Package Methods (2.13.4)

Version 2.13.4

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Summary of entries of Methods for automl.

google.cloud.automl_v1beta1.services.tables.tables_client.to_proto_value

to_proto_value(value)

translates a Python value to a google.protobuf.Value.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.to_proto_value

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient

AutoMlAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.automl_v1.services.auto_ml.transports.base.AutoMlTransport, typing.Callable[[...], google.cloud.automl_v1.services.auto_ml.transports.base.AutoMlTransport]]] = '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 auto ml async client.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.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.automl_v1.services.auto_ml.AutoMlAsyncClient.annotation_spec_path

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.common_billing_account_path

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.common_folder_path

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.common_location_path

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.common_organization_path

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.common_project_path

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.create_dataset

create_dataset(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.service.CreateDatasetRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    dataset: typing.Optional[google.cloud.automl_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.automl_v1.services.auto_ml.AutoMlAsyncClient.create_dataset

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.create_model

create_model(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.service.CreateModelRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    model: typing.Optional[google.cloud.automl_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

Creates a model.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.create_model

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.dataset_path

dataset_path(project: str, location: str, dataset: str) -> str

Returns a fully-qualified dataset string.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.dataset_path

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.delete_dataset

delete_dataset(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.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 and all of its contents.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.delete_dataset

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.delete_model

delete_model(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.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.automl_v1.services.auto_ml.AutoMlAsyncClient.delete_model

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.deploy_model

deploy_model(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.service.DeployModelRequest, 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

Deploys a model.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.deploy_model

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.export_data

export_data(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.service.ExportDataRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    output_config: typing.Optional[google.cloud.automl_v1.types.io.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 dataset's data to the provided output location.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.export_data

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.export_model

export_model(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.service.ExportModelRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    output_config: typing.Optional[
        google.cloud.automl_v1.types.io.ModelExportOutputConfig
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.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, "export-able", model to a user specified Google Cloud Storage location.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.export_model

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.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.automl_v1.services.auto_ml.AutoMlAsyncClient.from_service_account_file

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.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.automl_v1.services.auto_ml.AutoMlAsyncClient.from_service_account_info

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.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.automl_v1.services.auto_ml.AutoMlAsyncClient.from_service_account_json

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.get_annotation_spec

get_annotation_spec(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1.types.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.automl_v1.types.annotation_spec.AnnotationSpec

Gets an annotation spec.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.get_annotation_spec

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.get_dataset

get_dataset(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.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.automl_v1.types.dataset.Dataset

Gets a dataset.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.get_dataset

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.get_model

get_model(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.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.automl_v1.types.model.Model

Gets a model.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.get_model

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.get_model_evaluation

get_model_evaluation(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1.types.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.automl_v1.types.model_evaluation.ModelEvaluation

Gets a model evaluation.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.get_model_evaluation

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.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.automl_v1.services.auto_ml.AutoMlAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[google.cloud.automl_v1.services.auto_ml.transports.base.AutoMlTransport]
)

Returns an appropriate transport class.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.get_transport_class

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.import_data

import_data(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.service.ImportDataRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    input_config: typing.Optional[google.cloud.automl_v1.types.io.InputConfig] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.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.automl_v1.services.auto_ml.AutoMlAsyncClient.import_data

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.list_datasets

list_datasets(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.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.automl_v1.services.auto_ml.pagers.ListDatasetsAsyncPager

Lists datasets in a project.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.list_datasets

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.list_model_evaluations

list_model_evaluations(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1.types.service.ListModelEvaluationsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    filter: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.automl_v1.services.auto_ml.pagers.ListModelEvaluationsAsyncPager

Lists model evaluations.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.list_model_evaluations

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.list_models

list_models(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.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.automl_v1.services.auto_ml.pagers.ListModelsAsyncPager

Lists models.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.list_models

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.model_evaluation_path

model_evaluation_path(
    project: str, location: str, model: str, model_evaluation: str
) -> str

Returns a fully-qualified model_evaluation string.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.model_evaluation_path

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.model_path

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.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.automl_v1.services.auto_ml.AutoMlAsyncClient.parse_annotation_spec_path

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.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.automl_v1.services.auto_ml.AutoMlAsyncClient.parse_common_billing_account_path

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.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.automl_v1.services.auto_ml.AutoMlAsyncClient.parse_common_folder_path

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.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.automl_v1.services.auto_ml.AutoMlAsyncClient.parse_common_location_path

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.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.automl_v1.services.auto_ml.AutoMlAsyncClient.parse_common_organization_path

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.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.automl_v1.services.auto_ml.AutoMlAsyncClient.parse_common_project_path

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.parse_dataset_path

parse_dataset_path(path: str) -> typing.Dict[str, str]

Parses a dataset path into its component segments.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.parse_dataset_path

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.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.automl_v1.services.auto_ml.AutoMlAsyncClient.parse_model_evaluation_path

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.parse_model_path

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.undeploy_model

undeploy_model(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.service.UndeployModelRequest, 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

Undeploys a model.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.undeploy_model

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.update_dataset

update_dataset(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.service.UpdateDatasetRequest, dict]
    ] = None,
    *,
    dataset: typing.Optional[google.cloud.automl_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.automl_v1.types.dataset.Dataset

Updates a dataset.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.update_dataset

google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.update_model

update_model(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.service.UpdateModelRequest, dict]
    ] = None,
    *,
    model: typing.Optional[google.cloud.automl_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.automl_v1.types.model.Model

Updates a model.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlAsyncClient.update_model

google.cloud.automl_v1.services.auto_ml.AutoMlClient

AutoMlClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.automl_v1.services.auto_ml.transports.base.AutoMlTransport, typing.Callable[[...], google.cloud.automl_v1.services.auto_ml.transports.base.AutoMlTransport]]] = 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 auto ml client.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient

google.cloud.automl_v1.services.auto_ml.AutoMlClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.exit

google.cloud.automl_v1.services.auto_ml.AutoMlClient.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.automl_v1.services.auto_ml.AutoMlClient.annotation_spec_path

google.cloud.automl_v1.services.auto_ml.AutoMlClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.common_billing_account_path

google.cloud.automl_v1.services.auto_ml.AutoMlClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.common_folder_path

google.cloud.automl_v1.services.auto_ml.AutoMlClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.common_location_path

google.cloud.automl_v1.services.auto_ml.AutoMlClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.common_organization_path

google.cloud.automl_v1.services.auto_ml.AutoMlClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.common_project_path

google.cloud.automl_v1.services.auto_ml.AutoMlClient.create_dataset

create_dataset(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.service.CreateDatasetRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    dataset: typing.Optional[google.cloud.automl_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.automl_v1.services.auto_ml.AutoMlClient.create_dataset

google.cloud.automl_v1.services.auto_ml.AutoMlClient.create_model

create_model(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.service.CreateModelRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    model: typing.Optional[google.cloud.automl_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

