAnsweringRelevanceInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for question answering relevance instance.

See more: google.cloud.aiplatform_v1beta1.types.QuestionAnsweringRelevanceInstance

google.cloud.aiplatform_v1beta1.types.QuestionAnsweringRelevanceResult

QuestionAnsweringRelevanceResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for question answering relevance result.

See more: google.cloud.aiplatform_v1beta1.types.QuestionAnsweringRelevanceResult

google.cloud.aiplatform_v1beta1.types.QuestionAnsweringRelevanceSpec

QuestionAnsweringRelevanceSpec(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for question answering relevance metric.

See more: google.cloud.aiplatform_v1beta1.types.QuestionAnsweringRelevanceSpec

google.cloud.aiplatform_v1beta1.types.RagContexts

RagContexts(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Relevant contexts for one query.

See more: google.cloud.aiplatform_v1beta1.types.RagContexts

google.cloud.aiplatform_v1beta1.types.RagContexts.Context

Context(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A context of the query.

See more: google.cloud.aiplatform_v1beta1.types.RagContexts.Context

google.cloud.aiplatform_v1beta1.types.RagCorpus

RagCorpus(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A RagCorpus is a RagFile container and a project can have multiple RagCorpora.

See more: google.cloud.aiplatform_v1beta1.types.RagCorpus

google.cloud.aiplatform_v1beta1.types.RagFile

RagFile(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A RagFile contains user data for chunking, embedding and indexing.

See more: google.cloud.aiplatform_v1beta1.types.RagFile

google.cloud.aiplatform_v1beta1.types.RagFile.RagFileType

RagFileType(value)

The type of the RagFile.

See more: google.cloud.aiplatform_v1beta1.types.RagFile.RagFileType

google.cloud.aiplatform_v1beta1.types.RagFileChunkingConfig

RagFileChunkingConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Specifies the size and overlap of chunks for RagFiles.

See more: google.cloud.aiplatform_v1beta1.types.RagFileChunkingConfig

google.cloud.aiplatform_v1beta1.types.RagQuery

RagQuery(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A query to retrieve relevant contexts.

See more: google.cloud.aiplatform_v1beta1.types.RagQuery

google.cloud.aiplatform_v1beta1.types.RawPredictRequest

RawPredictRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PredictionService.RawPredict.

See more: google.cloud.aiplatform_v1beta1.types.RawPredictRequest

google.cloud.aiplatform_v1beta1.types.RayMetricSpec

RayMetricSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration for the Ray metrics.

See more: google.cloud.aiplatform_v1beta1.types.RayMetricSpec

google.cloud.aiplatform_v1beta1.types.RaySpec

RaySpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration information for the Ray cluster.

See more: google.cloud.aiplatform_v1beta1.types.RaySpec

google.cloud.aiplatform_v1beta1.types.RaySpec.ResourcePoolImagesEntry

ResourcePoolImagesEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.RaySpec.ResourcePoolImagesEntry

google.cloud.aiplatform_v1beta1.types.ReadFeatureValuesRequest

ReadFeatureValuesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreOnlineServingService.ReadFeatureValues.

See more: google.cloud.aiplatform_v1beta1.types.ReadFeatureValuesRequest

google.cloud.aiplatform_v1beta1.types.ReadFeatureValuesResponse

ReadFeatureValuesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeaturestoreOnlineServingService.ReadFeatureValues.

See more: google.cloud.aiplatform_v1beta1.types.ReadFeatureValuesResponse

google.cloud.aiplatform_v1beta1.types.ReadFeatureValuesResponse.EntityView

EntityView(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Entity view with Feature values.

See more: google.cloud.aiplatform_v1beta1.types.ReadFeatureValuesResponse.EntityView

google.cloud.aiplatform_v1beta1.types.ReadFeatureValuesResponse.EntityView.Data

Data(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Container to hold value(s), successive in time, for one Feature from the request.

See more: google.cloud.aiplatform_v1beta1.types.ReadFeatureValuesResponse.EntityView.Data

google.cloud.aiplatform_v1beta1.types.ReadFeatureValuesResponse.FeatureDescriptor

FeatureDescriptor(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Metadata for requested Features.

See more: google.cloud.aiplatform_v1beta1.types.ReadFeatureValuesResponse.FeatureDescriptor

google.cloud.aiplatform_v1beta1.types.ReadFeatureValuesResponse.Header

Header(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response header with metadata for the requested ReadFeatureValuesRequest.entity_type and Features.

See more: google.cloud.aiplatform_v1beta1.types.ReadFeatureValuesResponse.Header

google.cloud.aiplatform_v1beta1.types.ReadIndexDatapointsRequest

ReadIndexDatapointsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The request message for MatchService.ReadIndexDatapoints.

See more: google.cloud.aiplatform_v1beta1.types.ReadIndexDatapointsRequest

google.cloud.aiplatform_v1beta1.types.ReadIndexDatapointsResponse

ReadIndexDatapointsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The response message for MatchService.ReadIndexDatapoints.

See more: google.cloud.aiplatform_v1beta1.types.ReadIndexDatapointsResponse

google.cloud.aiplatform_v1beta1.types.ReadTensorboardBlobDataRequest

ReadTensorboardBlobDataRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.ReadTensorboardBlobData.

See more: google.cloud.aiplatform_v1beta1.types.ReadTensorboardBlobDataRequest

google.cloud.aiplatform_v1beta1.types.ReadTensorboardBlobDataResponse

ReadTensorboardBlobDataResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for TensorboardService.ReadTensorboardBlobData.

See more: google.cloud.aiplatform_v1beta1.types.ReadTensorboardBlobDataResponse

google.cloud.aiplatform_v1beta1.types.ReadTensorboardSizeRequest

ReadTensorboardSizeRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for TensorboardService.ReadTensorboardSize.

See more: google.cloud.aiplatform_v1beta1.types.ReadTensorboardSizeRequest

google.cloud.aiplatform_v1beta1.types.ReadTensorboardSizeResponse

ReadTensorboardSizeResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for TensorboardService.ReadTensorboardSize.

See more: google.cloud.aiplatform_v1beta1.types.ReadTensorboardSizeResponse

google.cloud.aiplatform_v1beta1.types.ReadTensorboardTimeSeriesDataRequest

ReadTensorboardTimeSeriesDataRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.ReadTensorboardTimeSeriesData.

See more: google.cloud.aiplatform_v1beta1.types.ReadTensorboardTimeSeriesDataRequest

google.cloud.aiplatform_v1beta1.types.ReadTensorboardTimeSeriesDataResponse

ReadTensorboardTimeSeriesDataResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for TensorboardService.ReadTensorboardTimeSeriesData.

See more: google.cloud.aiplatform_v1beta1.types.ReadTensorboardTimeSeriesDataResponse

google.cloud.aiplatform_v1beta1.types.ReadTensorboardUsageRequest

ReadTensorboardUsageRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for TensorboardService.ReadTensorboardUsage.

See more: google.cloud.aiplatform_v1beta1.types.ReadTensorboardUsageRequest

google.cloud.aiplatform_v1beta1.types.ReadTensorboardUsageResponse

ReadTensorboardUsageResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for TensorboardService.ReadTensorboardUsage.

See more: google.cloud.aiplatform_v1beta1.types.ReadTensorboardUsageResponse

google.cloud.aiplatform_v1beta1.types.ReadTensorboardUsageResponse.MonthlyUsageDataEntry

MonthlyUsageDataEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.ReadTensorboardUsageResponse.MonthlyUsageDataEntry

google.cloud.aiplatform_v1beta1.types.ReadTensorboardUsageResponse.PerMonthUsageData

PerMonthUsageData(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Per month usage data .

See more: google.cloud.aiplatform_v1beta1.types.ReadTensorboardUsageResponse.PerMonthUsageData

google.cloud.aiplatform_v1beta1.types.ReadTensorboardUsageResponse.PerUserUsageData

PerUserUsageData(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Per user usage data.

See more: google.cloud.aiplatform_v1beta1.types.ReadTensorboardUsageResponse.PerUserUsageData

google.cloud.aiplatform_v1beta1.types.ReasoningEngine

ReasoningEngine(mapping=None, *, ignore_unknown_fields=False, **kwargs)

ReasoningEngine provides a customizable runtime for models to determine which actions to take and in which order.

See more: google.cloud.aiplatform_v1beta1.types.ReasoningEngine

google.cloud.aiplatform_v1beta1.types.ReasoningEngineSpec

ReasoningEngineSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

ReasoningEngine configurations .

See more: google.cloud.aiplatform_v1beta1.types.ReasoningEngineSpec

google.cloud.aiplatform_v1beta1.types.ReasoningEngineSpec.PackageSpec

PackageSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

User provided package spec like pickled object and package requirements.

See more: google.cloud.aiplatform_v1beta1.types.ReasoningEngineSpec.PackageSpec

google.cloud.aiplatform_v1beta1.types.RebootPersistentResourceOperationMetadata

RebootPersistentResourceOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform reboot PersistentResource.

See more: google.cloud.aiplatform_v1beta1.types.RebootPersistentResourceOperationMetadata

google.cloud.aiplatform_v1beta1.types.RebootPersistentResourceRequest

RebootPersistentResourceRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for PersistentResourceService.RebootPersistentResource.

See more: google.cloud.aiplatform_v1beta1.types.RebootPersistentResourceRequest

google.cloud.aiplatform_v1beta1.types.RemoveContextChildrenRequest

RemoveContextChildrenRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for [MetadataService.DeleteContextChildrenRequest][].

See more: google.cloud.aiplatform_v1beta1.types.RemoveContextChildrenRequest

google.cloud.aiplatform_v1beta1.types.RemoveContextChildrenResponse

RemoveContextChildrenResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for MetadataService.RemoveContextChildren.

See more: google.cloud.aiplatform_v1beta1.types.RemoveContextChildrenResponse

google.cloud.aiplatform_v1beta1.types.RemoveDatapointsRequest

RemoveDatapointsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexService.RemoveDatapoints .

See more: google.cloud.aiplatform_v1beta1.types.RemoveDatapointsRequest

google.cloud.aiplatform_v1beta1.types.RemoveDatapointsResponse

RemoveDatapointsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for IndexService.RemoveDatapoints .

See more: google.cloud.aiplatform_v1beta1.types.RemoveDatapointsResponse

google.cloud.aiplatform_v1beta1.types.ResourcePool

ResourcePool(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents the spec of a group of resources of the same type, for example machine type, disk, and accelerators, in a PersistentResource.

See more: google.cloud.aiplatform_v1beta1.types.ResourcePool

google.cloud.aiplatform_v1beta1.types.ResourcePool.AutoscalingSpec

AutoscalingSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The min/max number of replicas allowed if enabling autoscaling.

See more: google.cloud.aiplatform_v1beta1.types.ResourcePool.AutoscalingSpec

google.cloud.aiplatform_v1beta1.types.ResourceRuntime

ResourceRuntime(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Persistent Cluster runtime information as output .

See more: google.cloud.aiplatform_v1beta1.types.ResourceRuntime

google.cloud.aiplatform_v1beta1.types.ResourceRuntime.AccessUrisEntry

AccessUrisEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.ResourceRuntime.AccessUrisEntry

google.cloud.aiplatform_v1beta1.types.ResourceRuntimeSpec

ResourceRuntimeSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration for the runtime on a PersistentResource instance, including but not limited to:.

See more: google.cloud.aiplatform_v1beta1.types.ResourceRuntimeSpec

google.cloud.aiplatform_v1beta1.types.ResourcesConsumed

ResourcesConsumed(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Statistics information about resource consumption.

See more: google.cloud.aiplatform_v1beta1.types.ResourcesConsumed

google.cloud.aiplatform_v1beta1.types.RestoreDatasetVersionOperationMetadata

RestoreDatasetVersionOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for DatasetService.RestoreDatasetVersion.

See more: google.cloud.aiplatform_v1beta1.types.RestoreDatasetVersionOperationMetadata

google.cloud.aiplatform_v1beta1.types.RestoreDatasetVersionRequest

RestoreDatasetVersionRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for DatasetService.RestoreDatasetVersion.

See more: google.cloud.aiplatform_v1beta1.types.RestoreDatasetVersionRequest

google.cloud.aiplatform_v1beta1.types.ResumeModelDeploymentMonitoringJobRequest

ResumeModelDeploymentMonitoringJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.ResumeModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1beta1.types.ResumeModelDeploymentMonitoringJobRequest

google.cloud.aiplatform_v1beta1.types.ResumeScheduleRequest

ResumeScheduleRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ScheduleService.ResumeSchedule.

See more: google.cloud.aiplatform_v1beta1.types.ResumeScheduleRequest

google.cloud.aiplatform_v1beta1.types.Retrieval

Retrieval(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Defines a retrieval tool that model can call to access external knowledge.

See more: google.cloud.aiplatform_v1beta1.types.Retrieval

google.cloud.aiplatform_v1beta1.types.RetrieveContextsRequest

RetrieveContextsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VertexRagService.RetrieveContexts.

See more: google.cloud.aiplatform_v1beta1.types.RetrieveContextsRequest

google.cloud.aiplatform_v1beta1.types.RetrieveContextsRequest.VertexRagStore

VertexRagStore(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The data source for Vertex RagStore.

See more: google.cloud.aiplatform_v1beta1.types.RetrieveContextsRequest.VertexRagStore

google.cloud.aiplatform_v1beta1.types.RetrieveContextsResponse

RetrieveContextsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for VertexRagService.RetrieveContexts.

See more: google.cloud.aiplatform_v1beta1.types.RetrieveContextsResponse

google.cloud.aiplatform_v1beta1.types.RougeInput

RougeInput(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Input for rouge metric.

See more: google.cloud.aiplatform_v1beta1.types.RougeInput

google.cloud.aiplatform_v1beta1.types.RougeInstance

RougeInstance(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for rouge instance.

See more: google.cloud.aiplatform_v1beta1.types.RougeInstance

google.cloud.aiplatform_v1beta1.types.RougeMetricValue

RougeMetricValue(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Rouge metric value for an instance.

See more: google.cloud.aiplatform_v1beta1.types.RougeMetricValue

google.cloud.aiplatform_v1beta1.types.RougeResults

RougeResults(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Results for rouge metric.

See more: google.cloud.aiplatform_v1beta1.types.RougeResults

google.cloud.aiplatform_v1beta1.types.RougeSpec

RougeSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1.

See more: google.cloud.aiplatform_v1beta1.types.RougeSpec

google.cloud.aiplatform_v1beta1.types.RuntimeConfig

RuntimeConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Runtime configuration to run the extension.

See more: google.cloud.aiplatform_v1beta1.types.RuntimeConfig

google.cloud.aiplatform_v1beta1.types.RuntimeConfig.CodeInterpreterRuntimeConfig

CodeInterpreterRuntimeConfig(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

See more: google.cloud.aiplatform_v1beta1.types.RuntimeConfig.CodeInterpreterRuntimeConfig

google.cloud.aiplatform_v1beta1.types.RuntimeConfig.VertexAISearchRuntimeConfig

VertexAISearchRuntimeConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

See more: google.cloud.aiplatform_v1beta1.types.RuntimeConfig.VertexAISearchRuntimeConfig

google.cloud.aiplatform_v1beta1.types.SafetyInput

SafetyInput(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Input for safety metric.

See more: google.cloud.aiplatform_v1beta1.types.SafetyInput

google.cloud.aiplatform_v1beta1.types.SafetyInstance

SafetyInstance(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for safety instance.

See more: google.cloud.aiplatform_v1beta1.types.SafetyInstance

google.cloud.aiplatform_v1beta1.types.SafetyRating

SafetyRating(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Safety rating corresponding to the generated content.

See more: google.cloud.aiplatform_v1beta1.types.SafetyRating

google.cloud.aiplatform_v1beta1.types.SafetyRating.HarmProbability

HarmProbability(value)

Harm probability levels in the content.

See more: google.cloud.aiplatform_v1beta1.types.SafetyRating.HarmProbability

google.cloud.aiplatform_v1beta1.types.SafetyRating.HarmSeverity

HarmSeverity(value)

Harm severity levels.

See more: google.cloud.aiplatform_v1beta1.types.SafetyRating.HarmSeverity

google.cloud.aiplatform_v1beta1.types.SafetyResult

SafetyResult(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for safety result.

See more: google.cloud.aiplatform_v1beta1.types.SafetyResult

google.cloud.aiplatform_v1beta1.types.SafetySetting

SafetySetting(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Safety settings.

