docs: def experiments_predictions_update_state_active(self, experiment_id, run_id):
          """Update state of given prediction to active.
  
          Parameters
          ----------
          experiment_id : string
              Unique experiment identifier
          run_id : string
              Unique model run identifier
  
          Returns
          -------
          ModelRunHandle
              Handle for updated model run or None is prediction is undefined
          """
          # Get prediction to ensure that it exists
          model_run = self.experiments_predictions_get(experiment_id, run_id)
          if model_run is None:
              return None
          # Update predition state
          return self.predictions.update_state(
              run_id,
              modelrun.ModelRunActive()
          )