breakDown: Model Agnostic Explainers for Individual Predictions (original) (raw)
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: | 0.2.2 |
|---|---|
| Depends: | R (≥ 3.0) |
| Imports: | ggplot2 |
| Suggests: | knitr, rmarkdown, e1071, kernlab, xgboost, caret, randomForest, DALEX, ranger, testthat |
| Published: | 2024-03-11 |
| DOI: | 10.32614/CRAN.package.breakDown |
| 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 |
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