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: | 0.2.0 |
Depends: | R (≥ 3.0) |
Imports: | ggplot2 |
Suggests: | knitr, rmarkdown, e1071, kernlab, xgboost, caret, randomForest, DALEX, ranger, testthat |
Published: | 2020-04-05 |
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 |
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_0.2.0.tar.gz |
Windows binaries: | r-devel: breakDown_0.2.0.zip, r-release: breakDown_0.2.0.zip, r-oldrel: breakDown_0.2.0.zip |
macOS binaries: | r-release: breakDown_0.2.0.tgz, r-oldrel: breakDown_0.2.0.tgz |
Old sources: | breakDown archive |
Reverse imports: | live, modelDown |
Reverse suggests: | xspliner |
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