Package: glex 0.6.0

Marvin N. Wright

glex: Global Explanations for Tree-Based Models

Global explanations for tree-based models by decomposing regression or classification functions into the sum of main components and interaction components of arbitrary order. Calculates SHAP values and q-interaction SHAP for all values of q for tree-based models such as xgboost.

Authors:Marvin N. Wright [aut, cre], Joseph Theo Meyer [aut], Munir Hiabu [aut], Lukas Burk [aut], Jinyang Liu [aut]

glex_0.6.0.tar.gz
glex_0.6.0.zip(r-4.7)glex_0.6.0.zip(r-4.6)glex_0.6.0.zip(r-4.5)
glex_0.6.0.tgz(r-4.6-x86_64)glex_0.6.0.tgz(r-4.6-arm64)glex_0.6.0.tgz(r-4.5-x86_64)glex_0.6.0.tgz(r-4.5-arm64)
glex_0.6.0.tar.gz(r-4.7-arm64)glex_0.6.0.tar.gz(r-4.7-x86_64)glex_0.6.0.tar.gz(r-4.6-arm64)glex_0.6.0.tar.gz(r-4.6-x86_64)
glex_0.6.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
glex/json (API)

# Install 'glex' in R:

install.packages('glex', repos = c('https://plantedml.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/plantedml/glex/issues

Pkgdown/docs site:https://plantedml.com

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

bike - Bikesharing data

On CRAN:

cpp

4.87 score 7 stars 35 scripts 10 exports 30 dependencies

Last updated from:bd6b31ed7c. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	197
linux-devel-x86_64	OK	182
source / vignettes	OK	239
linux-release-arm64	OK	194
linux-release-x86_64	OK	182
macos-release-arm64	OK	125
macos-release-x86_64	OK	275
macos-oldrel-arm64	OK	158
macos-oldrel-x86_64	OK	335
windows-devel	OK	140
windows-release	OK	141
windows-oldrel	OK	149
wasm-release	OK	137

Exports:glex glex_explain glex_vi plot_main_effect plot_pdp plot_threeway_effects plot_twoway_effects subset_component_names subset_components theme_glex

Dependencies:backports checkmate cli codetools cpp11 crayon data.table farver foreach ggplot2 glue gtable hms isoband iterators labeling lifecycle pkgconfig prettyunits progress R6 RColorBrewer Rcpp rlang S7 scales scico vctrs viridisLite withr

glex

Rendered fromglex.Rmdusingknitr::rmarkdown

Last update: 2023-02-24
Started: 2023-02-24

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Plot Prediction Components	autoplot.glex plot_main_effect plot_threeway_effects plot_twoway_effects
Plot glex Variable Importances	autoplot.glex_vi
Bikesharing data	bike
Global explanations for tree-based models.	glex glex.default glex.ranger glex.rpf glex.xgb.Booster
Explain a single prediction	glex_explain
Package options for glex plots	glex_options
Variable Importance for Main and Interaction Terms	glex_vi
Partial Dependence Plot	plot_pdp
Print glex objects	print.glex
Subset components	subset_components subset_component_names
A ggplot2 theme for glex plots	theme_glex