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'.
Package details |
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Maintainer | |
License | MIT + file LICENSE |
Version | 0.1.3 |
URL | https://github.com/liuyanguu/SHAPforxgboost |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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