Package: SHAPforxgboost 0.1.3
SHAPforxgboost: SHAP Plots for 'XGBoost'
Aid in visual data investigations using SHAP (SHapley Additive exPlanation) visualization plots for 'XGBoost' and 'LightGBM'. It provides summary plot, dependence plot, interaction plot, and force plot and relies on the SHAP implementation provided by 'XGBoost' and 'LightGBM'. Please refer to 'slundberg/shap' for the original implementation of SHAP in 'Python'.
Authors:
SHAPforxgboost_0.1.3.tar.gz
SHAPforxgboost_0.1.3.zip(r-4.5)SHAPforxgboost_0.1.3.zip(r-4.4)SHAPforxgboost_0.1.3.zip(r-4.3)
SHAPforxgboost_0.1.3.tgz(r-4.4-any)SHAPforxgboost_0.1.3.tgz(r-4.3-any)
SHAPforxgboost_0.1.3.tar.gz(r-4.5-noble)SHAPforxgboost_0.1.3.tar.gz(r-4.4-noble)
SHAPforxgboost_0.1.3.tgz(r-4.4-emscripten)SHAPforxgboost_0.1.3.tgz(r-4.3-emscripten)
SHAPforxgboost.pdf |SHAPforxgboost.html✨
SHAPforxgboost/json (API)
NEWS
# Install 'SHAPforxgboost' in R: |
install.packages('SHAPforxgboost', repos = c('https://liuyanguu.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/liuyanguu/shapforxgboost/issues
- dataXY_df - Terra satellite data (X,Y) for running the xgboost model .
- labels_within_package - Labels_within_package: Some labels package auther defined to make his plot, mainly serve the paper publication.
- new_labels - New_labels: a place holder default to NULL.
- shap_int_iris - The interaction effect SHAP values example using iris dataset.
- shap_long_iris - The long-format SHAP values example using iris dataset.
- shap_score - SHAP values example from dataXY_df .
- shap_values_iris - SHAP values example using iris dataset.
Last updated 8 months agofrom:46cbbc2036. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 17 2024 |
R-4.5-win | OK | Nov 17 2024 |
R-4.5-linux | OK | Nov 17 2024 |
R-4.4-win | OK | Nov 17 2024 |
R-4.4-mac | OK | Nov 17 2024 |
R-4.3-win | OK | Nov 17 2024 |
R-4.3-mac | OK | Nov 17 2024 |
Exports:scatter.plot.diagonalscatter.plot.simpleshap.importanceshap.plot.dependenceshap.plot.force_plotshap.plot.force_plot_bygroupshap.plot.summaryshap.plot.summary.wrap1shap.plot.summary.wrap2shap.prepshap.prep.interactionshap.prep.stack.datashap.values
Dependencies:abindbackportsbase64encBBmiscbootbroombslibcachemcarcarDatacheckmateclicolorspacecolourpickercommonmarkcorrplotcowplotcpp11crayondata.tableDerivdigestdoBydplyrevaluatefansifarverfastmapfontawesomeFormulafsgenericsggExtraggforceggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminiUIminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolyclippolynompromisespurrrquantregR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownrstatixsassscalesshinyshinyjssourcetoolsSparseMstringistringrsurvivalsystemfontstibbletidyrtidyselecttinytextweenrutf8vctrsviridisLitewithrxfunxgboostxtableyaml