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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=fastshap to link to this page.
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