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SHAPforxgboost
View on CRAN: Click
here
Download and install SHAPforxgboost package within the R console
Install from CRAN:
install.packages("SHAPforxgboost")
Install from Github:
library("remotes")
install_github("cran/SHAPforxgboost")
Install by package version:
library("remotes")
install_version("SHAPforxgboost", "0.1.3")
Attach the package and use:
library("SHAPforxgboost")
Maintained by
Yang Liu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-03
Latest Update: 2023-05-29
Description:
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'.
How to cite:
Yang Liu (2019). SHAPforxgboost: SHAP Plots for 'XGBoost'. R package version 0.1.3, https://cran.r-project.org/web/packages/SHAPforxgboost. Accessed 30 Jan. 2025.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for SHAPforxgboost
Functions, R codes and Examples using
the SHAPforxgboost R package
Some associated functions: binner . dataXY_df . label.feature . labels_within_package . new_labels . plot.label . scatter.plot.diagonal . scatter.plot.simple . shap.importance . shap.plot.dependence . shap.plot.force_plot . shap.plot.force_plot_bygroup . shap.plot.summary . shap.plot.summary.wrap1 . shap.plot.summary.wrap2 . shap.prep.interaction . shap.prep . shap.prep.stack.data . shap.values . shap_int_iris . shap_long_iris . shap_score . shap_values_iris . strongest_interaction .
Some associated R codes: SHAP_funcs.R . mydata.R . simple_plots.R . utils.R . Full SHAPforxgboost package functions and examples
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