See more: google.cloud.aiplatform_v1beta1.types.SafetySetting

google.cloud.aiplatform_v1beta1.types.SafetySetting.HarmBlockMethod

HarmBlockMethod(value)

Probability vs severity.

See more: google.cloud.aiplatform_v1beta1.types.SafetySetting.HarmBlockMethod

google.cloud.aiplatform_v1beta1.types.SafetySetting.HarmBlockThreshold

HarmBlockThreshold(value)

Probability based thresholds levels for blocking.

See more: google.cloud.aiplatform_v1beta1.types.SafetySetting.HarmBlockThreshold

google.cloud.aiplatform_v1beta1.types.SafetySpec

SafetySpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for safety metric.

See more: google.cloud.aiplatform_v1beta1.types.SafetySpec

google.cloud.aiplatform_v1beta1.types.SampleConfig

SampleConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Active learning data sampling config.

See more: google.cloud.aiplatform_v1beta1.types.SampleConfig

google.cloud.aiplatform_v1beta1.types.SampleConfig.SampleStrategy

SampleStrategy(value)

Sample strategy decides which subset of DataItems should be selected for human labeling in every batch.

See more: google.cloud.aiplatform_v1beta1.types.SampleConfig.SampleStrategy

google.cloud.aiplatform_v1beta1.types.SampledShapleyAttribution

SampledShapleyAttribution(mapping=None, *, ignore_unknown_fields=False, **kwargs)

An attribution method that approximates Shapley values for features that contribute to the label being predicted.

See more: google.cloud.aiplatform_v1beta1.types.SampledShapleyAttribution

google.cloud.aiplatform_v1beta1.types.SamplingStrategy

SamplingStrategy(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Sampling Strategy for logging, can be for both training and prediction dataset.

See more: google.cloud.aiplatform_v1beta1.types.SamplingStrategy

google.cloud.aiplatform_v1beta1.types.SamplingStrategy.RandomSampleConfig

RandomSampleConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Requests are randomly selected.

See more: google.cloud.aiplatform_v1beta1.types.SamplingStrategy.RandomSampleConfig

google.cloud.aiplatform_v1beta1.types.SavedQuery

SavedQuery(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A SavedQuery is a view of the dataset.

See more: google.cloud.aiplatform_v1beta1.types.SavedQuery

google.cloud.aiplatform_v1beta1.types.Scalar

Scalar(mapping=None, *, ignore_unknown_fields=False, **kwargs)

One point viewable on a scalar metric plot.

See more: google.cloud.aiplatform_v1beta1.types.Scalar

google.cloud.aiplatform_v1beta1.types.Schedule

Schedule(mapping=None, *, ignore_unknown_fields=False, **kwargs)

An instance of a Schedule periodically schedules runs to make API calls based on user specified time specification and API request type.

See more: google.cloud.aiplatform_v1beta1.types.Schedule

google.cloud.aiplatform_v1beta1.types.Schedule.RunResponse

RunResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Status of a scheduled run.

See more: google.cloud.aiplatform_v1beta1.types.Schedule.RunResponse

google.cloud.aiplatform_v1beta1.types.Schedule.State

State(value)

Possible state of the schedule.

See more: google.cloud.aiplatform_v1beta1.types.Schedule.State

google.cloud.aiplatform_v1beta1.types.Scheduling

Scheduling(mapping=None, *, ignore_unknown_fields=False, **kwargs)

All parameters related to queuing and scheduling of custom jobs.

See more: google.cloud.aiplatform_v1beta1.types.Scheduling

google.cloud.aiplatform_v1beta1.types.Schema

Schema(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Schema is used to define the format of input/output data.

See more: google.cloud.aiplatform_v1beta1.types.Schema

google.cloud.aiplatform_v1beta1.types.Schema.PropertiesEntry

PropertiesEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.Schema.PropertiesEntry

google.cloud.aiplatform_v1beta1.types.SearchDataItemsRequest

SearchDataItemsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.SearchDataItems.

See more: google.cloud.aiplatform_v1beta1.types.SearchDataItemsRequest

google.cloud.aiplatform_v1beta1.types.SearchDataItemsRequest.OrderByAnnotation

OrderByAnnotation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Expression that allows ranking results based on annotation's property.

See more: google.cloud.aiplatform_v1beta1.types.SearchDataItemsRequest.OrderByAnnotation

google.cloud.aiplatform_v1beta1.types.SearchDataItemsResponse

SearchDataItemsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for DatasetService.SearchDataItems.

See more: google.cloud.aiplatform_v1beta1.types.SearchDataItemsResponse

google.cloud.aiplatform_v1beta1.types.SearchFeaturesRequest

SearchFeaturesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.SearchFeatures.

See more: google.cloud.aiplatform_v1beta1.types.SearchFeaturesRequest

google.cloud.aiplatform_v1beta1.types.SearchFeaturesResponse

SearchFeaturesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeaturestoreService.SearchFeatures.

See more: google.cloud.aiplatform_v1beta1.types.SearchFeaturesResponse

google.cloud.aiplatform_v1beta1.types.SearchMigratableResourcesRequest

SearchMigratableResourcesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for MigrationService.SearchMigratableResources.

See more: google.cloud.aiplatform_v1beta1.types.SearchMigratableResourcesRequest

google.cloud.aiplatform_v1beta1.types.SearchMigratableResourcesResponse

SearchMigratableResourcesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for MigrationService.SearchMigratableResources.

See more: google.cloud.aiplatform_v1beta1.types.SearchMigratableResourcesResponse

google.cloud.aiplatform_v1beta1.types.SearchModelDeploymentMonitoringStatsAnomaliesRequest

SearchModelDeploymentMonitoringStatsAnomaliesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.SearchModelDeploymentMonitoringStatsAnomalies.

See more: google.cloud.aiplatform_v1beta1.types.SearchModelDeploymentMonitoringStatsAnomaliesRequest

google.cloud.aiplatform_v1beta1.types.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective

StatsAnomaliesObjective(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Stats requested for specific objective.

See more: google.cloud.aiplatform_v1beta1.types.SearchModelDeploymentMonitoringStatsAnomaliesRequest.StatsAnomaliesObjective

google.cloud.aiplatform_v1beta1.types.SearchModelDeploymentMonitoringStatsAnomaliesResponse

SearchModelDeploymentMonitoringStatsAnomaliesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for JobService.SearchModelDeploymentMonitoringStatsAnomalies.

See more: google.cloud.aiplatform_v1beta1.types.SearchModelDeploymentMonitoringStatsAnomaliesResponse

google.cloud.aiplatform_v1beta1.types.SearchNearestEntitiesRequest

SearchNearestEntitiesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The request message for FeatureOnlineStoreService.SearchNearestEntities.

See more: google.cloud.aiplatform_v1beta1.types.SearchNearestEntitiesRequest

google.cloud.aiplatform_v1beta1.types.SearchNearestEntitiesResponse

SearchNearestEntitiesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for FeatureOnlineStoreService.SearchNearestEntities .

See more: google.cloud.aiplatform_v1beta1.types.SearchNearestEntitiesResponse

google.cloud.aiplatform_v1beta1.types.Segment

Segment(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Segment of the content.

See more: google.cloud.aiplatform_v1beta1.types.Segment

google.cloud.aiplatform_v1beta1.types.ServiceAccountSpec

ServiceAccountSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration for the use of custom service account to run the workloads.

See more: google.cloud.aiplatform_v1beta1.types.ServiceAccountSpec

google.cloud.aiplatform_v1beta1.types.ShieldedVmConfig

ShieldedVmConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A set of Shielded Instance options.

See more: google.cloud.aiplatform_v1beta1.types.ShieldedVmConfig

google.cloud.aiplatform_v1beta1.types.SmoothGradConfig

SmoothGradConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Config for SmoothGrad approximation of gradients.

See more: google.cloud.aiplatform_v1beta1.types.SmoothGradConfig

google.cloud.aiplatform_v1beta1.types.SpecialistPool

SpecialistPool(mapping=None, *, ignore_unknown_fields=False, **kwargs)

SpecialistPool represents customers' own workforce to work on their data labeling jobs.

See more: google.cloud.aiplatform_v1beta1.types.SpecialistPool

google.cloud.aiplatform_v1beta1.types.StartNotebookRuntimeOperationMetadata

StartNotebookRuntimeOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Metadata information for NotebookService.StartNotebookRuntime.

See more: google.cloud.aiplatform_v1beta1.types.StartNotebookRuntimeOperationMetadata

google.cloud.aiplatform_v1beta1.types.StartNotebookRuntimeRequest

StartNotebookRuntimeRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for NotebookService.StartNotebookRuntime.

See more: google.cloud.aiplatform_v1beta1.types.StartNotebookRuntimeRequest

google.cloud.aiplatform_v1beta1.types.StartNotebookRuntimeResponse

StartNotebookRuntimeResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for NotebookService.StartNotebookRuntime.

See more: google.cloud.aiplatform_v1beta1.types.StartNotebookRuntimeResponse

google.cloud.aiplatform_v1beta1.types.StopTrialRequest

StopTrialRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.StopTrial.

See more: google.cloud.aiplatform_v1beta1.types.StopTrialRequest

google.cloud.aiplatform_v1beta1.types.StratifiedSplit

StratifiedSplit(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Assigns input data to the training, validation, and test sets so that the distribution of values found in the categorical column (as specified by the key field) is mirrored within each split.

See more: google.cloud.aiplatform_v1beta1.types.StratifiedSplit

google.cloud.aiplatform_v1beta1.types.StreamDirectPredictRequest

StreamDirectPredictRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PredictionService.StreamDirectPredict.

See more: google.cloud.aiplatform_v1beta1.types.StreamDirectPredictRequest

google.cloud.aiplatform_v1beta1.types.StreamDirectPredictResponse

StreamDirectPredictResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for PredictionService.StreamDirectPredict.

See more: google.cloud.aiplatform_v1beta1.types.StreamDirectPredictResponse

google.cloud.aiplatform_v1beta1.types.StreamDirectRawPredictRequest

StreamDirectRawPredictRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for PredictionService.StreamDirectRawPredict.

See more: google.cloud.aiplatform_v1beta1.types.StreamDirectRawPredictRequest

google.cloud.aiplatform_v1beta1.types.StreamDirectRawPredictResponse

StreamDirectRawPredictResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for PredictionService.StreamDirectRawPredict.

See more: google.cloud.aiplatform_v1beta1.types.StreamDirectRawPredictResponse

google.cloud.aiplatform_v1beta1.types.StreamingFetchFeatureValuesRequest

StreamingFetchFeatureValuesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for FeatureOnlineStoreService.StreamingFetchFeatureValues.

See more: google.cloud.aiplatform_v1beta1.types.StreamingFetchFeatureValuesRequest

google.cloud.aiplatform_v1beta1.types.StreamingFetchFeatureValuesResponse

StreamingFetchFeatureValuesResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for FeatureOnlineStoreService.StreamingFetchFeatureValues.

See more: google.cloud.aiplatform_v1beta1.types.StreamingFetchFeatureValuesResponse

google.cloud.aiplatform_v1beta1.types.StreamingPredictRequest

StreamingPredictRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PredictionService.StreamingPredict.

See more: google.cloud.aiplatform_v1beta1.types.StreamingPredictRequest

google.cloud.aiplatform_v1beta1.types.StreamingPredictResponse

StreamingPredictResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for PredictionService.StreamingPredict.

See more: google.cloud.aiplatform_v1beta1.types.StreamingPredictResponse

google.cloud.aiplatform_v1beta1.types.StreamingRawPredictRequest

StreamingRawPredictRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PredictionService.StreamingRawPredict.

See more: google.cloud.aiplatform_v1beta1.types.StreamingRawPredictRequest

google.cloud.aiplatform_v1beta1.types.StreamingRawPredictResponse

StreamingRawPredictResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for PredictionService.StreamingRawPredict.

See more: google.cloud.aiplatform_v1beta1.types.StreamingRawPredictResponse

google.cloud.aiplatform_v1beta1.types.StreamingReadFeatureValuesRequest

StreamingReadFeatureValuesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for [FeaturestoreOnlineServingService.StreamingFeatureValuesRead][].

See more: google.cloud.aiplatform_v1beta1.types.StreamingReadFeatureValuesRequest

google.cloud.aiplatform_v1beta1.types.StringArray

StringArray(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A list of string values.

See more: google.cloud.aiplatform_v1beta1.types.StringArray

google.cloud.aiplatform_v1beta1.types.Study

Study(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A message representing a Study.

See more: google.cloud.aiplatform_v1beta1.types.Study

google.cloud.aiplatform_v1beta1.types.Study.State

State(value)

Describes the Study state.

See more: google.cloud.aiplatform_v1beta1.types.Study.State

google.cloud.aiplatform_v1beta1.types.StudySpec

StudySpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents specification of a Study.

See more: google.cloud.aiplatform_v1beta1.types.StudySpec

google.cloud.aiplatform_v1beta1.types.StudySpec.Algorithm

Algorithm(value)

The available search algorithms for the Study.

See more: google.cloud.aiplatform_v1beta1.types.StudySpec.Algorithm

google.cloud.aiplatform_v1beta1.types.StudySpec.ConvexAutomatedStoppingSpec

ConvexAutomatedStoppingSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration for ConvexAutomatedStoppingSpec.

See more: google.cloud.aiplatform_v1beta1.types.StudySpec.ConvexAutomatedStoppingSpec

google.cloud.aiplatform_v1beta1.types.StudySpec.ConvexStopConfig

ConvexStopConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Configuration for ConvexStopPolicy.

See more: google.cloud.aiplatform_v1beta1.types.StudySpec.ConvexStopConfig

google.cloud.aiplatform_v1beta1.types.StudySpec.DecayCurveAutomatedStoppingSpec

DecayCurveAutomatedStoppingSpec(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

The decay curve automated stopping rule builds a Gaussian Process Regressor to predict the final objective value of a Trial based on the already completed Trials and the intermediate measurements of the current Trial.

See more: google.cloud.aiplatform_v1beta1.types.StudySpec.DecayCurveAutomatedStoppingSpec

google.cloud.aiplatform_v1beta1.types.StudySpec.MeasurementSelectionType

MeasurementSelectionType(value)

This indicates which measurement to use if/when the service automatically selects the final measurement from previously reported intermediate measurements.

See more: google.cloud.aiplatform_v1beta1.types.StudySpec.MeasurementSelectionType

google.cloud.aiplatform_v1beta1.types.StudySpec.MedianAutomatedStoppingSpec

MedianAutomatedStoppingSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The median automated stopping rule stops a pending Trial if the Trial's best objective_value is strictly below the median 'performance' of all completed Trials reported up to the Trial's last measurement.

See more: google.cloud.aiplatform_v1beta1.types.StudySpec.MedianAutomatedStoppingSpec

google.cloud.aiplatform_v1beta1.types.StudySpec.MetricSpec

MetricSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a metric to optimize.

See more: google.cloud.aiplatform_v1beta1.types.StudySpec.MetricSpec

google.cloud.aiplatform_v1beta1.types.StudySpec.MetricSpec.GoalType

GoalType(value)

The available types of optimization goals.

See more: google.cloud.aiplatform_v1beta1.types.StudySpec.MetricSpec.GoalType

google.cloud.aiplatform_v1beta1.types.StudySpec.MetricSpec.SafetyMetricConfig

SafetyMetricConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Used in safe optimization to specify threshold levels and risk tolerance.

See more: google.cloud.aiplatform_v1beta1.types.StudySpec.MetricSpec.SafetyMetricConfig

google.cloud.aiplatform_v1beta1.types.StudySpec.ObservationNoise

ObservationNoise(value)

Describes the noise level of the repeated observations.

See more: google.cloud.aiplatform_v1beta1.types.StudySpec.ObservationNoise

google.cloud.aiplatform_v1beta1.types.StudySpec.ParameterSpec

ParameterSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a single parameter to optimize.

See more: google.cloud.aiplatform_v1beta1.types.StudySpec.ParameterSpec

google.cloud.aiplatform_v1beta1.types.StudySpec.ParameterSpec.CategoricalValueSpec

CategoricalValueSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Value specification for a parameter in CATEGORICAL type.

See more: google.cloud.aiplatform_v1beta1.types.StudySpec.ParameterSpec.CategoricalValueSpec

google.cloud.aiplatform_v1beta1.types.StudySpec.ParameterSpec.ConditionalParameterSpec

ConditionalParameterSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents a parameter spec with condition from its parent parameter.

