:doc:`CleanRoomsML <../../cleanroomsml>` / Paginator / ListCollaborationTrainedModelInferenceJobs

******************************************
ListCollaborationTrainedModelInferenceJobs
******************************************



.. py:class:: CleanRoomsML.Paginator.ListCollaborationTrainedModelInferenceJobs

  ::

    
    paginator = client.get_paginator('list_collaboration_trained_model_inference_jobs')

  
  

  .. py:method:: paginate(**kwargs)

    Creates an iterator that will paginate through responses from :py:meth:`CleanRoomsML.Client.list_collaboration_trained_model_inference_jobs`.

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


    **Request Syntax**
    ::

      response_iterator = paginator.paginate(
          collaborationIdentifier='string',
          trainedModelArn='string',
          trainedModelVersionIdentifier='string',
          PaginationConfig={
              'MaxItems': 123,
              'PageSize': 123,
              'StartingToken': 'string'
          }
      )
      
    :type collaborationIdentifier: string
    :param collaborationIdentifier: **[REQUIRED]** 

      The collaboration ID of the collaboration that contains the trained model inference jobs that you are interested in.

      

    
    :type trainedModelArn: string
    :param trainedModelArn: 

      The Amazon Resource Name (ARN) of the 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.

      

    
    :type PaginationConfig: dict
    :param PaginationConfig: 

      A dictionary that provides parameters to control pagination.

      

    
      - **MaxItems** *(integer) --* 

        The total number of items to return. If the total number of items available is more than the value specified in max-items then a ``NextToken`` will be provided in the output that you can use to resume pagination.

        

      
      - **PageSize** *(integer) --* 

        The size of each page.

        

      
      - **StartingToken** *(string) --* 

        A token to specify where to start paginating. This is the ``NextToken`` from a previous response.

        

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

      
      ::

        {
            'collaborationTrainedModelInferenceJobs': [
                {
                    '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),
                    'creatorAccountId': 'string'
                },
            ],
            'NextToken': 'string'
        }
        
      **Response Structure**

      

      - *(dict) --* 
        

        - **collaborationTrainedModelInferenceJobs** *(list) --* 

          The trained model inference jobs that you are interested in.

          
          

          - *(dict) --* 

            Provides summary information about a trained model inference job in a collaboration.

            
            

            - **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) --* 

              Returns output configuration information for the trained model inference 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 trained model inference job metrics status.

              
            

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

              Details about the metrics status for trained model inference job.

              
            

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

              The trained model inference job logs status.

              
            

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

              Details about the logs 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.

              
            

            - **creatorAccountId** *(string) --* 

              The account ID that created the trained model inference job.

              
        
      
        

        - **NextToken** *(string) --* 

          A token to resume pagination.

          
    