CRAN/E | EIX

EIX

Explain Interactions in 'XGBoost'

Installation

About

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: . 'EIX' is a part of the 'DrWhy.AI' universe.

github.com/ModelOriented/EIX
Bug report File report

Key Metrics

Version 1.2.0
R ≥ 3.5.0
Published 2021-03-23 1124 days ago
Needs compilation? no
License GPL-2
CRAN checks EIX results

Downloads

Yesterday 13 0%
Last 7 days 80 -20%
Last 30 days 327 +11%
Last 90 days 1.096 +28%
Last 365 days 4.082 -28%

Maintainer

Maintainer

Szymon Maksymiuk

sz.maksymiuk@gmail.com

Authors

Szymon Maksymiuk

aut / cre

Ewelina Karbowiak

aut

Przemyslaw Biecek

aut / ths

Material

NEWS
Reference manual
Package source

Vignettes

EIX Explain Interactions in XGBoost
EIX for Titanic data

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

EIX archive

Depends

R ≥ 3.5.0

Imports

MASS
ggplot2
data.table
purrr
xgboost
DALEX
ggrepel
ggiraphExtra
iBreakDown
tidyr
scales

Suggests

Matrix
knitr
rmarkdown
lightgbm