✨ Highlights ✨

Visualization app is now here! See our extended example for cool interactive Jupyter widgets.
Also we introduced EASE model and a new popularity bias metric AvgRecPopularity.

All updates

Added

• VisualApp and ItemToItemVisualApp widgets for visual comparison of recommendations (#80, #82, #85, #115)
• Methods for conversion Interactions to raw form and for getting raw interactions from Dataset (#69)
• AvgRecPopularity (Average Recommendation Popularity) to metrics (#81)
• Added normalized parameter to AvgRecPopularity metric (#89)
• Added EASE model (#107)

Changed

• Loosened pandas, torch and torch-light versions for python >= 3.8 (#58)

Fixed

• Bug in Interactions.from_raw method (#58)
• Mistakes in formulas for Serendipity and MIUF in docstrings (#115)
• Examples reproducibility on Google Colab (#115)

Added

• Ability to pass internal ids to recommend and recommend_to_items methods and get internal ids back (#70)
• rectools.model_selection.cross_validate function (#71, #73)

Changed

• Loosened lightfm version, now it's possible to use 1.16 and 1.17 (#72)

Fixed

• Small bug in LastNSplitter with incorrect i_split in info (#70)

Summary

• Enhanced examples
• Optimised DSSM inference
• Updated high border of attrs version to 24.0.0

All updates

Added

• LightFM wrapper inference speed benchmark (#60)
• iALS with features quality benchmark (#60)

Changed

• Updated attrs version (#56)
• Optimized inference for vector models with EUCLIDEAN distance using implicit library topk method (#57)
• Changed features processing example (#60)

✨ Highlights ✨

We have much simplified RecTools installation with pip and poetry. If you faced problems before, we recommend to try version 0.4.0 and above

• [Breaking] Bumped implicit from 0.4.4 to ^0.7.1
• [Breaking] Moved nmslib and lightfm to extras. Renamed nn extra to torch
• [Breaking] Improved TimeRangeSplitter interface: no need for pre-computing fold borders any more
• New metrics:MRR, F1Beta, MCC
• New splitters for cross-validation:RandomSplitter, LastNSplitter
• Significantly optimized inference speed for latent factors models (iALS, LightFM, PureSVD)
• Python 3.10 support 🎉

All updates

Added

• MRR (Mean Reciprocal Rank) to metrics (#29)
• F1beta, MCC (Matthew correlation coefficient) to metrics (#32)
• Base Splitter class to construct data splitters (#31)
• RandomSplitter to model_selection (#31)
• LastNSplitter to model_selection (#33)
• Support for Python 3.10 (#47)

Changed

• Bumped implicit version to 0.7.1 (#45)
• Bumped lightfm version to 1.17 (#43)
• Bumped pylint version to 2.17.6 (#43)
• Moved nmslib to extras (#36)
• Moved lightfm to extras (#51)
• Renamed nn extra to torch (#51)
• Optimized inference for vector models with COSINE and DOT distances using implicit library topk method (#52)
• Changed initialization of TimeRangeSplitter (instead of date_range argument, use test_size and n_splits) (#53)
• Changed split infos key names in splitters (#53)

Fixed

• Bugs with new version of pytorch_lightning (#43)
• pylint config for new version (#43)
• Cyclic imports (#45)

Removed

• Markdown dependancy (#54)

• Optimized IdMap. In the new version internal ids are not sorted.
• Significantly optimized TimeRangeSplit. Renamed to TimeRangeSplitter. Changed interface.
• Fixed bug in MAP metric calculation.

First release

Base library version