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

***************************
delete_trained_model_output
***************************



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

  

  Deletes the model artifacts stored by the service.

  

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


  **Request Syntax**
  ::

    response = client.delete_trained_model_output(
        trainedModelArn='string',
        membershipIdentifier='string',
        versionIdentifier='string'
    )
    
  :type trainedModelArn: string
  :param trainedModelArn: **[REQUIRED]** 

    The Amazon Resource Name (ARN) of the trained model whose output you want to delete.

    

  
  :type membershipIdentifier: string
  :param membershipIdentifier: **[REQUIRED]** 

    The membership ID of the member that is deleting the trained model output.

    

  
  :type versionIdentifier: string
  :param versionIdentifier: 

    The version identifier of the trained model to delete. If not specified, the operation will delete the base version of the trained model. When specified, only the particular version will be deleted.

    

  
  
  :returns: None
  **Exceptions**
  
  *   :py:class:`CleanRoomsML.Client.exceptions.ConflictException`

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

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

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

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

  