Assisted Model Building, using Surrogate Black-Box Models to Train Interpretable Spline Based Additive Models

Builds generalized linear model with automatic data transformation. The 'xspliner' helps to build simple, interpretable models that inherits informations provided by more complicated ones. The resulting model may be treated as explanation of provided black box, that was supplied prior to the algorithm.


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install.packages("xspliner")

0.0.2 by Krystian Igras, a month ago


https://ModelOriented.github.io/xspliner/


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


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


Authors: Krystian Igras [aut, cre] , Przemyslaw Biecek [aut, ths]


Documentation:   PDF Manual  


GPL license


Imports stats, pdp, dplyr, ggplot2, mgcv, magrittr, purrr, tidyr

Suggests ALEPlot, factorMerger, testthat, knitr, rmarkdown, ResourceSelection, randomForest, e1071, caret, breakDown, DALEX, xgboost, gridExtra, grid


See at CRAN