Creates a model.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.create_model

google.cloud.automl_v1.services.auto_ml.AutoMlClient.dataset_path

dataset_path(project: str, location: str, dataset: str) -> str

Returns a fully-qualified dataset string.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.dataset_path

google.cloud.automl_v1.services.auto_ml.AutoMlClient.delete_dataset

delete_dataset(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.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 and all of its contents.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.delete_dataset

google.cloud.automl_v1.services.auto_ml.AutoMlClient.delete_model

delete_model(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.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.automl_v1.services.auto_ml.AutoMlClient.delete_model

google.cloud.automl_v1.services.auto_ml.AutoMlClient.deploy_model

deploy_model(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.service.DeployModelRequest, 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

Deploys a model.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.deploy_model

google.cloud.automl_v1.services.auto_ml.AutoMlClient.export_data

export_data(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.service.ExportDataRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    output_config: typing.Optional[google.cloud.automl_v1.types.io.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 dataset's data to the provided output location.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.export_data

google.cloud.automl_v1.services.auto_ml.AutoMlClient.export_model

export_model(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.service.ExportModelRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    output_config: typing.Optional[
        google.cloud.automl_v1.types.io.ModelExportOutputConfig
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.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, "export-able", model to a user specified Google Cloud Storage location.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.export_model

google.cloud.automl_v1.services.auto_ml.AutoMlClient.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.automl_v1.services.auto_ml.AutoMlClient.from_service_account_file

google.cloud.automl_v1.services.auto_ml.AutoMlClient.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.automl_v1.services.auto_ml.AutoMlClient.from_service_account_info

google.cloud.automl_v1.services.auto_ml.AutoMlClient.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.automl_v1.services.auto_ml.AutoMlClient.from_service_account_json

google.cloud.automl_v1.services.auto_ml.AutoMlClient.get_annotation_spec

get_annotation_spec(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1.types.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.automl_v1.types.annotation_spec.AnnotationSpec

Gets an annotation spec.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.get_annotation_spec

google.cloud.automl_v1.services.auto_ml.AutoMlClient.get_dataset

get_dataset(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.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.automl_v1.types.dataset.Dataset

Gets a dataset.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.get_dataset

google.cloud.automl_v1.services.auto_ml.AutoMlClient.get_model

get_model(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.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.automl_v1.types.model.Model

Gets a model.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.get_model

google.cloud.automl_v1.services.auto_ml.AutoMlClient.get_model_evaluation

get_model_evaluation(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1.types.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.automl_v1.types.model_evaluation.ModelEvaluation

Gets a model evaluation.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.get_model_evaluation

google.cloud.automl_v1.services.auto_ml.AutoMlClient.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.automl_v1.services.auto_ml.AutoMlClient.get_mtls_endpoint_and_cert_source

google.cloud.automl_v1.services.auto_ml.AutoMlClient.import_data

import_data(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.service.ImportDataRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    input_config: typing.Optional[google.cloud.automl_v1.types.io.InputConfig] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.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.automl_v1.services.auto_ml.AutoMlClient.import_data

google.cloud.automl_v1.services.auto_ml.AutoMlClient.list_datasets

list_datasets(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.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.automl_v1.services.auto_ml.pagers.ListDatasetsPager

Lists datasets in a project.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.list_datasets

google.cloud.automl_v1.services.auto_ml.AutoMlClient.list_model_evaluations

list_model_evaluations(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1.types.service.ListModelEvaluationsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    filter: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.automl_v1.services.auto_ml.pagers.ListModelEvaluationsPager

Lists model evaluations.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.list_model_evaluations

google.cloud.automl_v1.services.auto_ml.AutoMlClient.list_models

list_models(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.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.automl_v1.services.auto_ml.pagers.ListModelsPager

Lists models.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.list_models

google.cloud.automl_v1.services.auto_ml.AutoMlClient.model_evaluation_path

model_evaluation_path(
    project: str, location: str, model: str, model_evaluation: str
) -> str

Returns a fully-qualified model_evaluation string.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.model_evaluation_path

google.cloud.automl_v1.services.auto_ml.AutoMlClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.model_path

google.cloud.automl_v1.services.auto_ml.AutoMlClient.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.automl_v1.services.auto_ml.AutoMlClient.parse_annotation_spec_path

google.cloud.automl_v1.services.auto_ml.AutoMlClient.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.automl_v1.services.auto_ml.AutoMlClient.parse_common_billing_account_path

google.cloud.automl_v1.services.auto_ml.AutoMlClient.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.automl_v1.services.auto_ml.AutoMlClient.parse_common_folder_path

google.cloud.automl_v1.services.auto_ml.AutoMlClient.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.automl_v1.services.auto_ml.AutoMlClient.parse_common_location_path

google.cloud.automl_v1.services.auto_ml.AutoMlClient.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.automl_v1.services.auto_ml.AutoMlClient.parse_common_organization_path

google.cloud.automl_v1.services.auto_ml.AutoMlClient.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.automl_v1.services.auto_ml.AutoMlClient.parse_common_project_path

google.cloud.automl_v1.services.auto_ml.AutoMlClient.parse_dataset_path

parse_dataset_path(path: str) -> typing.Dict[str, str]

Parses a dataset path into its component segments.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.parse_dataset_path

google.cloud.automl_v1.services.auto_ml.AutoMlClient.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.automl_v1.services.auto_ml.AutoMlClient.parse_model_evaluation_path

google.cloud.automl_v1.services.auto_ml.AutoMlClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.parse_model_path

google.cloud.automl_v1.services.auto_ml.AutoMlClient.undeploy_model

undeploy_model(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.service.UndeployModelRequest, 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

Undeploys a model.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.undeploy_model

google.cloud.automl_v1.services.auto_ml.AutoMlClient.update_dataset

update_dataset(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.service.UpdateDatasetRequest, dict]
    ] = None,
    *,
    dataset: typing.Optional[google.cloud.automl_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.automl_v1.types.dataset.Dataset

Updates a dataset.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.update_dataset

google.cloud.automl_v1.services.auto_ml.AutoMlClient.update_model

update_model(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1.types.service.UpdateModelRequest, dict]
    ] = None,
    *,
    model: typing.Optional[google.cloud.automl_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.automl_v1.types.model.Model

Updates a model.

