CleanRoomsML / Client / get_training_dataset

get_training_dataset

CleanRoomsML.Client.get_training_dataset(**kwargs)

Returns information about a training dataset.

See also: AWS API Documentation

Request Syntax

response = client.get_training_dataset(
    trainingDatasetArn='string'
)
Parameters:

trainingDatasetArn (string) –

[REQUIRED]

The Amazon Resource Name (ARN) of the training dataset that you are interested in.

Return type:

dict

Returns:

Response Syntax

{
    'createTime': datetime(2015, 1, 1),
    'updateTime': datetime(2015, 1, 1),
    'trainingDatasetArn': 'string',
    'name': 'string',
    'trainingData': [
        {
            'type': 'INTERACTIONS',
            'inputConfig': {
                'schema': [
                    {
                        'columnName': 'string',
                        'columnTypes': [
                            'USER_ID'|'ITEM_ID'|'TIMESTAMP'|'CATEGORICAL_FEATURE'|'NUMERICAL_FEATURE',
                        ]
                    },
                ],
                'dataSource': {
                    'glueDataSource': {
                        'tableName': 'string',
                        'databaseName': 'string',
                        'catalogId': 'string'
                    }
                }
            }
        },
    ],
    'status': 'ACTIVE',
    'roleArn': 'string',
    'tags': {
        'string': 'string'
    },
    'description': 'string'
}

Response Structure

  • (dict) –

    • createTime (datetime) –

      The time at which the training dataset was created.

    • updateTime (datetime) –

      The most recent time at which the training dataset was updated.

    • trainingDatasetArn (string) –

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

    • name (string) –

      The name of the training dataset.

    • trainingData (list) –

      Metadata about the requested training data.

      • (dict) –

        Defines where the training dataset is located, what type of data it contains, and how to access the data.

        • type (string) –

          What type of information is found in the dataset.

        • inputConfig (dict) –

          A DatasetInputConfig object that defines the data source and schema mapping.

          • schema (list) –

            The schema information for the training data.

            • (dict) –

              Metadata for a column.

              • columnName (string) –

                The name of a column.

              • columnTypes (list) –

                The data type of column.

                • (string) –

          • dataSource (dict) –

            A DataSource object that specifies the Glue data source for the training data.

            • glueDataSource (dict) –

              A GlueDataSource object that defines the catalog ID, database name, and table name for the training data.

              • tableName (string) –

                The Glue table that contains the training data.

              • databaseName (string) –

                The Glue database that contains the training data.

              • catalogId (string) –

                The Glue catalog that contains the training data.

    • status (string) –

      The status of the training dataset.

    • roleArn (string) –

      The IAM role used to read the training data.

    • tags (dict) –

      The tags that are assigned to this training dataset.

      • (string) –

        • (string) –

    • description (string) –

      The description of the training dataset.

Exceptions