See more: google.cloud.aiplatform_v1beta1.types.StudySpec.ParameterSpec.ConditionalParameterSpec

google.cloud.aiplatform_v1beta1.types.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition

CategoricalValueCondition(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents the spec to match categorical values from parent parameter.

See more: google.cloud.aiplatform_v1beta1.types.StudySpec.ParameterSpec.ConditionalParameterSpec.CategoricalValueCondition

google.cloud.aiplatform_v1beta1.types.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition

DiscreteValueCondition(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents the spec to match discrete values from parent parameter.

See more: google.cloud.aiplatform_v1beta1.types.StudySpec.ParameterSpec.ConditionalParameterSpec.DiscreteValueCondition

google.cloud.aiplatform_v1beta1.types.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition

IntValueCondition(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents the spec to match integer values from parent parameter.

See more: google.cloud.aiplatform_v1beta1.types.StudySpec.ParameterSpec.ConditionalParameterSpec.IntValueCondition

google.cloud.aiplatform_v1beta1.types.StudySpec.ParameterSpec.DiscreteValueSpec

DiscreteValueSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Value specification for a parameter in DISCRETE type.

See more: google.cloud.aiplatform_v1beta1.types.StudySpec.ParameterSpec.DiscreteValueSpec

google.cloud.aiplatform_v1beta1.types.StudySpec.ParameterSpec.DoubleValueSpec

DoubleValueSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Value specification for a parameter in DOUBLE type.

See more: google.cloud.aiplatform_v1beta1.types.StudySpec.ParameterSpec.DoubleValueSpec

google.cloud.aiplatform_v1beta1.types.StudySpec.ParameterSpec.IntegerValueSpec

IntegerValueSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Value specification for a parameter in INTEGER type.

See more: google.cloud.aiplatform_v1beta1.types.StudySpec.ParameterSpec.IntegerValueSpec

google.cloud.aiplatform_v1beta1.types.StudySpec.ParameterSpec.ScaleType

ScaleType(value)

The type of scaling that should be applied to this parameter.

See more: google.cloud.aiplatform_v1beta1.types.StudySpec.ParameterSpec.ScaleType

google.cloud.aiplatform_v1beta1.types.StudySpec.StudyStoppingConfig

StudyStoppingConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The configuration (stopping conditions) for automated stopping of a Study.

See more: google.cloud.aiplatform_v1beta1.types.StudySpec.StudyStoppingConfig

google.cloud.aiplatform_v1beta1.types.StudySpec.TransferLearningConfig

TransferLearningConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

This contains flag for manually disabling transfer learning for a study.

See more: google.cloud.aiplatform_v1beta1.types.StudySpec.TransferLearningConfig

google.cloud.aiplatform_v1beta1.types.StudyTimeConstraint

StudyTimeConstraint(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Time-based Constraint for Study.

See more: google.cloud.aiplatform_v1beta1.types.StudyTimeConstraint

google.cloud.aiplatform_v1beta1.types.SuggestTrialsMetadata

SuggestTrialsMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Details of operations that perform Trials suggestion.

See more: google.cloud.aiplatform_v1beta1.types.SuggestTrialsMetadata

google.cloud.aiplatform_v1beta1.types.SuggestTrialsRequest

SuggestTrialsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VizierService.SuggestTrials.

See more: google.cloud.aiplatform_v1beta1.types.SuggestTrialsRequest

google.cloud.aiplatform_v1beta1.types.SuggestTrialsResponse

SuggestTrialsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for VizierService.SuggestTrials.

See more: google.cloud.aiplatform_v1beta1.types.SuggestTrialsResponse

google.cloud.aiplatform_v1beta1.types.SummarizationHelpfulnessInput

SummarizationHelpfulnessInput(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Input for summarization helpfulness metric.

See more: google.cloud.aiplatform_v1beta1.types.SummarizationHelpfulnessInput

google.cloud.aiplatform_v1beta1.types.SummarizationHelpfulnessInstance

SummarizationHelpfulnessInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for summarization helpfulness instance.

See more: google.cloud.aiplatform_v1beta1.types.SummarizationHelpfulnessInstance

google.cloud.aiplatform_v1beta1.types.SummarizationHelpfulnessResult

SummarizationHelpfulnessResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for summarization helpfulness result.

See more: google.cloud.aiplatform_v1beta1.types.SummarizationHelpfulnessResult

google.cloud.aiplatform_v1beta1.types.SummarizationHelpfulnessSpec

SummarizationHelpfulnessSpec(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for summarization helpfulness score metric.

See more: google.cloud.aiplatform_v1beta1.types.SummarizationHelpfulnessSpec

google.cloud.aiplatform_v1beta1.types.SummarizationQualityInput

SummarizationQualityInput(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Input for summarization quality metric.

See more: google.cloud.aiplatform_v1beta1.types.SummarizationQualityInput

google.cloud.aiplatform_v1beta1.types.SummarizationQualityInstance

SummarizationQualityInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for summarization quality instance.

See more: google.cloud.aiplatform_v1beta1.types.SummarizationQualityInstance

google.cloud.aiplatform_v1beta1.types.SummarizationQualityResult

SummarizationQualityResult(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for summarization quality result.

See more: google.cloud.aiplatform_v1beta1.types.SummarizationQualityResult

google.cloud.aiplatform_v1beta1.types.SummarizationQualitySpec

SummarizationQualitySpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for summarization quality score metric.

See more: google.cloud.aiplatform_v1beta1.types.SummarizationQualitySpec

google.cloud.aiplatform_v1beta1.types.SummarizationVerbosityInput

SummarizationVerbosityInput(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Input for summarization verbosity metric.

See more: google.cloud.aiplatform_v1beta1.types.SummarizationVerbosityInput

google.cloud.aiplatform_v1beta1.types.SummarizationVerbosityInstance

SummarizationVerbosityInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for summarization verbosity instance.

See more: google.cloud.aiplatform_v1beta1.types.SummarizationVerbosityInstance

google.cloud.aiplatform_v1beta1.types.SummarizationVerbosityResult

SummarizationVerbosityResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for summarization verbosity result.

See more: google.cloud.aiplatform_v1beta1.types.SummarizationVerbosityResult

google.cloud.aiplatform_v1beta1.types.SummarizationVerbositySpec

SummarizationVerbositySpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for summarization verbosity score metric.

See more: google.cloud.aiplatform_v1beta1.types.SummarizationVerbositySpec

google.cloud.aiplatform_v1beta1.types.SyncFeatureViewRequest

SyncFeatureViewRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureOnlineStoreAdminService.SyncFeatureView.

See more: google.cloud.aiplatform_v1beta1.types.SyncFeatureViewRequest

google.cloud.aiplatform_v1beta1.types.SyncFeatureViewResponse

SyncFeatureViewResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Respose message for FeatureOnlineStoreAdminService.SyncFeatureView.

See more: google.cloud.aiplatform_v1beta1.types.SyncFeatureViewResponse

google.cloud.aiplatform_v1beta1.types.TFRecordDestination

TFRecordDestination(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The storage details for TFRecord output content.

See more: google.cloud.aiplatform_v1beta1.types.TFRecordDestination

google.cloud.aiplatform_v1beta1.types.Tensor

Tensor(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A tensor value type.

See more: google.cloud.aiplatform_v1beta1.types.Tensor

google.cloud.aiplatform_v1beta1.types.Tensor.DataType

DataType(value)

Data type of the tensor.

See more: google.cloud.aiplatform_v1beta1.types.Tensor.DataType

google.cloud.aiplatform_v1beta1.types.Tensor.StructValEntry

StructValEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.Tensor.StructValEntry

google.cloud.aiplatform_v1beta1.types.Tensorboard

Tensorboard(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Tensorboard is a physical database that stores users' training metrics.

See more: google.cloud.aiplatform_v1beta1.types.Tensorboard

google.cloud.aiplatform_v1beta1.types.Tensorboard.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.Tensorboard.LabelsEntry

google.cloud.aiplatform_v1beta1.types.TensorboardBlob

TensorboardBlob(mapping=None, *, ignore_unknown_fields=False, **kwargs)

One blob (e.g, image, graph) viewable on a blob metric plot.

See more: google.cloud.aiplatform_v1beta1.types.TensorboardBlob

google.cloud.aiplatform_v1beta1.types.TensorboardBlobSequence

TensorboardBlobSequence(mapping=None, *, ignore_unknown_fields=False, **kwargs)

One point viewable on a blob metric plot, but mostly just a wrapper message to work around repeated fields can't be used directly within oneof fields.

See more: google.cloud.aiplatform_v1beta1.types.TensorboardBlobSequence

google.cloud.aiplatform_v1beta1.types.TensorboardExperiment

TensorboardExperiment(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A TensorboardExperiment is a group of TensorboardRuns, that are typically the results of a training job run, in a Tensorboard.

See more: google.cloud.aiplatform_v1beta1.types.TensorboardExperiment

google.cloud.aiplatform_v1beta1.types.TensorboardExperiment.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.TensorboardExperiment.LabelsEntry

google.cloud.aiplatform_v1beta1.types.TensorboardRun

TensorboardRun(mapping=None, *, ignore_unknown_fields=False, **kwargs)

TensorboardRun maps to a specific execution of a training job with a given set of hyperparameter values, model definition, dataset, etc .

See more: google.cloud.aiplatform_v1beta1.types.TensorboardRun

google.cloud.aiplatform_v1beta1.types.TensorboardRun.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.TensorboardRun.LabelsEntry

google.cloud.aiplatform_v1beta1.types.TensorboardTensor

TensorboardTensor(mapping=None, *, ignore_unknown_fields=False, **kwargs)

One point viewable on a tensor metric plot.

See more: google.cloud.aiplatform_v1beta1.types.TensorboardTensor

google.cloud.aiplatform_v1beta1.types.TensorboardTimeSeries

TensorboardTimeSeries(mapping=None, *, ignore_unknown_fields=False, **kwargs)

TensorboardTimeSeries maps to times series produced in training runs .

See more: google.cloud.aiplatform_v1beta1.types.TensorboardTimeSeries

google.cloud.aiplatform_v1beta1.types.TensorboardTimeSeries.Metadata

Metadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Describes metadata for a TensorboardTimeSeries.

See more: google.cloud.aiplatform_v1beta1.types.TensorboardTimeSeries.Metadata

google.cloud.aiplatform_v1beta1.types.TensorboardTimeSeries.ValueType

ValueType(value)

An enum representing the value type of a TensorboardTimeSeries.

See more: google.cloud.aiplatform_v1beta1.types.TensorboardTimeSeries.ValueType

google.cloud.aiplatform_v1beta1.types.ThresholdConfig

ThresholdConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The config for feature monitoring threshold.

See more: google.cloud.aiplatform_v1beta1.types.ThresholdConfig

google.cloud.aiplatform_v1beta1.types.TimeSeriesData

TimeSeriesData(mapping=None, *, ignore_unknown_fields=False, **kwargs)

All the data stored in a TensorboardTimeSeries.

See more: google.cloud.aiplatform_v1beta1.types.TimeSeriesData

google.cloud.aiplatform_v1beta1.types.TimeSeriesDataPoint

TimeSeriesDataPoint(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A TensorboardTimeSeries data point.

See more: google.cloud.aiplatform_v1beta1.types.TimeSeriesDataPoint

google.cloud.aiplatform_v1beta1.types.TimestampSplit

TimestampSplit(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Assigns input data to training, validation, and test sets based on a provided timestamps.

See more: google.cloud.aiplatform_v1beta1.types.TimestampSplit

google.cloud.aiplatform_v1beta1.types.TokensInfo

TokensInfo(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Tokens info with a list of tokens and the corresponding list of token ids.

See more: google.cloud.aiplatform_v1beta1.types.TokensInfo

google.cloud.aiplatform_v1beta1.types.Tool

Tool(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Tool details that the model may use to generate response.

See more: google.cloud.aiplatform_v1beta1.types.Tool

google.cloud.aiplatform_v1beta1.types.ToolCallValidInput

ToolCallValidInput(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Input for tool call valid metric.

See more: google.cloud.aiplatform_v1beta1.types.ToolCallValidInput

google.cloud.aiplatform_v1beta1.types.ToolCallValidInstance

ToolCallValidInstance(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for tool call valid instance.

See more: google.cloud.aiplatform_v1beta1.types.ToolCallValidInstance

google.cloud.aiplatform_v1beta1.types.ToolCallValidMetricValue

ToolCallValidMetricValue(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Tool call valid metric value for an instance.

See more: google.cloud.aiplatform_v1beta1.types.ToolCallValidMetricValue

google.cloud.aiplatform_v1beta1.types.ToolCallValidResults

ToolCallValidResults(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Results for tool call valid metric.

See more: google.cloud.aiplatform_v1beta1.types.ToolCallValidResults

google.cloud.aiplatform_v1beta1.types.ToolCallValidSpec

ToolCallValidSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for tool call valid metric.

See more: google.cloud.aiplatform_v1beta1.types.ToolCallValidSpec

google.cloud.aiplatform_v1beta1.types.ToolConfig

ToolConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Tool config.

See more: google.cloud.aiplatform_v1beta1.types.ToolConfig

google.cloud.aiplatform_v1beta1.types.ToolNameMatchInput

ToolNameMatchInput(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Input for tool name match metric.

See more: google.cloud.aiplatform_v1beta1.types.ToolNameMatchInput

google.cloud.aiplatform_v1beta1.types.ToolNameMatchInstance

ToolNameMatchInstance(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for tool name match instance.

See more: google.cloud.aiplatform_v1beta1.types.ToolNameMatchInstance

google.cloud.aiplatform_v1beta1.types.ToolNameMatchMetricValue

ToolNameMatchMetricValue(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Tool name match metric value for an instance.

See more: google.cloud.aiplatform_v1beta1.types.ToolNameMatchMetricValue

google.cloud.aiplatform_v1beta1.types.ToolNameMatchResults

ToolNameMatchResults(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Results for tool name match metric.

See more: google.cloud.aiplatform_v1beta1.types.ToolNameMatchResults

google.cloud.aiplatform_v1beta1.types.ToolNameMatchSpec

ToolNameMatchSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for tool name match metric.

See more: google.cloud.aiplatform_v1beta1.types.ToolNameMatchSpec

google.cloud.aiplatform_v1beta1.types.ToolParameterKVMatchInput

ToolParameterKVMatchInput(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Input for tool parameter key value match metric.

See more: google.cloud.aiplatform_v1beta1.types.ToolParameterKVMatchInput

google.cloud.aiplatform_v1beta1.types.ToolParameterKVMatchInstance

ToolParameterKVMatchInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for tool parameter key value match instance.

See more: google.cloud.aiplatform_v1beta1.types.ToolParameterKVMatchInstance

google.cloud.aiplatform_v1beta1.types.ToolParameterKVMatchMetricValue

ToolParameterKVMatchMetricValue(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Tool parameter key value match metric value for an instance.

See more: google.cloud.aiplatform_v1beta1.types.ToolParameterKVMatchMetricValue

google.cloud.aiplatform_v1beta1.types.ToolParameterKVMatchResults

ToolParameterKVMatchResults(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Results for tool parameter key value match metric.

See more: google.cloud.aiplatform_v1beta1.types.ToolParameterKVMatchResults

google.cloud.aiplatform_v1beta1.types.ToolParameterKVMatchSpec

ToolParameterKVMatchSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for tool parameter key value match metric.

See more: google.cloud.aiplatform_v1beta1.types.ToolParameterKVMatchSpec

google.cloud.aiplatform_v1beta1.types.ToolParameterKeyMatchInput

ToolParameterKeyMatchInput(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Input for tool parameter key match metric.

See more: google.cloud.aiplatform_v1beta1.types.ToolParameterKeyMatchInput

google.cloud.aiplatform_v1beta1.types.ToolParameterKeyMatchInstance

ToolParameterKeyMatchInstance(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Spec for tool parameter key match instance.

See more: google.cloud.aiplatform_v1beta1.types.ToolParameterKeyMatchInstance

google.cloud.aiplatform_v1beta1.types.ToolParameterKeyMatchMetricValue

ToolParameterKeyMatchMetricValue(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Tool parameter key match metric value for an instance.

