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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.
Getting started
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Package details |
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| Author | Szymon Maksymiuk [aut, cre], Ewelina Karbowiak [aut], Przemyslaw Biecek [aut, ths] |
| Maintainer | Szymon Maksymiuk <sz.maksymiuk@gmail.com> |
| License | GPL-2 |
| Version | 1.2.0 |
| URL | https://github.com/ModelOriented/EIX |
| Package repository | View on CRAN |
| Installation |
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