lsa.py 文件源码

def truncated_svd(self):
        # https://github.com/chrisjmccormick/LSA_Classification/blob/master/inspect_LSA.py
        svd = TruncatedSVD(self.dimensions)   
        lsa = make_pipeline(svd, Normalizer(copy=False))
        X_reduced = lsa.fit_transform(self.bag_of_words_matrix)
        print(svd.components_[0])
        print(svd.explained_variance_ratio_) 
        print(svd.explained_variance_ratio_.sum())