ListModelMetadata

class SageMaker.Paginator.ListModelMetadata

paginator = client.get_paginator('list_model_metadata')

paginate(**kwargs)

Creates an iterator that will paginate through responses from SageMaker.Client.list_model_metadata().

See also: AWS API Documentation

Request Syntax

response_iterator = paginator.paginate(
    SearchExpression={
        'Filters': [
            {
                'Name': 'Domain'|'Framework'|'Task'|'FrameworkVersion',
                'Value': 'string'
            },
        ]
    },
    PaginationConfig={
        'MaxItems': 123,
        'PageSize': 123,
        'StartingToken': 'string'
    }
)

Parameters

• SearchExpression (dict) --

  One or more filters that searches for the specified resource or resources in a search. All resource objects that satisfy the expression's condition are included in the search results. Specify the Framework, FrameworkVersion, Domain or Task to filter supported. Filter names and values are case-sensitive.

  • Filters (list) --

    A list of filter objects.

    • (dict) --

      Part of the search expression. You can specify the name and value (domain, task, framework, framework version, task, and model).

      • Name (string) -- [REQUIRED]

        The name of the of the model to filter by.

      • Value (string) -- [REQUIRED]

        The value to filter the model metadata.

• PaginationConfig (dict) --

  A dictionary that provides parameters to control pagination.

  • MaxItems (integer) --

    The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken will be provided in the output that you can use to resume pagination.

  • PageSize (integer) --

    The size of each page.

  • StartingToken (string) --

    A token to specify where to start paginating. This is the NextToken from a previous response.

Return type

dict

Returns

Response Syntax

{
    'ModelMetadataSummaries': [
        {
            'Domain': 'string',
            'Framework': 'string',
            'Task': 'string',
            'Model': 'string',
            'FrameworkVersion': 'string'
        },
    ],

}

Response Structure

• (dict) --

  • ModelMetadataSummaries (list) --

    A structure that holds model metadata.

    • (dict) --

      A summary of the model metadata.

      • Domain (string) --

        The machine learning domain of the model.

      • Framework (string) --

        The machine learning framework of the model.

      • Task (string) --

        The machine learning task of the model.

      • Model (string) --

        The name of the model.

      • FrameworkVersion (string) --

        The framework version of the model.