Class ListHyperparameterTuningJobsPager (1.75.0)

ListHyperparameterTuningJobsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.job_service.ListHyperparameterTuningJobsResponse,
    ],
    request: google.cloud.aiplatform_v1.types.job_service.ListHyperparameterTuningJobsRequest,
    response: google.cloud.aiplatform_v1.types.job_service.ListHyperparameterTuningJobsResponse,
    *,
    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]]] = ()
)

A pager for iterating through list_hyperparameter_tuning_jobs requests.

This class thinly wraps an initial ListHyperparameterTuningJobsResponse object, and provides an __iter__ method to iterate through its hyperparameter_tuning_jobs field.

If there are more pages, the __iter__ method will make additional ListHyperparameterTuningJobs requests and continue to iterate through the hyperparameter_tuning_jobs field on the corresponding responses.

All the usual ListHyperparameterTuningJobsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Methods

ListHyperparameterTuningJobsPager

ListHyperparameterTuningJobsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.job_service.ListHyperparameterTuningJobsResponse,
    ],
    request: google.cloud.aiplatform_v1.types.job_service.ListHyperparameterTuningJobsRequest,
    response: google.cloud.aiplatform_v1.types.job_service.ListHyperparameterTuningJobsResponse,
    *,
    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]]] = ()
)

Instantiate the pager.

Parameters
Name	Description
`method`	`Callable` The method that was originally called, and which instantiated this pager.
`request`	`google.cloud.aiplatform_v1.types.ListHyperparameterTuningJobsRequest` The initial request object.
`response`	`google.cloud.aiplatform_v1.types.ListHyperparameterTuningJobsResponse` The initial response object.
`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, Union[str, bytes]]]` Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type `str`, but for metadata keys ending with the suffix `-bin`, the corresponding values must be of type `bytes`.