Package: explainer 1.0.2
Ramtin Zargari Marandi
explainer: Machine Learning Model Explainer
It enables detailed interpretation of complex classification and regression models through Shapley analysis including data-driven characterization of subgroups of individuals. Furthermore, it facilitates multi-measure model evaluation, model fairness, and decision curve analysis. Additionally, it offers enhanced visualizations with interactive elements.
Authors:
explainer_1.0.2.tar.gz
explainer_1.0.2.zip(r-4.5)explainer_1.0.2.zip(r-4.4)explainer_1.0.2.zip(r-4.3)
explainer_1.0.2.tgz(r-4.4-any)explainer_1.0.2.tgz(r-4.3-any)
explainer_1.0.2.tar.gz(r-4.5-noble)explainer_1.0.2.tar.gz(r-4.4-noble)
explainer_1.0.2.tgz(r-4.4-emscripten)explainer_1.0.2.tgz(r-4.3-emscripten)
explainer.pdf |explainer.html✨
explainer/json (API)
# Install 'explainer' in R: |
install.packages('explainer', repos = c('https://persimune.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/persimune/explainer/issues
aiexplainabilityexplainable-aimachine-learningstatistics
Last updated 1 months agofrom:260bd43acb. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 24 2024 |
R-4.5-win | NOTE | Oct 24 2024 |
R-4.5-linux | NOTE | Oct 24 2024 |
R-4.4-win | NOTE | Oct 24 2024 |
R-4.4-mac | NOTE | Oct 24 2024 |
R-4.3-win | NOTE | Oct 24 2024 |
R-4.3-mac | NOTE | Oct 24 2024 |
Exports:eCM_ploteDecisionCurveeFairnessePerformanceeROC_ploteSHAP_ploteSHAP_plot_multiclasseSHAP_plot_regrange01regressmdl_evalSHAPclustShapFeaturePlotShapPartialPlot
Dependencies:abindaskpassbackportsbase64encbayestestRbootbroombslibcachemcarcarDatacheckmateclasscliclockcodetoolscolorspaceconfintrcorrplotcowplotcpp11crosstalkcurlcvmsdata.tabledatawizardDerivdiagramdigestdoBydplyreggevaluatefansifarverfastmapfontawesomeFormulafsfuturefuture.applygenericsggplot2ggpmiscggppggpubrggrepelggsciggsignifglobalsgluegowergridExtragroupdata2gtablehardhathighrhtmltoolshtmlwidgetshttrinsightipredisobandjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelavalazyevallifecyclelistenvlme4lmodel2lubridatemagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompmultcompViewMuMInmunsellmvtnormnlmenloptrnnetnumbersnumDerivopensslparallellyparameterspbkrtestpillarpkgconfigplotlyplyrpolynompROCprodlimprogressrpromisespurrrquantregR6rappdirsRColorBrewerRcppRcppEigenrearrrrecipesrlangrmarkdownrpartrstatixsandwichsassscalesshapeSparseMsplus2RSQUAREMstringistringrsurvivalsysTH.datatibbletidyrtidyselecttimechangetimeDatetinytextzdbutf8vctrsviridisLitewithrwritexlxfunxtsyamlzoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Enhanced Confusion Matrix Plot | eCM_plot |
Decision Curve Plot | eDecisionCurve |
Enhanced Fairness Analysis | eFairness |
Enhanced Performance Evaluation | ePerformance |
Enhanced ROC and Precision-Recall Plots | eROC_plot |
Enhanced SHAP Analysis for Regression Models | eSHAP_plot_reg |
SHAP clustering | SHAPclust |
SHAP Values versus Feature Values | ShapFeaturePlot |
SHAP Partial Plot | ShapPartialPlot |