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LIME-like explanations with interpretable features based on Ceteris Paribus curves. Now on CRAN.

localModel 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# localModel: Local Explanations of Machine Learning Models for Tabular Data.

[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/localModel)](https://cran.r-project.org/package=localModel)
[![Travis-CI Build Status](https://travis-ci.org/ModelOriented/localModel.svg?branch=master)](https://travis-ci.org/ModelOriented/localModel)
[![Coverage Status](https://img.shields.io/codecov/c/github/ModelOriented/localModel/master.svg)](https://codecov.io/github/ModelOriented/localModel?branch=master)

`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](https://github.com/ModelOriented/ceterisParibus2) 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 installed from GitHub by using the code below.

```
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.

## Acknowledgments

Work on this package is financially supported by the NCN Opus grant 2017/27/B/ST6/01307.

localModel

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