Package Methods (2.16.4)

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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation_async.AsyncOperation

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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation_async.AsyncOperation

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, typing.Union[str, bytes]]] = () ) -> 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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation_async.AsyncOperation

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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation_async.AsyncOperation

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, typing.Union[str, bytes]]] = () ) -> 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, typing.Union[str, bytes]]] = () ) -> 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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1.types.annotation_spec.AnnotationSpec

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1.types.dataset.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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1.types.model.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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1.types.model_evaluation.ModelEvaluation

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 ]

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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation_async.AsyncOperation

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1.services.auto_ml.pagers.ListDatasetsAsyncPager

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1.services.auto_ml.pagers.ListModelEvaluationsAsyncPager

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1.services.auto_ml.pagers.ListModelsAsyncPager

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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation_async.AsyncOperation

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1.types.dataset.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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1.types.model.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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation.Operation

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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation.Operation

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, typing.Union[str, bytes]]] = () ) -> 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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation.Operation

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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation.Operation

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, typing.Union[str, bytes]]] = () ) -> 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, typing.Union[str, bytes]]] = () ) -> 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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1.types.annotation_spec.AnnotationSpec

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1.types.dataset.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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1.types.model.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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1.types.model_evaluation.ModelEvaluation

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, )

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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation.Operation

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1.services.auto_ml.pagers.ListDatasetsPager

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1.services.auto_ml.pagers.ListModelEvaluationsPager

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1.services.auto_ml.pagers.ListModelsPager

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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation.Operation

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1.types.dataset.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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1.types.model.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, typing.Union[str, bytes]]] = () )

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, typing.Union[str, bytes]]] = () )

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, typing.Union[str, bytes]]] = () )

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, typing.Union[str, bytes]]] = () )

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, typing.Union[str, bytes]]] = () )

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, typing.Union[str, bytes]]] = () )

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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation_async.AsyncOperation

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

common_billing_account_path(billing_account: str) -> str

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

common_folder_path(folder: str) -> str

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

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

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

common_organization_path(organization: str) -> str

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

common_project_path(project: str) -> str

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

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

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

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

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

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

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

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

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

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

get_mtls_endpoint_and_cert_source( client_options: typing.Optional[ google.api_core.client_options.ClientOptions ] = None, )

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 ]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1.types.prediction_service.PredictResponse

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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation.Operation

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

common_billing_account_path(billing_account: str) -> str

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

common_folder_path(folder: str) -> str

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

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

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

common_organization_path(organization: str) -> str

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

common_project_path(project: str) -> str

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, )

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1.types.prediction_service.PredictResponse

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

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

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

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

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.types.dataset.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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation_async.AsyncOperation

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, typing.Union[str, bytes]]] = () ) -> 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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation_async.AsyncOperation

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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation_async.AsyncOperation

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, typing.Union[str, bytes]]] = () ) -> 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, typing.Union[str, bytes]]] = () ) -> 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, typing.Union[str, bytes]]] = () ) -> 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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.types.annotation_spec.AnnotationSpec

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.types.column_spec.ColumnSpec

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.types.dataset.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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.types.model.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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.types.model_evaluation.ModelEvaluation

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.types.table_spec.TableSpec

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 ]

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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation_async.AsyncOperation

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.services.auto_ml.pagers.ListColumnSpecsAsyncPager

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.services.auto_ml.pagers.ListDatasetsAsyncPager

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.services.auto_ml.pagers.ListModelEvaluationsAsyncPager

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.services.auto_ml.pagers.ListModelsAsyncPager

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.services.auto_ml.pagers.ListTableSpecsAsyncPager

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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation_async.AsyncOperation

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.types.column_spec.ColumnSpec

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.types.dataset.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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.types.table_spec.TableSpec

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.types.dataset.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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation.Operation

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, typing.Union[str, bytes]]] = () ) -> 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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation.Operation

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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation.Operation

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, typing.Union[str, bytes]]] = () ) -> 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, typing.Union[str, bytes]]] = () ) -> 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, typing.Union[str, bytes]]] = () ) -> 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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.types.annotation_spec.AnnotationSpec

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.types.column_spec.ColumnSpec

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.types.dataset.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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.types.model.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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.types.model_evaluation.ModelEvaluation

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, )

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.types.table_spec.TableSpec

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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation.Operation

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.services.auto_ml.pagers.ListColumnSpecsPager

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.services.auto_ml.pagers.ListDatasetsPager

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.services.auto_ml.pagers.ListModelEvaluationsPager

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.services.auto_ml.pagers.ListModelsPager

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.services.auto_ml.pagers.ListTableSpecsPager

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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation.Operation

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.types.column_spec.ColumnSpec

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.types.dataset.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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.types.table_spec.TableSpec

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, typing.Union[str, bytes]]] = () )

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, typing.Union[str, bytes]]] = () )

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, typing.Union[str, bytes]]] = () )

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, typing.Union[str, bytes]]] = () )

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, typing.Union[str, bytes]]] = () )

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, typing.Union[str, bytes]]] = () )

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, typing.Union[str, bytes]]] = () )

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, typing.Union[str, bytes]]] = () )

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, typing.Union[str, bytes]]] = () )

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, typing.Union[str, bytes]]] = () )

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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation_async.AsyncOperation

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

common_billing_account_path(billing_account: str) -> str

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

common_folder_path(folder: str) -> str

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

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

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

common_organization_path(organization: str) -> str

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

common_project_path(project: str) -> str

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

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

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

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

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

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

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

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

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

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

get_mtls_endpoint_and_cert_source( client_options: typing.Optional[ google.api_core.client_options.ClientOptions ] = None, )

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 ]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.types.prediction_service.PredictResponse

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)

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, typing.Union[str, bytes]]] = () ) -> google.api_core.operation.Operation

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

common_billing_account_path(billing_account: str) -> str

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

common_folder_path(folder: str) -> str

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

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

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

common_organization_path(organization: str) -> str

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

common_project_path(project: str) -> str

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

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

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

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

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

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

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

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

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

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

get_mtls_endpoint_and_cert_source( client_options: typing.Optional[ google.api_core.client_options.ClientOptions ] = None, )

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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, typing.Union[str, bytes]]] = () ) -> google.cloud.automl_v1beta1.types.prediction_service.PredictResponse

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

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

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 )

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 )

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 )

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

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

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 )

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 )

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 )

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 )

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 )

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 )

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 )

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 )

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 )

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 )

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 )

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 )

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 )

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 )