Deep Forest Versions Save

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

v0.1.7

1 year ago

Quick fix on numpy compatibility.

v0.1.6

1 year ago
  • Improvement on package compatibility | @xuyxu
  • Add support for pandas dataframe and list | @IncubatorShokuhou
  • Minor bug fix | @xuyxu

v0.1.5

3 years ago

This release includes:

  • Official support on Python 3.9
  • Bug fix for deep forest in the customized mode

v0.1.4

3 years ago

Added

  • Add support on customized estimators (#48) @xuyxu
  • Add official support for ManyLinux-aarch64 (#47) @xuyxu

Fixed

  • Fix the prediction workflow with only one cascade layer (#56) @xuyxu
  • Fix inconsistency on predictor name (#52) @xuyxu
  • Fix accepted types of target for CascadeForestRegressor (#44) @xuyxu

Improved

  • Improve target checks for CascadeForestRegressor (#53) @chendingyan

v0.1.3

3 years ago

Added

  • Add multi-output support for CascadeForestRegressor (#40) @Alex-Medium
  • Add layer-wise feature importances (#39) @xuyxu
  • Add scikit-learn backend (#36) @xuyxu
  • Add official support for Mac-OS (#34) @T-Allen-sudo
  • Add support on configurable criterion (#28) @tczhao

v0.1.2

3 years ago

Added

  • Add CascadeForestRegressor for regression problem (#25) @tczhao

v0.1.1

3 years ago

Added

  • Implement the get_forest() method for efficient indexing (#22) @xuyxu
  • Support class label encoding (#18) @NiMaZi
  • Support sample weight in fit() (#7) @tczhao
  • Add configurable predictor parameter (#9) @tczhao
  • Add base class BaseEstimator and ClassifierMixin (#8) @pjgao

Fixed

  • Fix accepted data types on the binner (#23) @xuyxu