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'.">

treeshap: Compute SHAP Values for Your Tree-Based Models Using the 'TreeSHAP' Algorithm (original) (raw)

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'.

Version: 0.3.1
Depends: R (≥ 2.10)
Imports: data.table, ggplot2, Rcpp
LinkingTo: Rcpp
Suggests: gbm, jsonlite, lightgbm, randomForest, ranger, scales, survival, testthat, xgboost
Published: 2024-01-22
DOI: 10.32614/CRAN.package.treeshap
Author: Konrad Komisarczyk [aut], Pawel Kozminski [aut], Szymon Maksymiuk ORCID iD [aut], Lorenz A. Kapsner ORCID iD [ctb], Mikolaj Spytek ORCID iD [ctb], Mateusz KrzyzinskiORCID iD [ctb, cre], Przemyslaw Biecek ORCID iD [aut, cph]
Maintainer: Mateusz Krzyzinski
BugReports: https://github.com/ModelOriented/treeshap/issues
License: GPL-3
URL: https://modeloriented.github.io/treeshap/,https://github.com/ModelOriented/treeshap
NeedsCompilation: yes
CRAN checks: treeshap results

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