See more: google.cloud.aiplatform_v1beta1.types.ToolParameterKeyMatchMetricValue

google.cloud.aiplatform_v1beta1.types.ToolParameterKeyMatchResults

ToolParameterKeyMatchResults(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Results for tool parameter key match metric.

See more: google.cloud.aiplatform_v1beta1.types.ToolParameterKeyMatchResults

google.cloud.aiplatform_v1beta1.types.ToolParameterKeyMatchSpec

ToolParameterKeyMatchSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Spec for tool parameter key match metric.

See more: google.cloud.aiplatform_v1beta1.types.ToolParameterKeyMatchSpec

google.cloud.aiplatform_v1beta1.types.ToolUseExample

ToolUseExample(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A single example of the tool usage.

See more: google.cloud.aiplatform_v1beta1.types.ToolUseExample

google.cloud.aiplatform_v1beta1.types.ToolUseExample.ExtensionOperation

ExtensionOperation(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Identifies one operation of the extension.

See more: google.cloud.aiplatform_v1beta1.types.ToolUseExample.ExtensionOperation

google.cloud.aiplatform_v1beta1.types.TrainingConfig

TrainingConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

CMLE training config.

See more: google.cloud.aiplatform_v1beta1.types.TrainingConfig

google.cloud.aiplatform_v1beta1.types.TrainingPipeline

TrainingPipeline(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The TrainingPipeline orchestrates tasks associated with training a Model.

See more: google.cloud.aiplatform_v1beta1.types.TrainingPipeline

google.cloud.aiplatform_v1beta1.types.TrainingPipeline.LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.TrainingPipeline.LabelsEntry

google.cloud.aiplatform_v1beta1.types.Trial

Trial(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A message representing a Trial.

See more: google.cloud.aiplatform_v1beta1.types.Trial

google.cloud.aiplatform_v1beta1.types.Trial.Parameter

Parameter(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A message representing a parameter to be tuned.

See more: google.cloud.aiplatform_v1beta1.types.Trial.Parameter

google.cloud.aiplatform_v1beta1.types.Trial.State

State(value)

Describes a Trial state.

See more: google.cloud.aiplatform_v1beta1.types.Trial.State

google.cloud.aiplatform_v1beta1.types.Trial.WebAccessUrisEntry

WebAccessUrisEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.Trial.WebAccessUrisEntry

google.cloud.aiplatform_v1beta1.types.TrialContext

TrialContext(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Next ID: 3 .

See more: google.cloud.aiplatform_v1beta1.types.TrialContext

google.cloud.aiplatform_v1beta1.types.Type

Type(value)

Type contains the list of OpenAPI data types as defined by https://swagger.io/docs/specification/data-models/data-types/.

See more: google.cloud.aiplatform_v1beta1.types.Type

google.cloud.aiplatform_v1beta1.types.UndeployIndexOperationMetadata

UndeployIndexOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for IndexEndpointService.UndeployIndex.

See more: google.cloud.aiplatform_v1beta1.types.UndeployIndexOperationMetadata

google.cloud.aiplatform_v1beta1.types.UndeployIndexRequest

UndeployIndexRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexEndpointService.UndeployIndex.

See more: google.cloud.aiplatform_v1beta1.types.UndeployIndexRequest

google.cloud.aiplatform_v1beta1.types.UndeployIndexResponse

UndeployIndexResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for IndexEndpointService.UndeployIndex.

See more: google.cloud.aiplatform_v1beta1.types.UndeployIndexResponse

google.cloud.aiplatform_v1beta1.types.UndeployModelOperationMetadata

UndeployModelOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for EndpointService.UndeployModel.

See more: google.cloud.aiplatform_v1beta1.types.UndeployModelOperationMetadata

google.cloud.aiplatform_v1beta1.types.UndeployModelRequest

UndeployModelRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for EndpointService.UndeployModel.

See more: google.cloud.aiplatform_v1beta1.types.UndeployModelRequest

google.cloud.aiplatform_v1beta1.types.UndeployModelRequest.TrafficSplitEntry

TrafficSplitEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.UndeployModelRequest.TrafficSplitEntry

google.cloud.aiplatform_v1beta1.types.UndeployModelResponse

UndeployModelResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for EndpointService.UndeployModel.

See more: google.cloud.aiplatform_v1beta1.types.UndeployModelResponse

google.cloud.aiplatform_v1beta1.types.UnmanagedContainerModel

UnmanagedContainerModel(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Contains model information necessary to perform batch prediction without requiring a full model import.

See more: google.cloud.aiplatform_v1beta1.types.UnmanagedContainerModel

google.cloud.aiplatform_v1beta1.types.UpdateArtifactRequest

UpdateArtifactRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.UpdateArtifact.

See more: google.cloud.aiplatform_v1beta1.types.UpdateArtifactRequest

google.cloud.aiplatform_v1beta1.types.UpdateContextRequest

UpdateContextRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.UpdateContext.

See more: google.cloud.aiplatform_v1beta1.types.UpdateContextRequest

google.cloud.aiplatform_v1beta1.types.UpdateDatasetRequest

UpdateDatasetRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for DatasetService.UpdateDataset.

See more: google.cloud.aiplatform_v1beta1.types.UpdateDatasetRequest

google.cloud.aiplatform_v1beta1.types.UpdateDeploymentResourcePoolOperationMetadata

UpdateDeploymentResourcePoolOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for UpdateDeploymentResourcePool method.

See more: google.cloud.aiplatform_v1beta1.types.UpdateDeploymentResourcePoolOperationMetadata

google.cloud.aiplatform_v1beta1.types.UpdateEndpointRequest

UpdateEndpointRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for EndpointService.UpdateEndpoint.

See more: google.cloud.aiplatform_v1beta1.types.UpdateEndpointRequest

google.cloud.aiplatform_v1beta1.types.UpdateEntityTypeRequest

UpdateEntityTypeRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.UpdateEntityType.

See more: google.cloud.aiplatform_v1beta1.types.UpdateEntityTypeRequest

google.cloud.aiplatform_v1beta1.types.UpdateExecutionRequest

UpdateExecutionRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for MetadataService.UpdateExecution.

See more: google.cloud.aiplatform_v1beta1.types.UpdateExecutionRequest

google.cloud.aiplatform_v1beta1.types.UpdateExplanationDatasetOperationMetadata

UpdateExplanationDatasetOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for ModelService.UpdateExplanationDataset.

See more: google.cloud.aiplatform_v1beta1.types.UpdateExplanationDatasetOperationMetadata

google.cloud.aiplatform_v1beta1.types.UpdateExplanationDatasetRequest

UpdateExplanationDatasetRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for ModelService.UpdateExplanationDataset.

See more: google.cloud.aiplatform_v1beta1.types.UpdateExplanationDatasetRequest

google.cloud.aiplatform_v1beta1.types.UpdateExplanationDatasetResponse

UpdateExplanationDatasetResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message of ModelService.UpdateExplanationDataset operation.

See more: google.cloud.aiplatform_v1beta1.types.UpdateExplanationDatasetResponse

google.cloud.aiplatform_v1beta1.types.UpdateExtensionRequest

UpdateExtensionRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ExtensionRegistryService.UpdateExtension.

See more: google.cloud.aiplatform_v1beta1.types.UpdateExtensionRequest

google.cloud.aiplatform_v1beta1.types.UpdateFeatureGroupOperationMetadata

UpdateFeatureGroupOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform update FeatureGroup.

See more: google.cloud.aiplatform_v1beta1.types.UpdateFeatureGroupOperationMetadata

google.cloud.aiplatform_v1beta1.types.UpdateFeatureGroupRequest

UpdateFeatureGroupRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureRegistryService.UpdateFeatureGroup.

See more: google.cloud.aiplatform_v1beta1.types.UpdateFeatureGroupRequest

google.cloud.aiplatform_v1beta1.types.UpdateFeatureOnlineStoreOperationMetadata

UpdateFeatureOnlineStoreOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform update FeatureOnlineStore.

See more: google.cloud.aiplatform_v1beta1.types.UpdateFeatureOnlineStoreOperationMetadata

google.cloud.aiplatform_v1beta1.types.UpdateFeatureOnlineStoreRequest

UpdateFeatureOnlineStoreRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore.

See more: google.cloud.aiplatform_v1beta1.types.UpdateFeatureOnlineStoreRequest

google.cloud.aiplatform_v1beta1.types.UpdateFeatureOperationMetadata

UpdateFeatureOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform update Feature.

See more: google.cloud.aiplatform_v1beta1.types.UpdateFeatureOperationMetadata

google.cloud.aiplatform_v1beta1.types.UpdateFeatureRequest

UpdateFeatureRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.UpdateFeature.

See more: google.cloud.aiplatform_v1beta1.types.UpdateFeatureRequest

google.cloud.aiplatform_v1beta1.types.UpdateFeatureViewOperationMetadata

UpdateFeatureViewOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform update FeatureView.

See more: google.cloud.aiplatform_v1beta1.types.UpdateFeatureViewOperationMetadata

google.cloud.aiplatform_v1beta1.types.UpdateFeatureViewRequest

UpdateFeatureViewRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeatureOnlineStoreAdminService.UpdateFeatureView.

See more: google.cloud.aiplatform_v1beta1.types.UpdateFeatureViewRequest

google.cloud.aiplatform_v1beta1.types.UpdateFeaturestoreOperationMetadata

UpdateFeaturestoreOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform update Featurestore.

See more: google.cloud.aiplatform_v1beta1.types.UpdateFeaturestoreOperationMetadata

google.cloud.aiplatform_v1beta1.types.UpdateFeaturestoreRequest

UpdateFeaturestoreRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreService.UpdateFeaturestore.

See more: google.cloud.aiplatform_v1beta1.types.UpdateFeaturestoreRequest

google.cloud.aiplatform_v1beta1.types.UpdateIndexEndpointRequest

UpdateIndexEndpointRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexEndpointService.UpdateIndexEndpoint.

See more: google.cloud.aiplatform_v1beta1.types.UpdateIndexEndpointRequest

google.cloud.aiplatform_v1beta1.types.UpdateIndexOperationMetadata

UpdateIndexOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for IndexService.UpdateIndex.

See more: google.cloud.aiplatform_v1beta1.types.UpdateIndexOperationMetadata

google.cloud.aiplatform_v1beta1.types.UpdateIndexRequest

UpdateIndexRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexService.UpdateIndex.

See more: google.cloud.aiplatform_v1beta1.types.UpdateIndexRequest

google.cloud.aiplatform_v1beta1.types.UpdateModelDeploymentMonitoringJobOperationMetadata

UpdateModelDeploymentMonitoringJobOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation information for JobService.UpdateModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1beta1.types.UpdateModelDeploymentMonitoringJobOperationMetadata

google.cloud.aiplatform_v1beta1.types.UpdateModelDeploymentMonitoringJobRequest

UpdateModelDeploymentMonitoringJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.UpdateModelDeploymentMonitoringJob.

See more: google.cloud.aiplatform_v1beta1.types.UpdateModelDeploymentMonitoringJobRequest

google.cloud.aiplatform_v1beta1.types.UpdateModelRequest

UpdateModelRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelService.UpdateModel.

See more: google.cloud.aiplatform_v1beta1.types.UpdateModelRequest

google.cloud.aiplatform_v1beta1.types.UpdatePersistentResourceOperationMetadata

UpdatePersistentResourceOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform update PersistentResource.

See more: google.cloud.aiplatform_v1beta1.types.UpdatePersistentResourceOperationMetadata

google.cloud.aiplatform_v1beta1.types.UpdatePersistentResourceRequest

UpdatePersistentResourceRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for UpdatePersistentResource method.

See more: google.cloud.aiplatform_v1beta1.types.UpdatePersistentResourceRequest

google.cloud.aiplatform_v1beta1.types.UpdateScheduleRequest

UpdateScheduleRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ScheduleService.UpdateSchedule.

See more: google.cloud.aiplatform_v1beta1.types.UpdateScheduleRequest

google.cloud.aiplatform_v1beta1.types.UpdateSpecialistPoolOperationMetadata

UpdateSpecialistPoolOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Runtime operation metadata for SpecialistPoolService.UpdateSpecialistPool.

See more: google.cloud.aiplatform_v1beta1.types.UpdateSpecialistPoolOperationMetadata

google.cloud.aiplatform_v1beta1.types.UpdateSpecialistPoolRequest

UpdateSpecialistPoolRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for SpecialistPoolService.UpdateSpecialistPool.

See more: google.cloud.aiplatform_v1beta1.types.UpdateSpecialistPoolRequest

google.cloud.aiplatform_v1beta1.types.UpdateTensorboardExperimentRequest

UpdateTensorboardExperimentRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.UpdateTensorboardExperiment.

See more: google.cloud.aiplatform_v1beta1.types.UpdateTensorboardExperimentRequest

google.cloud.aiplatform_v1beta1.types.UpdateTensorboardOperationMetadata

UpdateTensorboardOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of operations that perform update Tensorboard.

See more: google.cloud.aiplatform_v1beta1.types.UpdateTensorboardOperationMetadata

google.cloud.aiplatform_v1beta1.types.UpdateTensorboardRequest

UpdateTensorboardRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for TensorboardService.UpdateTensorboard.

See more: google.cloud.aiplatform_v1beta1.types.UpdateTensorboardRequest

google.cloud.aiplatform_v1beta1.types.UpdateTensorboardRunRequest

UpdateTensorboardRunRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for TensorboardService.UpdateTensorboardRun.

See more: google.cloud.aiplatform_v1beta1.types.UpdateTensorboardRunRequest

google.cloud.aiplatform_v1beta1.types.UpdateTensorboardTimeSeriesRequest

UpdateTensorboardTimeSeriesRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.UpdateTensorboardTimeSeries.

See more: google.cloud.aiplatform_v1beta1.types.UpdateTensorboardTimeSeriesRequest

google.cloud.aiplatform_v1beta1.types.UpgradeNotebookRuntimeOperationMetadata

UpgradeNotebookRuntimeOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Metadata information for NotebookService.UpgradeNotebookRuntime.

See more: google.cloud.aiplatform_v1beta1.types.UpgradeNotebookRuntimeOperationMetadata

google.cloud.aiplatform_v1beta1.types.UpgradeNotebookRuntimeRequest

UpgradeNotebookRuntimeRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for NotebookService.UpgradeNotebookRuntime.

See more: google.cloud.aiplatform_v1beta1.types.UpgradeNotebookRuntimeRequest

google.cloud.aiplatform_v1beta1.types.UpgradeNotebookRuntimeResponse

UpgradeNotebookRuntimeResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for NotebookService.UpgradeNotebookRuntime.

See more: google.cloud.aiplatform_v1beta1.types.UpgradeNotebookRuntimeResponse

google.cloud.aiplatform_v1beta1.types.UploadModelOperationMetadata

UploadModelOperationMetadata(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Details of ModelService.UploadModel operation.

See more: google.cloud.aiplatform_v1beta1.types.UploadModelOperationMetadata

google.cloud.aiplatform_v1beta1.types.UploadModelRequest

UploadModelRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for ModelService.UploadModel.

See more: google.cloud.aiplatform_v1beta1.types.UploadModelRequest

google.cloud.aiplatform_v1beta1.types.UploadModelResponse

UploadModelResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message of ModelService.UploadModel operation.

See more: google.cloud.aiplatform_v1beta1.types.UploadModelResponse

google.cloud.aiplatform_v1beta1.types.UploadRagFileConfig

UploadRagFileConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Config for uploading RagFile.

See more: google.cloud.aiplatform_v1beta1.types.UploadRagFileConfig

google.cloud.aiplatform_v1beta1.types.UploadRagFileRequest

UploadRagFileRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for VertexRagDataService.UploadRagFile.

See more: google.cloud.aiplatform_v1beta1.types.UploadRagFileRequest

google.cloud.aiplatform_v1beta1.types.UploadRagFileResponse

UploadRagFileResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for VertexRagDataService.UploadRagFile.

See more: google.cloud.aiplatform_v1beta1.types.UploadRagFileResponse

google.cloud.aiplatform_v1beta1.types.UpsertDatapointsRequest

UpsertDatapointsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for IndexService.UpsertDatapoints .

See more: google.cloud.aiplatform_v1beta1.types.UpsertDatapointsRequest

google.cloud.aiplatform_v1beta1.types.UpsertDatapointsResponse

UpsertDatapointsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for IndexService.UpsertDatapoints .

