EIX: Explain Interactions in 'XGBoost'

Structure mining from 'XGBoost' and 'LightGBM' models. Key functionalities of this package cover: visualisation of tree-based ensembles models, identification of interactions, measuring of variable importance, measuring of interaction importance, explanation of single prediction with break down plots (based on 'xgboostExplainer' and 'iBreakDown' packages). To download the 'LightGBM' use the following link: <https://github.com/Microsoft/LightGBM>. 'EIX' is a part of the 'DrWhy.AI' universe.

Version: 1.1
Depends: R (≥ 3.4.0)
Imports: MASS, ggplot2, data.table, purrr, xgboost, DALEX, ggrepel, ggiraphExtra, iBreakDown, Matrix, tidyr, scales
Suggests: knitr, rmarkdown, lightgbm
Published: 2020-02-18
Author: Ewelina Karbowiak [aut, cre], Przemyslaw Biecek [aut, ths]
Maintainer: Ewelina Karbowiak <ewelina.karbowiak12 at gmail.com>
BugReports: https://github.com/ModelOriented/EIX/issues
License: GPL-2
URL: https://github.com/ModelOriented/EIX
NeedsCompilation: no
CRAN checks: EIX results


Reference manual: EIX.pdf
Vignettes: EIX Explain Interactions in XGBoost
EIX for Titanic data
Package source: EIX_1.1.tar.gz
Windows binaries: r-devel: EIX_1.1.zip, r-release: EIX_1.1.zip, r-oldrel: EIX_1.1.zip
macOS binaries: r-release: EIX_1.1.tgz, r-oldrel: EIX_1.1.tgz
Old sources: EIX archive


Please use the canonical form https://CRAN.R-project.org/package=EIX to link to this page.