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fastshap: Fast Approximate Shapley Values
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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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