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.

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Description file content

Package
localModel
Title
LIME-Based Explanations with Interpretable Inputs Based on Ceteris Paribus Profiles
Version
0.3.11
Author
Mateusz Staniak [aut, cre], Przemyslaw Biecek [aut], Krystian Igras [ctb], Alicja Gosiewska [ctb]
Maintainer
Mateusz Staniak
Description
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) ) in which interpretable inputs are created based on local rather than global behaviour of each original feature.
URL
BugReports
https://github.com/ModelOriented/localModel/issues
Depends
R (>= 3.5)
License
GPL
Encoding
UTF-8
LazyData
true
Imports
glmnet, ggplot2, partykit, ingredients
RoxygenNote
6.1.0
Suggests
covr, knitr, rmarkdown, randomForest, DALEX, testthat
VignetteBuilder
knitr
NeedsCompilation
no
Packaged
2019-04-13 09:45:17 UTC; mstaniak
Repository
CRAN
Date/Publication
2019-04-14 11:02:43 UTC

install.packages('localModel')

0.3.11

3 months ago

https://github.com/ModelOriented/localModel

Mateusz Staniak

GPL

Depends on

R (>= 3.5)

Imports

glmnet, ggplot2, partykit, ingredients

Suggests

covr, knitr, rmarkdown, randomForest, DALEX, testthat

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