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

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

  

  Returns information about an audience model

  

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


  **Request Syntax**
  ::

    response = client.get_audience_model(
        audienceModelArn='string'
    )
    
  :type audienceModelArn: string
  :param audienceModelArn: **[REQUIRED]** 

    The Amazon Resource Name (ARN) of the audience model that you are interested in.

    

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

    
    ::

      {
          'createTime': datetime(2015, 1, 1),
          'updateTime': datetime(2015, 1, 1),
          'trainingDataStartTime': datetime(2015, 1, 1),
          'trainingDataEndTime': datetime(2015, 1, 1),
          'audienceModelArn': 'string',
          'name': 'string',
          'trainingDatasetArn': 'string',
          'status': 'CREATE_PENDING'|'CREATE_IN_PROGRESS'|'CREATE_FAILED'|'ACTIVE'|'DELETE_PENDING'|'DELETE_IN_PROGRESS'|'DELETE_FAILED',
          'statusDetails': {
              'statusCode': 'string',
              'message': 'string'
          },
          'kmsKeyArn': 'string',
          'tags': {
              'string': 'string'
          },
          'description': 'string'
      }
      
    **Response Structure**

    

    - *(dict) --* 
      

      - **createTime** *(datetime) --* 

        The time at which the audience model was created.

        
      

      - **updateTime** *(datetime) --* 

        The most recent time at which the audience model was updated.

        
      

      - **trainingDataStartTime** *(datetime) --* 

        The start date specified for the training window.

        
      

      - **trainingDataEndTime** *(datetime) --* 

        The end date specified for the training window.

        
      

      - **audienceModelArn** *(string) --* 

        The Amazon Resource Name (ARN) of the audience model.

        
      

      - **name** *(string) --* 

        The name of the audience model.

        
      

      - **trainingDatasetArn** *(string) --* 

        The Amazon Resource Name (ARN) of the training dataset that was used for this audience model.

        
      

      - **status** *(string) --* 

        The status of the audience model.

        
      

      - **statusDetails** *(dict) --* 

        Details about the status of the audience model.

        
        

        - **statusCode** *(string) --* 

          The status code that was returned. The status code is intended for programmatic error handling. Clean Rooms ML will not change the status code for existing error conditions.

          
        

        - **message** *(string) --* 

          The error message that was returned. The message is intended for human consumption and can change at any time. Use the ``statusCode`` for programmatic error handling.

          
    
      

      - **kmsKeyArn** *(string) --* 

        The KMS key ARN used for the audience model.

        
      

      - **tags** *(dict) --* 

        The tags that are assigned to the audience model.

        
        

        - *(string) --* 
          

          - *(string) --* 
    
  
      

      - **description** *(string) --* 

        The description of the audience model.

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

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

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

  