See more: google.cloud.automl_v1.services.auto_ml.AutoMlClient.update_model

google.cloud.automl_v1.services.auto_ml.pagers.ListDatasetsAsyncPager

ListDatasetsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[google.cloud.automl_v1.types.service.ListDatasetsResponse],
    ],
    request: google.cloud.automl_v1.types.service.ListDatasetsRequest,
    response: google.cloud.automl_v1.types.service.ListDatasetsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.automl_v1.services.auto_ml.pagers.ListDatasetsAsyncPager

google.cloud.automl_v1.services.auto_ml.pagers.ListDatasetsPager

ListDatasetsPager(
    method: typing.Callable[
        [...], google.cloud.automl_v1.types.service.ListDatasetsResponse
    ],
    request: google.cloud.automl_v1.types.service.ListDatasetsRequest,
    response: google.cloud.automl_v1.types.service.ListDatasetsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.automl_v1.services.auto_ml.pagers.ListDatasetsPager

google.cloud.automl_v1.services.auto_ml.pagers.ListModelEvaluationsAsyncPager

ListModelEvaluationsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.automl_v1.types.service.ListModelEvaluationsResponse
        ],
    ],
    request: google.cloud.automl_v1.types.service.ListModelEvaluationsRequest,
    response: google.cloud.automl_v1.types.service.ListModelEvaluationsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.automl_v1.services.auto_ml.pagers.ListModelEvaluationsAsyncPager

google.cloud.automl_v1.services.auto_ml.pagers.ListModelEvaluationsPager

ListModelEvaluationsPager(
    method: typing.Callable[
        [...], google.cloud.automl_v1.types.service.ListModelEvaluationsResponse
    ],
    request: google.cloud.automl_v1.types.service.ListModelEvaluationsRequest,
    response: google.cloud.automl_v1.types.service.ListModelEvaluationsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.automl_v1.services.auto_ml.pagers.ListModelEvaluationsPager

google.cloud.automl_v1.services.auto_ml.pagers.ListModelsAsyncPager

ListModelsAsyncPager(
    method: typing.Callable[
        [...], typing.Awaitable[google.cloud.automl_v1.types.service.ListModelsResponse]
    ],
    request: google.cloud.automl_v1.types.service.ListModelsRequest,
    response: google.cloud.automl_v1.types.service.ListModelsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.automl_v1.services.auto_ml.pagers.ListModelsAsyncPager

google.cloud.automl_v1.services.auto_ml.pagers.ListModelsPager

ListModelsPager(
    method: typing.Callable[
        [...], google.cloud.automl_v1.types.service.ListModelsResponse
    ],
    request: google.cloud.automl_v1.types.service.ListModelsRequest,
    response: google.cloud.automl_v1.types.service.ListModelsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.automl_v1.services.auto_ml.pagers.ListModelsPager

google.cloud.automl_v1.services.prediction_service.PredictionServiceAsyncClient

PredictionServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.automl_v1.services.prediction_service.transports.base.PredictionServiceTransport, typing.Callable[[...], google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceAsyncClient

google.cloud.automl_v1.services.prediction_service.PredictionServiceAsyncClient.batch_predict

batch_predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1.types.prediction_service.BatchPredictRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    input_config: typing.Optional[
        google.cloud.automl_v1.types.io.BatchPredictInputConfig
    ] = None,
    output_config: typing.Optional[
        google.cloud.automl_v1.types.io.BatchPredictOutputConfig
    ] = None,
    params: typing.Optional[typing.MutableMapping[str, str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.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

Perform a batch prediction.

See more: google.cloud.automl_v1.services.prediction_service.PredictionServiceAsyncClient.batch_predict

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceAsyncClient.common_billing_account_path

google.cloud.automl_v1.services.prediction_service.PredictionServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.automl_v1.services.prediction_service.PredictionServiceAsyncClient.common_folder_path

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceAsyncClient.common_location_path

google.cloud.automl_v1.services.prediction_service.PredictionServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.automl_v1.services.prediction_service.PredictionServiceAsyncClient.common_organization_path

google.cloud.automl_v1.services.prediction_service.PredictionServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.automl_v1.services.prediction_service.PredictionServiceAsyncClient.common_project_path

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceAsyncClient.from_service_account_file

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceAsyncClient.from_service_account_info

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceAsyncClient.from_service_account_json

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.automl_v1.services.prediction_service.PredictionServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.automl_v1.services.prediction_service.transports.base.PredictionServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.automl_v1.services.prediction_service.PredictionServiceAsyncClient.get_transport_class

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceAsyncClient.model_path

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceAsyncClient.parse_common_billing_account_path

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceAsyncClient.parse_common_folder_path

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceAsyncClient.parse_common_location_path

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceAsyncClient.parse_common_organization_path

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceAsyncClient.parse_common_project_path

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceAsyncClient.parse_model_path

google.cloud.automl_v1.services.prediction_service.PredictionServiceAsyncClient.predict

predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1.types.prediction_service.PredictRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    payload: typing.Optional[
        google.cloud.automl_v1.types.data_items.ExamplePayload
    ] = None,
    params: typing.Optional[typing.MutableMapping[str, str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.automl_v1.types.prediction_service.PredictResponse

Perform an online prediction.

See more: google.cloud.automl_v1.services.prediction_service.PredictionServiceAsyncClient.predict

google.cloud.automl_v1.services.prediction_service.PredictionServiceClient

PredictionServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.automl_v1.services.prediction_service.transports.base.PredictionServiceTransport, typing.Callable[[...], google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceClient

google.cloud.automl_v1.services.prediction_service.PredictionServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.automl_v1.services.prediction_service.PredictionServiceClient.exit

google.cloud.automl_v1.services.prediction_service.PredictionServiceClient.batch_predict

batch_predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1.types.prediction_service.BatchPredictRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    input_config: typing.Optional[
        google.cloud.automl_v1.types.io.BatchPredictInputConfig
    ] = None,
    output_config: typing.Optional[
        google.cloud.automl_v1.types.io.BatchPredictOutputConfig
    ] = None,
    params: typing.Optional[typing.MutableMapping[str, str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.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

Perform a batch prediction.

