df_classes.py 文件源码

def transform(self, X):
        Xs = Parallel(n_jobs=self.n_jobs)(
            delayed(_transform_one)(trans, name, weight, X)
            for name, trans, weight in self._iter())
        Xs.insert(0, X)
        return pd.concat(Xs, axis=0)