| Badge | Meaning |
|---|---|
| Feature | Add something that cannot be achieved before. |
| Efficiency | Improve the efficiency on the computation or memory. |
| Enhancement | Miscellaneous minor improvements. |
| Fix | Fix up something that does not work as expected. |
| API Change | You will need to change the code to have the same effect. |
- Enhancement improve target checks for :obj:`CascadeForestRegressor` (#53) @chendingyan
- Fix fix the prediction workflow with only one cascade layer (#56) @xuyxu
- Fix fix inconsistency on predictor name (#52) @xuyxu
- Feature add official support for ManyLinux-aarch64 (#47) @xuyxu
- Fix fix accepted types of target for :obj:`CascadeForestRegressor` (#44) @xuyxu
- Feature add multi-output support for :obj:`CascadeForestRegressor` (#40) @Alex-Medium
- Feature add layer-wise feature importances (#39) @xuyxu
- Feature add scikit-learn backend (#36) @xuyxu
- Feature add official support for Mac-OS (#34) @T-Allen-sudo
- Feature support configurable criterion (#28) @tczhao
- Feature support regression prediction (#25) @tczhao
- Fix fix accepted data types on the :obj:`binner` (#23) @xuyxu
- Feature implement the :meth:`get_forest` method for efficient indexing (#22) @xuyxu
- Feature support class label encoding (#18) @NiMaZi
- Feature support sample weight in :meth:`fit` (#7) @tczhao
- Feature configurable predictor parameter (#9) @tczhao
- Enhancement add base class
BaseEstimatorandClassifierMixin(#8) @pjgao