Class JobServiceAsyncClient (0.9.0)

Version 0.9.0

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JobServiceAsyncClient(*, credentials: google.auth.credentials.Credentials = None, transport: Union[str, google.cloud.aiplatform_v1.services.job_service.transports.base.JobServiceTransport] = 'grpc_asyncio', client_options: <module 'google.api_core.client_options' from '/workspace/python-aiplatform/.nox/docfx/lib/python3.8/site-packages/google/api_core/client_options.py'> = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

A service for creating and managing AI Platform's jobs.

Inheritance

builtins.object > JobServiceAsyncClient

Properties

transport

Return the transport used by the client instance.

Returns

Type	Description
JobServiceTransport	The transport used by the client instance.

Methods

JobServiceAsyncClient

JobServiceAsyncClient(*, credentials: google.auth.credentials.Credentials = None, transport: Union[str, google.cloud.aiplatform_v1.services.job_service.transports.base.JobServiceTransport] = 'grpc_asyncio', client_options: <module 'google.api_core.client_options' from '/workspace/python-aiplatform/.nox/docfx/lib/python3.8/site-packages/google/api_core/client_options.py'> = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiate the job service client.

Parameters

Name	Description
credentials	Optional[google.auth.credentials.Credentials] The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
transport	Union[str, `.JobServiceTransport`] The transport to use. If set to None, a transport is chosen automatically.
client_options	ClientOptions Custom options for the client. It won't take effect if a transport instance is provided. (1) The api_endpoint property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto switch to the default mTLS endpoint if client certificate is present, this is the default value). However, the api_endpoint property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the client_cert_source property can be used to provide client certificate for mutual TLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used.

Exceptions

Type	Description
google.auth.exceptions.MutualTlsChannelError	If mutual TLS transport creation failed for any reason.

batch_prediction_job_path

batch_prediction_job_path(project: str, location: str, batch_prediction_job: str)

Return a fully-qualified batch_prediction_job string.

cancel_batch_prediction_job

cancel_batch_prediction_job(request: Optional[google.cloud.aiplatform_v1.types.job_service.CancelBatchPredictionJobRequest] = None, *, name: Optional[str] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Cancels a BatchPredictionJob.

Starts asynchronous cancellation on the BatchPredictionJob. The server makes the best effort to cancel the job, but success is not guaranteed. Clients can use xref_JobService.GetBatchPredictionJob or other methods to check whether the cancellation succeeded or whether the job completed despite cancellation. On a successful cancellation, the BatchPredictionJob is not deleted;instead its xref_BatchPredictionJob.state is set to CANCELLED. Any files already outputted by the job are not deleted.

Parameters

Name	Description
request	CancelBatchPredictionJobRequest The request object. Request message for JobService.CancelBatchPredictionJob.
name	`str` Required. The name of the BatchPredictionJob to cancel. Format: projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job} This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

cancel_custom_job

cancel_custom_job(request: Optional[google.cloud.aiplatform_v1.types.job_service.CancelCustomJobRequest] = None, *, name: Optional[str] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Cancels a CustomJob. Starts asynchronous cancellation on the CustomJob. The server makes a best effort to cancel the job, but success is not guaranteed. Clients can use xref_JobService.GetCustomJob or other methods to check whether the cancellation succeeded or whether the job completed despite cancellation. On successful cancellation, the CustomJob is not deleted; instead it becomes a job with a xref_CustomJob.error value with a google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to Code.CANCELLED, and xref_CustomJob.state is set to CANCELLED.

Parameters

Name	Description
request	CancelCustomJobRequest The request object. Request message for JobService.CancelCustomJob.
name	`str` Required. The name of the CustomJob to cancel. Format: projects/{project}/locations/{location}/customJobs/{custom_job} This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

cancel_data_labeling_job

cancel_data_labeling_job(request: Optional[google.cloud.aiplatform_v1.types.job_service.CancelDataLabelingJobRequest] = None, *, name: Optional[str] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Cancels a DataLabelingJob. Success of cancellation is not guaranteed.

