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treeshap  

Compute SHAP Values for Your Tree-Based Models Using the 'TreeSHAP' Algorithm
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("treeshap", "0.3.1")



Attach the package and use:
library("treeshap")
Maintained by
Mateusz Krzyzinski
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-01
Latest Update: 2024-01-22
Description:
An efficient implementation of the 'TreeSHAP' algorithm introduced by Lundberg et al., (2020) <doi:10.1038/s42256-019-0138-9>. It is capable of calculating SHAP (SHapley Additive exPlanations) values for tree-based models in polynomial time.Currently supported models include 'gbm', 'randomForest', 'ranger', 'xgboost', 'lightgbm'.
How to cite:
Mateusz Krzyzinski (2023). treeshap: Compute SHAP Values for Your Tree-Based Models Using the 'TreeSHAP' Algorithm. R package version 0.3.1, https://cran.r-project.org/web/packages/treeshap
Previous versions and publish date:
0.2.5 (2023-10-01 17:50), 0.3.0 (2023-10-24 18:00)
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