breakDown: Model Agnostic Explainers for Individual Predictions

Model agnostic tool for decomposition of predictions from black boxes. Break Down Table shows contributions of every variable to a final prediction. Break Down Plot presents variable contributions in a concise graphical way. This package work for binary classifiers and general regression models.

Version: 0.1.6
Depends: R (≥ 3.0)
Imports: ggplot2
Suggests: knitr, rmarkdown, e1071, kernlab, xgboost, caret, randomForest, ranger, testthat
Published: 2018-06-14
Author: Przemyslaw Biecek [aut, cre], Aleksandra Grudziaz [ctb]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek at gmail.com>
BugReports: https://github.com/pbiecek/breakDown/issues
License: GPL-2
URL: https://pbiecek.github.io/breakDown/
NeedsCompilation: no
Citation: breakDown citation info
Materials: NEWS
CRAN checks: breakDown results

Downloads:

Reference manual: breakDown.pdf
Vignettes: model agnostic breakDown plots for caret
breakDown plots for the generalised linear model
breakDown plots for the linear model
model agnostic breakDown plots for randomForest
model agnostic breakDown plots for ranger
model agnostic breakDown plots for SVM model
model agnostic breakDown plots for xgboost
Package source: breakDown_0.1.6.tar.gz
Windows binaries: r-devel: breakDown_0.1.6.zip, r-release: breakDown_0.1.6.zip, r-oldrel: breakDown_0.1.6.zip
OS X binaries: r-release: breakDown_0.1.6.tgz, r-oldrel: breakDown_0.1.6.tgz
Old sources: breakDown archive

Reverse dependencies:

Reverse imports: DALEX, live, survxai
Reverse suggests: auditor

Linking:

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