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EIX (version 1.2.0)

Explain Interactions in 'XGBoost'

Description

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.

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Version

Install

install.packages('EIX')

Monthly Downloads

328

Version

1.2.0

License

GPL-2

Issues

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Maintainer

Szymon Maksymiuk

Last Published

March 23rd, 2021

Functions in EIX (1.2.0)

calculateGain

calculateGain
plot.lollipop

Visualiation of the model
importance

Importance of variables and interactions in the model
interactions

Importance of interactions and pairs in the model
EIX-package

EIX package
plot.importance

Plot importance measures
tableOfTrees

tableOfTrees
plot.interactions

Plot importance of interactions or pairs
waterfall

Explain prediction of a single observation
titanic_data

Passengers and Crew on the RMS Titanic
HR_data

Why are our best and most experienced employees leaving prematurely?
lollipop

Tables needed for lollipop plot