Package Methods (2.17.0)

Summary of entries of Methods for automl.

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

to_proto_value(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=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

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

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

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

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 specifiedGoogle 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=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 specifiedGoogle 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=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=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)

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=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

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

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

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 specifiedGoogle 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

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]

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

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

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]

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=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

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

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

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

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 specifiedGoogle 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=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=google.api_core.gapic_v1.client_info.ClientInfo)

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)

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 databelongs 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 typetimestamp 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 databelongs 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 typetimestamp 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)

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Last updated 2025-11-13 UTC.