live: Local Interpretable (Model-Agnostic) Visual Explanations

Interpretability of complex machine learning models is a growing concern. This package helps to understand key factors that drive the decision made by complicated predictive model (so called black box model). This is achieved through local approximations that are either based on additive regression like model or CART like model that allows for higher interactions. The methodology is based on Tulio Ribeiro, Singh, Guestrin (2016) <doi:10.1145/2939672.2939778>.

Version: 1.4.2
Depends: R (≥ 3.0.2)
Imports: mlr, dplyr, breakDown, data.table, forestmodel, lubridate, ggplot2
Suggests: knitr, rmarkdown, testthat, glmnet, e1071
Published: 2018-04-03
Author: Mateusz Staniak [cre, aut], Przemysław Biecek [aut]
Maintainer: Mateusz Staniak <mateusz.staniak at math.uni.wroc.pl>
BugReports: https://github.com/MI2DataLab/live/issues
License: MIT + file LICENSE
URL: https://github.com/MI2DataLab/live
NeedsCompilation: no
Materials: README NEWS
CRAN checks: live results

Downloads:

Reference manual: live.pdf
Vignettes: Vignette Title
Package source: live_1.4.2.tar.gz
Windows binaries: r-prerel: live_1.4.2.zip, r-release: live_1.4.2.zip, r-oldrel: live_1.4.2.zip
OS X binaries: r-prerel: live_1.4.2.tgz, r-release: live_1.4.2.tgz

Linking:

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