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API documentation for aiplatform_v1beta1.services.model_monitoring_service.pagers
module.
Classes
ListModelMonitoringJobsAsyncPager
ListModelMonitoringJobsAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.aiplatform_v1beta1.types.model_monitoring_service.ListModelMonitoringJobsResponse
],
],
request: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.ListModelMonitoringJobsRequest,
response: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.ListModelMonitoringJobsResponse,
*,
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_monitoring_jobs
requests.
This class thinly wraps an initial
ListModelMonitoringJobsResponse object, and
provides an __aiter__
method to iterate through its
model_monitoring_jobs
field.
If there are more pages, the __aiter__
method will make additional
ListModelMonitoringJobs
requests and continue to iterate
through the model_monitoring_jobs
field on the
corresponding responses.
All the usual ListModelMonitoringJobsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListModelMonitoringJobsPager
ListModelMonitoringJobsPager(
method: typing.Callable[
[...],
google.cloud.aiplatform_v1beta1.types.model_monitoring_service.ListModelMonitoringJobsResponse,
],
request: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.ListModelMonitoringJobsRequest,
response: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.ListModelMonitoringJobsResponse,
*,
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_monitoring_jobs
requests.
This class thinly wraps an initial
ListModelMonitoringJobsResponse object, and
provides an __iter__
method to iterate through its
model_monitoring_jobs
field.
If there are more pages, the __iter__
method will make additional
ListModelMonitoringJobs
requests and continue to iterate
through the model_monitoring_jobs
field on the
corresponding responses.
All the usual ListModelMonitoringJobsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListModelMonitorsAsyncPager
ListModelMonitorsAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.aiplatform_v1beta1.types.model_monitoring_service.ListModelMonitorsResponse
],
],
request: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.ListModelMonitorsRequest,
response: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.ListModelMonitorsResponse,
*,
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_monitors
requests.
This class thinly wraps an initial
ListModelMonitorsResponse object, and
provides an __aiter__
method to iterate through its
model_monitors
field.
If there are more pages, the __aiter__
method will make additional
ListModelMonitors
requests and continue to iterate
through the model_monitors
field on the
corresponding responses.
All the usual ListModelMonitorsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListModelMonitorsPager
ListModelMonitorsPager(
method: typing.Callable[
[...],
google.cloud.aiplatform_v1beta1.types.model_monitoring_service.ListModelMonitorsResponse,
],
request: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.ListModelMonitorsRequest,
response: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.ListModelMonitorsResponse,
*,
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_monitors
requests.
This class thinly wraps an initial
ListModelMonitorsResponse object, and
provides an __iter__
method to iterate through its
model_monitors
field.
If there are more pages, the __iter__
method will make additional
ListModelMonitors
requests and continue to iterate
through the model_monitors
field on the
corresponding responses.
All the usual ListModelMonitorsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
SearchModelMonitoringAlertsAsyncPager
SearchModelMonitoringAlertsAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.aiplatform_v1beta1.types.model_monitoring_service.SearchModelMonitoringAlertsResponse
],
],
request: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.SearchModelMonitoringAlertsRequest,
response: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.SearchModelMonitoringAlertsResponse,
*,
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_monitoring_alerts
requests.
This class thinly wraps an initial
SearchModelMonitoringAlertsResponse object, and
provides an __aiter__
method to iterate through its
model_monitoring_alerts
field.
If there are more pages, the __aiter__
method will make additional
SearchModelMonitoringAlerts
requests and continue to iterate
through the model_monitoring_alerts
field on the
corresponding responses.
All the usual SearchModelMonitoringAlertsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
SearchModelMonitoringAlertsPager
SearchModelMonitoringAlertsPager(
method: typing.Callable[
[...],
google.cloud.aiplatform_v1beta1.types.model_monitoring_service.SearchModelMonitoringAlertsResponse,
],
request: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.SearchModelMonitoringAlertsRequest,
response: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.SearchModelMonitoringAlertsResponse,
*,
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_monitoring_alerts
requests.
This class thinly wraps an initial
SearchModelMonitoringAlertsResponse object, and
provides an __iter__
method to iterate through its
model_monitoring_alerts
field.
If there are more pages, the __iter__
method will make additional
SearchModelMonitoringAlerts
requests and continue to iterate
through the model_monitoring_alerts
field on the
corresponding responses.
All the usual SearchModelMonitoringAlertsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
SearchModelMonitoringStatsAsyncPager
SearchModelMonitoringStatsAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.aiplatform_v1beta1.types.model_monitoring_service.SearchModelMonitoringStatsResponse
],
],
request: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.SearchModelMonitoringStatsRequest,
response: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.SearchModelMonitoringStatsResponse,
*,
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_monitoring_stats
requests.
This class thinly wraps an initial
SearchModelMonitoringStatsResponse object, and
provides an __aiter__
method to iterate through its
monitoring_stats
field.
If there are more pages, the __aiter__
method will make additional
SearchModelMonitoringStats
requests and continue to iterate
through the monitoring_stats
field on the
corresponding responses.
All the usual SearchModelMonitoringStatsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
SearchModelMonitoringStatsPager
SearchModelMonitoringStatsPager(
method: typing.Callable[
[...],
google.cloud.aiplatform_v1beta1.types.model_monitoring_service.SearchModelMonitoringStatsResponse,
],
request: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.SearchModelMonitoringStatsRequest,
response: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.SearchModelMonitoringStatsResponse,
*,
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_monitoring_stats
requests.
This class thinly wraps an initial
SearchModelMonitoringStatsResponse object, and
provides an __iter__
method to iterate through its
monitoring_stats
field.
If there are more pages, the __iter__
method will make additional
SearchModelMonitoringStats
requests and continue to iterate
through the monitoring_stats
field on the
corresponding responses.
All the usual SearchModelMonitoringStatsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.