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.
Version: 1.2.0 Depends: R (≥ 3.5.0) Imports: MASS, ggplot2, data.table, purrr, xgboost, DALEX, ggrepel, ggiraphExtra, iBreakDown, tidyr, scales Suggests: Matrix, knitr, rmarkdown, lightgbm Published: 2021-03-23 DOI: 10.32614/CRAN.package.EIX Author: Szymon Maksymiuk [aut, cre], Ewelina Karbowiak [aut], Przemyslaw Biecek [aut, ths] Maintainer: Szymon Maksymiuk <sz.maksymiuk at gmail.com> BugReports: https://github.com/ModelOriented/EIX/issues License: GPL-2 URL: https://github.com/ModelOriented/EIX NeedsCompilation: no Materials: NEWS CRAN checks: EIX results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=EIX to link to this page.
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