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localModel is a successor to the live
package. It implements a variant of LIME method for explaining single
predictions of black box machine learning models for tabular data.
Interpretable features are created based on Ceteris
Paribus plots. Details of the methodology are described in the
vignette. localModel is currently undergoing rapid changes,
including bug fixes, for a stable solution please see the
live package.
To get started, install the package from CRAN:
install.packages('localModel')The development version can be installe from GitHub by using the code
below. Please do not use the devtools package, since it is
affected a
bug which makes localModel installation impossible.
This issue was solved in the Github version of remotes.
devtools::install_github("r-lib/remotes")
remotes::install_github("ModelOriented/localModel")To get help, see examples and details of the methodology, please refer to package website and vignettes.
Work on this package is financially supported by the NCN Opus grant 2017/27/B/ST6/01307.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.