full_mapper = DataFrameMapper([('norm_text', to_vect), ('norm_fname', to_vect)]
    )
full_pipe = Pipeline([('mapper', full_mapper), ('clf', SGDClassifier(n_iter
    =15, warm_start=True, n_jobs=-1, random_state=self.random_state))])
Using partial_fit with Scikit Pipeline