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'.
|Author||Yang Liu [aut, cre] (<https://orcid.org/0000-0001-6557-6439>), Allan Just [aut, ctb] (<https://orcid.org/0000-0003-4312-5957>), Michael Mayer [ctb]|
|Maintainer||Yang Liu <email@example.com>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
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