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SHAPforxgboost  

SHAP Plots for 'XGBoost'
View on CRAN: Click here


Download and install SHAPforxgboost package within the R console
Install from CRAN:
install.packages("SHAPforxgboost")

Install from Github:
library("remotes")
install_github("cran/SHAPforxgboost")

Install by package version:
library("remotes")
install_version("SHAPforxgboost", "0.1.3")



Attach the package and use:
library("SHAPforxgboost")
Maintained by
Yang Liu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-03
Latest Update: 2023-05-29
Description:
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'.
How to cite:
Yang Liu (2019). SHAPforxgboost: SHAP Plots for 'XGBoost'. R package version 0.1.3, https://cran.r-project.org/web/packages/SHAPforxgboost
Previous versions and publish date:
0.0.1 (2019-08-03 09:00), 0.0.2 (2019-08-28 15:50), 0.0.3 (2020-02-09 19:50), 0.0.4 (2020-05-14 06:50), 0.1.0 (2021-01-07 05:30), 0.1.1 (2021-03-28 05:10)
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