treeshap: Compute SHAP Values for Your Tree-Based Models Using the
'TreeSHAP' Algorithm
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
[aut],
Lorenz A. Kapsner
[ctb],
Mikolaj Spytek
[ctb],
Mateusz Krzyzinski
[ctb, cre],
Przemyslaw Biecek
[aut, cph] |
Maintainer: |
Mateusz Krzyzinski <krzyzinskimateusz23 at gmail.com> |
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 |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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