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API documentation for aiplatform_v1beta1.services.model_service.pagers
module.
Classes
ListModelEvaluationSlicesAsyncPager
ListModelEvaluationSlicesAsyncPager(
method: Callable[
[...],
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: Sequence[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: 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: Sequence[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: Callable[
[...],
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: Sequence[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: 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: Sequence[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.
ListModelsAsyncPager
ListModelsAsyncPager(
method: Callable[
[...],
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: Sequence[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: 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: Sequence[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.