This is a repository for a model from Embarrassingly Shallow Autoencoders for Sparse Data.
This model is cool because it is a closed-form solution.
Similiarity matrix is calculated on CPU with numpy.
pandas.DataFrame with columns user_id and item_id both for fit and predict.
It may also use ratings from column rating if implicit parameter is set to False.
pandas.DataFrame with columns user_id, item_id, score