·
43 commits
to refs/heads/main
since this release
Changes
🚀 Features
- remove pyyaml & explicit scikit-learn (#729) @Zethson
- Remove fancyimpute (#728) @Zethson
- Unify feature type detection (#724) @Lilly-May
- catplot (#721) @eroell
- Simplify ehrapy (#719) @Zethson
- Use all (#715) @Zethson
- Add bias detection to preprocessing (#690) @Lilly-May
- Use lamin logger (#707) @Zethson
- Add faiss backend for KNN imputation (#704) @Zethson
- Build RTD docs with uv (#700) @Zethson
- Refactor feature importance ranking (#698) @Zethson
- Simplify CI (#694) @Zethson
- Refactor outliers and IQR (#692) @Zethson
- Calculation of feature importances in a supervised setting (#677) @Lilly-May
- Speed up winsorize (#681) @Zethson
- Remove notebook prefix in tutorial URLs (#679) @Zethson
- Add cohort tracking notebook (#678) @Zethson
- Switch to uv (#674) @Zethson
- Style: typing of _scale_func_group (#727) @eroell
- Improved support of encoded features in detect_bias (#725) @Lilly-May
- Enable Synchronous dataloader write (#722) @wxicu
- Feature scaling on training set when computing feature importances (#716) @Lilly-May
- add batch-wise normalization argument (#711) @eroell
- add functools.wraps to type check (#705) @eroell
- add bias notebook to list of notebooks (#696) @eroell
- basic sampling (#686) @eroell
- add options for subitles in legend of cohorttrackers barplot (#688) @eroell
- doc fix imputation: 70 instead of 30 (#683) @eroell
🐛 Bug Fixes
- Encoded dtype to float32 instead of np.number (#714) @Zethson
- Fix feature importance warnings (#708) @Zethson
- Remove notebook prefix in tutorial URLs (#679) @Zethson
- fix name of log_rogistic_aft to log_logistic_aft (#676) @eroell
🧰 Maintenance
Contributors
Zethson, eroell, and 2 other contributors