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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.4 |
rolling linux/jammy R-4.5 | fmeffects_0.1.4.tar.gz |
2.6 MiB |
0.1.4 |
rolling linux/noble R-4.5 | fmeffects_0.1.4.tar.gz |
2.6 MiB |
0.1.4 |
rolling source/ R- | fmeffects_0.1.4.tar.gz |
2.3 MiB |
0.1.4 |
latest linux/jammy R-4.5 | fmeffects_0.1.4.tar.gz |
2.6 MiB |
0.1.4 |
latest linux/noble R-4.5 | fmeffects_0.1.4.tar.gz |
2.6 MiB |
0.1.4 |
latest source/ R- | fmeffects_0.1.4.tar.gz |
2.3 MiB |
0.1.4 |
2026-04-26 source/ R- | fmeffects_0.1.4.tar.gz |
2.3 MiB |
0.1.4 |
2026-04-23 source/ R- | fmeffects_0.1.4.tar.gz |
2.3 MiB |
0.1.4 |
2026-04-09 windows/windows R-4.5 | fmeffects_0.1.4.zip |
2.6 MiB |
0.1.4 |
2025-04-20 source/ R- | fmeffects_0.1.4.tar.gz |
2.3 MiB |