Package: treeshap 0.4.0
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'.
Authors:
treeshap_0.4.0.tar.gz
treeshap_0.4.0.zip(r-4.7)treeshap_0.4.0.zip(r-4.6)treeshap_0.4.0.zip(r-4.5)
treeshap_0.4.0.tgz(r-4.6-x86_64)treeshap_0.4.0.tgz(r-4.6-arm64)treeshap_0.4.0.tgz(r-4.5-x86_64)treeshap_0.4.0.tgz(r-4.5-arm64)
treeshap_0.4.0.tar.gz(r-4.7-arm64)treeshap_0.4.0.tar.gz(r-4.7-x86_64)treeshap_0.4.0.tar.gz(r-4.6-arm64)treeshap_0.4.0.tar.gz(r-4.6-x86_64)
treeshap_0.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
treeshap/json (API)
NEWS
| # Install 'treeshap' in R: |
| install.packages('treeshap', repos = c('https://modeloriented.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/modeloriented/treeshap/issues
Pkgdown/docs site:https://modeloriented.github.io
- fifa20 - Attributes of all players in FIFA 20
explainabilityexplainable-aiexplainable-artificial-intelligenceexplanatory-model-analysisimlinterpretabilityinterpretable-machine-learningmachine-learningresponsible-mlshapshapley-valuexaicpp
Last updated from:09be1a095b. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 212 | ||
| linux-devel-x86_64 | OK | 224 | ||
| source / vignettes | OK | 176 | ||
| linux-release-arm64 | OK | 228 | ||
| linux-release-x86_64 | OK | 240 | ||
| macos-release-arm64 | OK | 128 | ||
| macos-release-x86_64 | OK | 398 | ||
| macos-oldrel-arm64 | OK | 136 | ||
| macos-oldrel-x86_64 | OK | 595 | ||
| windows-devel | OK | 235 | ||
| windows-release | OK | 168 | ||
| windows-oldrel | OK | 182 | ||
| wasm-release | OK | 131 |
Exports:colors_breakdown_drwhycolors_discrete_drwhygbm.unifygpboost.unifyis.model_unifiedis.treeshaplightgbm.unifyplot_contributionplot_feature_dependenceplot_feature_importanceplot_interactionrandomForest.unifyranger_surv.unifyranger.unifyset_reference_datasettheme_drwhytheme_drwhy_verticaltreeshapunifyxgboost.unify
Dependencies:clicpp11data.tablefarverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerRcpprlangS7scalesvctrsviridisLitewithr
