1783757d1d5f62d2398d1f8df2cd71b4c3113b6f,entity2rec/evaluator.py,Evaluator,features,#Evaluator#,207

Before Change

            user_item_features = Parallel(n_jobs=3, backend="threading")(delayed(self._compute_features)
                                  (data, recommender, negative_candidates, n_users, val_set)
                                  for data, recommender, negative_candidates, val_set in [(training, recommender, False, False),
                                                                              (test, recommender, True, False),
                                                                              (validation, recommender, True, True)])

After Change

        else:  // select all users

            users_list = list(self.items_rated_by_user_train.keys())

        if validation:

            user_item_features = Parallel(n_jobs=3, backend="threading")(delayed(self._compute_features)
                                  (data, recommender, users_list)
                                  for data in ["train", "test", "val"])

            x_train, y_train, qids_train = user_item_features[0]

Instances