f1b5b349fbffae3ae1ca0a3ca862ba7b81ddbaa1,mlbox/model/regression/regressor.py,Regressor,feature_importances,#Regressor#,173

Before Change

                    importance_bag.append(d.copy())

                for i, col in enumerate(self.__col):
                    importance[col] = np.mean(
                        filter(lambda x: x != 0, [k[col] if col in k else 0
                                                  for k in importance_bag]))

            else:

                importance = {}

After Change

                    list_filtered = filter(lambda x: x != 0,
                                           [k[col] if col in k else 0
                                            for k in importance_bag])
                    importance[col] = np.mean(list(list_filtered))

            else:

                importance = {}

Instances