modelStudio: Interactive Studio for Explanatory Model Analysis

Automate the explanatory analysis of machine learning predictive models. Generate advanced interactive and animated 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 dataset level) model explanations and produces an interactive, customizable dashboard made with 'D3.js'. It consists of multiple panels for plots with their short descriptions. Easily save and share the dashboard with others. Tools for model exploration unite with tools for EDA (Exploratory Data Analysis) to give a broad overview of the model behavior.

Version: 1.0.2
Depends: R (≥ 3.5)
Imports: iBreakDown (≥ 1.0), ingredients (≥ 1.0), r2d3, jsonlite, progress, digest
Suggests: DALEX (≥ 1.0), parallelMap, randomForest, xgboost, knitr, rmarkdown, testthat, spelling, covr
Published: 2020-04-13
Author: Hubert Baniecki ORCID iD [aut, cre], Przemyslaw Biecek ORCID iD [aut]
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 - Python & R examples
Package source: modelStudio_1.0.2.tar.gz
Windows binaries: r-prerelease:, r-release:, r-oldrel:
macOS binaries: r-prerelease: modelStudio_1.0.2.tgz, r-release: modelStudio_1.0.2.tgz, r-oldrel: modelStudio_1.0.1.tgz
Old sources: modelStudio archive


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