670b85c9e9cec05210e8596bc1fb9ca66787162f,sklearn/compose/_column_transformer.py,ColumnTransformer,get_feature_names,#ColumnTransformer#,345

Before Change

            if trans == "drop" or (
                    hasattr(column, "__len__") and not len(column)):
                continue
            elif trans == "passthrough":
                raise NotImplementedError(
                    "get_feature_names is not yet supported when using "
                    "a "passthrough" transformer.")
            elif not hasattr(trans, "get_feature_names"):
                raise AttributeError("Transformer %s (type %s) does not "
                                     "provide get_feature_names."
                                     % (str(name), type(trans).__name__))

After Change

                    else:
                        feature_names.extend(self._df_columns[column])
                else:
                    indices = np.arange(self._n_features)
                    feature_names.extend(["x%d" % i for i in indices[column]])
                continue
            if not hasattr(trans, "get_feature_names"):
                raise AttributeError("Transformer %s (type %s) does not "

Instances