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.

Package details

AuthorSzymon Maksymiuk [aut, cre], Ewelina Karbowiak [aut], Przemyslaw Biecek [aut, ths]
MaintainerSzymon Maksymiuk <sz.maksymiuk@gmail.com>
URL https://github.com/ModelOriented/EIX
Package repositoryView on CRAN
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EIX documentation built on March 23, 2021, 9:06 a.m.