modelStudio: Interactive Studio for Explanatory Model Analysis

Automate the explanatory analysis of machine learning predictive models. Generate advanced interactive model explanations in the form of a serverless HTML site with only one line of code. This tool is model-agnostic, therefore compatible with most of the black-box predictive models and frameworks. The main function computes various (instance and model-level) explanations and produces a customisable dashboard, which consists of multiple panels for plots with their short descriptions. It is possible to easily save the dashboard and share it with others. modelStudio facilitates the process of Interactive Explanatory Model Analysis introduced in Baniecki et al. (2023) <doi:10.1007/s10618-023-00924-w>.

Version: 3.1.2
Depends: R (≥ 3.6)
Imports: DALEX (≥ 2.2.1), ingredients (≥ 2.2.0), iBreakDown (≥ 2.0.1), r2d3, jsonlite, progress, digest
Suggests: parallelMap, ranger, xgboost, knitr, rmarkdown, testthat, spelling
Published: 2023-02-20
DOI: 10.32614/CRAN.package.modelStudio
Author: Hubert Baniecki ORCID iD [aut, cre], Przemyslaw Biecek ORCID iD [aut], Piotr Piatyszek [ctb]
Maintainer: Hubert Baniecki <hbaniecki at>
License: GPL-3
NeedsCompilation: no
Language: en-US
Citation: modelStudio citation info
Materials: NEWS
CRAN checks: modelStudio results


Reference manual: modelStudio.pdf
Vignettes: modelStudio - perks and features
modelStudio - R & Python examples
modelStudio in R Markdown HTML


Package source: modelStudio_3.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): modelStudio_3.1.2.tgz, r-oldrel (arm64): modelStudio_3.1.2.tgz, r-release (x86_64): modelStudio_3.1.2.tgz, r-oldrel (x86_64): modelStudio_3.1.2.tgz
Old sources: modelStudio archive


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