Crandore Hub

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

VersionRepositoryFileSize
0.5 2026-04-09 windows/windows R-4.5 localModel_0.5.zip 121.4 KiB

Dependencies (latest)

Imports

Suggests