Amazon Personalize

2019/09/17 - Amazon Personalize - 1 updated api methods

Changes  Update personalize client to latest version

DescribeSolutionVersion (updated) Link ΒΆ
Changes (response)
{'solutionVersion': {'trainingHours': 'double'}}

Describes a specific version of a solution. For more information on solutions, see CreateSolution.

See also: AWS API Documentation

Request Syntax

client.describe_solution_version(
    solutionVersionArn='string'
)
type solutionVersionArn

string

param solutionVersionArn

[REQUIRED]

The Amazon Resource Name (ARN) of the solution version.

rtype

dict

returns

Response Syntax

{
    'solutionVersion': {
        'solutionVersionArn': 'string',
        'solutionArn': 'string',
        'performHPO': True|False,
        'performAutoML': True|False,
        'recipeArn': 'string',
        'eventType': 'string',
        'datasetGroupArn': 'string',
        'solutionConfig': {
            'eventValueThreshold': 'string',
            'hpoConfig': {
                'hpoObjective': {
                    'type': 'string',
                    'metricName': 'string',
                    'metricRegex': 'string'
                },
                'hpoResourceConfig': {
                    'maxNumberOfTrainingJobs': 'string',
                    'maxParallelTrainingJobs': 'string'
                },
                'algorithmHyperParameterRanges': {
                    'integerHyperParameterRanges': [
                        {
                            'name': 'string',
                            'minValue': 123,
                            'maxValue': 123
                        },
                    ],
                    'continuousHyperParameterRanges': [
                        {
                            'name': 'string',
                            'minValue': 123.0,
                            'maxValue': 123.0
                        },
                    ],
                    'categoricalHyperParameterRanges': [
                        {
                            'name': 'string',
                            'values': [
                                'string',
                            ]
                        },
                    ]
                }
            },
            'algorithmHyperParameters': {
                'string': 'string'
            },
            'featureTransformationParameters': {
                'string': 'string'
            },
            'autoMLConfig': {
                'metricName': 'string',
                'recipeList': [
                    'string',
                ]
            }
        },
        'trainingHours': 123.0,
        'status': 'string',
        'failureReason': 'string',
        'creationDateTime': datetime(2015, 1, 1),
        'lastUpdatedDateTime': datetime(2015, 1, 1)
    }
}

Response Structure

  • (dict) --

    • solutionVersion (dict) --

      The solution version.

      • solutionVersionArn (string) --

        The ARN of the solution version.

      • solutionArn (string) --

        The ARN of the solution.

      • performHPO (boolean) --

        Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false .

      • performAutoML (boolean) --

        When true, Amazon Personalize performs a search for the most optimal recipe according to the solution configuration. When false (the default), Amazon Personalize uses recipeArn .

      • recipeArn (string) --

        The ARN of the recipe used in the solution.

      • eventType (string) --

        The event type (for example, 'click' or 'like') that is used for training the model.

      • datasetGroupArn (string) --

        The Amazon Resource Name (ARN) of the dataset group providing the training data.

      • solutionConfig (dict) --

        Describes the configuration properties for the solution.

        • eventValueThreshold (string) --

          Only events with a value greater than or equal to this threshold are used for training a model.

        • hpoConfig (dict) --

          Describes the properties for hyperparameter optimization (HPO). For use with the bring-your-own-recipe feature. Not used with Amazon Personalize predefined recipes.

          • hpoObjective (dict) --

            The metric to optimize during HPO.

            • type (string) --

              The data type of the metric.

            • metricName (string) --

              The name of the metric.

            • metricRegex (string) --

              A regular expression for finding the metric in the training job logs.

          • hpoResourceConfig (dict) --

            Describes the resource configuration for HPO.

            • maxNumberOfTrainingJobs (string) --

              The maximum number of training jobs.

            • maxParallelTrainingJobs (string) --

              The maximum number of parallel training jobs.

          • algorithmHyperParameterRanges (dict) --

            The hyperparameters and their allowable ranges.

            • integerHyperParameterRanges (list) --

              The integer-valued hyperparameters and their ranges.

              • (dict) --

                Provides the name and range of an integer-valued hyperparameter.

                • name (string) --

                  The name of the hyperparameter.

                • minValue (integer) --

                  The minimum allowable value for the hyperparameter.

                • maxValue (integer) --

                  The maximum allowable value for the hyperparameter.

            • continuousHyperParameterRanges (list) --

              The continuous hyperparameters and their ranges.

              • (dict) --

                Provides the name and range of a continuous hyperparameter.

                • name (string) --

                  The name of the hyperparameter.

                • minValue (float) --

                  The minimum allowable value for the hyperparameter.

                • maxValue (float) --

                  The maximum allowable value for the hyperparameter.

            • categoricalHyperParameterRanges (list) --

              The categorical hyperparameters and their ranges.

              • (dict) --

                Provides the name and range of a categorical hyperparameter.

                • name (string) --

                  The name of the hyperparameter.

                • values (list) --

                  A list of the categories for the hyperparameter.

                  • (string) --

        • algorithmHyperParameters (dict) --

          Lists the hyperparameter names and ranges.

          • (string) --

            • (string) --

        • featureTransformationParameters (dict) --

          Lists the feature transformation parameters.

          • (string) --

            • (string) --

        • autoMLConfig (dict) --

          The AutoMLConfig object containing a list of recipes to search when AutoML is performed.

          • metricName (string) --

            The metric to optimize.

          • recipeList (list) --

            The list of candidate recipes.

            • (string) --

      • trainingHours (float) --

        The time used to train the model.

      • status (string) --

        The status of the solution version.

        A solution version can be in one of the following states:

        • CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

      • failureReason (string) --

        If training a solution version fails, the reason behind the failure.

      • creationDateTime (datetime) --

        The date and time (in Unix time) that this version of the solution was created.

      • lastUpdatedDateTime (datetime) --

        The date and time (in Unix time) that the solution was last updated.