Collab filtering create collab learner using fastai

collab_filtering_create_collab_learner.py

user_name = 'userId'
item_name = 'movieId'
rating_name = 'rating'

cols = [user_name, item_name, rating_name]

data = (CollabDataBunch.from_df(
		ratings[cols],
		user_name=user_name,
		item_name=item_name,
		rating_name=rating_name,
		seed = 42,
		valid_pct = 0.2,
		bs=2**11)) # up the batch size

y_range = ((ratings[rating_name].min(),
			ratings[rating_name].max()+0.5))

learn = collab_learner(data, n_factors=50, y_range=y_range)