Comprehend / Client / describe_flywheel_iteration

describe_flywheel_iteration#

Comprehend.Client.describe_flywheel_iteration(**kwargs)#

Retrieve the configuration properties of a flywheel iteration. For more information about flywheels, see Flywheel overview in the Amazon Comprehend Developer Guide.

See also: AWS API Documentation

Request Syntax

response = client.describe_flywheel_iteration(
    FlywheelArn='string',
    FlywheelIterationId='string'
)
Parameters:

  • FlywheelArn (string) – [REQUIRED]

  • FlywheelIterationId (string) – [REQUIRED]

Return type:

dict

Returns:

Response Syntax

{
    'FlywheelIterationProperties': {
        'FlywheelArn': 'string',
        'FlywheelIterationId': 'string',
        'CreationTime': datetime(2015, 1, 1),
        'EndTime': datetime(2015, 1, 1),
        'Status': 'TRAINING'|'EVALUATING'|'COMPLETED'|'FAILED'|'STOP_REQUESTED'|'STOPPED',
        'Message': 'string',
        'EvaluatedModelArn': 'string',
        'EvaluatedModelMetrics': {
            'AverageF1Score': 123.0,
            'AveragePrecision': 123.0,
            'AverageRecall': 123.0,
            'AverageAccuracy': 123.0
        },
        'TrainedModelArn': 'string',
        'TrainedModelMetrics': {
            'AverageF1Score': 123.0,
            'AveragePrecision': 123.0,
            'AverageRecall': 123.0,
            'AverageAccuracy': 123.0
        },
        'EvaluationManifestS3Prefix': 'string'
    }
}

Response Structure

  • (dict) –

    • FlywheelIterationProperties (dict) –

      The configuration properties of a flywheel iteration.

      • FlywheelArn (string) –

      • FlywheelIterationId (string) –

      • CreationTime (datetime) –

        The creation start time of the flywheel iteration.

      • EndTime (datetime) –

        The completion time of this flywheel iteration.

      • Status (string) –

        The status of the flywheel iteration.

      • Message (string) –

        A description of the status of the flywheel iteration.

      • EvaluatedModelArn (string) –

        The ARN of the evaluated model associated with this flywheel iteration.

      • EvaluatedModelMetrics (dict) –

        The evaluation metrics associated with the evaluated model.

        • AverageF1Score (float) –

          The average F1 score from the evaluation metrics.

        • AveragePrecision (float) –

          Average precision metric for the model.

        • AverageRecall (float) –

          Average recall metric for the model.

        • AverageAccuracy (float) –

          Average accuracy metric for the model.

      • TrainedModelArn (string) –

        The ARN of the trained model associated with this flywheel iteration.

      • TrainedModelMetrics (dict) –

        The metrics associated with the trained model.

        • AverageF1Score (float) –

          The average F1 score from the evaluation metrics.

        • AveragePrecision (float) –

          Average precision metric for the model.

        • AverageRecall (float) –

          Average recall metric for the model.

        • AverageAccuracy (float) –

          Average accuracy metric for the model.

      • EvaluationManifestS3Prefix (string) –

Exceptions