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. |
- Feature support the latest version of scikit-learn and drop support on python 3.6 (#115) @xuyxu
- Feature API Change add support on :obj:`pandas.DataFrame` for
X
andy
(#86) @IncubatorShokuhou - Fix fix missing functionality of :meth:`_set_n_trees` @xuyxu
- Fix API Change add docstrings for parameter
bin_type
(#74) @xuyxu - Feature API Change recover the parameter
min_samples_split
(#73) @xuyxu - Fix fix the breakdown under the corner case where no internal node exists (#70) @xuyxu
- Feature support python 3.9 (#69) @xuyxu
- Fix fix inconsistency on array shape for :obj:`CascadeForestRegressor` in customized mode (#67) @xuyxu
- Fix fix missing sample indices for parameter
sample_weight
in :obj:`KFoldWrapper` (#48) @xuyxu - Feature API Change add support on customized estimators (#48) @xuyxu
- 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 API Change add multi-output support for :obj:`CascadeForestRegressor` (#40) @Alex-Medium
- Feature API Change add layer-wise feature importances (#39) @xuyxu
- Feature API Change add scikit-learn backend (#36) @xuyxu
- Feature add official support for Mac-OS (#34) @T-Allen-sudo
- Feature API Change support configurable criterion (#28) @tczhao
- Feature API Change support regression prediction (#25) @tczhao
- Fix fix accepted data types on the :obj:`binner` (#23) @xuyxu
- Feature API Change implement the :meth:`get_estimator` method for efficient indexing (#22) @xuyxu
- Feature support class label encoding (#18) @NiMaZi
- Feature API Change support sample weight in :meth:`fit` (#7) @tczhao
- Feature API Change configurable predictor parameter (#9) @tczhao
- Enhancement add base class
BaseEstimator
andClassifierMixin
(#8) @pjgao