Changelog¶
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. |
Version 0.1.*¶
Feature support the latest version of scikit-learn and drop support on python 3.6 (#115) @xuyxu
Feature API Change add support on
pandas.DataFrame
forX
andy
(#86) @IncubatorShokuhouFix fix missing functionality of
_set_n_trees()
@xuyxuFix API Change add docstrings for parameter
bin_type
(#74) @xuyxuFeature API Change recover the parameter
min_samples_split
(#73) @xuyxuFix 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
CascadeForestRegressor
in customized mode (#67) @xuyxuFix fix missing sample indices for parameter
sample_weight
inKFoldWrapper
(#48) @xuyxuFeature API Change add support on customized estimators (#48) @xuyxu
Enhancement improve target checks for
CascadeForestRegressor
(#53) @chendingyanFix 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
CascadeForestRegressor
(#44) @xuyxuFeature API Change add multi-output support for
CascadeForestRegressor
(#40) @Alex-MediumFeature 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
binner
(#23) @xuyxuFeature API Change implement the
get_estimator()
method for efficient indexing (#22) @xuyxuFeature support class label encoding (#18) @NiMaZi
Feature API Change support sample weight in
fit()
(#7) @tczhaoFeature API Change configurable predictor parameter (#9) @tczhao
Enhancement add base class
BaseEstimator
andClassifierMixin
(#8) @pjgao