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GetBehaviorModelTrainingSummaries

class IoT.Paginator.GetBehaviorModelTrainingSummaries
paginator = client.get_paginator('get_behavior_model_training_summaries')
paginate(**kwargs)

Creates an iterator that will paginate through responses from IoT.Client.get_behavior_model_training_summaries().

See also: AWS API Documentation

Request Syntax

response_iterator = paginator.paginate(
    securityProfileName='string',
    PaginationConfig={
        'MaxItems': 123,
        'PageSize': 123,
        'StartingToken': 'string'
    }
)
Parameters
  • securityProfileName (string) -- The name of the security profile.
  • 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

{
    'summaries': [
        {
            'securityProfileName': 'string',
            'behaviorName': 'string',
            'trainingDataCollectionStartDate': datetime(2015, 1, 1),
            'modelStatus': 'PENDING_BUILD'|'ACTIVE'|'EXPIRED',
            'datapointsCollectionPercentage': 123.0,
            'lastModelRefreshDate': datetime(2015, 1, 1)
        },
    ],
    'NextToken': 'string'
}

Response Structure

  • (dict) --

    • summaries (list) --

      A list of all ML Detect behaviors and their model status for a given Security Profile.

      • (dict) --

        The summary of an ML Detect behavior model.

        • securityProfileName (string) --

          The name of the security profile.

        • behaviorName (string) --

          The name of the behavior.

        • trainingDataCollectionStartDate (datetime) --

          The date a training model started collecting data.

        • modelStatus (string) --

          The status of the behavior model.

        • datapointsCollectionPercentage (float) --

          The percentage of datapoints collected.

        • lastModelRefreshDate (datetime) --

          The date the model was last refreshed.

    • NextToken (string) --

      A token to resume pagination.