User 3030 | 1/15/2016, 3:38:04 PM
I have a ratings table containing the variables: (User, Item, Rating, Quantity). The Quantity variable is a side data feature and is missing for some observations in training dataset. This variable provides relevant info regarding clusters of users and hence is too valuable to discard from training. FactorizationRecommender isn't allowing undefined values in Quantity variable. How do I handle this scenario? Also, how would you handle it, if Quantity was a categorical variable.