Package: treeshap 0.3.1.9000
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_0.3.1.9000.tar.gz
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treeshap.pdf |treeshap.html✨
treeshap/json (API)
# 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
- fifa20 - Attributes of all players in FIFA 20
explainabilityexplainable-aiexplainable-artificial-intelligenceexplanatory-model-analysisimlinterpretabilityinterpretable-machine-learningmachine-learningresponsible-mlshapshapley-valuexai
Last updated 10 months agofrom:a1a5472fe5. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win-x86_64 | OK | Oct 31 2024 |
R-4.5-linux-x86_64 | OK | Oct 31 2024 |
R-4.4-win-x86_64 | OK | Oct 31 2024 |
R-4.4-mac-x86_64 | OK | Oct 31 2024 |
R-4.4-mac-aarch64 | OK | Oct 31 2024 |
R-4.3-win-x86_64 | OK | Oct 31 2024 |
R-4.3-mac-x86_64 | OK | Oct 31 2024 |
R-4.3-mac-aarch64 | OK | Oct 31 2024 |
Exports:colors_breakdown_drwhycolors_discrete_drwhygbm.unifyis.model_unifiedis.treeshaplightgbm.unifyplot_contributionplot_feature_dependenceplot_feature_importanceplot_interactionrandomForest.unifyranger_surv.unifyranger.unifyset_reference_datasettheme_drwhytheme_drwhy_verticaltreeshapunifyxgboost.unify
Dependencies:clicolorspacedata.tablefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcpprlangscalestibbleutf8vctrsviridisLitewithr