:doc:`SageMaker <../../sagemaker>` / Client / stop_mlflow_tracking_server

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stop_mlflow_tracking_server
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.. py:method:: SageMaker.Client.stop_mlflow_tracking_server(**kwargs)

  

  Programmatically stop an MLflow Tracking Server.

  

  See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StopMlflowTrackingServer>`_  


  **Request Syntax**
  ::

    response = client.stop_mlflow_tracking_server(
        TrackingServerName='string'
    )
    
  :type TrackingServerName: string
  :param TrackingServerName: **[REQUIRED]** 

    The name of the tracking server to stop.

    

  
  
  :rtype: dict
  :returns: 
    
    **Response Syntax**

    
    ::

      {
          'TrackingServerArn': 'string'
      }
      
    **Response Structure**

    

    - *(dict) --* 
      

      - **TrackingServerArn** *(string) --* 

        The ARN of the stopped tracking server.

        
  
  **Exceptions**
  
  *   :py:class:`SageMaker.Client.exceptions.ConflictException`

  
  *   :py:class:`SageMaker.Client.exceptions.ResourceNotFound`

  