See more: google.cloud.automl_v1.services.prediction_service.PredictionServiceClient.batch_predict

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceClient.common_billing_account_path

google.cloud.automl_v1.services.prediction_service.PredictionServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.automl_v1.services.prediction_service.PredictionServiceClient.common_folder_path

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceClient.common_location_path

google.cloud.automl_v1.services.prediction_service.PredictionServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.automl_v1.services.prediction_service.PredictionServiceClient.common_organization_path

google.cloud.automl_v1.services.prediction_service.PredictionServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.automl_v1.services.prediction_service.PredictionServiceClient.common_project_path

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceClient.from_service_account_file

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceClient.from_service_account_info

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceClient.from_service_account_json

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceClient.model_path

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceClient.parse_common_billing_account_path

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceClient.parse_common_folder_path

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceClient.parse_common_location_path

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceClient.parse_common_organization_path

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceClient.parse_common_project_path

google.cloud.automl_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.automl_v1.services.prediction_service.PredictionServiceClient.parse_model_path

google.cloud.automl_v1.services.prediction_service.PredictionServiceClient.predict

predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1.types.prediction_service.PredictRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    payload: typing.Optional[
        google.cloud.automl_v1.types.data_items.ExamplePayload
    ] = None,
    params: typing.Optional[typing.MutableMapping[str, str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.automl_v1.types.prediction_service.PredictResponse

Perform an online prediction.

See more: google.cloud.automl_v1.services.prediction_service.PredictionServiceClient.predict

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient

AutoMlAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.automl_v1beta1.services.auto_ml.transports.base.AutoMlTransport, typing.Callable[[...], google.cloud.automl_v1beta1.services.auto_ml.transports.base.AutoMlTransport]]] = '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 auto ml async client.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.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.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.annotation_spec_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.column_spec_path

column_spec_path(
    project: str, location: str, dataset: str, table_spec: str, column_spec: str
) -> str

Returns a fully-qualified column_spec string.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.column_spec_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.common_billing_account_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.common_folder_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.common_location_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.common_organization_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.common_project_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.create_dataset

create_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.service.CreateDatasetRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    dataset: typing.Optional[google.cloud.automl_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.cloud.automl_v1beta1.types.dataset.Dataset

Creates a dataset.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.create_dataset

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.create_model

create_model(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1beta1.types.service.CreateModelRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    model: typing.Optional[google.cloud.automl_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

Creates a model.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.create_model

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.dataset_path

dataset_path(project: str, location: str, dataset: str) -> str

Returns a fully-qualified dataset string.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.dataset_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.delete_dataset

delete_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.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 and all of its contents.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.delete_dataset

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.delete_model

delete_model(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1beta1.types.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.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.delete_model

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.deploy_model

deploy_model(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1beta1.types.service.DeployModelRequest, 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

Deploys a model.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.deploy_model

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.export_data

export_data(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1beta1.types.service.ExportDataRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    output_config: typing.Optional[
        google.cloud.automl_v1beta1.types.io.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 dataset's data to the provided output location.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.export_data

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.export_evaluated_examples

export_evaluated_examples(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.service.ExportEvaluatedExamplesRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    output_config: typing.Optional[
        google.cloud.automl_v1beta1.types.io.ExportEvaluatedExamplesOutputConfig
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.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 examples on which the model was evaluated (i.e.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.export_evaluated_examples

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.export_model

export_model(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1beta1.types.service.ExportModelRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    output_config: typing.Optional[
        google.cloud.automl_v1beta1.types.io.ModelExportOutputConfig
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.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, "export-able", model to a user specified Google Cloud Storage location.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.export_model

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.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.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.from_service_account_file

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.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.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.from_service_account_info

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.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.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.from_service_account_json

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.get_annotation_spec

get_annotation_spec(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.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.automl_v1beta1.types.annotation_spec.AnnotationSpec

Gets an annotation spec.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.get_annotation_spec

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.get_column_spec

get_column_spec(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.service.GetColumnSpecRequest, 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.automl_v1beta1.types.column_spec.ColumnSpec

Gets a column spec.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.get_column_spec

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.get_dataset

get_dataset(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1beta1.types.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.automl_v1beta1.types.dataset.Dataset

Gets a dataset.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.get_dataset

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.get_model

get_model(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1beta1.types.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.automl_v1beta1.types.model.Model

Gets a model.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.get_model

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.get_model_evaluation

get_model_evaluation(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.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.automl_v1beta1.types.model_evaluation.ModelEvaluation

Gets a model evaluation.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.get_model_evaluation

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.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.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.get_table_spec

get_table_spec(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.service.GetTableSpecRequest, 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.automl_v1beta1.types.table_spec.TableSpec

Gets a table spec.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.get_table_spec

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.automl_v1beta1.services.auto_ml.transports.base.AutoMlTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.get_transport_class

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.import_data

import_data(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1beta1.types.service.ImportDataRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    input_config: typing.Optional[
        google.cloud.automl_v1beta1.types.io.InputConfig
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.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.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.import_data

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.list_column_specs

list_column_specs(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.service.ListColumnSpecsRequest, 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.automl_v1beta1.services.auto_ml.pagers.ListColumnSpecsAsyncPager

Lists column specs in a table spec.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.list_column_specs

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.list_datasets

list_datasets(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.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.automl_v1beta1.services.auto_ml.pagers.ListDatasetsAsyncPager

Lists datasets in a project.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.list_datasets

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.list_model_evaluations

list_model_evaluations(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.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.automl_v1beta1.services.auto_ml.pagers.ListModelEvaluationsAsyncPager

Lists model evaluations.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.list_model_evaluations

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.list_models

list_models(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1beta1.types.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.automl_v1beta1.services.auto_ml.pagers.ListModelsAsyncPager

Lists models.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.list_models

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.list_table_specs

list_table_specs(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.service.ListTableSpecsRequest, 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.automl_v1beta1.services.auto_ml.pagers.ListTableSpecsAsyncPager

Lists table specs in a dataset.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.list_table_specs

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.model_evaluation_path

model_evaluation_path(
    project: str, location: str, model: str, model_evaluation: str
) -> str

Returns a fully-qualified model_evaluation string.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.model_evaluation_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.model_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.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.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.parse_annotation_spec_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.parse_column_spec_path

parse_column_spec_path(path: str) -> typing.Dict[str, str]

Parses a column_spec path into its component segments.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.parse_column_spec_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.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.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.parse_common_billing_account_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.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.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.parse_common_folder_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.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.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.parse_common_location_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.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.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.parse_common_organization_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.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.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.parse_common_project_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.parse_dataset_path

parse_dataset_path(path: str) -> typing.Dict[str, str]

