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(
label: typing.Optional[str] = None,
) -> 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,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
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,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
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,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
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,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
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,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
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,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
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.
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.
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.
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.
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.
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.
google.cloud.automl_v1.services.prediction_service.PredictionServiceAsyncClient.get_transport_class
get_transport_class(
label: typing.Optional[str] = None,
) -> 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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(
label: typing.Optional[str] = None,
) -> 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,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
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,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
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,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
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,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
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,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
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,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
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,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
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,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
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,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
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,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
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.
google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.common_folder_path
common_folder_path(folder: str) -> str
Returns a fully-qualified folder string.
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.
google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.common_organization_path
common_organization_path(organization: str) -> str
Returns a fully-qualified organization string.
google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.common_project_path
common_project_path(project: str) -> str
Returns a fully-qualified project string.
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.
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.
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.
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.
google.cloud.automl_v1beta1.services.prediction_service.PredictionServiceAsyncClient.get_transport_class
get_transport_class(
label: typing.Optional[str] = None,
) -> typing.Type[
google.cloud.automl_v1beta1.services.prediction_service.transports.base.PredictionServiceTransport
]
Returns an appropriate 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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