Class ListModelEvaluationSlicesPager (1.26.1)

Version 1.26.1

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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.

Inheritance

builtins.object > ListModelEvaluationSlicesPager

Methods

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]] = ()
)

Instantiate the pager.

Parameters
Name	Description
method	Callable The method that was originally called, and which instantiated this pager.
request	google.cloud.aiplatform_v1beta1.types.ListModelEvaluationSlicesRequest The initial request object.
response	google.cloud.aiplatform_v1beta1.types.ListModelEvaluationSlicesResponse The initial response object.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.