This release adds support for python 3.11 and optuna 3. There are also some other fixes and improvements.
Welcome @Programmer-RD-AI, @leafy-lee, @Atry and @chocolatevanille to the community! Thank you @Borda, @Programmer-RD-AI, @leafy-lee, @Atry, @chocolatevanille and all the other contributors for the PRs, reviewing and testing.
What's Changed
- precommit: introduce
mdformatby @Borda in #1276 - Fix typos, upgrade yarn packages, add some improvements by @thinkall in #1290
- Fix typo in ts_model.py: change train_df.y to train_df[target_col] by @Programmer-RD-AI in #1312
- Upgrade Optuna to 3.6.1 by @thinkall in #1321
- Handle Deprecation Args for Optuna Update by @leafy-lee in #1324
- Add example of how to get best config and convert it to parameters by @thinkall in #1323
- Add support to python 3.11 by @thinkall in #1326
- Fix test mac os python 3.11 by @thinkall in #1328
- Don't pass
callbacks=NonetoXGBoostSklearnEstimator._fitby @Atry in #1322 - Keep searching hyperparameters when
r2_scoreraises an error by @Atry in #1325 - Doc and comment typos improvements by @chocolatevanille in #1319
- Bump version to 2.2.0 by @thinkall in #1329
New Contributors
- @Programmer-RD-AI made their first contribution in #1312
- @leafy-lee made their first contribution in #1324
- @Atry made their first contribution in #1322
- @chocolatevanille made their first contribution in #1319
Full Changelog: v2.1.2...v2.2.0