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.


Reference manual

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0.0.2 by Krystian Igras, a month ago

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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