CRAN/E | xspliner

xspliner

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

Installation

About

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.

ModelOriented.github.io/xspliner/
Bug report File report

Key Metrics

Version 0.0.4
R ≥ 3.0
Published 2019-09-25 1674 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks xspliner results

Downloads

Yesterday 1 0%
Last 7 days 2 -71%
Last 30 days 27 -23%
Last 90 days 97 -32%
Last 365 days 439 -71%

Maintainer

Maintainer

Krystian Igras

krystian8207@gmail.com

Authors

Krystian Igras

aut / cre

Przemyslaw Biecek

aut / ths

Material

README
NEWS
Reference manual
Package source

Vignettes

Automate your work
Use cases
Classification and discrete predictors
Extra information about the package
Graphics
Methods and xspliner environment
Basic theory and usage

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

xspliner archive

Depends

R ≥ 3.0

Imports

stats
pdp
dplyr
ggplot2
mgcv
magrittr
purrr
tidyr
pROC ≥ 1.15.3

Suggests

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