1c7a87e96c4b6180e423586193c26e5ccd2f6bfd,sklearn_pandas/__init__.py,DataFrameMapper,transform,#DataFrameMapper#,117

Before Change

                // for hstack.
                fea = fea.toarray()

            if len(fea.shape) == 1:
                fea = np.array([fea]).T
            extracted.append(fea)

        // combine the feature outputs into one array.
        // at this point we lose track of which features

After Change

                    for transformer in transformers:
                        extracted.append(self._handle_feature(transformer.transform(self._get_col_subset(X, columns))))
                else:
                    extracted.append(self._handle_feature(transformers.transform(self._get_col_subset(X, columns))))
            else:
                extracted.append(self._handle_feature(self._get_col_subset(X, columns)))

Instances