See more: google.cloud.aiplatform_v1beta1.types.UpsertDatapointsResponse

google.cloud.aiplatform_v1beta1.types.UserActionReference

UserActionReference(mapping=None, *, ignore_unknown_fields=False, **kwargs)

References an API call.

See more: google.cloud.aiplatform_v1beta1.types.UserActionReference

google.cloud.aiplatform_v1beta1.types.Value

Value(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Value is the value of the field.

See more: google.cloud.aiplatform_v1beta1.types.Value

google.cloud.aiplatform_v1beta1.types.VertexAISearch

VertexAISearch(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Retrieve from Vertex AI Search datastore for grounding.

See more: google.cloud.aiplatform_v1beta1.types.VertexAISearch

google.cloud.aiplatform_v1beta1.types.VertexRagStore

VertexRagStore(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Retrieve from Vertex RAG Store for grounding.

See more: google.cloud.aiplatform_v1beta1.types.VertexRagStore

google.cloud.aiplatform_v1beta1.types.VideoMetadata

VideoMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Metadata describes the input video content.

See more: google.cloud.aiplatform_v1beta1.types.VideoMetadata

google.cloud.aiplatform_v1beta1.types.WorkerPoolSpec

WorkerPoolSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Represents the spec of a worker pool in a job.

See more: google.cloud.aiplatform_v1beta1.types.WorkerPoolSpec

google.cloud.aiplatform_v1beta1.types.WriteFeatureValuesPayload

WriteFeatureValuesPayload(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Contains Feature values to be written for a specific entity.

See more: google.cloud.aiplatform_v1beta1.types.WriteFeatureValuesPayload

google.cloud.aiplatform_v1beta1.types.WriteFeatureValuesPayload.FeatureValuesEntry

FeatureValuesEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

See more: google.cloud.aiplatform_v1beta1.types.WriteFeatureValuesPayload.FeatureValuesEntry

google.cloud.aiplatform_v1beta1.types.WriteFeatureValuesRequest

WriteFeatureValuesRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for FeaturestoreOnlineServingService.WriteFeatureValues.

See more: google.cloud.aiplatform_v1beta1.types.WriteFeatureValuesRequest

google.cloud.aiplatform_v1beta1.types.WriteFeatureValuesResponse

WriteFeatureValuesResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for FeaturestoreOnlineServingService.WriteFeatureValues.

See more: google.cloud.aiplatform_v1beta1.types.WriteFeatureValuesResponse

google.cloud.aiplatform_v1beta1.types.WriteTensorboardExperimentDataRequest

WriteTensorboardExperimentDataRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.WriteTensorboardExperimentData.

See more: google.cloud.aiplatform_v1beta1.types.WriteTensorboardExperimentDataRequest

google.cloud.aiplatform_v1beta1.types.WriteTensorboardExperimentDataResponse

WriteTensorboardExperimentDataResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for TensorboardService.WriteTensorboardExperimentData.

See more: google.cloud.aiplatform_v1beta1.types.WriteTensorboardExperimentDataResponse

google.cloud.aiplatform_v1beta1.types.WriteTensorboardRunDataRequest

WriteTensorboardRunDataRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for TensorboardService.WriteTensorboardRunData.

See more: google.cloud.aiplatform_v1beta1.types.WriteTensorboardRunDataRequest

google.cloud.aiplatform_v1beta1.types.WriteTensorboardRunDataResponse

WriteTensorboardRunDataResponse(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Response message for TensorboardService.WriteTensorboardRunData.

See more: google.cloud.aiplatform_v1beta1.types.WriteTensorboardRunDataResponse

google.cloud.aiplatform_v1beta1.types.XraiAttribution

XraiAttribution(mapping=None, *, ignore_unknown_fields=False, **kwargs)

An explanation method that redistributes Integrated Gradients attributions to segmented regions, taking advantage of the model's fully differentiable structure.

See more: google.cloud.aiplatform_v1beta1.types.XraiAttribution

vertexai.generative_models.ChatSession.send_message

send_message(
    content: typing.Union[
        str,
        vertexai.generative_models._generative_models.Image,
        vertexai.generative_models._generative_models.Part,
        typing.List[
            typing.Union[
                str,
                vertexai.generative_models._generative_models.Image,
                vertexai.generative_models._generative_models.Part,
            ]
        ],
    ],
    *,
    generation_config: typing.Optional[
        typing.Union[
            vertexai.generative_models._generative_models.GenerationConfig,
            typing.Dict[str, typing.Any],
        ]
    ] = None,
    safety_settings: typing.Optional[
        typing.Union[
            typing.List[vertexai.generative_models._generative_models.SafetySetting],
            typing.Dict[
                google.cloud.aiplatform_v1beta1.types.content.HarmCategory,
                google.cloud.aiplatform_v1beta1.types.content.SafetySetting.HarmBlockThreshold,
            ],
        ]
    ] = None,
    tools: typing.Optional[
        typing.List[vertexai.generative_models._generative_models.Tool]
    ] = None,
    stream: bool = False
) -> typing.Union[
    vertexai.generative_models._generative_models.GenerationResponse,
    typing.Iterable[vertexai.generative_models._generative_models.GenerationResponse],
]

Generates content.

See more: vertexai.generative_models.ChatSession.send_message

vertexai.generative_models.ChatSession.send_message_async

send_message_async(
    content: typing.Union[
        str,
        vertexai.generative_models._generative_models.Image,
        vertexai.generative_models._generative_models.Part,
        typing.List[
            typing.Union[
                str,
                vertexai.generative_models._generative_models.Image,
                vertexai.generative_models._generative_models.Part,
            ]
        ],
    ],
    *,
    generation_config: typing.Optional[
        typing.Union[
            vertexai.generative_models._generative_models.GenerationConfig,
            typing.Dict[str, typing.Any],
        ]
    ] = None,
    safety_settings: typing.Optional[
        typing.Union[
            typing.List[vertexai.generative_models._generative_models.SafetySetting],
            typing.Dict[
                google.cloud.aiplatform_v1beta1.types.content.HarmCategory,
                google.cloud.aiplatform_v1beta1.types.content.SafetySetting.HarmBlockThreshold,
            ],
        ]
    ] = None,
    tools: typing.Optional[
        typing.List[vertexai.generative_models._generative_models.Tool]
    ] = None,
    stream: bool = False
) -> typing.Union[
    typing.Awaitable[vertexai.generative_models._generative_models.GenerationResponse],
    typing.Awaitable[
        typing.AsyncIterable[
            vertexai.generative_models._generative_models.GenerationResponse
        ]
    ],
]

Generates content asynchronously.

See more: vertexai.generative_models.ChatSession.send_message_async

vertexai.generative_models.FunctionDeclaration

FunctionDeclaration(
    *,
    name: str,
    parameters: typing.Dict[str, typing.Any],
    description: typing.Optional[str] = None
)

Constructs a FunctionDeclaration.

See more: vertexai.generative_models.FunctionDeclaration

vertexai.generative_models.GenerationConfig

GenerationConfig(
    *,
    temperature: typing.Optional[float] = None,
    top_p: typing.Optional[float] = None,
    top_k: typing.Optional[int] = None,
    candidate_count: typing.Optional[int] = None,
    max_output_tokens: typing.Optional[int] = None,
    stop_sequences: typing.Optional[typing.List[str]] = None
)

Constructs a GenerationConfig object.

See more: vertexai.generative_models.GenerationConfig

vertexai.generative_models.GenerativeModel.count_tokens

count_tokens(
    contents: typing.Union[
        typing.List[vertexai.generative_models._generative_models.Content],
        typing.List[typing.Dict[str, typing.Any]],
        str,
        vertexai.generative_models._generative_models.Image,
        vertexai.generative_models._generative_models.Part,
        typing.List[
            typing.Union[
                str,
                vertexai.generative_models._generative_models.Image,
                vertexai.generative_models._generative_models.Part,
            ]
        ],
    ]
) -> google.cloud.aiplatform_v1beta1.types.prediction_service.CountTokensResponse

Counts tokens.

See more: vertexai.generative_models.GenerativeModel.count_tokens

vertexai.generative_models.GenerativeModel.count_tokens_async

count_tokens_async(
    contents: typing.Union[
        typing.List[vertexai.generative_models._generative_models.Content],
        typing.List[typing.Dict[str, typing.Any]],
        str,
        vertexai.generative_models._generative_models.Image,
        vertexai.generative_models._generative_models.Part,
        typing.List[
            typing.Union[
                str,
                vertexai.generative_models._generative_models.Image,
                vertexai.generative_models._generative_models.Part,
            ]
        ],
    ]
) -> google.cloud.aiplatform_v1beta1.types.prediction_service.CountTokensResponse

Counts tokens asynchronously.

See more: vertexai.generative_models.GenerativeModel.count_tokens_async

vertexai.generative_models.GenerativeModel.generate_content

generate_content(
    contents: typing.Union[
        typing.List[vertexai.generative_models._generative_models.Content],
        typing.List[typing.Dict[str, typing.Any]],
        str,
        vertexai.generative_models._generative_models.Image,
        vertexai.generative_models._generative_models.Part,
        typing.List[
            typing.Union[
                str,
                vertexai.generative_models._generative_models.Image,
                vertexai.generative_models._generative_models.Part,
            ]
        ],
    ],
    *,
    generation_config: typing.Optional[
        typing.Union[
            vertexai.generative_models._generative_models.GenerationConfig,
            typing.Dict[str, typing.Any],
        ]
    ] = None,
    safety_settings: typing.Optional[
        typing.Union[
            typing.List[vertexai.generative_models._generative_models.SafetySetting],
            typing.Dict[
                google.cloud.aiplatform_v1beta1.types.content.HarmCategory,
                google.cloud.aiplatform_v1beta1.types.content.SafetySetting.HarmBlockThreshold,
            ],
        ]
    ] = None,
    tools: typing.Optional[
        typing.List[vertexai.generative_models._generative_models.Tool]
    ] = None,
    tool_config: typing.Optional[
        vertexai.generative_models._generative_models.ToolConfig
    ] = None,
    stream: bool = False
) -> typing.Union[
    vertexai.generative_models._generative_models.GenerationResponse,
    typing.Iterable[vertexai.generative_models._generative_models.GenerationResponse],
]

Generates content.

See more: vertexai.generative_models.GenerativeModel.generate_content

vertexai.generative_models.GenerativeModel.generate_content_async

generate_content_async(
    contents: typing.Union[
        typing.List[vertexai.generative_models._generative_models.Content],
        typing.List[typing.Dict[str, typing.Any]],
        str,
        vertexai.generative_models._generative_models.Image,
        vertexai.generative_models._generative_models.Part,
        typing.List[
            typing.Union[
                str,
                vertexai.generative_models._generative_models.Image,
                vertexai.generative_models._generative_models.Part,
            ]
        ],
    ],
    *,
    generation_config: typing.Optional[
        typing.Union[
            vertexai.generative_models._generative_models.GenerationConfig,
            typing.Dict[str, typing.Any],
        ]
    ] = None,
    safety_settings: typing.Optional[
        typing.Union[
            typing.List[vertexai.generative_models._generative_models.SafetySetting],
            typing.Dict[
                google.cloud.aiplatform_v1beta1.types.content.HarmCategory,
                google.cloud.aiplatform_v1beta1.types.content.SafetySetting.HarmBlockThreshold,
            ],
        ]
    ] = None,
    tools: typing.Optional[
        typing.List[vertexai.generative_models._generative_models.Tool]
    ] = None,
    tool_config: typing.Optional[
        vertexai.generative_models._generative_models.ToolConfig
    ] = None,
    stream: bool = False
) -> typing.Union[
    vertexai.generative_models._generative_models.GenerationResponse,
    typing.AsyncIterable[
        vertexai.generative_models._generative_models.GenerationResponse
    ],
]

Generates content asynchronously.

See more: vertexai.generative_models.GenerativeModel.generate_content_async

vertexai.generative_models.GenerativeModel.start_chat

start_chat(
    *,
    history: typing.Optional[
        typing.List[vertexai.generative_models._generative_models.Content]
    ] = None,
    response_validation: bool = True
) -> vertexai.generative_models._generative_models.ChatSession

Creates a stateful chat session.

See more: vertexai.generative_models.GenerativeModel.start_chat

vertexai.generative_models.Image.from_bytes

from_bytes(data: bytes) -> vertexai.generative_models._generative_models.Image

Loads image from image bytes.

See more: vertexai.generative_models.Image.from_bytes

vertexai.generative_models.Image.load_from_file

load_from_file(
    location: str,
) -> vertexai.generative_models._generative_models.Image

Loads image from file.

See more: vertexai.generative_models.Image.load_from_file

vertexai.generative_models.ResponseValidationError.with_traceback

Exception.with_traceback(tb) -- set self.traceback to tb and return self.

See more: vertexai.generative_models.ResponseValidationError.with_traceback

vertexai.generative_models.SafetySetting

SafetySetting(
    *,
    category: google.cloud.aiplatform_v1beta1.types.content.HarmCategory,
    threshold: google.cloud.aiplatform_v1beta1.types.content.SafetySetting.HarmBlockThreshold,
    method: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.content.SafetySetting.HarmBlockMethod
    ] = None
)

Safety settings.

See more: vertexai.generative_models.SafetySetting

vertexai.language_models.ChatModel

ChatModel(model_id: str, endpoint_name: typing.Optional[str] = None)

Creates a LanguageModel.

See more: vertexai.language_models.ChatModel

vertexai.language_models.ChatModel.from_pretrained

from_pretrained(model_name: str) -> vertexai._model_garden._model_garden_models.T

Loads a _ModelGardenModel.

See more: vertexai.language_models.ChatModel.from_pretrained

vertexai.language_models.ChatModel.get_tuned_model

get_tuned_model(
    tuned_model_name: str,
) -> vertexai.language_models._language_models._LanguageModel

Loads the specified tuned language model.

See more: vertexai.language_models.ChatModel.get_tuned_model

vertexai.language_models.ChatModel.list_tuned_model_names

list_tuned_model_names() -> typing.Sequence[str]

Lists the names of tuned models.

See more: vertexai.language_models.ChatModel.list_tuned_model_names

vertexai.language_models.ChatModel.start_chat

start_chat(
    *,
    context: typing.Optional[str] = None,
    examples: typing.Optional[
        typing.List[vertexai.language_models.InputOutputTextPair]
    ] = None,
    max_output_tokens: typing.Optional[int] = None,
    temperature: typing.Optional[float] = None,
    top_k: typing.Optional[int] = None,
    top_p: typing.Optional[float] = None,
    message_history: typing.Optional[
        typing.List[vertexai.language_models.ChatMessage]
    ] = None,
    stop_sequences: typing.Optional[typing.List[str]] = None
) -> vertexai.language_models.ChatSession

Starts a chat session with the model.

See more: vertexai.language_models.ChatModel.start_chat

vertexai.language_models.ChatModel.tune_model

tune_model(
    training_data: typing.Union[str, pandas.core.frame.DataFrame],
    *,
    train_steps: typing.Optional[int] = None,
    learning_rate_multiplier: typing.Optional[float] = None,
    tuning_job_location: typing.Optional[str] = None,
    tuned_model_location: typing.Optional[str] = None,
    model_display_name: typing.Optional[str] = None,
    default_context: typing.Optional[str] = None,
    accelerator_type: typing.Optional[typing.Literal["TPU", "GPU"]] = None,
    tuning_evaluation_spec: typing.Optional[TuningEvaluationSpec] = None
) -> _LanguageModelTuningJob

Tunes a model based on training data.

See more: vertexai.language_models.ChatModel.tune_model

vertexai.language_models.ChatModel.tune_model_rlhf

tune_model_rlhf(
    *,
    prompt_data: typing.Union[str, pandas.core.frame.DataFrame],
    preference_data: typing.Union[str, pandas.core.frame.DataFrame],
    model_display_name: typing.Optional[str] = None,
    prompt_sequence_length: typing.Optional[int] = None,
    target_sequence_length: typing.Optional[int] = None,
    reward_model_learning_rate_multiplier: typing.Optional[float] = None,
    reinforcement_learning_rate_multiplier: typing.Optional[float] = None,
    reward_model_train_steps: typing.Optional[int] = None,
    reinforcement_learning_train_steps: typing.Optional[int] = None,
    kl_coeff: typing.Optional[float] = None,
    default_context: typing.Optional[str] = None,
    tuning_job_location: typing.Optional[str] = None,
    accelerator_type: typing.Optional[typing.Literal["TPU", "GPU"]] = None,
    tuning_evaluation_spec: typing.Optional[TuningEvaluationSpec] = None
) -> _LanguageModelTuningJob

Tunes a model using reinforcement learning from human feedback.