Parameters

Name	Description
request	CancelDataLabelingJobRequest The request object. Request message for [DataLabelingJobService.CancelDataLabelingJob][].
name	`str` Required. The name of the DataLabelingJob. Format: projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job} This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

cancel_hyperparameter_tuning_job

cancel_hyperparameter_tuning_job(request: Optional[google.cloud.aiplatform_v1.types.job_service.CancelHyperparameterTuningJobRequest] = None, *, name: Optional[str] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Cancels a HyperparameterTuningJob. Starts asynchronous cancellation on the HyperparameterTuningJob. The server makes a best effort to cancel the job, but success is not guaranteed. Clients can use xref_JobService.GetHyperparameterTuningJob or other methods to check whether the cancellation succeeded or whether the job completed despite cancellation. On successful cancellation, the HyperparameterTuningJob is not deleted; instead it becomes a job with a xref_HyperparameterTuningJob.error value with a google.rpc.Status.code][google.rpc.Status.code] of 1, corresponding to Code.CANCELLED, and xref_HyperparameterTuningJob.state is set to CANCELLED.

Parameters

Name	Description
request	CancelHyperparameterTuningJobRequest The request object. Request message for JobService.CancelHyperparameterTuningJob.
name	`str` Required. The name of the HyperparameterTuningJob to cancel. Format: projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job} This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

common_billing_account_path

common_billing_account_path(billing_account: str)

Return a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str)

Return a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str)

Return a fully-qualified location string.

common_organization_path

common_organization_path(organization: str)

Return a fully-qualified organization string.

common_project_path

common_project_path(project: str)

Return a fully-qualified project string.

create_batch_prediction_job

create_batch_prediction_job(request: Optional[google.cloud.aiplatform_v1.types.job_service.CreateBatchPredictionJobRequest] = None, *, parent: Optional[str] = None, batch_prediction_job: Optional[google.cloud.aiplatform_v1.types.batch_prediction_job.BatchPredictionJob] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates a BatchPredictionJob. A BatchPredictionJob once created will right away be attempted to start.

Parameters

Name	Description
request	CreateBatchPredictionJobRequest The request object. Request message for JobService.CreateBatchPredictionJob.
parent	`str` Required. The resource name of the Location to create the BatchPredictionJob in. Format: projects/{project}/locations/{location} This corresponds to the parent field on the request instance; if request is provided, this should not be set.
batch_prediction_job	BatchPredictionJob Required. The BatchPredictionJob to create. This corresponds to the batch_prediction_job field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.cloud.aiplatform_v1.types.BatchPredictionJob	A job that uses a Model to produce predictions on multiple [input instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If predictions for significant portion of the instances fail, the job may finish without attempting predictions for all remaining instances.

create_custom_job

create_custom_job(request: Optional[google.cloud.aiplatform_v1.types.job_service.CreateCustomJobRequest] = None, *, parent: Optional[str] = None, custom_job: Optional[google.cloud.aiplatform_v1.types.custom_job.CustomJob] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates a CustomJob. A created CustomJob right away will be attempted to be run.

Parameters

Name	Description
request	CreateCustomJobRequest The request object. Request message for JobService.CreateCustomJob.
parent	`str` Required. The resource name of the Location to create the CustomJob in. Format: projects/{project}/locations/{location} This corresponds to the parent field on the request instance; if request is provided, this should not be set.
custom_job	CustomJob Required. The CustomJob to create. This corresponds to the custom_job field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.cloud.aiplatform_v1.types.CustomJob	Represents a job that runs custom workloads such as a Docker container or a Python package. A CustomJob can have multiple worker pools and each worker pool can have its own machine and input spec. A CustomJob will be cleaned up once the job enters terminal state (failed or succeeded).

create_data_labeling_job

create_data_labeling_job(request: Optional[google.cloud.aiplatform_v1.types.job_service.CreateDataLabelingJobRequest] = None, *, parent: Optional[str] = None, data_labeling_job: Optional[google.cloud.aiplatform_v1.types.data_labeling_job.DataLabelingJob] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates a DataLabelingJob.

