Class VizierServiceAsyncClient (0.8.0)

VizierServiceAsyncClient(*, credentials: google.auth.credentials.Credentials = None, transport: Union[str, google.cloud.aiplatform_v1beta1.services.vizier_service.transports.base.VizierServiceTransport] = '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>)

Cloud AI Platform Vizier API. Vizier service is a GCP service to solve blackbox optimization problems, such as tuning machine learning hyperparameters and searching over deep learning architectures.

Inheritance

builtins.object > VizierServiceAsyncClient

Properties

transport

Return the transport used by the client instance.

Returns
Type Description
VizierServiceTransport The transport used by the client instance.

Methods

VizierServiceAsyncClient

VizierServiceAsyncClient(*, credentials: google.auth.credentials.Credentials = None, transport: Union[str, google.cloud.aiplatform_v1beta1.services.vizier_service.transports.base.VizierServiceTransport] = '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 vizier 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, `.VizierServiceTransport`]

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.

add_trial_measurement

add_trial_measurement(request: Optional[google.cloud.aiplatform_v1beta1.types.vizier_service.AddTrialMeasurementRequest] = None, *, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Adds a measurement of the objective metrics to a Trial. This measurement is assumed to have been taken before the Trial is complete.

Parameters
Name Description
request AddTrialMeasurementRequest

The request object. Request message for VizierService.AddTrialMeasurement.

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_v1beta1.types.Trial A message representing a Trial. A Trial contains a unique set of Parameters that has been or will be evaluated, along with the objective metrics got by running the Trial.

check_trial_early_stopping_state

check_trial_early_stopping_state(request: Optional[google.cloud.aiplatform_v1beta1.types.vizier_service.CheckTrialEarlyStoppingStateRequest] = None, *, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Checks whether a Trial should stop or not. Returns a long-running operation. When the operation is successful, it will contain a xref_CheckTrialEarlyStoppingStateResponse.

Parameters
Name Description
request CheckTrialEarlyStoppingStateRequest

The request object. Request message for VizierService.CheckTrialEarlyStoppingState.

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 CheckTrialEarlyStoppingStateResponse Response message for VizierService.CheckTrialEarlyStoppingState.

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.

complete_trial

complete_trial(request: Optional[google.cloud.aiplatform_v1beta1.types.vizier_service.CompleteTrialRequest] = None, *, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Marks a Trial as complete.

Parameters
Name Description
request CompleteTrialRequest

The request object. Request message for VizierService.CompleteTrial.

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_v1beta1.types.Trial A message representing a Trial. A Trial contains a unique set of Parameters that has been or will be evaluated, along with the objective metrics got by running the Trial.

create_study

create_study(request: Optional[google.cloud.aiplatform_v1beta1.types.vizier_service.CreateStudyRequest] = None, *, parent: Optional[str] = None, study: Optional[google.cloud.aiplatform_v1beta1.types.study.Study] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates a Study. A resource name will be generated after creation of the Study.

Parameters
Name Description
request CreateStudyRequest

The request object. Request message for VizierService.CreateStudy.

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.

study Study

Required. The Study configuration used to create the Study. This corresponds to the study 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_v1beta1.types.Study A message representing a Study.

create_trial

create_trial(request: Optional[google.cloud.aiplatform_v1beta1.types.vizier_service.CreateTrialRequest] = None, *, parent: Optional[str] = None, trial: Optional[google.cloud.aiplatform_v1beta1.types.study.Trial] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Adds a user provided Trial to a Study.

Parameters
Name Description
request CreateTrialRequest

The request object. Request message for VizierService.CreateTrial.

parent `str`

Required. The resource name of the Study to create the Trial in. Format: projects/{project}/locations/{location}/studies/{study} This corresponds to the parent field on the request instance; if request is provided, this should not be set.

trial Trial

Required. The Trial to create. This corresponds to the trial 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_v1beta1.types.Trial A message representing a Trial. A Trial contains a unique set of Parameters that has been or will be evaluated, along with the objective metrics got by running the Trial.

custom_job_path

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