code: def experiments_predictions_get(self, experiment_id, run_id):
          
          # Get experiment to ensure that it exists
          if self.experiments_get(experiment_id) is None:
              return None
          # Get predition handle to ensure that it exists
          model_run = self.predictions.get_object(run_id)
          if model_run is None:
              return None
          # Perform additional check that prediction is for given experiment
          if experiment_id != model_run.experiment_id:
              return None
          # Return model run object
          return model_run
docs: Get prediction object with given identifier for given experiment.
  
          Parameters
          ----------
          experiment_id : string
              Unique experiment identifier
          run_id : string
              Unique model run identifier
  
          Returns
          -------
          ModelRunHandle
              Handle for the model run or None if experiment or prediction is
              unknown