Parameters

Name	Description
request	CreateDataLabelingJobRequest The request object. Request message for [DataLabelingJobService.CreateDataLabelingJob][].
parent	`str` Required. The parent of the DataLabelingJob. Format: projects/{project}/locations/{location} This corresponds to the parent field on the request instance; if request is provided, this should not be set.
data_labeling_job	DataLabelingJob Required. The DataLabelingJob to create. This corresponds to the data_labeling_job field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.cloud.aiplatform_v1.types.DataLabelingJob	DataLabelingJob is used to trigger a human labeling job on unlabeled data from the following Dataset:

create_hyperparameter_tuning_job

create_hyperparameter_tuning_job(request: Optional[google.cloud.aiplatform_v1.types.job_service.CreateHyperparameterTuningJobRequest] = None, *, parent: Optional[str] = None, hyperparameter_tuning_job: Optional[google.cloud.aiplatform_v1.types.hyperparameter_tuning_job.HyperparameterTuningJob] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates a HyperparameterTuningJob

Parameters

Name	Description
request	CreateHyperparameterTuningJobRequest The request object. Request message for JobService.CreateHyperparameterTuningJob.
parent	`str` Required. The resource name of the Location to create the HyperparameterTuningJob in. Format: projects/{project}/locations/{location} This corresponds to the parent field on the request instance; if request is provided, this should not be set.
hyperparameter_tuning_job	HyperparameterTuningJob Required. The HyperparameterTuningJob to create. This corresponds to the hyperparameter_tuning_job field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.cloud.aiplatform_v1.types.HyperparameterTuningJob	Represents a HyperparameterTuningJob. A HyperparameterTuningJob has a Study specification and multiple CustomJobs with identical CustomJob specification.

custom_job_path

custom_job_path(project: str, location: str, custom_job: str)

Return a fully-qualified custom_job string.

data_labeling_job_path

data_labeling_job_path(project: str, location: str, data_labeling_job: str)

Return a fully-qualified data_labeling_job string.

dataset_path

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

Return a fully-qualified dataset string.

delete_batch_prediction_job

delete_batch_prediction_job(request: Optional[google.cloud.aiplatform_v1.types.job_service.DeleteBatchPredictionJobRequest] = None, *, name: Optional[str] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deletes a BatchPredictionJob. Can only be called on jobs that already finished.

Parameters

Name	Description
request	DeleteBatchPredictionJobRequest The request object. Request message for JobService.DeleteBatchPredictionJob.
name	`str` Required. The name of the BatchPredictionJob resource to be deleted. Format: projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job} This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

Returns

Type

Description

google.api_core.operation_async.AsyncOperation

An object representing a long-running operation. The result type for the operation will be `google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for Empty is empty JSON object {}.

delete_custom_job

delete_custom_job(request: Optional[google.cloud.aiplatform_v1.types.job_service.DeleteCustomJobRequest] = None, *, name: Optional[str] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deletes a CustomJob.

Parameters

Name	Description
request	DeleteCustomJobRequest The request object. Request message for JobService.DeleteCustomJob.
name	`str` Required. The name of the CustomJob resource to be deleted. Format: projects/{project}/locations/{location}/customJobs/{custom_job} This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

Returns

Type

Description

google.api_core.operation_async.AsyncOperation

An object representing a long-running operation. The result type for the operation will be `google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for Empty is empty JSON object {}.

delete_data_labeling_job

delete_data_labeling_job(request: Optional[google.cloud.aiplatform_v1.types.job_service.DeleteDataLabelingJobRequest] = None, *, name: Optional[str] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deletes a DataLabelingJob.

Parameters

Name	Description
request	DeleteDataLabelingJobRequest The request object. Request message for JobService.DeleteDataLabelingJob.
name	`str` Required. The name of the DataLabelingJob to be deleted. Format: projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job} This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

Returns

Type

Description

google.api_core.operation_async.AsyncOperation

An object representing a long-running operation. The result type for the operation will be `google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for Empty is empty JSON object {}.

delete_hyperparameter_tuning_job

delete_hyperparameter_tuning_job(request: Optional[google.cloud.aiplatform_v1.types.job_service.DeleteHyperparameterTuningJobRequest] = None, *, name: Optional[str] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deletes a HyperparameterTuningJob.