See more: vertexai.language_models.ChatModel.tune_model_rlhf

vertexai.language_models.ChatSession.send_message

send_message(
    message: str,
    *,
    max_output_tokens: typing.Optional[int] = None,
    temperature: typing.Optional[float] = None,
    top_k: typing.Optional[int] = None,
    top_p: typing.Optional[float] = None,
    stop_sequences: typing.Optional[typing.List[str]] = None,
    candidate_count: typing.Optional[int] = None,
    grounding_source: typing.Optional[
        typing.Union[
            vertexai.language_models._language_models.WebSearch,
            vertexai.language_models._language_models.VertexAISearch,
            vertexai.language_models._language_models.InlineContext,
        ]
    ] = None
) -> vertexai.language_models.MultiCandidateTextGenerationResponse

Sends message to the language model and gets a response.

See more: vertexai.language_models.ChatSession.send_message

vertexai.language_models.ChatSession.send_message_async

send_message_async(
    message: str,
    *,
    max_output_tokens: typing.Optional[int] = None,
    temperature: typing.Optional[float] = None,
    top_k: typing.Optional[int] = None,
    top_p: typing.Optional[float] = None,
    stop_sequences: typing.Optional[typing.List[str]] = None,
    candidate_count: typing.Optional[int] = None,
    grounding_source: typing.Optional[
        typing.Union[
            vertexai.language_models._language_models.WebSearch,
            vertexai.language_models._language_models.VertexAISearch,
            vertexai.language_models._language_models.InlineContext,
        ]
    ] = None
) -> vertexai.language_models.MultiCandidateTextGenerationResponse

Asynchronously sends message to the language model and gets a response.

See more: vertexai.language_models.ChatSession.send_message_async

vertexai.language_models.ChatSession.send_message_streaming

send_message_streaming(
    message: str,
    *,
    max_output_tokens: typing.Optional[int] = None,
    temperature: typing.Optional[float] = None,
    top_k: typing.Optional[int] = None,
    top_p: typing.Optional[float] = None,
    stop_sequences: typing.Optional[typing.List[str]] = None
) -> typing.Iterator[vertexai.language_models.TextGenerationResponse]

Sends message to the language model and gets a streamed response.

See more: vertexai.language_models.ChatSession.send_message_streaming

vertexai.language_models.ChatSession.send_message_streaming_async

send_message_streaming_async(
    message: str,
    *,
    max_output_tokens: typing.Optional[int] = None,
    temperature: typing.Optional[float] = None,
    top_k: typing.Optional[int] = None,
    top_p: typing.Optional[float] = None,
    stop_sequences: typing.Optional[typing.List[str]] = None
) -> typing.AsyncIterator[vertexai.language_models.TextGenerationResponse]

Asynchronously sends message to the language model and gets a streamed response.

See more: vertexai.language_models.ChatSession.send_message_streaming_async

vertexai.language_models.CodeChatModel

CodeChatModel(model_id: str, endpoint_name: typing.Optional[str] = None)

Creates a LanguageModel.

See more: vertexai.language_models.CodeChatModel

vertexai.language_models.CodeChatModel.from_pretrained

from_pretrained(model_name: str) -> vertexai._model_garden._model_garden_models.T

Loads a _ModelGardenModel.

See more: vertexai.language_models.CodeChatModel.from_pretrained

vertexai.language_models.CodeChatModel.get_tuned_model

get_tuned_model(
    tuned_model_name: str,
) -> vertexai.language_models._language_models._LanguageModel

Loads the specified tuned language model.

See more: vertexai.language_models.CodeChatModel.get_tuned_model

vertexai.language_models.CodeChatModel.list_tuned_model_names

list_tuned_model_names() -> typing.Sequence[str]

Lists the names of tuned models.

See more: vertexai.language_models.CodeChatModel.list_tuned_model_names

vertexai.language_models.CodeChatModel.start_chat

start_chat(
    *,
    context: typing.Optional[str] = None,
    max_output_tokens: typing.Optional[int] = None,
    temperature: typing.Optional[float] = None,
    message_history: typing.Optional[
        typing.List[vertexai.language_models.ChatMessage]
    ] = None,
    stop_sequences: typing.Optional[typing.List[str]] = None
) -> vertexai.language_models.CodeChatSession

Starts a chat session with the code chat model.

See more: vertexai.language_models.CodeChatModel.start_chat

vertexai.language_models.CodeChatModel.tune_model

tune_model(
    training_data: typing.Union[str, pandas.core.frame.DataFrame],
    *,
    train_steps: typing.Optional[int] = None,
    learning_rate_multiplier: typing.Optional[float] = None,
    tuning_job_location: typing.Optional[str] = None,
    tuned_model_location: typing.Optional[str] = None,
    model_display_name: typing.Optional[str] = None,
    default_context: typing.Optional[str] = None,
    accelerator_type: typing.Optional[typing.Literal["TPU", "GPU"]] = None,
    tuning_evaluation_spec: typing.Optional[TuningEvaluationSpec] = None
) -> _LanguageModelTuningJob

Tunes a model based on training data.

See more: vertexai.language_models.CodeChatModel.tune_model

vertexai.language_models.CodeChatSession.send_message

send_message(
    message: str,
    *,
    max_output_tokens: typing.Optional[int] = None,
    temperature: typing.Optional[float] = None,
    stop_sequences: typing.Optional[typing.List[str]] = None,
    candidate_count: typing.Optional[int] = None
) -> vertexai.language_models.MultiCandidateTextGenerationResponse

Sends message to the code chat model and gets a response.

See more: vertexai.language_models.CodeChatSession.send_message

vertexai.language_models.CodeChatSession.send_message_async

send_message_async(
    message: str,
    *,
    max_output_tokens: typing.Optional[int] = None,
    temperature: typing.Optional[float] = None,
    candidate_count: typing.Optional[int] = None
) -> vertexai.language_models.MultiCandidateTextGenerationResponse

Asynchronously sends message to the code chat model and gets a response.

See more: vertexai.language_models.CodeChatSession.send_message_async

vertexai.language_models.CodeChatSession.send_message_streaming

send_message_streaming(
    message: str,
    *,
    max_output_tokens: typing.Optional[int] = None,
    temperature: typing.Optional[float] = None,
    stop_sequences: typing.Optional[typing.List[str]] = None
) -> typing.Iterator[vertexai.language_models.TextGenerationResponse]

Sends message to the language model and gets a streamed response.

See more: vertexai.language_models.CodeChatSession.send_message_streaming

vertexai.language_models.CodeChatSession.send_message_streaming_async

send_message_streaming_async(
    message: str,
    *,
    max_output_tokens: typing.Optional[int] = None,
    temperature: typing.Optional[float] = None,
    stop_sequences: typing.Optional[typing.List[str]] = None
) -> typing.AsyncIterator[vertexai.language_models.TextGenerationResponse]

Asynchronously sends message to the language model and gets a streamed response.

See more: vertexai.language_models.CodeChatSession.send_message_streaming_async

vertexai.language_models.CodeGenerationModel.batch_predict

batch_predict(
    *,
    dataset: typing.Union[str, typing.List[str]],
    destination_uri_prefix: str,
    model_parameters: typing.Optional[typing.Dict] = None
) -> google.cloud.aiplatform.jobs.BatchPredictionJob

Starts a batch prediction job with the model.

See more: vertexai.language_models.CodeGenerationModel.batch_predict

vertexai.language_models.CodeGenerationModel.from_pretrained

from_pretrained(model_name: str) -> vertexai._model_garden._model_garden_models.T

Loads a _ModelGardenModel.

See more: vertexai.language_models.CodeGenerationModel.from_pretrained

vertexai.language_models.CodeGenerationModel.get_tuned_model

get_tuned_model(
    tuned_model_name: str,
) -> vertexai.language_models._language_models._LanguageModel

Loads the specified tuned language model.

See more: vertexai.language_models.CodeGenerationModel.get_tuned_model

vertexai.language_models.CodeGenerationModel.list_tuned_model_names

list_tuned_model_names() -> typing.Sequence[str]

Lists the names of tuned models.

See more: vertexai.language_models.CodeGenerationModel.list_tuned_model_names

vertexai.language_models.CodeGenerationModel.predict

predict(
    prefix: str,
    suffix: typing.Optional[str] = None,
    *,
    max_output_tokens: typing.Optional[int] = None,
    temperature: typing.Optional[float] = None,
    stop_sequences: typing.Optional[typing.List[str]] = None,
    candidate_count: typing.Optional[int] = None
) -> vertexai.language_models.TextGenerationResponse

Gets model response for a single prompt.

See more: vertexai.language_models.CodeGenerationModel.predict

vertexai.language_models.CodeGenerationModel.predict_async

predict_async(
    prefix: str,
    suffix: typing.Optional[str] = None,
    *,
    max_output_tokens: typing.Optional[int] = None,
    temperature: typing.Optional[float] = None,
    stop_sequences: typing.Optional[typing.List[str]] = None,
    candidate_count: typing.Optional[int] = None
) -> vertexai.language_models.TextGenerationResponse

Asynchronously gets model response for a single prompt.

See more: vertexai.language_models.CodeGenerationModel.predict_async

vertexai.language_models.CodeGenerationModel.predict_streaming

predict_streaming(
    prefix: str,
    suffix: typing.Optional[str] = None,
    *,
    max_output_tokens: typing.Optional[int] = None,
    temperature: typing.Optional[float] = None,
    stop_sequences: typing.Optional[typing.List[str]] = None
) -> typing.Iterator[vertexai.language_models.TextGenerationResponse]

Predicts the code based on previous code.

See more: vertexai.language_models.CodeGenerationModel.predict_streaming

vertexai.language_models.CodeGenerationModel.predict_streaming_async

predict_streaming_async(
    prefix: str,
    suffix: typing.Optional[str] = None,
    *,
    max_output_tokens: typing.Optional[int] = None,
    temperature: typing.Optional[float] = None,
    stop_sequences: typing.Optional[typing.List[str]] = None
) -> typing.AsyncIterator[vertexai.language_models.TextGenerationResponse]

Asynchronously predicts the code based on previous code.

See more: vertexai.language_models.CodeGenerationModel.predict_streaming_async

vertexai.language_models.CodeGenerationModel.tune_model

tune_model(
    training_data: typing.Union[str, pandas.core.frame.DataFrame],
    *,
    train_steps: typing.Optional[int] = None,
    learning_rate_multiplier: typing.Optional[float] = None,
    tuning_job_location: typing.Optional[str] = None,
    tuned_model_location: typing.Optional[str] = None,
    model_display_name: typing.Optional[str] = None,
    tuning_evaluation_spec: typing.Optional[TuningEvaluationSpec] = None,
    accelerator_type: typing.Optional[typing.Literal["TPU", "GPU"]] = None,
    max_context_length: typing.Optional[str] = None
) -> _LanguageModelTuningJob

Tunes a model based on training data.

See more: vertexai.language_models.CodeGenerationModel.tune_model

vertexai.language_models.TextEmbeddingModel

TextEmbeddingModel(model_id: str, endpoint_name: typing.Optional[str] = None)

Creates a LanguageModel.

See more: vertexai.language_models.TextEmbeddingModel

vertexai.language_models.TextEmbeddingModel.from_pretrained

from_pretrained(model_name: str) -> vertexai._model_garden._model_garden_models.T

Loads a _ModelGardenModel.

See more: vertexai.language_models.TextEmbeddingModel.from_pretrained

vertexai.language_models.TextEmbeddingModel.get_embeddings

get_embeddings(
    texts: typing.List[typing.Union[str, vertexai.language_models.TextEmbeddingInput]],
    *,
    auto_truncate: bool = True,
    output_dimensionality: typing.Optional[int] = None
) -> typing.List[vertexai.language_models.TextEmbedding]

Calculates embeddings for the given texts.

See more: vertexai.language_models.TextEmbeddingModel.get_embeddings

vertexai.language_models.TextEmbeddingModel.get_embeddings_async

get_embeddings_async(
    texts: typing.List[typing.Union[str, vertexai.language_models.TextEmbeddingInput]],
    *,
    auto_truncate: bool = True,
    output_dimensionality: typing.Optional[int] = None
) -> typing.List[vertexai.language_models.TextEmbedding]

Asynchronously calculates embeddings for the given texts.

See more: vertexai.language_models.TextEmbeddingModel.get_embeddings_async

vertexai.language_models.TextGenerationModel.batch_predict

batch_predict(
    *,
    dataset: typing.Union[str, typing.List[str]],
    destination_uri_prefix: str,
    model_parameters: typing.Optional[typing.Dict] = None
) -> google.cloud.aiplatform.jobs.BatchPredictionJob

Starts a batch prediction job with the model.

See more: vertexai.language_models.TextGenerationModel.batch_predict

vertexai.language_models.TextGenerationModel.from_pretrained

from_pretrained(model_name: str) -> vertexai._model_garden._model_garden_models.T

Loads a _ModelGardenModel.

See more: vertexai.language_models.TextGenerationModel.from_pretrained

vertexai.language_models.TextGenerationModel.get_tuned_model

get_tuned_model(
    tuned_model_name: str,
) -> vertexai.language_models._language_models._LanguageModel

Loads the specified tuned language model.

See more: vertexai.language_models.TextGenerationModel.get_tuned_model

vertexai.language_models.TextGenerationModel.list_tuned_model_names

list_tuned_model_names() -> typing.Sequence[str]

Lists the names of tuned models.

See more: vertexai.language_models.TextGenerationModel.list_tuned_model_names

vertexai.language_models.TextGenerationModel.predict

predict(
    prompt: str,
    *,
    max_output_tokens: typing.Optional[int] = 128,
    temperature: typing.Optional[float] = None,
    top_k: typing.Optional[int] = None,
    top_p: typing.Optional[float] = None,
    stop_sequences: typing.Optional[typing.List[str]] = None,
    candidate_count: typing.Optional[int] = None,
    grounding_source: typing.Optional[
        typing.Union[
            vertexai.language_models._language_models.WebSearch,
            vertexai.language_models._language_models.VertexAISearch,
            vertexai.language_models._language_models.InlineContext,
        ]
    ] = None,
    logprobs: typing.Optional[int] = None,
    presence_penalty: typing.Optional[float] = None,
    frequency_penalty: typing.Optional[float] = None,
    logit_bias: typing.Optional[typing.Dict[int, float]] = None
) -> vertexai.language_models.MultiCandidateTextGenerationResponse

Gets model response for a single prompt.

See more: vertexai.language_models.TextGenerationModel.predict

vertexai.language_models.TextGenerationModel.predict_async

predict_async(
    prompt: str,
    *,
    max_output_tokens: typing.Optional[int] = 128,
    temperature: typing.Optional[float] = None,
    top_k: typing.Optional[int] = None,
    top_p: typing.Optional[float] = None,
    stop_sequences: typing.Optional[typing.List[str]] = None,
    candidate_count: typing.Optional[int] = None,
    grounding_source: typing.Optional[
        typing.Union[
            vertexai.language_models._language_models.WebSearch,
            vertexai.language_models._language_models.VertexAISearch,
            vertexai.language_models._language_models.InlineContext,
        ]
    ] = None,
    logprobs: typing.Optional[int] = None,
    presence_penalty: typing.Optional[float] = None,
    frequency_penalty: typing.Optional[float] = None,
    logit_bias: typing.Optional[typing.Dict[int, float]] = None
) -> vertexai.language_models.MultiCandidateTextGenerationResponse

Asynchronously gets model response for a single prompt.

See more: vertexai.language_models.TextGenerationModel.predict_async

vertexai.language_models.TextGenerationModel.predict_streaming

predict_streaming(
    prompt: str,
    *,
    max_output_tokens: int = 128,
    temperature: typing.Optional[float] = None,
    top_k: typing.Optional[int] = None,
    top_p: typing.Optional[float] = None,
    stop_sequences: typing.Optional[typing.List[str]] = None,
    logprobs: typing.Optional[int] = None,
    presence_penalty: typing.Optional[float] = None,
    frequency_penalty: typing.Optional[float] = None,
    logit_bias: typing.Optional[typing.Dict[int, float]] = None
) -> typing.Iterator[vertexai.language_models.TextGenerationResponse]

Gets a streaming model response for a single prompt.

