def _update_feature_log_prob(self):
        smoothed_fc = self.feature_count_ + self.alpha
        smoothed_cc = smoothed_fc.sum(axis=1)

        self.feature_log_prob_ = (np.log(smoothed_fc) -
                                  np.log(smoothed_cc.reshape(-1, 1)))
Run result worker.
dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/naive_bayes.py/MultinomialNB._update_feature_log_prob--crossover with--dataset/ETHPy150Open binux/pyspider/pyspider/run.py/result_worker