Parameters

Name	Description
request	DeleteHyperparameterTuningJobRequest The request object. Request message for JobService.DeleteHyperparameterTuningJob.
name	`str` Required. The name of the HyperparameterTuningJob resource to be deleted. Format: projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job} This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

Returns

Type

Description

google.api_core.operation_async.AsyncOperation

An object representing a long-running operation. The result type for the operation will be `google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for Empty is empty JSON object {}.

from_service_account_file

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

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

Parameter

Name	Description
filename	str The path to the service account private key json file.

Returns

Type	Description
JobServiceAsyncClient	The constructed client.

from_service_account_info

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

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

Parameter

Name	Description
info	dict The service account private key info.

Returns

Type	Description
JobServiceAsyncClient	The constructed client.

from_service_account_json

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

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

Parameter

Name	Description
filename	str The path to the service account private key json file.

Returns

Type	Description
JobServiceAsyncClient	The constructed client.

get_batch_prediction_job

get_batch_prediction_job(request: Optional[google.cloud.aiplatform_v1.types.job_service.GetBatchPredictionJobRequest] = None, *, name: Optional[str] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Gets a BatchPredictionJob

Parameters

Name	Description
request	GetBatchPredictionJobRequest The request object. Request message for JobService.GetBatchPredictionJob.
name	`str` Required. The name of the BatchPredictionJob resource. Format: projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job} This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.cloud.aiplatform_v1.types.BatchPredictionJob	A job that uses a Model to produce predictions on multiple [input instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If predictions for significant portion of the instances fail, the job may finish without attempting predictions for all remaining instances.

get_custom_job

get_custom_job(request: Optional[google.cloud.aiplatform_v1.types.job_service.GetCustomJobRequest] = None, *, name: Optional[str] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Gets a CustomJob.

Parameters

Name	Description
request	GetCustomJobRequest The request object. Request message for JobService.GetCustomJob.
name	`str` Required. The name of the CustomJob resource. Format: projects/{project}/locations/{location}/customJobs/{custom_job} This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.cloud.aiplatform_v1.types.CustomJob	Represents a job that runs custom workloads such as a Docker container or a Python package. A CustomJob can have multiple worker pools and each worker pool can have its own machine and input spec. A CustomJob will be cleaned up once the job enters terminal state (failed or succeeded).

get_data_labeling_job

get_data_labeling_job(request: Optional[google.cloud.aiplatform_v1.types.job_service.GetDataLabelingJobRequest] = None, *, name: Optional[str] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Gets a DataLabelingJob.

Parameters

Name	Description
request	GetDataLabelingJobRequest The request object. Request message for [DataLabelingJobService.GetDataLabelingJob][].
name	`str` Required. The name of the DataLabelingJob. Format: projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job} This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.cloud.aiplatform_v1.types.DataLabelingJob	DataLabelingJob is used to trigger a human labeling job on unlabeled data from the following Dataset:

get_hyperparameter_tuning_job

get_hyperparameter_tuning_job(request: Optional[google.cloud.aiplatform_v1.types.job_service.GetHyperparameterTuningJobRequest] = None, *, name: Optional[str] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Gets a HyperparameterTuningJob

Parameters

Name	Description
request	GetHyperparameterTuningJobRequest The request object. Request message for JobService.GetHyperparameterTuningJob.
name	`str` Required. The name of the HyperparameterTuningJob resource. Format: projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job} This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.cloud.aiplatform_v1.types.HyperparameterTuningJob	Represents a HyperparameterTuningJob. A HyperparameterTuningJob has a Study specification and multiple CustomJobs with identical CustomJob specification.

get_transport_class

get_transport_class()

Return an appropriate transport class.

hyperparameter_tuning_job_path

hyperparameter_tuning_job_path(
    project: str, location: str, hyperparameter_tuning_job: str
)

Return a fully-qualified hyperparameter_tuning_job string.

list_batch_prediction_jobs

list_batch_prediction_jobs(request: Optional[google.cloud.aiplatform_v1.types.job_service.ListBatchPredictionJobsRequest] = None, *, parent: Optional[str] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Lists BatchPredictionJobs in a Location.

