think.py 文件源码

def main():
    #signature()

    # sentences = TextLoader()
    # model = gensim.models.Word2Vec(sentences, workers=8)
    # model.save('word2vector.model')
    # print 'word2vec ok'

    # word2vec = Word2vec()
    # word2vec.BetweenToVec()

    # pro_pro()
    # OneHot()
    #
    # c = cluster()
    # c.Cluster(0.7, 'one_hot_vec.txt', '4_cluster.txt')

    negtive_bet_many()