def estimate(self, u, i):
if not (self.trainset.knows_user(u) and self.trainset.knows_item(i)):
print('unknown input: u-->' + str(u) + ' i-->' + str(i))
raise env.PredictionImpossible('User and/or item is unkown.')
bias = self.mu + self.bu[u] + self.bi[i] if self.ifbias else 0
return self.est[u, i] + bias
def estimate(self, u, i):
if not (self.trainset.knows_user(u) and self.trainset.knows_item(i)):
print('unknown input: u-->' + str(u) + ' i-->' + str(i))
raise env.PredictionImpossible('User and/or item is unkown.')
estimator = 3
return estimator