Parameters

Name	Description
request	ListBatchPredictionJobsRequest The request object. Request message for JobService.ListBatchPredictionJobs.
parent	`str` Required. The resource name of the Location to list the BatchPredictionJobs from. Format: projects/{project}/locations/{location} This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.cloud.aiplatform_v1.services.job_service.pagers.ListBatchPredictionJobsAsyncPager	Response message for JobService.ListBatchPredictionJobs Iterating over this object will yield results and resolve additional pages automatically.

list_custom_jobs

list_custom_jobs(request: Optional[google.cloud.aiplatform_v1.types.job_service.ListCustomJobsRequest] = None, *, parent: Optional[str] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Lists CustomJobs in a Location.

Parameters

Name	Description
request	ListCustomJobsRequest The request object. Request message for JobService.ListCustomJobs.
parent	`str` Required. The resource name of the Location to list the CustomJobs from. Format: projects/{project}/locations/{location} This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.cloud.aiplatform_v1.services.job_service.pagers.ListCustomJobsAsyncPager	Response message for JobService.ListCustomJobs Iterating over this object will yield results and resolve additional pages automatically.

list_data_labeling_jobs

list_data_labeling_jobs(request: Optional[google.cloud.aiplatform_v1.types.job_service.ListDataLabelingJobsRequest] = None, *, parent: Optional[str] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Lists DataLabelingJobs in a Location.

Parameters

Name	Description
request	ListDataLabelingJobsRequest The request object. Request message for [DataLabelingJobService.ListDataLabelingJobs][].
parent	`str` Required. The parent of the DataLabelingJob. Format: projects/{project}/locations/{location} This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.cloud.aiplatform_v1.services.job_service.pagers.ListDataLabelingJobsAsyncPager	Response message for JobService.ListDataLabelingJobs. Iterating over this object will yield results and resolve additional pages automatically.

list_hyperparameter_tuning_jobs

list_hyperparameter_tuning_jobs(request: Optional[google.cloud.aiplatform_v1.types.job_service.ListHyperparameterTuningJobsRequest] = None, *, parent: Optional[str] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Lists HyperparameterTuningJobs in a Location.

Parameters

Name	Description
request	ListHyperparameterTuningJobsRequest The request object. Request message for JobService.ListHyperparameterTuningJobs.
parent	`str` Required. The resource name of the Location to list the HyperparameterTuningJobs from. Format: projects/{project}/locations/{location} This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.cloud.aiplatform_v1.services.job_service.pagers.ListHyperparameterTuningJobsAsyncPager	Response message for JobService.ListHyperparameterTuningJobs Iterating over this object will yield results and resolve additional pages automatically.

model_path

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

Return a fully-qualified model string.

parse_batch_prediction_job_path

parse_batch_prediction_job_path(path: str)

Parse a batch_prediction_job path into its component segments.

parse_common_billing_account_path

parse_common_billing_account_path(path: str)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

parse_custom_job_path

parse_custom_job_path(path: str)

Parse a custom_job path into its component segments.

parse_data_labeling_job_path

parse_data_labeling_job_path(path: str)

Parse a data_labeling_job path into its component segments.

parse_dataset_path

parse_dataset_path(path: str)

Parse a dataset path into its component segments.

parse_hyperparameter_tuning_job_path

parse_hyperparameter_tuning_job_path(path: str)

Parse a hyperparameter_tuning_job path into its component segments.

parse_model_path

parse_model_path(path: str)

Parse a model path into its component segments.

parse_trial_path

parse_trial_path(path: str)

Parse a trial path into its component segments.

trial_path

trial_path(project: str, location: str, study: str, trial: str)

Return a fully-qualified trial string.