Surprise v1.0.3 Release Notes
Release Date: 2017-05-03 // almost 7 years ago-
Date: 03/05/17
✨ Enhancements
- ➕ Added FAQ in the doc
- ➕ Added the possibility to retrieve the k nearest neighbors of a user or an item.
- 🔄 Changed the dumping process a bit (see API changes). Plus, dumps can now be loaded.
- ➕ Added possibility to build a testset from the ratings of a training set
- ➕ Added inner-to-raw id conversion in the Trainset class
- The r_ui parameter of the predict() method is now optional
🛠 Fixes
- 🛠 Fixed verbosity of the evaluate function
- Corrected prediction when only user (or only item) is unknown in SVD and NMF algorithms. Thanks to kenoung!
- Corrected factor vectors initialization of SVD algorithms. Thanks to adideshp!
API Changes
- The dump() method now dumps a list of predition (optional) and an algorithm (optional as well). The algorithm is now a real algorithm object. The trainset is not dumped anymore as it is already part of the algorithm anyway.
- The dump() method is now part of the dump namespace, and not the global namespace (so it is accessed by surprise.dump.dump)