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 'breakDown' packages). To download the 'LightGBM' use the following link: < https://github.com/Microsoft/LightGBM>. 'EIX' is a part of the 'DrWhy.AI' universe.


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install.packages("EIX")

1.0 by Ewelina Karbowiak, 6 months ago


https://github.com/ModelOriented/EIX


Report a bug at https://github.com/ModelOriented/EIX/issues


Browse source code at https://github.com/cran/EIX


Authors: Ewelina Karbowiak [aut, cre] , Przemyslaw Biecek [aut, ths]


Documentation:   PDF Manual  


GPL-2 license


Imports MASS, ggplot2, data.table, purrr, xgboost, DALEX, ggrepel, ggiraphExtra, iBreakDown, Matrix, tidyr, scales

Suggests knitr, rmarkdown, lightgbm


See at CRAN