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API documentation for aiplatform_v1beta1.services.feature_registry_service.pagers
module.
Classes
ListFeatureGroupsAsyncPager
ListFeatureGroupsAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureGroupsResponse
],
],
request: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureGroupsRequest,
response: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureGroupsResponse,
*,
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_feature_groups
requests.
This class thinly wraps an initial
ListFeatureGroupsResponse object, and
provides an __aiter__
method to iterate through its
feature_groups
field.
If there are more pages, the __aiter__
method will make additional
ListFeatureGroups
requests and continue to iterate
through the feature_groups
field on the
corresponding responses.
All the usual ListFeatureGroupsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListFeatureGroupsPager
ListFeatureGroupsPager(
method: typing.Callable[
[...],
google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureGroupsResponse,
],
request: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureGroupsRequest,
response: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureGroupsResponse,
*,
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_feature_groups
requests.
This class thinly wraps an initial
ListFeatureGroupsResponse object, and
provides an __iter__
method to iterate through its
feature_groups
field.
If there are more pages, the __iter__
method will make additional
ListFeatureGroups
requests and continue to iterate
through the feature_groups
field on the
corresponding responses.
All the usual ListFeatureGroupsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListFeatureMonitorJobsAsyncPager
ListFeatureMonitorJobsAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureMonitorJobsResponse
],
],
request: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureMonitorJobsRequest,
response: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureMonitorJobsResponse,
*,
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_feature_monitor_jobs
requests.
This class thinly wraps an initial
ListFeatureMonitorJobsResponse object, and
provides an __aiter__
method to iterate through its
feature_monitor_jobs
field.
If there are more pages, the __aiter__
method will make additional
ListFeatureMonitorJobs
requests and continue to iterate
through the feature_monitor_jobs
field on the
corresponding responses.
All the usual ListFeatureMonitorJobsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListFeatureMonitorJobsPager
ListFeatureMonitorJobsPager(
method: typing.Callable[
[...],
google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureMonitorJobsResponse,
],
request: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureMonitorJobsRequest,
response: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureMonitorJobsResponse,
*,
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_feature_monitor_jobs
requests.
This class thinly wraps an initial
ListFeatureMonitorJobsResponse object, and
provides an __iter__
method to iterate through its
feature_monitor_jobs
field.
If there are more pages, the __iter__
method will make additional
ListFeatureMonitorJobs
requests and continue to iterate
through the feature_monitor_jobs
field on the
corresponding responses.
All the usual ListFeatureMonitorJobsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListFeatureMonitorsAsyncPager
ListFeatureMonitorsAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureMonitorsResponse
],
],
request: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureMonitorsRequest,
response: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureMonitorsResponse,
*,
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_feature_monitors
requests.
This class thinly wraps an initial
ListFeatureMonitorsResponse object, and
provides an __aiter__
method to iterate through its
feature_monitors
field.
If there are more pages, the __aiter__
method will make additional
ListFeatureMonitors
requests and continue to iterate
through the feature_monitors
field on the
corresponding responses.
All the usual ListFeatureMonitorsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListFeatureMonitorsPager
ListFeatureMonitorsPager(
method: typing.Callable[
[...],
google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureMonitorsResponse,
],
request: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureMonitorsRequest,
response: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureMonitorsResponse,
*,
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_feature_monitors
requests.
This class thinly wraps an initial
ListFeatureMonitorsResponse object, and
provides an __iter__
method to iterate through its
feature_monitors
field.
If there are more pages, the __iter__
method will make additional
ListFeatureMonitors
requests and continue to iterate
through the feature_monitors
field on the
corresponding responses.
All the usual ListFeatureMonitorsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListFeaturesAsyncPager
ListFeaturesAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesResponse
],
],
request: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesRequest,
response: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesResponse,
*,
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_features
requests.
This class thinly wraps an initial
ListFeaturesResponse object, and
provides an __aiter__
method to iterate through its
features
field.
If there are more pages, the __aiter__
method will make additional
ListFeatures
requests and continue to iterate
through the features
field on the
corresponding responses.
All the usual ListFeaturesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListFeaturesPager
ListFeaturesPager(
method: typing.Callable[
[...],
google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesResponse,
],
request: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesRequest,
response: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesResponse,
*,
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_features
requests.
This class thinly wraps an initial
ListFeaturesResponse object, and
provides an __iter__
method to iterate through its
features
field.
If there are more pages, the __iter__
method will make additional
ListFeatures
requests and continue to iterate
through the features
field on the
corresponding responses.
All the usual ListFeaturesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.