Cornac

New improvements

- Fix bug in graph modality (333)
- Update models to support clone function (334)
- Add `lambda_reg` argument for NMF model (335)
- Use `tqdm.auto` for multiple environment compatibility (336)

New improvements

- Improve the efficiency of KNN methods (331)
- Use `tqdm.auto` for compatibility on Jupyter notebook env (332)

New models

- MTER model is faster with Cython (320)
- Neighborhood-based methods (UserKNN and ItemKNN) (329)

New features and improvements

- Refactor code in examples (317)
- CI tools support Python 3.7
- Update and test all tutorials and examples

New models and datasets

- Weighted Bayesian Personalized Ranking (WBPR) model (309)
- Maximum Margin Matrix Factorization (MMMF) model (310)

New features and improvements

- Reset random number generator for reproducibility (301)
- Fix issue in NCRR metric (313)
- Use C++ Boost Random library for reproducibility across platforms (315)
- Support model saving and loading (316)

New features and improvements

- Add default attributes `total_users` and `total_items` to `Dataset` (300)