eval.py 文件源码

def mean_unnormalized_neg_log_likelihood(self):
        return math.fsum([self.unnormalized_neg_sum_batch_log_likelihood(i) for i in xrange(self.num_batches)]) / self.num_samples # np.sum() has some precision problems here