Package: fastshap 0.3.0
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 Strumbelj and Kononenko (2014) <doi:10.1007/s10115-013-0679-x> for details.
Authors:
fastshap_0.3.0.tar.gz
fastshap_0.3.0.zip(r-4.7)fastshap_0.3.0.zip(r-4.6)fastshap_0.3.0.zip(r-4.5)
fastshap_0.3.0.tgz(r-4.6-x86_64)fastshap_0.3.0.tgz(r-4.6-arm64)fastshap_0.3.0.tgz(r-4.5-x86_64)fastshap_0.3.0.tgz(r-4.5-arm64)
fastshap_0.3.0.tar.gz(r-4.7-arm64)fastshap_0.3.0.tar.gz(r-4.7-x86_64)fastshap_0.3.0.tar.gz(r-4.6-arm64)fastshap_0.3.0.tar.gz(r-4.6-x86_64)
fastshap_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
fastshap/json (API)
| # Install 'fastshap' in R: |
| install.packages('fastshap', repos = c('https://bgreenwell.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bgreenwell/fastshap/issues
Pkgdown/docs site:https://bgreenwell.github.io
- titanic - Survival of Titanic passengers
- titanic_mice - Survival of Titanic passengers
explainable-aiexplainable-mlinterpretable-machine-learningshapleyshapley-valuesvariable-importancexaicpp
Last updated from:fe2193ce5b (on main). Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 149 | ||
| linux-devel-x86_64 | OK | 156 | ||
| source / vignettes | OK | 283 | ||
| linux-release-arm64 | OK | 149 | ||
| linux-release-x86_64 | OK | 157 | ||
| macos-release-arm64 | OK | 129 | ||
| macos-release-x86_64 | OK | 297 | ||
| macos-oldrel-arm64 | OK | 96 | ||
| macos-oldrel-x86_64 | OK | 228 | ||
| windows-devel | OK | 130 | ||
| windows-release | OK | 162 | ||
| windows-oldrel | OK | 114 | ||
| wasm-release | OK | 155 |
Exports:explainexplain_effectsgen_friedman
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fast approximate Shapley values | explain explain.default explain.lgb.Booster explain.lm explain.xgb.Booster |
| Main, total, and interaction effect decomposition | explain_effects print.explain_effects |
| Friedman benchmark data | gen_friedman |
| Survival of Titanic passengers | titanic |
| Survival of Titanic passengers | titanic_mice |
