xspliner (0.0.4)

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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.

Maintainer: Krystian Igras
Author(s): Krystian Igras [aut, cre], Przemyslaw Biecek [aut, ths]

License: GPL

Uses: dplyr, ggplot2, magrittr, mgcv, pdp, pROC, purrr, tidyr, caret, e1071, randomForest, testthat, gridExtra, ResourceSelection, knitr, ISLR, xgboost, rmarkdown, factorMerger, ALEPlot, breakDown, DALEX

Released 6 months ago.

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