pycaret 2.3.2 on Python PyPI

Release: PyCaret 2.3.2 | Release Date: July 7th, 2021 (NEW FEATURES, BUG FIXES)

Implemented PDP, MSA and PFI plots in interpret_model - thanks to @IncubatorShokuhou (#1415)
Implemented Kolmogorov-Smirnov (KS) plot in plot_model under pycaret.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 and lift 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 the setup() 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 in get_data for alternative data sources - thanks to @IncubatorShokuhou (#1416)