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lime  

Local Interpretable Model-Agnostic Explanations
View on CRAN: Click here


Download and install lime package within the R console
Install from CRAN:
install.packages("lime")

Install from Github:
library("remotes")
install_github("cran/lime")

Install by package version:
library("remotes")
install_version("lime", "0.5.3")



Attach the package and use:
library("lime")
Maintained by
Emil Hvitfeldt
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-09-15
Latest Update: 2022-08-19
Description:
When building complex models, it is often difficult to explain why the model should be trusted. While global measures such as accuracy are useful, they cannot be used for explaining why a model made a specific prediction. 'lime' (a port of the 'lime' 'Python' package) is a method for explaining the outcome of black box models by fitting a local model around the point in question an perturbations of this point. The approach is described in more detail in the article by Ribeiro et al. (2016) .
How to cite:
Emil Hvitfeldt (2017). lime: Local Interpretable Model-Agnostic Explanations. R package version 0.5.3, https://cran.r-project.org/web/packages/lime. Accessed 29 Jan. 2025.
Previous versions and publish date:
0.3.0 (2017-09-15 14:14), 0.3.1 (2017-11-24 11:11), 0.4.0 (2018-03-08 23:51), 0.4.1 (2018-11-21 13:50), 0.5.0 (2019-06-24 12:50), 0.5.1 (2019-11-12 09:20), 0.5.2 (2021-02-24 13:00)
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