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Recommenders 1.2.1 source code.zip (3.1 MB)
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| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| recommenders-1.1.0-py3-none-manylinux1_x86_64.whl | 2022-04-01 | 335.6 kB | |
| recommenders-1.1.0.tar.gz | 2022-04-01 | 253.4 kB | |
| README.md | 2022-03-31 | 3.6 kB | |
| Recommenders 1.1.0.tar.gz | 2022-03-31 | 2.5 MB | |
| Recommenders 1.1.0.zip | 2022-03-31 | 2.7 MB | |
| Totals: 5 Items | 5.8 MB | 0 | |
New algorithms or improvements
- SASRec and SSEPT in Tensorflow 2.x by @aeroabir in https://github.com/microsoft/recommenders/pull/1530 [#1621] [#1678]
- RBM Code Cleanup, model save and other additions by @pradnyeshjoshi in [#1599] [#1618] [#1622]
- Overwrite older test file in NCF deep dive to avoid bug by @anargyri in https://github.com/microsoft/recommenders/pull/1674
- SAR+ improvement and bug fixes by @simonzhaoms [#1636] [#1644] [#1680] [#1671]
- NCF improvement and bug fixes by @angusrtaylor in [#1612]
- Remove drop_duplicates() from SAR method fix [#1464] by @miguelgfierro in https://github.com/microsoft/recommenders/pull/1588
- SAR literal fix by @danb27 in https://github.com/microsoft/recommenders/pull/1663
New utilities or improvements
- Update lightfm_utils.py by @Ransaka in https://github.com/microsoft/recommenders/pull/1624
- Change formats of user_ids and item_ids arg. in LigthFM by @ywkim92 in https://github.com/microsoft/recommenders/pull/1651
- Fix randomness issue in spark_stratified_split() by @simonzhaoms in https://github.com/microsoft/recommenders/pull/1654
- Clarification for jaccard and lift similarity measures by @miguelgfierro in https://github.com/microsoft/recommenders/pull/1668
- Use numpy divide in explained variance by @anargyri in https://github.com/microsoft/recommenders/pull/1691
- Change MovieLens URL from HTTP to HTTPS by @simonzhaoms in https://github.com/microsoft/recommenders/pull/1677
- Remove casting of user and item IDs in Spark evaluation by @anargyri in https://github.com/microsoft/recommenders/pull/1686
- Persist intermediate data to avoid non-determinism caused by Spark lazy random evaluation by @simonzhaoms in https://github.com/microsoft/recommenders/pull/1676 [#1652]
New notebooks or improvements
- Fix notebook build failure on Spark 3.2 by @simonzhaoms in https://github.com/microsoft/recommenders/pull/1608
- Remove early stopping round from lightgbm example notebook by @imatiach-msft in https://github.com/microsoft/recommenders/pull/1620
Other features
- Enable Python 3.8 and 3.9 by @anargyri in https://github.com/microsoft/recommenders/pull/1626 [#1617]
- Upgrade Python from 3.6 to 3.7 in ADO tests pipeline by @anargyri in https://github.com/microsoft/recommenders/pull/1627
- Increase time out for GPU nightly tests by @miguelgfierro in https://github.com/microsoft/recommenders/pull/1623
- Lower LightGBM test AUC base value by @simonzhaoms in https://github.com/microsoft/recommenders/pull/1619
- Change timeouts for tests by @anargyri and @miguelgfierro [#1625] [#1661] [#1684]
- Scenario gaming by @miguelgfierro in https://github.com/microsoft/recommenders/pull/1637
- Limiting tests: reducing the time of the news recommendation GPU notebooks by @miguelgfierro in https://github.com/microsoft/recommenders/pull/1656
- Remove pydocumentdb in install_requires by @Inhenn in https://github.com/microsoft/recommenders/pull/1629
- Change and improve dependencies [#1630] [#1653]
- Fix Spark tuning test by @anargyri in https://github.com/microsoft/recommenders/pull/1635
- Typos in markdown files and other files [#1639] [#1589] [#1646] [#1647] [#1688]
- Update dockerfile by @anargyri in https://github.com/microsoft/recommenders/pull/1645
- Improve documentation [#1648] [#1669] [#1682] [#1690] [#1672]
- Codecov Fix by @laserprec in https://github.com/microsoft/recommenders/pull/1665
- Set Spark env variables in nightly test by @anargyri in https://github.com/microsoft/recommenders/pull/1655 [#1659]