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 for X and y (#86) @IncubatorShokuhou

  • Fix fix missing functionality of _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 CascadeForestRegressor in customized mode (#67) @xuyxu

  • Fix fix missing sample indices for parameter sample_weight in KFoldWrapper (#48) @xuyxu

  • Feature API Change add support on customized estimators (#48) @xuyxu

  • Enhancement improve target checks for 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 CascadeForestRegressor (#44) @xuyxu

  • Feature API Change add multi-output support for 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 binner (#23) @xuyxu

  • Feature API Change implement the get_estimator() method for efficient indexing (#22) @xuyxu

  • Feature support class label encoding (#18) @NiMaZi

  • Feature API Change support sample weight in fit() (#7) @tczhao

  • Feature API Change configurable predictor parameter (#9) @tczhao

  • Enhancement add base class BaseEstimator and ClassifierMixin (#8) @pjgao