base.py 文件源码

def __init__(self, norm='l2', use_idf=True, smooth_idf=True,
                 sublinear_tf=False, **kwargs):
        self.tfidf = TfidfTransformer(norm=norm, use_idf=use_idf,
                                      smooth_idf=smooth_idf,
                                      sublinear_tf=sublinear_tf)

        # override defaults since we need the counts here
        self.verbose = kwargs.get('verbose', 0)

        binary = kwargs.pop('binary', False)
        dtype = kwargs.pop('dtype', np.int64)

        # pass remaining args to countvectorizer
        self._init_params(name="TFIDF", binary=binary, dtype=dtype, **kwargs)