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 [aut, cre], Przemyslaw Biecek [aut], Piotr Piatyszek [ctb] Maintainer: Hubert Baniecki <hbaniecki at gmail.com> BugReports: https://github.com/ModelOriented/modelStudio/issues License: GPL-3 URL: https://modelstudio.drwhy.ai, https://github.com/ModelOriented/modelStudio NeedsCompilation: no Language: en-US Citation: modelStudio citation info Materials: NEWS CRAN checks: modelStudio results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=modelStudio to link to this page.
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