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ListMetricAttributionMetrics

class Personalize.Paginator.ListMetricAttributionMetrics
paginator = client.get_paginator('list_metric_attribution_metrics')
paginate(**kwargs)

Creates an iterator that will paginate through responses from Personalize.Client.list_metric_attribution_metrics().

See also: AWS API Documentation

Request Syntax

response_iterator = paginator.paginate(
    metricAttributionArn='string',
    PaginationConfig={
        'MaxItems': 123,
        'PageSize': 123,
        'StartingToken': 'string'
    }
)
Parameters
  • metricAttributionArn (string) -- The Amazon Resource Name (ARN) of the metric attribution to retrieve attributes for.
  • 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

{
    'metrics': [
        {
            'eventType': 'string',
            'metricName': 'string',
            'expression': 'string'
        },
    ],
    'NextToken': 'string'
}

Response Structure

  • (dict) --

    • metrics (list) --

      The metrics for the specified metric attribution.

      • (dict) --

        Contains information on a metric that a metric attribution reports on. For more information, see Measuring impact of recommendations.

        • eventType (string) --

          The metric's event type.

        • metricName (string) --

          The metric's name. The name helps you identify the metric in Amazon CloudWatch or Amazon S3.

        • expression (string) --

          The attribute's expression. Available functions are SUM() or SAMPLECOUNT() . For SUM() functions, provide the dataset type (either Interactions or Items) and column to sum as a parameter. For example SUM(Items.PRICE).

    • NextToken (string) --

      A token to resume pagination.