Parses a dataset path into its component segments.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.parse_dataset_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.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.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.parse_model_evaluation_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.parse_model_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.parse_table_spec_path

parse_table_spec_path(path: str) -> typing.Dict[str, str]

Parses a table_spec path into its component segments.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.parse_table_spec_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.table_spec_path

table_spec_path(project: str, location: str, dataset: str, table_spec: str) -> str

Returns a fully-qualified table_spec string.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.table_spec_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.undeploy_model

undeploy_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.service.UndeployModelRequest, 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

Undeploys a model.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.undeploy_model

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.update_column_spec

update_column_spec(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.service.UpdateColumnSpecRequest, dict
        ]
    ] = None,
    *,
    column_spec: typing.Optional[
        google.cloud.automl_v1beta1.types.column_spec.ColumnSpec
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.automl_v1beta1.types.column_spec.ColumnSpec

Updates a column spec.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.update_column_spec

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.update_dataset

update_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.service.UpdateDatasetRequest, dict
        ]
    ] = None,
    *,
    dataset: typing.Optional[google.cloud.automl_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.cloud.automl_v1beta1.types.dataset.Dataset

Updates a dataset.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.update_dataset

google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.update_table_spec

update_table_spec(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.service.UpdateTableSpecRequest, dict
        ]
    ] = None,
    *,
    table_spec: typing.Optional[
        google.cloud.automl_v1beta1.types.table_spec.TableSpec
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.automl_v1beta1.types.table_spec.TableSpec

Updates a table spec.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlAsyncClient.update_table_spec

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient

AutoMlClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.automl_v1beta1.services.auto_ml.transports.base.AutoMlTransport, typing.Callable[[...], google.cloud.automl_v1beta1.services.auto_ml.transports.base.AutoMlTransport]]] = 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 auto ml client.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.exit

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.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.automl_v1beta1.services.auto_ml.AutoMlClient.annotation_spec_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.column_spec_path

column_spec_path(
    project: str, location: str, dataset: str, table_spec: str, column_spec: str
) -> str

Returns a fully-qualified column_spec string.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.column_spec_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.common_billing_account_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.common_folder_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.common_location_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.common_organization_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.common_project_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.create_dataset

create_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.service.CreateDatasetRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    dataset: typing.Optional[google.cloud.automl_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.cloud.automl_v1beta1.types.dataset.Dataset

Creates a dataset.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.create_dataset

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.create_model

create_model(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1beta1.types.service.CreateModelRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    model: typing.Optional[google.cloud.automl_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

Creates a model.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.create_model

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.dataset_path

dataset_path(project: str, location: str, dataset: str) -> str

Returns a fully-qualified dataset string.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.dataset_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.delete_dataset

delete_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.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 and all of its contents.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.delete_dataset

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.delete_model

delete_model(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1beta1.types.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.automl_v1beta1.services.auto_ml.AutoMlClient.delete_model

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.deploy_model

deploy_model(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1beta1.types.service.DeployModelRequest, 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

Deploys a model.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.deploy_model

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.export_data

export_data(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1beta1.types.service.ExportDataRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    output_config: typing.Optional[
        google.cloud.automl_v1beta1.types.io.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 dataset's data to the provided output location.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.export_data

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.export_evaluated_examples

export_evaluated_examples(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.service.ExportEvaluatedExamplesRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    output_config: typing.Optional[
        google.cloud.automl_v1beta1.types.io.ExportEvaluatedExamplesOutputConfig
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.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 examples on which the model was evaluated (i.e.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.export_evaluated_examples

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.export_model

export_model(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1beta1.types.service.ExportModelRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    output_config: typing.Optional[
        google.cloud.automl_v1beta1.types.io.ModelExportOutputConfig
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.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, "export-able", model to a user specified Google Cloud Storage location.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.export_model

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.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.automl_v1beta1.services.auto_ml.AutoMlClient.from_service_account_file

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.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.automl_v1beta1.services.auto_ml.AutoMlClient.from_service_account_info

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.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.automl_v1beta1.services.auto_ml.AutoMlClient.from_service_account_json

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.get_annotation_spec

get_annotation_spec(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.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.automl_v1beta1.types.annotation_spec.AnnotationSpec

Gets an annotation spec.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.get_annotation_spec

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.get_column_spec

get_column_spec(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.service.GetColumnSpecRequest, 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.automl_v1beta1.types.column_spec.ColumnSpec

Gets a column spec.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.get_column_spec

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.get_dataset

get_dataset(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1beta1.types.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.automl_v1beta1.types.dataset.Dataset

Gets a dataset.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.get_dataset

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.get_model

get_model(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1beta1.types.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.automl_v1beta1.types.model.Model

Gets a model.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.get_model

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.get_model_evaluation

get_model_evaluation(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.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.automl_v1beta1.types.model_evaluation.ModelEvaluation

Gets a model evaluation.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.get_model_evaluation

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.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.automl_v1beta1.services.auto_ml.AutoMlClient.get_mtls_endpoint_and_cert_source

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.get_table_spec

get_table_spec(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.service.GetTableSpecRequest, 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.automl_v1beta1.types.table_spec.TableSpec

Gets a table spec.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.get_table_spec

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.import_data

import_data(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1beta1.types.service.ImportDataRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    input_config: typing.Optional[
        google.cloud.automl_v1beta1.types.io.InputConfig
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.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.automl_v1beta1.services.auto_ml.AutoMlClient.import_data

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.list_column_specs

list_column_specs(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.service.ListColumnSpecsRequest, 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.automl_v1beta1.services.auto_ml.pagers.ListColumnSpecsPager

Lists column specs in a table spec.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.list_column_specs

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.list_datasets

list_datasets(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.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.automl_v1beta1.services.auto_ml.pagers.ListDatasetsPager

Lists datasets in a project.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.list_datasets

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.list_model_evaluations

list_model_evaluations(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.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.automl_v1beta1.services.auto_ml.pagers.ListModelEvaluationsPager

Lists model evaluations.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.list_model_evaluations

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.list_models

list_models(
    request: typing.Optional[
        typing.Union[google.cloud.automl_v1beta1.types.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.automl_v1beta1.services.auto_ml.pagers.ListModelsPager

Lists models.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.list_models

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.list_table_specs

list_table_specs(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.service.ListTableSpecsRequest, 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.automl_v1beta1.services.auto_ml.pagers.ListTableSpecsPager

Lists table specs in a dataset.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.list_table_specs

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.model_evaluation_path

model_evaluation_path(
    project: str, location: str, model: str, model_evaluation: str
) -> str

