localModel
LIME-Based Explanations with Interpretable Inputs Based on Ceteris Paribus Profiles
Local explanations of machine learning models describe, how features contributed to a single prediction. This package implements an explanation method based on LIME (Local Interpretable Model-agnostic Explanations, see Tulio Ribeiro, Singh, Guestrin (2016) <doi:10.1145/2939672.2939778>) in which interpretable inputs are created based on local rather than global behaviour of each original feature.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.5 |
rolling linux/jammy R-4.5 | localModel_0.5.tar.gz |
115.9 KiB |
0.5 |
rolling linux/noble R-4.5 | localModel_0.5.tar.gz |
115.8 KiB |
0.5 |
rolling source/ R- | localModel_0.5.tar.gz |
72.3 KiB |
0.5 |
latest linux/jammy R-4.5 | localModel_0.5.tar.gz |
115.9 KiB |
0.5 |
latest linux/noble R-4.5 | localModel_0.5.tar.gz |
115.8 KiB |
0.5 |
latest source/ R- | localModel_0.5.tar.gz |
72.3 KiB |
0.5 |
2026-04-26 source/ R- | localModel_0.5.tar.gz |
72.3 KiB |
0.5 |
2026-04-23 source/ R- | localModel_0.5.tar.gz |
72.3 KiB |
0.5 |
2026-04-09 windows/windows R-4.5 | localModel_0.5.zip |
121.4 KiB |
0.5 |
2025-04-20 source/ R- | localModel_0.5.tar.gz |
72.3 KiB |