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
CleanRoomsML.Client.exceptions.ValidationException
CleanRoomsML.Client.exceptions.AccessDeniedException
CleanRoomsML.Client.exceptions.ResourceNotFoundException