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API documentation for aiplatform_v1beta1.services.model_service.pagers module.
Classes
ListModelEvaluationSlicesAsyncPager
ListModelEvaluationSlicesAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationSlicesResponse
],
],
request: google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationSlicesRequest,
response: google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationSlicesResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)A pager for iterating through list_model_evaluation_slices requests.
This class thinly wraps an initial
ListModelEvaluationSlicesResponse object, and
provides an __aiter__ method to iterate through its
model_evaluation_slices field.
If there are more pages, the __aiter__ method will make additional
ListModelEvaluationSlices requests and continue to iterate
through the model_evaluation_slices field on the
corresponding responses.
All the usual ListModelEvaluationSlicesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListModelEvaluationSlicesPager
ListModelEvaluationSlicesPager(
method: typing.Callable[
[...],
google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationSlicesResponse,
],
request: google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationSlicesRequest,
response: google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationSlicesResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)A pager for iterating through list_model_evaluation_slices requests.
This class thinly wraps an initial
ListModelEvaluationSlicesResponse object, and
provides an __iter__ method to iterate through its
model_evaluation_slices field.
If there are more pages, the __iter__ method will make additional
ListModelEvaluationSlices requests and continue to iterate
through the model_evaluation_slices field on the
corresponding responses.
All the usual ListModelEvaluationSlicesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListModelEvaluationsAsyncPager
ListModelEvaluationsAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationsResponse
],
],
request: google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationsRequest,
response: google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationsResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)A pager for iterating through list_model_evaluations requests.
This class thinly wraps an initial
ListModelEvaluationsResponse object, and
provides an __aiter__ method to iterate through its
model_evaluations field.
If there are more pages, the __aiter__ method will make additional
ListModelEvaluations requests and continue to iterate
through the model_evaluations field on the
corresponding responses.
All the usual ListModelEvaluationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListModelEvaluationsPager
ListModelEvaluationsPager(
method: typing.Callable[
[...],
google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationsResponse,
],
request: google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationsRequest,
response: google.cloud.aiplatform_v1beta1.types.model_service.ListModelEvaluationsResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)A pager for iterating through list_model_evaluations requests.
This class thinly wraps an initial
ListModelEvaluationsResponse object, and
provides an __iter__ method to iterate through its
model_evaluations field.
If there are more pages, the __iter__ method will make additional
ListModelEvaluations requests and continue to iterate
through the model_evaluations field on the
corresponding responses.
All the usual ListModelEvaluationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListModelVersionsAsyncPager
ListModelVersionsAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.aiplatform_v1beta1.types.model_service.ListModelVersionsResponse
],
],
request: google.cloud.aiplatform_v1beta1.types.model_service.ListModelVersionsRequest,
response: google.cloud.aiplatform_v1beta1.types.model_service.ListModelVersionsResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)A pager for iterating through list_model_versions requests.
This class thinly wraps an initial
ListModelVersionsResponse object, and
provides an __aiter__ method to iterate through its
models field.
If there are more pages, the __aiter__ method will make additional
ListModelVersions requests and continue to iterate
through the models field on the
corresponding responses.
All the usual ListModelVersionsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListModelVersionsPager
ListModelVersionsPager(
method: typing.Callable[
[...],
google.cloud.aiplatform_v1beta1.types.model_service.ListModelVersionsResponse,
],
request: google.cloud.aiplatform_v1beta1.types.model_service.ListModelVersionsRequest,
response: google.cloud.aiplatform_v1beta1.types.model_service.ListModelVersionsResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)A pager for iterating through list_model_versions requests.
This class thinly wraps an initial
ListModelVersionsResponse object, and
provides an __iter__ method to iterate through its
models field.
If there are more pages, the __iter__ method will make additional
ListModelVersions requests and continue to iterate
through the models field on the
corresponding responses.
All the usual ListModelVersionsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListModelsAsyncPager
ListModelsAsyncPager(
method: typing.Callable[
[...],
typing.Awaitable[
google.cloud.aiplatform_v1beta1.types.model_service.ListModelsResponse
],
],
request: google.cloud.aiplatform_v1beta1.types.model_service.ListModelsRequest,
response: google.cloud.aiplatform_v1beta1.types.model_service.ListModelsResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)A pager for iterating through list_models requests.
This class thinly wraps an initial
ListModelsResponse object, and
provides an __aiter__ method to iterate through its
models field.
If there are more pages, the __aiter__ method will make additional
ListModels requests and continue to iterate
through the models field on the
corresponding responses.
All the usual ListModelsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListModelsPager
ListModelsPager(
method: typing.Callable[
[...], google.cloud.aiplatform_v1beta1.types.model_service.ListModelsResponse
],
request: google.cloud.aiplatform_v1beta1.types.model_service.ListModelsRequest,
response: google.cloud.aiplatform_v1beta1.types.model_service.ListModelsResponse,
*,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)A pager for iterating through list_models requests.
This class thinly wraps an initial
ListModelsResponse object, and
provides an __iter__ method to iterate through its
models field.
If there are more pages, the __iter__ method will make additional
ListModels requests and continue to iterate
through the models field on the
corresponding responses.
All the usual ListModelsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.