1573e72acc20513657c5b73e89db5cead44ed807,caserec/recommenders/rating_prediction/svdplusplus.py,SVDPlusPlus,train_model,#SVDPlusPlus#,65

Before Change

            for user in self.train_set["feedback"]:
                sqrt_iu = (np.sqrt(len(self.train_set["du"][user])))
                u = self.map_users[user]
                for item_j in self.train_set["feedback"][user]:
                    self.user_implicit_feedback[u] += (self.y[self.map_items[item_j]] / sqrt_iu)

                for item in self.train_set["feedback"][user]:
                    feedback = self.train_set["feedback"][user][item]
                    i = self.map_items[item]
                    eui = feedback - self._predict_svd_plus_plus(u, i, False)

After Change

                    // update y (implicit factor)
                    for item_j in self.train_set["feedback"][user]:
                        self.y[self.map_items[item_j]] += np.multiply(
                            0.007, (np.subtract(np.multiply(eui, i_f / sqrt_iu),
                                                np.multiply(0.02, self.y[self.map_items[item_j]]))))

    def predict(self):
        if self.test_set is not None:

Instances