competitors.py 文件源码

def train(self):
        D = self.A_true.shape[1]
        for i in range(20):
            self.show_error()

            start = time.time()
            prior = self.sparsity / np.float(self.A_true.shape[1])
            lda = LDA(n_topics=D, random_state=0, doc_topic_prior = prior, max_iter=i)
            lda.fit(self.Y.transpose())
            end = time.time()
            self.time = end - start
            self.A = np.asmatrix(lda.components_.transpose())