fastshap: Fast Approximate Shapley Values (original) (raw)
Computes fast (relative to other implementations) approximate Shapley values for any supervised learning model. Shapley values help to explain the predictions from any black box model using ideas from game theory; see Strumbel and Kononenko (2014) <doi:10.1007/s10115-013-0679-x> for details.
| Version: | 0.1.1 |
|---|---|
| Depends: | R (≥ 3.6.0) |
| Imports: | foreach, Rcpp (≥ 1.0.1), utils |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | AmesHousing, covr, earth, knitr, ranger, rmarkdown, shapviz (≥ 0.8.0), tibble, tinytest (≥ 1.4.1) |
| Enhances: | lightgbm, xgboost |
| Published: | 2024-02-22 |
| DOI: | 10.32614/CRAN.package.fastshap |
| Author: | Brandon Greenwell  [aut, cre] |
| Maintainer: | Brandon Greenwell <greenwell.brandon at gmail.com> |
| BugReports: | https://github.com/bgreenwell/fastshap/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/bgreenwell/fastshap,https://bgreenwell.github.io/fastshap/ |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| In views: | MachineLearning |
| CRAN checks: | fastshap results |
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