SageMaker / Client / delete_mlflow_tracking_server

delete_mlflow_tracking_server#

SageMaker.Client.delete_mlflow_tracking_server(**kwargs)#

Deletes an MLflow Tracking Server. For more information, see Clean up MLflow resources.

See also: AWS API Documentation

Request Syntax

response = client.delete_mlflow_tracking_server(
    TrackingServerName='string'
)
Parameters:

TrackingServerName (string) –

[REQUIRED]

The name of the the tracking server to delete.

Return type:

dict

Returns:

Response Syntax

{
    'TrackingServerArn': 'string'
}

Response Structure

  • (dict) –

    • TrackingServerArn (string) –

      A TrackingServerArn object, the ARN of the tracking server that is deleted if successfully found.

Exceptions

  • SageMaker.Client.exceptions.ResourceNotFound