code: @Override
    protected void postGlobal() {
      assert(_res.model_info().get_params()._replicate_training_data);
      super.postGlobal();
      // model averaging (DeepWaterTask only computed the per-node models, each on all the data)
  //    _res.model_info().div(_res._chunk_node_count);
      _res.model_info().add_processed_global(_res.model_info().get_processed_local()); //switch from local counters to global counters
      _res.model_info().set_processed_local(0L);
      _sharedmodel = _res.model_info();
    }
docs: Finish up the work after all nodes have reduced their models via the above reduce() method.
  All we do is average the models and add to the global training sample counter.
  After this returns, model_info() can be queried for the updated model.