CleanRoomsML / Client / get_ml_configuration

get_ml_configuration#

CleanRoomsML.Client.get_ml_configuration(**kwargs)#

Returns information about a specific ML configuration.

See also: AWS API Documentation

Request Syntax

response = client.get_ml_configuration(
    membershipIdentifier='string'
)
Parameters:

membershipIdentifier (string) –

[REQUIRED]

The membership ID of the member that owns the ML configuration you want to return information about.

Return type:

dict

Returns:

Response Syntax

{
    'membershipIdentifier': 'string',
    'defaultOutputLocation': {
        'destination': {
            's3Destination': {
                's3Uri': 'string'
            }
        },
        'roleArn': 'string'
    },
    'createTime': datetime(2015, 1, 1),
    'updateTime': datetime(2015, 1, 1)
}

Response Structure

  • (dict) –

    • membershipIdentifier (string) –

      The membership ID of the member that owns the ML configuration you requested.

    • defaultOutputLocation (dict) –

      The Amazon S3 location where ML model output is stored.

      • destination (dict) –

        The Amazon S3 location where exported model artifacts are stored.

        • s3Destination (dict) –

          Provides information about an Amazon S3 bucket and path.

          • s3Uri (string) –

            The Amazon S3 location URI.

      • roleArn (string) –

        The Amazon Resource Name (ARN) of the service access role that is used to store the model artifacts.

    • createTime (datetime) –

      The time at which the ML configuration was created.

    • updateTime (datetime) –

      The most recent time at which the ML configuration was updated.

Exceptions