Returns a fully-qualified model_evaluation string.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.model_evaluation_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.model_path

model_path(project: str, location: str, model: str) -> str

Returns a fully-qualified model string.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.model_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.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.automl_v1beta1.services.auto_ml.AutoMlClient.parse_annotation_spec_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.parse_column_spec_path

parse_column_spec_path(path: str) -> typing.Dict[str, str]

Parses a column_spec path into its component segments.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.parse_column_spec_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.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.automl_v1beta1.services.auto_ml.AutoMlClient.parse_common_billing_account_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.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.automl_v1beta1.services.auto_ml.AutoMlClient.parse_common_folder_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.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.automl_v1beta1.services.auto_ml.AutoMlClient.parse_common_location_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.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.automl_v1beta1.services.auto_ml.AutoMlClient.parse_common_organization_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.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.automl_v1beta1.services.auto_ml.AutoMlClient.parse_common_project_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.parse_dataset_path

parse_dataset_path(path: str) -> typing.Dict[str, str]

Parses a dataset path into its component segments.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.parse_dataset_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.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.automl_v1beta1.services.auto_ml.AutoMlClient.parse_model_evaluation_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.parse_model_path

parse_model_path(path: str) -> typing.Dict[str, str]

Parses a model path into its component segments.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.parse_model_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.parse_table_spec_path

parse_table_spec_path(path: str) -> typing.Dict[str, str]

Parses a table_spec path into its component segments.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.parse_table_spec_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.table_spec_path

table_spec_path(project: str, location: str, dataset: str, table_spec: str) -> str

Returns a fully-qualified table_spec string.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.table_spec_path

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.undeploy_model

undeploy_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.service.UndeployModelRequest, 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

Undeploys a model.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.undeploy_model

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.update_column_spec

update_column_spec(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.service.UpdateColumnSpecRequest, dict
        ]
    ] = None,
    *,
    column_spec: typing.Optional[
        google.cloud.automl_v1beta1.types.column_spec.ColumnSpec
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.automl_v1beta1.types.column_spec.ColumnSpec

Updates a column spec.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.update_column_spec

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.update_dataset

update_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.service.UpdateDatasetRequest, dict
        ]
    ] = None,
    *,
    dataset: typing.Optional[google.cloud.automl_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.cloud.automl_v1beta1.types.dataset.Dataset

Updates a dataset.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.update_dataset

google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.update_table_spec

update_table_spec(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.service.UpdateTableSpecRequest, dict
        ]
    ] = None,
    *,
    table_spec: typing.Optional[
        google.cloud.automl_v1beta1.types.table_spec.TableSpec
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.automl_v1beta1.types.table_spec.TableSpec

Updates a table spec.

See more: google.cloud.automl_v1beta1.services.auto_ml.AutoMlClient.update_table_spec

google.cloud.automl_v1beta1.services.auto_ml.pagers.ListColumnSpecsAsyncPager

ListColumnSpecsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.automl_v1beta1.types.service.ListColumnSpecsResponse
        ],
    ],
    request: google.cloud.automl_v1beta1.types.service.ListColumnSpecsRequest,
    response: google.cloud.automl_v1beta1.types.service.ListColumnSpecsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.automl_v1beta1.services.auto_ml.pagers.ListColumnSpecsAsyncPager

google.cloud.automl_v1beta1.services.auto_ml.pagers.ListColumnSpecsPager

ListColumnSpecsPager(
    method: typing.Callable[
        [...], google.cloud.automl_v1beta1.types.service.ListColumnSpecsResponse
    ],
    request: google.cloud.automl_v1beta1.types.service.ListColumnSpecsRequest,
    response: google.cloud.automl_v1beta1.types.service.ListColumnSpecsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.automl_v1beta1.services.auto_ml.pagers.ListColumnSpecsPager

google.cloud.automl_v1beta1.services.auto_ml.pagers.ListDatasetsAsyncPager

ListDatasetsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.automl_v1beta1.types.service.ListDatasetsResponse
        ],
    ],
    request: google.cloud.automl_v1beta1.types.service.ListDatasetsRequest,
    response: google.cloud.automl_v1beta1.types.service.ListDatasetsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.automl_v1beta1.services.auto_ml.pagers.ListDatasetsAsyncPager

google.cloud.automl_v1beta1.services.auto_ml.pagers.ListDatasetsPager

ListDatasetsPager(
    method: typing.Callable[
        [...], google.cloud.automl_v1beta1.types.service.ListDatasetsResponse
    ],
    request: google.cloud.automl_v1beta1.types.service.ListDatasetsRequest,
    response: google.cloud.automl_v1beta1.types.service.ListDatasetsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.automl_v1beta1.services.auto_ml.pagers.ListDatasetsPager

google.cloud.automl_v1beta1.services.auto_ml.pagers.ListModelEvaluationsAsyncPager

ListModelEvaluationsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.automl_v1beta1.types.service.ListModelEvaluationsResponse
        ],
    ],
    request: google.cloud.automl_v1beta1.types.service.ListModelEvaluationsRequest,
    response: google.cloud.automl_v1beta1.types.service.ListModelEvaluationsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.automl_v1beta1.services.auto_ml.pagers.ListModelEvaluationsAsyncPager

google.cloud.automl_v1beta1.services.auto_ml.pagers.ListModelEvaluationsPager

ListModelEvaluationsPager(
    method: typing.Callable[
        [...], google.cloud.automl_v1beta1.types.service.ListModelEvaluationsResponse
    ],
    request: google.cloud.automl_v1beta1.types.service.ListModelEvaluationsRequest,
    response: google.cloud.automl_v1beta1.types.service.ListModelEvaluationsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.automl_v1beta1.services.auto_ml.pagers.ListModelEvaluationsPager

google.cloud.automl_v1beta1.services.auto_ml.pagers.ListModelsAsyncPager

ListModelsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[google.cloud.automl_v1beta1.types.service.ListModelsResponse],
    ],
    request: google.cloud.automl_v1beta1.types.service.ListModelsRequest,
    response: google.cloud.automl_v1beta1.types.service.ListModelsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.automl_v1beta1.services.auto_ml.pagers.ListModelsAsyncPager

google.cloud.automl_v1beta1.services.auto_ml.pagers.ListModelsPager

ListModelsPager(
    method: typing.Callable[
        [...], google.cloud.automl_v1beta1.types.service.ListModelsResponse
    ],
    request: google.cloud.automl_v1beta1.types.service.ListModelsRequest,
    response: google.cloud.automl_v1beta1.types.service.ListModelsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.automl_v1beta1.services.auto_ml.pagers.ListModelsPager

google.cloud.automl_v1beta1.services.auto_ml.pagers.ListTableSpecsAsyncPager

ListTableSpecsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.automl_v1beta1.types.service.ListTableSpecsResponse
        ],
    ],
    request: google.cloud.automl_v1beta1.types.service.ListTableSpecsRequest,
    response: google.cloud.automl_v1beta1.types.service.ListTableSpecsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

