| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| README.md | 2024-12-22 | 1.8 kB | |
| v0.4.0 source code.tar.gz | 2024-12-22 | 21.8 MB | |
| v0.4.0 source code.zip | 2024-12-22 | 22.0 MB | |
| Totals: 3 Items | 43.8 MB | 0 | |
What's Changed
- Support for Pandas v2+ and lightgbm v4+ by @Uptimolli in https://github.com/sb-ai-lab/LightAutoML/commit/a8c4e90f7616a30bd46bd43e92feae62a90be9af
- Change supporting python versions: [3.8 - 3.12] and torch version by @dev-rinchin in https://github.com/sb-ai-lab/LightAutoML/pull/161
- Add XGBoost as MLAlgo by @dev-rinchin in https://github.com/sb-ai-lab/LightAutoML/pull/160
- Permutation importance bug fixed by @BELONOVSKII in https://github.com/sb-ai-lab/LightAutoML/pull/139
- Add path_to_save parameter to fit_predict by @Uptimolli in https://github.com/sb-ai-lab/LightAutoML/commit/baf5be493e8339e87b35148fc193dc27c7cc47e9
- Merge OptunaTuner and DLOptunaTuner by @dev-rinchin in https://github.com/sb-ai-lab/LightAutoML/commit/fe4ab628480d03283a56a55c028f14284bc0185c
- Add fail_tolerance for OptunaTuner by @dev-rinchin in https://github.com/sb-ai-lab/LightAutoML/commit/882a9e50e2bb1539f42d35bbb52b9e993937d283
- Auto adjustment CV parameter for multiclass by @Uptimolli in https://github.com/sb-ai-lab/LightAutoML/commit/526aebe459bc6e2a7e598be571d29b29ee518ee9
- Fix force_input using in selectors by @dev-rinchin in https://github.com/sb-ai-lab/LightAutoML/commit/b5a1bba229344d14587a2d20b1d5e6985f754372
- Add FillnaMean in torch_pipeline by @Uptimolli in https://github.com/sb-ai-lab/LightAutoML/commit/9dc9aa4a9dd9c3349efd077d38c380870e21d6ac
- HypEx addon moved to a separate library by @tikhomirovd in https://github.com/sb-ai-lab/LightAutoML/pull/170
- Built-in class mapping by @screengreen in https://github.com/sb-ai-lab/LightAutoML/pull/164
- Added progress bar for optuna by @screengreen in https://github.com/sb-ai-lab/LightAutoML/pull/165
Full Changelog: https://github.com/sb-ai-lab/LightAutoML/compare/v0.3.8.1...v0.4.0