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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>.
Getting started
Browse package contents
Package details |
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| Author | Holger Löwe [cre, aut], Christian Scholbeck [aut], Christian Heumann [rev], Bernd Bischl [rev], Giuseppe Casalicchio [rev] |
| Maintainer | Holger Löwe <hbj.loewe@gmail.com> |
| License | LGPL-3 |
| Version | 0.1.3 |
| URL | https://holgstr.github.io/fmeffects/ https://github.com/holgstr/fmeffects |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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Try the fmeffects package in your browser
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