See more: google.cloud.automl_v1beta1.services.auto_ml.pagers.ListTableSpecsAsyncPager

google.cloud.automl_v1beta1.services.auto_ml.pagers.ListTableSpecsPager

ListTableSpecsPager(
    method: typing.Callable[
        [...], google.cloud.automl_v1beta1.types.service.ListTableSpecsResponse
    ],
    request: google.cloud.automl_v1beta1.types.service.ListTableSpecsRequest,
    response: google.cloud.automl_v1beta1.types.service.ListTableSpecsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiate the pager.

See more: google.cloud.automl_v1beta1.services.auto_ml.pagers.ListTableSpecsPager

google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient

PredictionServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.automl_v1beta1.services.prediction_service.transports.base.PredictionServiceTransport, typing.Callable[[...], google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient

google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.batch_predict

batch_predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.prediction_service.BatchPredictRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    input_config: typing.Optional[
        google.cloud.automl_v1beta1.types.io.BatchPredictInputConfig
    ] = None,
    output_config: typing.Optional[
        google.cloud.automl_v1beta1.types.io.BatchPredictOutputConfig
    ] = None,
    params: typing.Optional[typing.MutableMapping[str, str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.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

Perform a batch prediction.

See more: google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.batch_predict

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.common_billing_account_path

google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.common_folder_path

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.common_location_path

google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.common_organization_path

google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.common_project_path

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.from_service_account_file

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.from_service_account_info

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.from_service_account_json

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.get_mtls_endpoint_and_cert_source

google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.automl_v1beta1.services.prediction_service.transports.base.PredictionServiceTransport
    ]
)

Returns an appropriate transport class.

See more: google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.get_transport_class

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.model_path

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.parse_common_billing_account_path

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.parse_common_folder_path

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.parse_common_location_path

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.parse_common_organization_path

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.parse_common_project_path

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.parse_model_path

google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.predict

predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.prediction_service.PredictRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    payload: typing.Optional[
        google.cloud.automl_v1beta1.types.data_items.ExamplePayload
    ] = None,
    params: typing.Optional[typing.MutableMapping[str, str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.automl_v1beta1.types.prediction_service.PredictResponse

Perform an online prediction.

See more: google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.predict

google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceClient

PredictionServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.automl_v1beta1.services.prediction_service.transports.base.PredictionServiceTransport, typing.Callable[[...], google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceClient

google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceClient.__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

See more: google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceClient.exit

google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceClient.batch_predict

batch_predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.prediction_service.BatchPredictRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    input_config: typing.Optional[
        google.cloud.automl_v1beta1.types.io.BatchPredictInputConfig
    ] = None,
    output_config: typing.Optional[
        google.cloud.automl_v1beta1.types.io.BatchPredictOutputConfig
    ] = None,
    params: typing.Optional[typing.MutableMapping[str, str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.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

Perform a batch prediction.

See more: google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceClient.batch_predict

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceClient.common_billing_account_path

google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceClient.common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

See more: google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceClient.common_folder_path

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceClient.common_location_path

google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceClient.common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

See more: google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceClient.common_organization_path

google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceClient.common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

See more: google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceClient.common_project_path

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceClient.from_service_account_file

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceClient.from_service_account_info

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceClient.from_service_account_json

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceClient.get_mtls_endpoint_and_cert_source

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceClient.model_path

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceClient.parse_common_billing_account_path

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceClient.parse_common_folder_path

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceClient.parse_common_location_path

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceClient.parse_common_organization_path

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceClient.parse_common_project_path

google.cloud.automl_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.automl_v1beta1.services.prediction_service.PredictionServiceClient.parse_model_path

google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceClient.predict

predict(
    request: typing.Optional[
        typing.Union[
            google.cloud.automl_v1beta1.types.prediction_service.PredictRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    payload: typing.Optional[
        google.cloud.automl_v1beta1.types.data_items.ExamplePayload
    ] = None,
    params: typing.Optional[typing.MutableMapping[str, str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.automl_v1beta1.types.prediction_service.PredictResponse

Perform an online prediction.

See more: google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceClient.predict

google.cloud.automl_v1beta1.services.tables.gcs_client.GcsClient

GcsClient(bucket_name=None, client=None, credentials=None, project=None)

Constructor.

See more: google.cloud.automl_v1beta1.services.tables.gcs_client.GcsClient

google.cloud.automl_v1beta1.services.tables.gcs_client.GcsClient.ensure_bucket_exists

ensure_bucket_exists(project, region)

Checks if a bucket named '{project}-automl-tables-staging' exists.

See more: google.cloud.automl_v1beta1.services.tables.gcs_client.GcsClient.ensure_bucket_exists

google.cloud.automl_v1beta1.services.tables.gcs_client.GcsClient.upload_pandas_dataframe

upload_pandas_dataframe(dataframe, uploaded_csv_name=None)

Uploads a Pandas DataFrame as CSV to the bucket.

See more: google.cloud.automl_v1beta1.services.tables.gcs_client.GcsClient.upload_pandas_dataframe

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient

TablesClient(
    *,
    project=None,
    region="us-central1",
    credentials=None,
    client=None,
    prediction_client=None,
    gcs_client=None,
    **kwargs
)

Constructor.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.batch_predict

batch_predict(
    *,
    pandas_dataframe=None,
    bigquery_input_uri=None,
    bigquery_output_uri=None,
    gcs_input_uris=None,
    gcs_output_uri_prefix=None,
    model=None,
    model_name=None,
    model_display_name=None,
    project=None,
    region=None,
    credentials=None,
    inputs=None,
    params={},
    **kwargs
)

Makes a batch prediction on a model.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.batch_predict

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.clear_test_train_column

clear_test_train_column(
    *,
    dataset=None,
    dataset_display_name=None,
    dataset_name=None,
    project=None,
    region=None,
    **kwargs
)

Clears the test/train (ml_use) column which designates which data belongs to the test and train sets.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.clear_test_train_column

