turicreate.recommender.ranking_factorization_recommender.RankingFactorizationRecommender.get_num_items_per_user

RankingFactorizationRecommender.get_num_items_per_user()

Get the number of items observed for each user.

Returns:

out : SFrame

An SFrame with a column containing each observed user and another column containing the corresponding number of items observed during training.