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

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

  

  Returns a list of trained model inference jobs that match the request parameters.

  

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


  **Request Syntax**
  ::

    response = client.list_trained_model_inference_jobs(
        nextToken='string',
        maxResults=123,
        membershipIdentifier='string',
        trainedModelArn='string',
        trainedModelVersionIdentifier='string'
    )
    
  :type nextToken: string
  :param nextToken: 

    The token value retrieved from a previous call to access the next page of results.

    

  
  :type maxResults: integer
  :param maxResults: 

    The maximum size of the results that is returned per call.

    

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

    The membership

    

  
  :type trainedModelArn: string
  :param trainedModelArn: 

    The Amazon Resource Name (ARN) of a trained model that was used to create the trained model inference jobs that you are interested in.

    

  
  :type trainedModelVersionIdentifier: string
  :param trainedModelVersionIdentifier: 

    The version identifier of the trained model to filter inference jobs by. When specified, only inference jobs that used this specific version of the trained model are returned.

    

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

    
    ::

      {
          'nextToken': 'string',
          'trainedModelInferenceJobs': [
              {
                  'trainedModelInferenceJobArn': 'string',
                  'configuredModelAlgorithmAssociationArn': 'string',
                  'membershipIdentifier': 'string',
                  'trainedModelArn': 'string',
                  'trainedModelVersionIdentifier': 'string',
                  'collaborationIdentifier': 'string',
                  'status': 'CREATE_PENDING'|'CREATE_IN_PROGRESS'|'CREATE_FAILED'|'ACTIVE'|'CANCEL_PENDING'|'CANCEL_IN_PROGRESS'|'CANCEL_FAILED'|'INACTIVE',
                  'outputConfiguration': {
                      'accept': 'string',
                      'members': [
                          {
                              'accountId': 'string'
                          },
                      ]
                  },
                  'name': 'string',
                  'description': 'string',
                  'metricsStatus': 'PUBLISH_SUCCEEDED'|'PUBLISH_FAILED',
                  'metricsStatusDetails': 'string',
                  'logsStatus': 'PUBLISH_SUCCEEDED'|'PUBLISH_FAILED',
                  'logsStatusDetails': 'string',
                  'createTime': datetime(2015, 1, 1),
                  'updateTime': datetime(2015, 1, 1)
              },
          ]
      }
      
    **Response Structure**

    

    - *(dict) --* 
      

      - **nextToken** *(string) --* 

        The token value used to access the next page of results.

        
      

      - **trainedModelInferenceJobs** *(list) --* 

        Returns the requested trained model inference jobs.

        
        

        - *(dict) --* 

          Provides information about the trained model inference job.

          
          

          - **trainedModelInferenceJobArn** *(string) --* 

            The Amazon Resource Name (ARN) of the trained model inference job.

            
          

          - **configuredModelAlgorithmAssociationArn** *(string) --* 

            The Amazon Resource Name (ARN) of the configured model algorithm association that is used for the trained model inference job.

            
          

          - **membershipIdentifier** *(string) --* 

            The membership ID of the membership that contains the trained model inference job.

            
          

          - **trainedModelArn** *(string) --* 

            The Amazon Resource Name (ARN) of the trained model that is used for the trained model inference job.

            
          

          - **trainedModelVersionIdentifier** *(string) --* 

            The version identifier of the trained model that was used for inference in this job.

            
          

          - **collaborationIdentifier** *(string) --* 

            The collaboration ID of the collaboration that contains the trained model inference job.

            
          

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

            The status of the trained model inference job.

            
          

          - **outputConfiguration** *(dict) --* 

            The output configuration information of the trained model job.

            
            

            - **accept** *(string) --* 

              The MIME type used to specify the output data.

              
            

            - **members** *(list) --* 

              Defines the members that can receive inference output.

              
              

              - *(dict) --* 

                Defines who will receive inference results.

                
                

                - **accountId** *(string) --* 

                  The account ID of the member that can receive inference results.

                  
            
          
        
          

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

            The name of the trained model inference job.

            
          

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

            The description of the trained model inference job.

            
          

          - **metricsStatus** *(string) --* 

            The metric status of the trained model inference job.

            
          

          - **metricsStatusDetails** *(string) --* 

            Details about the metrics status for the trained model inference job.

            
          

          - **logsStatus** *(string) --* 

            The log status of the trained model inference job.

            
          

          - **logsStatusDetails** *(string) --* 

            Details about the log status for the trained model inference job.

            
          

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

            The time at which the trained model inference job was created.

            
          

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

            The most recent time at which the trained model inference job was updated.

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

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

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

  