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.clear_time_column

clear_time_column(
    *,
    dataset=None,
    dataset_display_name=None,
    dataset_name=None,
    project=None,
    region=None,
    **kwargs
)

Clears the time column which designates which data will be of type timestamp and will be used for the timeseries data.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.clear_time_column

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.clear_weight_column

clear_weight_column(
    *,
    dataset=None,
    dataset_display_name=None,
    dataset_name=None,
    project=None,
    region=None,
    **kwargs
)

Clears the weight column for a given dataset.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.clear_weight_column

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.create_dataset

create_dataset(
    dataset_display_name, *, metadata={}, project=None, region=None, **kwargs
)

Create a dataset.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.create_dataset

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.create_model

create_model(
    model_display_name,
    *,
    dataset=None,
    dataset_display_name=None,
    dataset_name=None,
    train_budget_milli_node_hours=None,
    optimization_objective=None,
    project=None,
    region=None,
    model_metadata=None,
    include_column_spec_names=None,
    exclude_column_spec_names=None,
    disable_early_stopping=False,
    **kwargs
)

Create a model.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.create_model

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.delete_dataset

delete_dataset(
    *,
    dataset=None,
    dataset_display_name=None,
    dataset_name=None,
    project=None,
    region=None,
    **kwargs
)

Deletes a dataset.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.delete_dataset

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.delete_model

delete_model(
    *,
    model=None,
    model_display_name=None,
    model_name=None,
    project=None,
    region=None,
    **kwargs
)

Deletes a model.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.delete_model

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.deploy_model

deploy_model(
    *,
    model=None,
    model_name=None,
    model_display_name=None,
    project=None,
    region=None,
    **kwargs
)

Deploys a model.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.deploy_model

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.export_data

export_data(
    *,
    dataset=None,
    dataset_display_name=None,
    dataset_name=None,
    gcs_output_uri_prefix=None,
    bigquery_output_uri=None,
    project=None,
    region=None,
    **kwargs
)

Exports data from a dataset.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.export_data

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.get_column_spec

get_column_spec(column_spec_name, *, project=None, region=None, **kwargs)

Gets a single column spec in a particular project and region.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.get_column_spec

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.get_dataset

get_dataset(
    *, project=None, region=None, dataset_name=None, dataset_display_name=None, **kwargs
)

Gets a single dataset in a particular project and region.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.get_dataset

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.get_model

get_model(
    *, project=None, region=None, model_name=None, model_display_name=None, **kwargs
)

Gets a single model in a particular project and region.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.get_model

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.get_model_evaluation

get_model_evaluation(model_evaluation_name, *, project=None, region=None, **kwargs)

Gets a single evaluation model in a particular project and region.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.get_model_evaluation

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.get_table_spec

get_table_spec(table_spec_name, *, project=None, region=None, **kwargs)

Gets a single table spec in a particular project and region.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.get_table_spec

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.import_data

import_data(
    *,
    dataset=None,
    dataset_display_name=None,
    dataset_name=None,
    pandas_dataframe=None,
    gcs_input_uris=None,
    bigquery_input_uri=None,
    project=None,
    region=None,
    credentials=None,
    **kwargs
)

Imports data into a dataset.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.import_data

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.list_column_specs

list_column_specs(
    *,
    dataset=None,
    dataset_display_name=None,
    dataset_name=None,
    table_spec_name=None,
    table_spec_index=0,
    project=None,
    region=None,
    **kwargs
)

Lists column specs.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.list_column_specs

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.list_datasets

list_datasets(*, project=None, region=None, **kwargs)

List all datasets in a particular project and region.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.list_datasets

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.list_model_evaluations

list_model_evaluations(
    *,
    project=None,
    region=None,
    model=None,
    model_display_name=None,
    model_name=None,
    **kwargs
)

List all model evaluations for a given model.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.list_model_evaluations

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.list_models

list_models(*, project=None, region=None, **kwargs)

List all models in a particular project and region.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.list_models

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.list_table_specs

list_table_specs(
    *,
    dataset=None,
    dataset_display_name=None,
    dataset_name=None,
    project=None,
    region=None,
    **kwargs
)

Lists table specs.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.list_table_specs

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.predict

predict(
    inputs,
    *,
    model=None,
    model_name=None,
    model_display_name=None,
    feature_importance=False,
    project=None,
    region=None,
    **kwargs
)

Makes a prediction on a deployed model.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.predict

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.set_target_column

set_target_column(
    *,
    dataset=None,
    dataset_display_name=None,
    dataset_name=None,
    table_spec_name=None,
    table_spec_index=0,
    column_spec_name=None,
    column_spec_display_name=None,
    project=None,
    region=None,
    **kwargs
)

Sets the target column for a given table.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.set_target_column

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.set_test_train_column

set_test_train_column(
    *,
    dataset=None,
    dataset_display_name=None,
    dataset_name=None,
    table_spec_name=None,
    table_spec_index=0,
    column_spec_name=None,
    column_spec_display_name=None,
    project=None,
    region=None,
    **kwargs
)

Sets the test/train (ml_use) column which designates which data belongs to the test and train sets.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.set_test_train_column

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.set_time_column

set_time_column(
    *,
    dataset=None,
    dataset_display_name=None,
    dataset_name=None,
    table_spec_name=None,
    table_spec_index=0,
    column_spec_name=None,
    column_spec_display_name=None,
    project=None,
    region=None,
    **kwargs
)

Sets the time column which designates which data will be of type timestamp and will be used for the timeseries data.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.set_time_column

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.set_weight_column

set_weight_column(
    *,
    dataset=None,
    dataset_display_name=None,
    dataset_name=None,
    table_spec_name=None,
    table_spec_index=0,
    column_spec_name=None,
    column_spec_display_name=None,
    project=None,
    region=None,
    **kwargs
)

Sets the weight column for a given table.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.set_weight_column

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.undeploy_model

undeploy_model(
    *,
    model=None,
    model_name=None,
    model_display_name=None,
    project=None,
    region=None,
    **kwargs
)

Undeploys a model.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.undeploy_model

google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.update_column_spec

update_column_spec(
    *,
    dataset=None,
    dataset_display_name=None,
    dataset_name=None,
    table_spec_name=None,
    table_spec_index=0,
    column_spec_name=None,
    column_spec_display_name=None,
    type_code=None,
    nullable=None,
    project=None,
    region=None,
    **kwargs
)

Updates a column's specs.

See more: google.cloud.automl_v1beta1.services.tables.tables_client.TablesClient.update_column_spec