code: def _update_feature_log_prob(self, alpha):
          
          smoothed_fc = self.feature_count_ + alpha
          smoothed_cc = self.class_count_ + alpha * 2
  
          self.feature_log_prob_ = (np.log(smoothed_fc) -
                                    np.log(smoothed_cc.reshape(-1, 1)))
docs: Apply smoothing to raw counts and recompute log probabilities