SHAP Plots for 'XGBoost'

Aid in visual data investigations using SHAP (SHapley Additive exPlanation) visualization plots for 'XGBoost' and 'LightGBM'. It provides summary plot, dependence plot, interaction plot, and force plot and relies on the SHAP implementation provided by 'XGBoost' and 'LightGBM'. Please refer to 'slundberg/shap' for the original implementation of SHAP in 'Python'.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("SHAPforxgboost")

0.1.1 by Yang Liu, a month ago


https://github.com/liuyanguu/SHAPforxgboost


Report a bug at https://github.com/liuyanguu/SHAPforxgboost/issues


Browse source code at https://github.com/cran/SHAPforxgboost


Authors: Yang Liu [aut, cre] , Allan Just [aut, ctb] , Michael Mayer [ctb]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports stats, ggplot2, xgboost, data.table, ggforce, ggExtra, RColorBrewer, ggpubr, BBmisc

Suggests knitr, rmarkdown, gridExtra, here, parallel, lightgbm


See at CRAN