code: def experiments_predictions_upsert_property(self, experiment_id, run_id, properties):
          
          # Get predition to ensure that it exists. Ensures that the combination
          # of experiment and prediction identifier is valid.
          if self.experiments_predictions_get(experiment_id, run_id) is None:
              return None
          # Return result of upsert for identifier model run
          return self.predictions.upsert_object_property(run_id, properties)
docs: Upsert property of a prodiction for an experiment.
  
          Raises ValueError if given property dictionary results in an illegal
          operation.
  
          Parameters
          ----------
          experiment_id : string
              Unique experiment identifier
          run_id : string
              Unique model run identifier
          properties : Dictionary()
              Dictionary of property names and their new values.
  
          Returns
          -------
          ModelRunHandle
              Handle for updated object of None if object doesn't exist