LookoutforVision / Paginator / ListModels


class LookoutforVision.Paginator.ListModels#
paginator = client.get_paginator('list_models')

Creates an iterator that will paginate through responses from LookoutforVision.Client.list_models().

See also: AWS API Documentation

Request Syntax

response_iterator = paginator.paginate(
        'MaxItems': 123,
        'PageSize': 123,
        'StartingToken': 'string'
  • ProjectName (string) –


    The name of the project that contains the model versions that you want to list.

  • 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

    'Models': [
            'CreationTimestamp': datetime(2015, 1, 1),
            'ModelVersion': 'string',
            'ModelArn': 'string',
            'Description': 'string',
            'StatusMessage': 'string',
            'Performance': {
                'F1Score': ...,
                'Recall': ...,
                'Precision': ...


Response Structure

  • (dict) –

    • Models (list) –

      A list of model versions in the specified project.

      • (dict) –

        Describes an Amazon Lookout for Vision model.

        • CreationTimestamp (datetime) –

          The unix timestamp for the date and time that the model was created.

        • ModelVersion (string) –

          The version of the model.

        • ModelArn (string) –

          The Amazon Resource Name (ARN) of the model.

        • Description (string) –

          The description for the model.

        • Status (string) –

          The status of the model.

        • StatusMessage (string) –

          The status message for the model.

        • Performance (dict) –

          Performance metrics for the model. Not available until training has successfully completed.

          • F1Score (float) –

            The overall F1 score metric for the trained model.

          • Recall (float) –

            The overall recall metric value for the trained model.

          • Precision (float) –

            The overall precision metric value for the trained model.