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EIX
View on CRAN: Click
here
Download and install EIX package within the R console
Install from CRAN:
install.packages("EIX")
Install from Github:
library("remotes")
install_github("cran/EIX")
Install by package version:
library("remotes")
install_version("EIX", "1.2.0")
Attach the package and use:
library("EIX")
Maintained by
Szymon Maksymiuk
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-31
Latest Update: 2021-03-23
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.
How to cite:
Szymon Maksymiuk (2019). EIX: Explain Interactions in 'XGBoost'. R package version 1.2.0, https://cran.r-project.org/web/packages/EIX. Accessed 30 Jan. 2025.
Other packages that cited EIX R package
View EIX citation profile
Other R packages that EIX depends,
imports, suggests or enhances
Complete documentation for EIX
Functions, R codes and Examples using
the EIX R package
Some associated functions: EIX-package . HR_data . calculateGain . importance . interactions . lollipop . plot.importance . plot.interactions . plot.lollipop . tableOfTrees . titanic_data . waterfall .
Some associated R codes: HR_data.R . calculateGain.R . importance.R . interactions.R . lollipop.R . package.R . plot_importance.R . plot_interactions.R . plot_lollipop.R . titanic_data.R . waterfall.R . Full EIX package functions and examples
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