cd840732e126d34b482f50140828cf93427ac8b5,sklearn/pipeline.py,FeatureUnion,transform,#FeatureUnion#Any#,973

Before Change

        if not Xs:
            // All transformers are None
            return np.zeros((X.shape[0], 0))
        if any(sparse.issparse(f) for f in Xs):
            Xs = sparse.hstack(Xs).tocsr()
        else:
            Xs = np.hstack(Xs)
        return Xs

    def _update_transformer_list(self, transformers):
        transformers = iter(transformers)

After Change

            // All transformers are None
            return np.zeros((X.shape[0], 0))

        return self._hstack(Xs)

    def _hstack(self, Xs):
        if any(sparse.issparse(f) for f in Xs):
            Xs = sparse.hstack(Xs).tocsr()

Instances