The aim of 'SHAPforxgboost' is to aid in visual data investigations using SHAP (SHapley Additive exPlanation) visualization plots for 'XGBoost'. It provides summary plot, dependence plot, interaction plot, and force plot. It relies on the 'dmlc/xgboost' package to produce SHAP values. Please refer to 'slundberg/shap' for the original implementation of SHAP in 'Python'.
|Author||Yang Liu [aut, cre] (<https://orcid.org/0000-0001-6557-6439>), Allan Just [aut, ctb] (<https://orcid.org/0000-0003-4312-5957>)|
|Maintainer||Yang Liu <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
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