fmeffects: Model-Agnostic Interpretations with Forward Marginal Effects
Create local, regional, and global explanations for any machine learning model with forward marginal effects. You provide a model and data, and 'fmeffects' computes feature effects. The package is based on the theory in: C. A. Scholbeck, G. Casalicchio, C. Molnar, B. Bischl, and C. Heumann (2022) <doi:10.48550/arXiv.2201.08837>.
| Version: | 0.1.4 |
| Depends: | R (≥ 3.5.0) |
| Imports: | checkmate,cli,data.table,partykit,ggparty,ggplot2,cowplot,R6,testthat |
| Suggests: | caret,furrr,future,hexbin,knitr,mlr3verse,parallelly,ranger,rmarkdown,rpart,tidymodels |
| Published: | 2024-11-05 |
| DOI: | 10.32614/CRAN.package.fmeffects |
| Author: | Holger Löwe [cre, aut], Christian Scholbeck [aut], Christian Heumann [rev], Bernd Bischl [rev], Giuseppe Casalicchio [rev] |
| Maintainer: | Holger Löwe <hbj.loewe at gmail.com> |
| BugReports: | https://github.com/holgstr/fmeffects/issues |
| License: | LGPL-3 |
| URL: | https://holgstr.github.io/fmeffects/,https://github.com/holgstr/fmeffects |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | fmeffects results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=fmeffectsto link to this page.