code: def _create_cv_ensemble(self, base_ensemble, idx_models_included, model_names=None):
          
          fitted_models = numpy.empty(len(idx_models_included), dtype=numpy.object)
          for i, idx in enumerate(idx_models_included):
              model_name = self.base_estimators[idx][0] if model_names is None else model_names[idx]
              avg_model = EnsembleAverage(base_ensemble[idx, :], name=model_name)
              fitted_models[i] = avg_model
  
          return fitted_models
docs: For each selected base estimator, average models trained on each fold