turicreate.recommender.ranking_factorization_recommender.RankingFactorizationRecommender.get_num_users_per_item

RankingFactorizationRecommender.get_num_users_per_item()

Get the number of users observed for each item.

Returns:

out : SFrame

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