See more: vertexai.language_models.TextGenerationModel.predict_streaming

vertexai.language_models.TextGenerationModel.predict_streaming_async

predict_streaming_async(
    prompt: str,
    *,
    max_output_tokens: int = 128,
    temperature: typing.Optional[float] = None,
    top_k: typing.Optional[int] = None,
    top_p: typing.Optional[float] = None,
    stop_sequences: typing.Optional[typing.List[str]] = None,
    logprobs: typing.Optional[int] = None,
    presence_penalty: typing.Optional[float] = None,
    frequency_penalty: typing.Optional[float] = None,
    logit_bias: typing.Optional[typing.Dict[int, float]] = None
) -> typing.AsyncIterator[vertexai.language_models.TextGenerationResponse]

Asynchronously gets a streaming model response for a single prompt.

See more: vertexai.language_models.TextGenerationModel.predict_streaming_async

vertexai.language_models.TextGenerationModel.tune_model

tune_model(
    training_data: typing.Union[str, pandas.core.frame.DataFrame],
    *,
    train_steps: typing.Optional[int] = None,
    learning_rate_multiplier: typing.Optional[float] = None,
    tuning_job_location: typing.Optional[str] = None,
    tuned_model_location: typing.Optional[str] = None,
    model_display_name: typing.Optional[str] = None,
    tuning_evaluation_spec: typing.Optional[TuningEvaluationSpec] = None,
    accelerator_type: typing.Optional[typing.Literal["TPU", "GPU"]] = None,
    max_context_length: typing.Optional[str] = None
) -> _LanguageModelTuningJob

Tunes a model based on training data.

See more: vertexai.language_models.TextGenerationModel.tune_model

vertexai.language_models.TextGenerationModel.tune_model_rlhf

tune_model_rlhf(
    *,
    prompt_data: typing.Union[str, pandas.core.frame.DataFrame],
    preference_data: typing.Union[str, pandas.core.frame.DataFrame],
    model_display_name: typing.Optional[str] = None,
    prompt_sequence_length: typing.Optional[int] = None,
    target_sequence_length: typing.Optional[int] = None,
    reward_model_learning_rate_multiplier: typing.Optional[float] = None,
    reinforcement_learning_rate_multiplier: typing.Optional[float] = None,
    reward_model_train_steps: typing.Optional[int] = None,
    reinforcement_learning_train_steps: typing.Optional[int] = None,
    kl_coeff: typing.Optional[float] = None,
    default_context: typing.Optional[str] = None,
    tuning_job_location: typing.Optional[str] = None,
    accelerator_type: typing.Optional[typing.Literal["TPU", "GPU"]] = None,
    tuning_evaluation_spec: typing.Optional[TuningEvaluationSpec] = None
) -> _LanguageModelTuningJob

Tunes a model using reinforcement learning from human feedback.

See more: vertexai.language_models.TextGenerationModel.tune_model_rlhf

vertexai.language_models._language_models._TunableModelMixin

_TunableModelMixin(model_id: str, endpoint_name: typing.Optional[str] = None)

Creates a LanguageModel.

See more: vertexai.language_models._language_models._TunableModelMixin

vertexai.language_models._language_models._TunableModelMixin.tune_model

tune_model(
    training_data: typing.Union[str, pandas.core.frame.DataFrame],
    *,
    train_steps: typing.Optional[int] = None,
    learning_rate: typing.Optional[float] = None,
    learning_rate_multiplier: typing.Optional[float] = None,
    tuning_job_location: typing.Optional[str] = None,
    tuned_model_location: typing.Optional[str] = None,
    model_display_name: typing.Optional[str] = None,
    tuning_evaluation_spec: typing.Optional[TuningEvaluationSpec] = None,
    default_context: typing.Optional[str] = None,
    accelerator_type: typing.Optional[typing.Literal["TPU", "GPU"]] = None,
    max_context_length: typing.Optional[str] = None
) -> _LanguageModelTuningJob

Tunes a model based on training data.

See more: vertexai.language_models._language_models._TunableModelMixin.tune_model

vertexai.preview.generative_models.AutomaticFunctionCallingResponder

AutomaticFunctionCallingResponder(max_automatic_function_calls: int = 1)

Initializes the responder.

See more: vertexai.preview.generative_models.AutomaticFunctionCallingResponder

vertexai.preview.generative_models.CallableFunctionDeclaration

CallableFunctionDeclaration(
    name: str,
    function: typing.Callable[[...], typing.Any],
    parameters: typing.Dict[str, typing.Any],
    description: typing.Optional[str] = None,
)

Constructs a FunctionDeclaration.

See more: vertexai.preview.generative_models.CallableFunctionDeclaration

vertexai.preview.generative_models.CallableFunctionDeclaration.from_func

from_func(
    func: typing.Callable[[...], typing.Any]
) -> vertexai.generative_models._generative_models.CallableFunctionDeclaration

Automatically creates a CallableFunctionDeclaration from a Python function.

See more: vertexai.preview.generative_models.CallableFunctionDeclaration.from_func

vertexai.preview.generative_models.ChatSession.send_message

send_message(
    content: typing.Union[
        str,
        vertexai.generative_models._generative_models.Image,
        vertexai.generative_models._generative_models.Part,
        typing.List[
            typing.Union[
                str,
                vertexai.generative_models._generative_models.Image,
                vertexai.generative_models._generative_models.Part,
            ]
        ],
    ],
    *,
    generation_config: typing.Optional[
        typing.Union[
            vertexai.generative_models._generative_models.GenerationConfig,
            typing.Dict[str, typing.Any],
        ]
    ] = None,
    safety_settings: typing.Optional[
        typing.Union[
            typing.List[vertexai.generative_models._generative_models.SafetySetting],
            typing.Dict[
                google.cloud.aiplatform_v1beta1.types.content.HarmCategory,
                google.cloud.aiplatform_v1beta1.types.content.SafetySetting.HarmBlockThreshold,
            ],
        ]
    ] = None,
    tools: typing.Optional[
        typing.List[vertexai.generative_models._generative_models.Tool]
    ] = None,
    stream: bool = False
) -> typing.Union[
    vertexai.generative_models._generative_models.GenerationResponse,
    typing.Iterable[vertexai.generative_models._generative_models.GenerationResponse],
]

Generates content.

See more: vertexai.preview.generative_models.ChatSession.send_message

vertexai.preview.generative_models.ChatSession.send_message_async

send_message_async(
    content: typing.Union[
        str,
        vertexai.generative_models._generative_models.Image,
        vertexai.generative_models._generative_models.Part,
        typing.List[
            typing.Union[
                str,
                vertexai.generative_models._generative_models.Image,
                vertexai.generative_models._generative_models.Part,
            ]
        ],
    ],
    *,
    generation_config: typing.Optional[
        typing.Union[
            vertexai.generative_models._generative_models.GenerationConfig,
            typing.Dict[str, typing.Any],
        ]
    ] = None,
    safety_settings: typing.Optional[
        typing.Union[
            typing.List[vertexai.generative_models._generative_models.SafetySetting],
            typing.Dict[
                google.cloud.aiplatform_v1beta1.types.content.HarmCategory,
                google.cloud.aiplatform_v1beta1.types.content.SafetySetting.HarmBlockThreshold,
            ],
        ]
    ] = None,
    tools: typing.Optional[
        typing.List[vertexai.generative_models._generative_models.Tool]
    ] = None,
    stream: bool = False
) -> typing.Union[
    typing.Awaitable[vertexai.generative_models._generative_models.GenerationResponse],
    typing.Awaitable[
        typing.AsyncIterable[
            vertexai.generative_models._generative_models.GenerationResponse
        ]
    ],
]

Generates content asynchronously.

See more: vertexai.preview.generative_models.ChatSession.send_message_async

vertexai.preview.generative_models.FunctionDeclaration

FunctionDeclaration(
    *,
    name: str,
    parameters: typing.Dict[str, typing.Any],
    description: typing.Optional[str] = None
)

Constructs a FunctionDeclaration.

See more: vertexai.preview.generative_models.FunctionDeclaration

vertexai.preview.generative_models.GenerationConfig

GenerationConfig(
    *,
    temperature: typing.Optional[float] = None,
    top_p: typing.Optional[float] = None,
    top_k: typing.Optional[int] = None,
    candidate_count: typing.Optional[int] = None,
    max_output_tokens: typing.Optional[int] = None,
    stop_sequences: typing.Optional[typing.List[str]] = None
)

Constructs a GenerationConfig object.

See more: vertexai.preview.generative_models.GenerationConfig

vertexai.preview.generative_models.GenerativeModel.count_tokens

count_tokens(
    contents: typing.Union[
        typing.List[vertexai.generative_models._generative_models.Content],
        typing.List[typing.Dict[str, typing.Any]],
        str,
        vertexai.generative_models._generative_models.Image,
        vertexai.generative_models._generative_models.Part,
        typing.List[
            typing.Union[
                str,
                vertexai.generative_models._generative_models.Image,
                vertexai.generative_models._generative_models.Part,
            ]
        ],
    ]
) -> google.cloud.aiplatform_v1beta1.types.prediction_service.CountTokensResponse

Counts tokens.

See more: vertexai.preview.generative_models.GenerativeModel.count_tokens

vertexai.preview.generative_models.GenerativeModel.count_tokens_async

count_tokens_async(
    contents: typing.Union[
        typing.List[vertexai.generative_models._generative_models.Content],
        typing.List[typing.Dict[str, typing.Any]],
        str,
        vertexai.generative_models._generative_models.Image,
        vertexai.generative_models._generative_models.Part,
        typing.List[
            typing.Union[
                str,
                vertexai.generative_models._generative_models.Image,
                vertexai.generative_models._generative_models.Part,
            ]
        ],
    ]
) -> google.cloud.aiplatform_v1beta1.types.prediction_service.CountTokensResponse

Counts tokens asynchronously.

See more: vertexai.preview.generative_models.GenerativeModel.count_tokens_async

vertexai.preview.generative_models.GenerativeModel.generate_content

generate_content(
    contents: typing.Union[
        typing.List[vertexai.generative_models._generative_models.Content],
        typing.List[typing.Dict[str, typing.Any]],
        str,
        vertexai.generative_models._generative_models.Image,
        vertexai.generative_models._generative_models.Part,
        typing.List[
            typing.Union[
                str,
                vertexai.generative_models._generative_models.Image,
                vertexai.generative_models._generative_models.Part,
            ]
        ],
    ],
    *,
    generation_config: typing.Optional[
        typing.Union[
            vertexai.generative_models._generative_models.GenerationConfig,
            typing.Dict[str, typing.Any],
        ]
    ] = None,
    safety_settings: typing.Optional[
        typing.Union[
            typing.List[vertexai.generative_models._generative_models.SafetySetting],
            typing.Dict[
                google.cloud.aiplatform_v1beta1.types.content.HarmCategory,
                google.cloud.aiplatform_v1beta1.types.content.SafetySetting.HarmBlockThreshold,
            ],
        ]
    ] = None,
    tools: typing.Optional[
        typing.List[vertexai.generative_models._generative_models.Tool]
    ] = None,
    tool_config: typing.Optional[
        vertexai.generative_models._generative_models.ToolConfig
    ] = None,
    stream: bool = False
) -> typing.Union[
    vertexai.generative_models._generative_models.GenerationResponse,
    typing.Iterable[vertexai.generative_models._generative_models.GenerationResponse],
]

Generates content.

See more: vertexai.preview.generative_models.GenerativeModel.generate_content

vertexai.preview.generative_models.GenerativeModel.generate_content_async

generate_content_async(
    contents: typing.Union[
        typing.List[vertexai.generative_models._generative_models.Content],
        typing.List[typing.Dict[str, typing.Any]],
        str,
        vertexai.generative_models._generative_models.Image,
        vertexai.generative_models._generative_models.Part,
        typing.List[
            typing.Union[
                str,
                vertexai.generative_models._generative_models.Image,
                vertexai.generative_models._generative_models.Part,
            ]
        ],
    ],
    *,
    generation_config: typing.Optional[
        typing.Union[
            vertexai.generative_models._generative_models.GenerationConfig,
            typing.Dict[str, typing.Any],
        ]
    ] = None,
    safety_settings: typing.Optional[
        typing.Union[
            typing.List[vertexai.generative_models._generative_models.SafetySetting],
            typing.Dict[
                google.cloud.aiplatform_v1beta1.types.content.HarmCategory,
                google.cloud.aiplatform_v1beta1.types.content.SafetySetting.HarmBlockThreshold,
            ],
        ]
    ] = None,
    tools: typing.Optional[
        typing.List[vertexai.generative_models._generative_models.Tool]
    ] = None,
    tool_config: typing.Optional[
        vertexai.generative_models._generative_models.ToolConfig
    ] = None,
    stream: bool = False
) -> typing.Union[
    vertexai.generative_models._generative_models.GenerationResponse,
    typing.AsyncIterable[
        vertexai.generative_models._generative_models.GenerationResponse
    ],
]

Generates content asynchronously.

See more: vertexai.preview.generative_models.GenerativeModel.generate_content_async

vertexai.preview.generative_models.GenerativeModel.start_chat

start_chat(
    *,
    history: typing.Optional[
        typing.List[vertexai.generative_models._generative_models.Content]
    ] = None,
    response_validation: bool = True,
    responder: typing.Optional[
        vertexai.generative_models._generative_models.AutomaticFunctionCallingResponder
    ] = None
) -> vertexai.generative_models._generative_models.ChatSession

Creates a stateful chat session.

See more: vertexai.preview.generative_models.GenerativeModel.start_chat

vertexai.preview.generative_models.Image.from_bytes

from_bytes(data: bytes) -> vertexai.generative_models._generative_models.Image

Loads image from image bytes.

See more: vertexai.preview.generative_models.Image.from_bytes

vertexai.preview.generative_models.Image.load_from_file

load_from_file(
    location: str,
) -> vertexai.generative_models._generative_models.Image

Loads image from file.

See more: vertexai.preview.generative_models.Image.load_from_file

vertexai.preview.generative_models.ResponseBlockedError.with_traceback

Exception.with_traceback(tb) -- set self.traceback to tb and return self.

See more: vertexai.preview.generative_models.ResponseBlockedError.with_traceback

vertexai.preview.generative_models.ResponseValidationError.with_traceback

Exception.with_traceback(tb) -- set self.traceback to tb and return self.

See more: vertexai.preview.generative_models.ResponseValidationError.with_traceback

vertexai.preview.generative_models.SafetySetting

SafetySetting(
    *,
    category: google.cloud.aiplatform_v1beta1.types.content.HarmCategory,
    threshold: google.cloud.aiplatform_v1beta1.types.content.SafetySetting.HarmBlockThreshold,
    method: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.content.SafetySetting.HarmBlockMethod
    ] = None
)

Safety settings.

See more: vertexai.preview.generative_models.SafetySetting

vertexai.preview.generative_models.grounding.GoogleSearchRetrieval

GoogleSearchRetrieval(disable_attribution: typing.Optional[bool] = None)

Initializes a Google Search Retrieval tool.

See more: vertexai.preview.generative_models.grounding.GoogleSearchRetrieval

vertexai.preview.generative_models.grounding.Retrieval

Retrieval(
    source: vertexai.generative_models._generative_models.grounding.VertexAISearch,
    disable_attribution: typing.Optional[bool] = None,
)

Initializes a Retrieval tool.

See more: vertexai.preview.generative_models.grounding.Retrieval

vertexai.preview.generative_models.grounding.VertexAISearch

VertexAISearch(datastore: str)

Initializes a Vertex AI Search tool.

See more: vertexai.preview.generative_models.grounding.VertexAISearch

vertexai.preview.vision_models.GeneratedImage

GeneratedImage(
    image_bytes: typing.Optional[bytes],
    generation_parameters: typing.Dict[str, typing.Any],
    gcs_uri: typing.Optional[str] = None,
)

Creates a GeneratedImage object.

See more: vertexai.preview.vision_models.GeneratedImage

vertexai.preview.vision_models.GeneratedImage.load_from_file

load_from_file(location: str) -> vertexai.preview.vision_models.GeneratedImage

Loads image from file.

See more: vertexai.preview.vision_models.GeneratedImage.load_from_file

vertexai.preview.vision_models.GeneratedImage.save

save(location: str, include_generation_parameters: bool = True)

Saves image to a file.

See more: vertexai.preview.vision_models.GeneratedImage.save

vertexai.preview.vision_models.GeneratedImage.show

show()

Shows the image.

