- 1.74.0 (latest)
- 1.73.0
- 1.72.0
- 1.71.1
- 1.70.0
- 1.69.0
- 1.68.0
- 1.67.1
- 1.66.0
- 1.65.0
- 1.63.0
- 1.62.0
- 1.60.0
- 1.59.0
- 1.58.0
- 1.57.0
- 1.56.0
- 1.55.0
- 1.54.1
- 1.53.0
- 1.52.0
- 1.51.0
- 1.50.0
- 1.49.0
- 1.48.0
- 1.47.0
- 1.46.0
- 1.45.0
- 1.44.0
- 1.43.0
- 1.39.0
- 1.38.1
- 1.37.0
- 1.36.4
- 1.35.0
- 1.34.0
- 1.33.1
- 1.32.0
- 1.31.1
- 1.30.1
- 1.29.0
- 1.28.1
- 1.27.1
- 1.26.1
- 1.25.0
- 1.24.1
- 1.23.0
- 1.22.1
- 1.21.0
- 1.20.0
- 1.19.1
- 1.18.3
- 1.17.1
- 1.16.1
- 1.15.1
- 1.14.0
- 1.13.1
- 1.12.1
- 1.11.0
- 1.10.0
- 1.9.0
- 1.8.1
- 1.7.1
- 1.6.2
- 1.5.0
- 1.4.3
- 1.3.0
- 1.2.0
- 1.1.1
- 1.0.1
- 0.9.0
- 0.8.0
- 0.7.1
- 0.6.0
- 0.5.1
- 0.4.0
- 0.3.1
API documentation for aiplatform_v1.services.job_service.pagers
module.
Classes
ListBatchPredictionJobsAsyncPager
ListBatchPredictionJobsAsyncPager(
method: Callable[
[...],
Awaitable[
google.cloud.aiplatform_v1.types.job_service.ListBatchPredictionJobsResponse
],
],
request: google.cloud.aiplatform_v1.types.job_service.ListBatchPredictionJobsRequest,
response: google.cloud.aiplatform_v1.types.job_service.ListBatchPredictionJobsResponse,
*,
metadata: Sequence[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: Callable[
[...],
google.cloud.aiplatform_v1.types.job_service.ListBatchPredictionJobsResponse,
],
request: google.cloud.aiplatform_v1.types.job_service.ListBatchPredictionJobsRequest,
response: google.cloud.aiplatform_v1.types.job_service.ListBatchPredictionJobsResponse,
*,
metadata: Sequence[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: Callable[
[...],
Awaitable[google.cloud.aiplatform_v1.types.job_service.ListCustomJobsResponse],
],
request: google.cloud.aiplatform_v1.types.job_service.ListCustomJobsRequest,
response: google.cloud.aiplatform_v1.types.job_service.ListCustomJobsResponse,
*,
metadata: Sequence[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: Callable[
[...], google.cloud.aiplatform_v1.types.job_service.ListCustomJobsResponse
],
request: google.cloud.aiplatform_v1.types.job_service.ListCustomJobsRequest,
response: google.cloud.aiplatform_v1.types.job_service.ListCustomJobsResponse,
*,
metadata: Sequence[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: Callable[
[...],
Awaitable[
google.cloud.aiplatform_v1.types.job_service.ListDataLabelingJobsResponse
],
],
request: google.cloud.aiplatform_v1.types.job_service.ListDataLabelingJobsRequest,
response: google.cloud.aiplatform_v1.types.job_service.ListDataLabelingJobsResponse,
*,
metadata: Sequence[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: Callable[
[...], google.cloud.aiplatform_v1.types.job_service.ListDataLabelingJobsResponse
],
request: google.cloud.aiplatform_v1.types.job_service.ListDataLabelingJobsRequest,
response: google.cloud.aiplatform_v1.types.job_service.ListDataLabelingJobsResponse,
*,
metadata: Sequence[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: Callable[
[...],
Awaitable[
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,
*,
metadata: Sequence[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: 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,
*,
metadata: Sequence[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: Callable[
[...],
Awaitable[
google.cloud.aiplatform_v1.types.job_service.ListModelDeploymentMonitoringJobsResponse
],
],
request: google.cloud.aiplatform_v1.types.job_service.ListModelDeploymentMonitoringJobsRequest,
response: google.cloud.aiplatform_v1.types.job_service.ListModelDeploymentMonitoringJobsResponse,
*,
metadata: Sequence[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: Callable[
[...],
google.cloud.aiplatform_v1.types.job_service.ListModelDeploymentMonitoringJobsResponse,
],
request: google.cloud.aiplatform_v1.types.job_service.ListModelDeploymentMonitoringJobsRequest,
response: google.cloud.aiplatform_v1.types.job_service.ListModelDeploymentMonitoringJobsResponse,
*,
metadata: Sequence[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: Callable[
[...],
Awaitable[google.cloud.aiplatform_v1.types.job_service.ListNasJobsResponse],
],
request: google.cloud.aiplatform_v1.types.job_service.ListNasJobsRequest,
response: google.cloud.aiplatform_v1.types.job_service.ListNasJobsResponse,
*,
metadata: Sequence[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: Callable[
[...], google.cloud.aiplatform_v1.types.job_service.ListNasJobsResponse
],
request: google.cloud.aiplatform_v1.types.job_service.ListNasJobsRequest,
response: google.cloud.aiplatform_v1.types.job_service.ListNasJobsResponse,
*,
metadata: Sequence[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: Callable[
[...],
Awaitable[
google.cloud.aiplatform_v1.types.job_service.ListNasTrialDetailsResponse
],
],
request: google.cloud.aiplatform_v1.types.job_service.ListNasTrialDetailsRequest,
response: google.cloud.aiplatform_v1.types.job_service.ListNasTrialDetailsResponse,
*,
metadata: Sequence[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: Callable[
[...], google.cloud.aiplatform_v1.types.job_service.ListNasTrialDetailsResponse
],
request: google.cloud.aiplatform_v1.types.job_service.ListNasTrialDetailsRequest,
response: google.cloud.aiplatform_v1.types.job_service.ListNasTrialDetailsResponse,
*,
metadata: Sequence[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: Callable[
[...],
Awaitable[
google.cloud.aiplatform_v1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesResponse
],
],
request: google.cloud.aiplatform_v1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesRequest,
response: google.cloud.aiplatform_v1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesResponse,
*,
metadata: Sequence[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: Callable[
[...],
google.cloud.aiplatform_v1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesResponse,
],
request: google.cloud.aiplatform_v1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesRequest,
response: google.cloud.aiplatform_v1.types.job_service.SearchModelDeploymentMonitoringStatsAnomaliesResponse,
*,
metadata: Sequence[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.