modelStudio: Interactive Studio with Explanations for ML Predictive Models

Automate explanation of machine learning predictive models. This package generates advanced interactive and animated model explanations in the form of a serverless HTML site. It combines 'R' with 'D3.js' to produce plots and descriptions for various local and global explanations. Tools for model exploration unite with tools for EDA (Exploratory Data Analysis) to give a broad overview of the model behaviour. 'modelStudio' is a fast and condensed way to get all the answers without much effort. Break down your model and look into its ingredients with only a few lines of code.

Version: 0.1.9
Depends: R (≥ 3.5.0)
Imports: iBreakDown (≥ 0.9.9), ingredients (≥ 0.4.0), r2d3, jsonlite
Suggests: DALEX (≥ 0.4.9), parallelMap, randomForest, knitr, rmarkdown, testthat
Published: 2019-11-03
Author: Hubert Baniecki ORCID iD [aut, cre], Przemyslaw Biecek ORCID iD [aut]
Maintainer: Hubert Baniecki <hbaniecki at gmail.com>
BugReports: https://github.com/ModelOriented/modelStudio/issues
License: GPL-2
URL: https://ModelOriented.github.io/modelStudio/, https://github.com/ModelOriented/modelStudio
NeedsCompilation: no
Materials: NEWS
CRAN checks: modelStudio results

Downloads:

Reference manual: modelStudio.pdf
Vignettes: modelStudio - perks and features
Package source: modelStudio_0.1.9.tar.gz
Windows binaries: r-devel: modelStudio_0.1.9.zip, r-release: modelStudio_0.1.9.zip, r-oldrel: modelStudio_0.1.9.zip
OS X binaries: r-release: modelStudio_0.1.9.tgz, r-oldrel: modelStudio_0.1.9.tgz
Old sources: modelStudio archive

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