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.
| Version: | 0.3.12 |
| Depends: | R (≥ 3.5) |
| Imports: | glmnet, ggplot2, partykit, ingredients |
| Suggests: | covr, knitr, rmarkdown, randomForest, DALEX, testthat |
| Published: | 2019-12-18 |
| Author: | Mateusz Staniak [aut, cre], Przemyslaw Biecek [aut], Krystian Igras [ctb], Alicja Gosiewska [ctb] |
| Maintainer: | Mateusz Staniak <m.staniak at mini.pw.edu.pl> |
| BugReports: | https://github.com/ModelOriented/localModel/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| URL: | https://github.com/ModelOriented/localModel |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | localModel results |
| Reference manual: | localModel.pdf |
| Vignettes: |
Explaining classification models with localModel package Methodology behind localModel package Introduction to localModel package |
| Package source: | localModel_0.3.12.tar.gz |
| Windows binaries: | r-devel: localModel_0.3.12.zip, r-release: localModel_0.3.12.zip, r-oldrel: localModel_0.3.12.zip |
| macOS binaries: | r-release: localModel_0.3.12.tgz, r-oldrel: localModel_0.3.12.tgz |
| Old sources: | localModel archive |
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