word2vec.py 文件源码

def __init__(self, embedding, analyzer='word', matching=None, name="FWCD",
                 n_jobs=1, use_idf=True):
        """TODO: to be defined1. """
        self.name = name
        self.matching = Matching(**dict(matching)) if matching else None
        self.vect = EmbeddedVectorizer(embedding, analyzer=analyzer, norm='l2',
                                       use_idf=use_idf)
        self.nn = NearestNeighbors(n_jobs=n_jobs, metric='cosine',
                                   algorithm='brute')