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'.


Reference manual

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0.1.0 by Yang Liu, 2 months ago

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Browse source code at

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

Documentation:   PDF Manual  

MIT + file LICENSE license

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

Suggests gridExtra, here, parallel

See at CRAN