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: | 1.1 |
| Depends: | R (≥ 3.4.0) |
| Imports: | MASS, ggplot2, data.table, purrr, xgboost, DALEX, ggrepel, ggiraphExtra, iBreakDown, Matrix, tidyr, scales |
| Suggests: | knitr, rmarkdown, lightgbm |
| Published: | 2020-02-18 |
| Author: | Ewelina Karbowiak [aut, cre], Przemyslaw Biecek [aut, ths] |
| Maintainer: | Ewelina Karbowiak <ewelina.karbowiak12 at gmail.com> |
| BugReports: | https://github.com/ModelOriented/EIX/issues |
| License: | GPL-2 |
| URL: | https://github.com/ModelOriented/EIX |
| NeedsCompilation: | no |
| CRAN checks: | EIX results |
| Reference manual: | EIX.pdf |
| Vignettes: |
EIX Explain Interactions in XGBoost EIX for Titanic data |
| Package source: | EIX_1.1.tar.gz |
| Windows binaries: | r-devel: EIX_1.1.zip, r-release: EIX_1.1.zip, r-oldrel: EIX_1.1.zip |
| macOS binaries: | r-release: EIX_1.1.tgz, r-oldrel: EIX_1.1.tgz |
| Old sources: | EIX archive |
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