SageMaker / Paginator / ListModelMetadata


class SageMaker.Paginator.ListModelMetadata#
paginator = client.get_paginator('list_model_metadata')

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(
        'Filters': [
                'Name': 'Domain'|'Framework'|'Task'|'FrameworkVersion',
                'Value': 'string'
        'MaxItems': 123,
        'PageSize': 123,
        'StartingToken': 'string'
  • 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:



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.