:doc:`CleanRoomsML <../../cleanroomsml>` / Client / get_ml_configuration

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get_ml_configuration
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.. py:method:: CleanRoomsML.Client.get_ml_configuration(**kwargs)

  

  Returns information about a specific ML configuration.

  

  See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/cleanroomsml-2023-09-06/GetMLConfiguration>`_  


  **Request Syntax**
  ::

    response = client.get_ml_configuration(
        membershipIdentifier='string'
    )
    
  :type membershipIdentifier: string
  :param membershipIdentifier: **[REQUIRED]** 

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

    

  
  
  :rtype: 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**
  
  *   :py:class:`CleanRoomsML.Client.exceptions.ValidationException`

  
  *   :py:class:`CleanRoomsML.Client.exceptions.AccessDeniedException`

  
  *   :py:class:`CleanRoomsML.Client.exceptions.ResourceNotFoundException`

  
  *   :py:class:`CleanRoomsML.Client.exceptions.ThrottlingException`

  