Hi there!
# user, item, rating
ratings = [
[101, 10, 5],
...
]
dls = ...
model = DotProduct(n_users, n_movies, 4)
learn = flearn.Learner(dls, model, loss_func=flosses.MSELossFlat())
learn.fit_one_cycle(5, 5e-3, wd=0.1)
u_weights = learn.model.user_factors
How do I get resulting weights vector for user id=101
? All weights in u_weights are indexed starting zero