Module pagers (1.73.0)

API documentation for aiplatform_v1beta1.services.job_service.pagers module.

Classes

ListBatchPredictionJobsAsyncPager

ListBatchPredictionJobsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.job_service.ListBatchPredictionJobsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListBatchPredictionJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListBatchPredictionJobsResponse,
    *,
    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, str]] = ()
)

A pager for iterating through list_batch_prediction_jobs requests.

This class thinly wraps an initial ListBatchPredictionJobsResponse object, and provides an __aiter__ method to iterate through its batch_prediction_jobs field.

If there are more pages, the __aiter__ method will make additional ListBatchPredictionJobs requests and continue to iterate through the batch_prediction_jobs field on the corresponding responses.

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

ListBatchPredictionJobsPager

ListBatchPredictionJobsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.job_service.ListBatchPredictionJobsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListBatchPredictionJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListBatchPredictionJobsResponse,
    *,
    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, str]] = ()
)

A pager for iterating through list_batch_prediction_jobs requests.

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

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

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

ListCustomJobsAsyncPager

ListCustomJobsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.job_service.ListCustomJobsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListCustomJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListCustomJobsResponse,
    *,
    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, str]] = ()
)

A pager for iterating through list_custom_jobs requests.

This class thinly wraps an initial ListCustomJobsResponse object, and provides an __aiter__ method to iterate through its custom_jobs field.

If there are more pages, the __aiter__ method will make additional ListCustomJobs requests and continue to iterate through the custom_jobs field on the corresponding responses.

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

ListCustomJobsPager

ListCustomJobsPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1beta1.types.job_service.ListCustomJobsResponse
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListCustomJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListCustomJobsResponse,
    *,
    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, str]] = ()
)

A pager for iterating through list_custom_jobs requests.

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

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

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

ListDataLabelingJobsAsyncPager

ListDataLabelingJobsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.job_service.ListDataLabelingJobsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListDataLabelingJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListDataLabelingJobsResponse,
    *,
    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, str]] = ()
)

A pager for iterating through list_data_labeling_jobs requests.

This class thinly wraps an initial ListDataLabelingJobsResponse object, and provides an __aiter__ method to iterate through its data_labeling_jobs field.

If there are more pages, the __aiter__ method will make additional ListDataLabelingJobs requests and continue to iterate through the data_labeling_jobs field on the corresponding responses.

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

ListDataLabelingJobsPager

ListDataLabelingJobsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.job_service.ListDataLabelingJobsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListDataLabelingJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListDataLabelingJobsResponse,
    *,
    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, str]] = ()
)

A pager for iterating through list_data_labeling_jobs requests.

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

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

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

ListHyperparameterTuningJobsAsyncPager

ListHyperparameterTuningJobsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.job_service.ListHyperparameterTuningJobsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListHyperparameterTuningJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListHyperparameterTuningJobsResponse,
    *,
    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, str]] = ()
)

A pager for iterating through list_hyperparameter_tuning_jobs requests.

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

If there are more pages, the __aiter__ 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.

ListHyperparameterTuningJobsPager

ListHyperparameterTuningJobsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.job_service.ListHyperparameterTuningJobsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListHyperparameterTuningJobsRequest,
    response: google.cloud.aiplatform_v1beta1.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, str]] = ()
)

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.

ListModelDeploymentMonitoringJobsAsyncPager

ListModelDeploymentMonitoringJobsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.job_service.ListModelDeploymentMonitoringJobsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListModelDeploymentMonitoringJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListModelDeploymentMonitoringJobsResponse,
    *,
    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, str]] = ()
)

A pager for iterating through list_model_deployment_monitoring_jobs requests.

This class thinly wraps an initial ListModelDeploymentMonitoringJobsResponse object, and provides an __aiter__ method to iterate through its model_deployment_monitoring_jobs field.

If there are more pages, the __aiter__ method will make additional ListModelDeploymentMonitoringJobs requests and continue to iterate through the model_deployment_monitoring_jobs field on the corresponding responses.

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

ListModelDeploymentMonitoringJobsPager

ListModelDeploymentMonitoringJobsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.job_service.ListModelDeploymentMonitoringJobsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListModelDeploymentMonitoringJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListModelDeploymentMonitoringJobsResponse,
    *,
    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, str]] = ()
)

A pager for iterating through list_model_deployment_monitoring_jobs requests.

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

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

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

ListNasJobsAsyncPager

ListNasJobsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.job_service.ListNasJobsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListNasJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListNasJobsResponse,
    *,
    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, str]] = ()
)

A pager for iterating through list_nas_jobs requests.

This class thinly wraps an initial ListNasJobsResponse object, and provides an __aiter__ method to iterate through its nas_jobs field.

If there are more pages, the __aiter__ method will make additional ListNasJobs requests and continue to iterate through the nas_jobs field on the corresponding responses.

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

ListNasJobsPager

ListNasJobsPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1beta1.types.job_service.ListNasJobsResponse
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListNasJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListNasJobsResponse,
    *,
    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, str]] = ()
)

A pager for iterating through list_nas_jobs requests.

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

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

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

ListNasTrialDetailsAsyncPager

ListNasTrialDetailsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.job_service.ListNasTrialDetailsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListNasTrialDetailsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListNasTrialDetailsResponse,
    *,
    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, str]] = ()
)

A pager for iterating through list_nas_trial_details requests.

This class thinly wraps an initial ListNasTrialDetailsResponse object, and provides an __aiter__ method to iterate through its nas_trial_details field.

If there are more pages, the __aiter__ method will make additional ListNasTrialDetails requests and continue to iterate through the nas_trial_details field on the corresponding responses.

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

ListNasTrialDetailsPager

ListNasTrialDetailsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.job_service.ListNasTrialDetailsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.ListNasTrialDetailsRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.ListNasTrialDetailsResponse,
    *,
    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, str]] = ()
)

A pager for iterating through list_nas_trial_details requests.

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

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

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

SearchModelDeploymentMonitoringStatsAnomaliesAsyncPager

SearchModelDeploymentMonitoringStatsAnomaliesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesResponse,
    *,
    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, str]] = ()
)

A pager for iterating through search_model_deployment_monitoring_stats_anomalies requests.

This class thinly wraps an initial SearchModelDeploymentMonitoringStatsAnomaliesResponse object, and provides an __aiter__ method to iterate through its monitoring_stats field.

If there are more pages, the __aiter__ method will make additional SearchModelDeploymentMonitoringStatsAnomalies requests and continue to iterate through the monitoring_stats field on the corresponding responses.

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

SearchModelDeploymentMonitoringStatsAnomaliesPager

SearchModelDeploymentMonitoringStatsAnomaliesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesRequest,
    response: google.cloud.aiplatform_v1beta1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesResponse,
    *,
    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, str]] = ()
)

A pager for iterating through search_model_deployment_monitoring_stats_anomalies requests.

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

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

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