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:	0.2.1
Depends:	R (≥ 3.0)
Imports:	ggplot2
Suggests:	knitr, rmarkdown, e1071, kernlab, xgboost, caret, randomForest, DALEX, ranger, testthat
Published:	2021-01-20
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

Documentation:

Reference manual:	breakDown.pdf
Vignettes:	breakDown plots for the generalised linear model breakDown plots for the linear model model agnostic breakDown plots for SVM model model agnostic breakDown plots for xgboost

Downloads:

Package source:	breakDown_0.2.1.tar.gz
Windows binaries:	r-devel: breakDown_0.2.1.zip, r-release: breakDown_0.2.1.zip, r-oldrel: breakDown_0.2.1.zip
macOS binaries:	r-release (arm64): breakDown_0.2.1.tgz, r-oldrel (arm64): breakDown_0.2.1.tgz, r-release (x86_64): breakDown_0.2.1.tgz, r-oldrel (x86_64): breakDown_0.2.1.tgz
Old sources:	breakDown archive

Reverse dependencies:

Reverse imports:

live, modelDown

Linking:

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