code: def experiments_predictions_download(self, experiment_id, run_id):
          
          # Get model run to ensure that it exists
          model_run = self.experiments_predictions_get(experiment_id, run_id)
          if model_run is None:
              return None
          # Make sure the run has completed successfully
          if not model_run.state.is_success:
              return None
          # Get functional data object for result. Return None if this is None.
          # Alternatively throw an exception to signal invalid database state.
          funcdata = self.funcdata.get_object(model_run.state.model_output)
          if funcdata is None:
              return None
          # Return information about the result file
          return FileInfo(
              funcdata.upload_file,
              funcdata.properties[datastore.PROPERTY_MIMETYPE],
              funcdata.properties[datastore.PROPERTY_FILENAME]
          )
docs: Donwload the results of a prediction for a given experiment.
  
          Parameters
          ----------
          experiment_id : string
              Unique experiment identifier
          run_id : string
              Unique model run identifier
  
          Returns
          -------
          FileInfo
              Information about prediction result file on disk or None if
              prediction is unknown or has no result