Release: PyCaret 2.3.2 | Release Date: July 7th, 2021 (NEW FEATURES, BUG FIXES)
Summary of Changes
- Implemented PDP, MSA and PFI plots in
interpret_model
- thanks to @IncubatorShokuhou (#1415) - Implemented Kolmogorov-Smirnov (KS) plot in
plot_model
underpycaret.classification
module - Fixed a typo "RVF" to "RBF" - thanks to @baturayo (#1220)
- Readme & license updates and improvements
- Fixed
remove_multicollinearity
considering categorical features - Fixed keyword issues with PyCaret's cuML wrappers
- Improved performance of iterative imputation
- Fixed
gain
andlift
plots taking wrong arguments, creating misleading plots interpret_model
on LightGBM will now show a beeswarm plot- Multiple improvements to exception handling and documentation in
pycaret.persistence
(#1324) remove_perfect_collinearity
option will now be show in thesetup()
summary - thanks to @mjkanji (#1342)- Fixed
IterativeImputer
setting wrong float precision - Fixed custom grids in
tune_model
raising an exception when composed of lists - Improved documentation in
pycaret.clustering
- thanks to @susmitpy (#1372) - Added support for LightGBM CUDA version - thanks to @IncubatorShokuhou (#1396)
- Exposed
address
inget_data
for alternative data sources - thanks to @IncubatorShokuhou (#1416)