See more: vertexai.preview.vision_models.GeneratedImage.show

vertexai.preview.vision_models.Image

Image(
    image_bytes: typing.Optional[bytes] = None, gcs_uri: typing.Optional[str] = None
)

Creates an Image object.

See more: vertexai.preview.vision_models.Image

vertexai.preview.vision_models.Image.load_from_file

load_from_file(location: str) -> vertexai.vision_models.Image

Loads image from local file or Google Cloud Storage.

See more: vertexai.preview.vision_models.Image.load_from_file

vertexai.preview.vision_models.Image.save

save(location: str)

Saves image to a file.

See more: vertexai.preview.vision_models.Image.save

vertexai.preview.vision_models.Image.show

show()

Shows the image.

See more: vertexai.preview.vision_models.Image.show

vertexai.preview.vision_models.ImageCaptioningModel

ImageCaptioningModel(model_id: str, endpoint_name: typing.Optional[str] = None)

Creates a _ModelGardenModel.

See more: vertexai.preview.vision_models.ImageCaptioningModel

vertexai.preview.vision_models.ImageCaptioningModel.from_pretrained

from_pretrained(model_name: str) -> vertexai._model_garden._model_garden_models.T

Loads a _ModelGardenModel.

See more: vertexai.preview.vision_models.ImageCaptioningModel.from_pretrained

vertexai.preview.vision_models.ImageCaptioningModel.get_captions

get_captions(
    image: vertexai.vision_models.Image,
    *,
    number_of_results: int = 1,
    language: str = "en",
    output_gcs_uri: typing.Optional[str] = None
) -> typing.List[str]

Generates captions for a given image.

See more: vertexai.preview.vision_models.ImageCaptioningModel.get_captions

vertexai.preview.vision_models.ImageGenerationModel

ImageGenerationModel(model_id: str, endpoint_name: typing.Optional[str] = None)

Creates a _ModelGardenModel.

See more: vertexai.preview.vision_models.ImageGenerationModel

vertexai.preview.vision_models.ImageGenerationModel.edit_image

edit_image(
    *,
    prompt: str,
    base_image: vertexai.vision_models.Image,
    mask: typing.Optional[vertexai.vision_models.Image] = None,
    negative_prompt: typing.Optional[str] = None,
    number_of_images: int = 1,
    guidance_scale: typing.Optional[float] = None,
    edit_mode: typing.Optional[
        typing.Literal[
            "inpainting-insert", "inpainting-remove", "outpainting", "product-image"
        ]
    ] = None,
    mask_mode: typing.Optional[
        typing.Literal["background", "foreground", "semantic"]
    ] = None,
    segmentation_classes: typing.Optional[typing.List[str]] = None,
    mask_dilation: typing.Optional[float] = None,
    product_position: typing.Optional[typing.Literal["fixed", "reposition"]] = None,
    output_mime_type: typing.Optional[typing.Literal["image/png", "image/jpeg"]] = None,
    compression_quality: typing.Optional[float] = None,
    language: typing.Optional[str] = None,
    seed: typing.Optional[int] = None,
    output_gcs_uri: typing.Optional[str] = None,
    safety_filter_level: typing.Optional[
        typing.Literal["block_most", "block_some", "block_few", "block_fewest"]
    ] = None,
    person_generation: typing.Optional[
        typing.Literal["dont_allow", "allow_adult", "allow_all"]
    ] = None
) -> vertexai.preview.vision_models.ImageGenerationResponse

Edits an existing image based on text prompt.

See more: vertexai.preview.vision_models.ImageGenerationModel.edit_image

vertexai.preview.vision_models.ImageGenerationModel.from_pretrained

from_pretrained(model_name: str) -> vertexai._model_garden._model_garden_models.T

Loads a _ModelGardenModel.

See more: vertexai.preview.vision_models.ImageGenerationModel.from_pretrained

vertexai.preview.vision_models.ImageGenerationModel.generate_images

generate_images(
    prompt: str,
    *,
    negative_prompt: typing.Optional[str] = None,
    number_of_images: int = 1,
    aspect_ratio: typing.Optional[
        typing.Literal["1:1", "9:16", "16:9", "4;3", "3:4"]
    ] = None,
    guidance_scale: typing.Optional[float] = None,
    language: typing.Optional[str] = None,
    seed: typing.Optional[int] = None,
    output_gcs_uri: typing.Optional[str] = None,
    add_watermark: typing.Optional[bool] = True,
    safety_filter_level: typing.Optional[
        typing.Literal["block_most", "block_some", "block_few", "block_fewest"]
    ] = None,
    person_generation: typing.Optional[
        typing.Literal["dont_allow", "allow_adult", "allow_all"]
    ] = None
) -> vertexai.preview.vision_models.ImageGenerationResponse

Generates images from text prompt.

See more: vertexai.preview.vision_models.ImageGenerationModel.generate_images

vertexai.preview.vision_models.ImageGenerationModel.upscale_image

upscale_image(
    image: typing.Union[
        vertexai.vision_models.Image, vertexai.preview.vision_models.GeneratedImage
    ],
    new_size: typing.Optional[int] = 2048,
    output_gcs_uri: typing.Optional[str] = None,
) -> vertexai.vision_models.Image

Upscales an image.

See more: vertexai.preview.vision_models.ImageGenerationModel.upscale_image

vertexai.preview.vision_models.ImageGenerationResponse.__getitem__

__getitem__(idx: int) -> vertexai.preview.vision_models.GeneratedImage

Gets the generated image by index.

See more: vertexai.preview.vision_models.ImageGenerationResponse.getitem

vertexai.preview.vision_models.ImageGenerationResponse.__iter__

__iter__() -> typing.Iterator[vertexai.preview.vision_models.GeneratedImage]

Iterates through the generated images.

See more: vertexai.preview.vision_models.ImageGenerationResponse.iter

vertexai.preview.vision_models.ImageQnAModel

ImageQnAModel(model_id: str, endpoint_name: typing.Optional[str] = None)

Creates a _ModelGardenModel.

See more: vertexai.preview.vision_models.ImageQnAModel

vertexai.preview.vision_models.ImageQnAModel.ask_question

ask_question(
    image: vertexai.vision_models.Image, question: str, *, number_of_results: int = 1
) -> typing.List[str]

Answers questions about an image.

See more: vertexai.preview.vision_models.ImageQnAModel.ask_question

vertexai.preview.vision_models.ImageQnAModel.from_pretrained

from_pretrained(model_name: str) -> vertexai._model_garden._model_garden_models.T

Loads a _ModelGardenModel.

See more: vertexai.preview.vision_models.ImageQnAModel.from_pretrained

vertexai.preview.vision_models.ImageTextModel

ImageTextModel(model_id: str, endpoint_name: typing.Optional[str] = None)

Creates a _ModelGardenModel.

See more: vertexai.preview.vision_models.ImageTextModel

vertexai.preview.vision_models.ImageTextModel.ask_question

ask_question(
    image: vertexai.vision_models.Image, question: str, *, number_of_results: int = 1
) -> typing.List[str]

Answers questions about an image.

See more: vertexai.preview.vision_models.ImageTextModel.ask_question

vertexai.preview.vision_models.ImageTextModel.from_pretrained

from_pretrained(model_name: str) -> vertexai._model_garden._model_garden_models.T

Loads a _ModelGardenModel.

See more: vertexai.preview.vision_models.ImageTextModel.from_pretrained

vertexai.preview.vision_models.ImageTextModel.get_captions

get_captions(
    image: vertexai.vision_models.Image,
    *,
    number_of_results: int = 1,
    language: str = "en",
    output_gcs_uri: typing.Optional[str] = None
) -> typing.List[str]

Generates captions for a given image.

See more: vertexai.preview.vision_models.ImageTextModel.get_captions

vertexai.preview.vision_models.MultiModalEmbeddingModel

MultiModalEmbeddingModel(model_id: str, endpoint_name: typing.Optional[str] = None)

Creates a _ModelGardenModel.

See more: vertexai.preview.vision_models.MultiModalEmbeddingModel

vertexai.preview.vision_models.MultiModalEmbeddingModel.from_pretrained

from_pretrained(model_name: str) -> vertexai._model_garden._model_garden_models.T

Loads a _ModelGardenModel.

See more: vertexai.preview.vision_models.MultiModalEmbeddingModel.from_pretrained

vertexai.preview.vision_models.MultiModalEmbeddingModel.get_embeddings

get_embeddings(
    image: typing.Optional[vertexai.vision_models.Image] = None,
    video: typing.Optional[vertexai.vision_models.Video] = None,
    contextual_text: typing.Optional[str] = None,
    dimension: typing.Optional[int] = None,
    video_segment_config: typing.Optional[
        vertexai.vision_models.VideoSegmentConfig
    ] = None,
) -> vertexai.vision_models.MultiModalEmbeddingResponse

Gets embedding vectors from the provided image.

See more: vertexai.preview.vision_models.MultiModalEmbeddingModel.get_embeddings

vertexai.preview.vision_models.Video

Video(
    video_bytes: typing.Optional[bytes] = None, gcs_uri: typing.Optional[str] = None
)

Creates an Image object.

See more: vertexai.preview.vision_models.Video

vertexai.preview.vision_models.Video.load_from_file

load_from_file(location: str) -> vertexai.vision_models.Video

Loads video from local file or Google Cloud Storage.

See more: vertexai.preview.vision_models.Video.load_from_file

vertexai.preview.vision_models.Video.save

save(location: str)

Saves video to a file.

See more: vertexai.preview.vision_models.Video.save

vertexai.preview.vision_models.VideoEmbedding

VideoEmbedding(
    start_offset_sec: int, end_offset_sec: int, embedding: typing.List[float]
)

Creates a VideoEmbedding object.

See more: vertexai.preview.vision_models.VideoEmbedding

vertexai.preview.vision_models.VideoSegmentConfig

VideoSegmentConfig(
    start_offset_sec: int = 0, end_offset_sec: int = 120, interval_sec: int = 16
)

Creates a VideoSegmentConfig object.

See more: vertexai.preview.vision_models.VideoSegmentConfig

vertexai.preview.vision_models.WatermarkVerificationModel

WatermarkVerificationModel(
    model_id: str, endpoint_name: typing.Optional[str] = None
)

Creates a _ModelGardenModel.

See more: vertexai.preview.vision_models.WatermarkVerificationModel

vertexai.preview.vision_models.WatermarkVerificationModel.from_pretrained

from_pretrained(model_name: str) -> vertexai._model_garden._model_garden_models.T

Loads a _ModelGardenModel.

See more: vertexai.preview.vision_models.WatermarkVerificationModel.from_pretrained

vertexai.preview.vision_models.WatermarkVerificationModel.verify_image

verify_image(
    image: vertexai.vision_models.Image,
) -> vertexai.preview.vision_models.WatermarkVerificationResponse

Verifies the watermark of an image.

See more: vertexai.preview.vision_models.WatermarkVerificationModel.verify_image

vertexai.vision_models.Image

Image(
    image_bytes: typing.Optional[bytes] = None, gcs_uri: typing.Optional[str] = None
)

Creates an Image object.

See more: vertexai.vision_models.Image

vertexai.vision_models.Image.load_from_file

load_from_file(location: str) -> vertexai.vision_models.Image

Loads image from local file or Google Cloud Storage.

See more: vertexai.vision_models.Image.load_from_file

vertexai.vision_models.Image.save

save(location: str)

Saves image to a file.

See more: vertexai.vision_models.Image.save

vertexai.vision_models.Image.show

show()

Shows the image.

See more: vertexai.vision_models.Image.show

vertexai.vision_models.ImageCaptioningModel

ImageCaptioningModel(model_id: str, endpoint_name: typing.Optional[str] = None)

Creates a _ModelGardenModel.

See more: vertexai.vision_models.ImageCaptioningModel

vertexai.vision_models.ImageCaptioningModel.from_pretrained

from_pretrained(model_name: str) -> vertexai._model_garden._model_garden_models.T

Loads a _ModelGardenModel.

See more: vertexai.vision_models.ImageCaptioningModel.from_pretrained

vertexai.vision_models.ImageCaptioningModel.get_captions

get_captions(
    image: vertexai.vision_models.Image,
    *,
    number_of_results: int = 1,
    language: str = "en",
    output_gcs_uri: typing.Optional[str] = None
) -> typing.List[str]

Generates captions for a given image.

See more: vertexai.vision_models.ImageCaptioningModel.get_captions

vertexai.vision_models.ImageQnAModel

ImageQnAModel(model_id: str, endpoint_name: typing.Optional[str] = None)

Creates a _ModelGardenModel.

See more: vertexai.vision_models.ImageQnAModel

vertexai.vision_models.ImageQnAModel.ask_question

ask_question(
    image: vertexai.vision_models.Image, question: str, *, number_of_results: int = 1
) -> typing.List[str]

Answers questions about an image.

See more: vertexai.vision_models.ImageQnAModel.ask_question

vertexai.vision_models.ImageQnAModel.from_pretrained

from_pretrained(model_name: str) -> vertexai._model_garden._model_garden_models.T

Loads a _ModelGardenModel.

See more: vertexai.vision_models.ImageQnAModel.from_pretrained

vertexai.vision_models.ImageTextModel

ImageTextModel(model_id: str, endpoint_name: typing.Optional[str] = None)

Creates a _ModelGardenModel.

See more: vertexai.vision_models.ImageTextModel

vertexai.vision_models.ImageTextModel.ask_question

ask_question(
    image: vertexai.vision_models.Image, question: str, *, number_of_results: int = 1
) -> typing.List[str]

Answers questions about an image.

See more: vertexai.vision_models.ImageTextModel.ask_question

vertexai.vision_models.ImageTextModel.from_pretrained

from_pretrained(model_name: str) -> vertexai._model_garden._model_garden_models.T

Loads a _ModelGardenModel.

See more: vertexai.vision_models.ImageTextModel.from_pretrained

vertexai.vision_models.ImageTextModel.get_captions

get_captions(
    image: vertexai.vision_models.Image,
    *,
    number_of_results: int = 1,
    language: str = "en",
    output_gcs_uri: typing.Optional[str] = None
) -> typing.List[str]

Generates captions for a given image.

See more: vertexai.vision_models.ImageTextModel.get_captions

vertexai.vision_models.MultiModalEmbeddingModel

MultiModalEmbeddingModel(model_id: str, endpoint_name: typing.Optional[str] = None)

Creates a _ModelGardenModel.

See more: vertexai.vision_models.MultiModalEmbeddingModel

vertexai.vision_models.MultiModalEmbeddingModel.from_pretrained

from_pretrained(model_name: str) -> vertexai._model_garden._model_garden_models.T

Loads a _ModelGardenModel.

See more: vertexai.vision_models.MultiModalEmbeddingModel.from_pretrained

vertexai.vision_models.MultiModalEmbeddingModel.get_embeddings

get_embeddings(
    image: typing.Optional[vertexai.vision_models.Image] = None,
    video: typing.Optional[vertexai.vision_models.Video] = None,
    contextual_text: typing.Optional[str] = None,
    dimension: typing.Optional[int] = None,
    video_segment_config: typing.Optional[
        vertexai.vision_models.VideoSegmentConfig
    ] = None,
) -> vertexai.vision_models.MultiModalEmbeddingResponse

Gets embedding vectors from the provided image.

See more: vertexai.vision_models.MultiModalEmbeddingModel.get_embeddings

vertexai.vision_models.Video

Video(
    video_bytes: typing.Optional[bytes] = None, gcs_uri: typing.Optional[str] = None
)

Creates an Image object.

See more: vertexai.vision_models.Video

vertexai.vision_models.Video.load_from_file

load_from_file(location: str) -> vertexai.vision_models.Video

Loads video from local file or Google Cloud Storage.

See more: vertexai.vision_models.Video.load_from_file

vertexai.vision_models.Video.save

save(location: str)

Saves video to a file.

See more: vertexai.vision_models.Video.save

vertexai.vision_models.VideoEmbedding

VideoEmbedding(
    start_offset_sec: int, end_offset_sec: int, embedding: typing.List[float]
)

Creates a VideoEmbedding object.

See more: vertexai.vision_models.VideoEmbedding

vertexai.vision_models.VideoSegmentConfig

VideoSegmentConfig(
    start_offset_sec: int = 0, end_offset_sec: int = 120, interval_sec: int = 16
)

Creates a VideoSegmentConfig object.

See more: vertexai.vision_models.VideoSegmentConfig