Interface to 'Interpretable AI' Modules

An interface to the algorithms of 'Interpretable AI' <> from the R programming language. 'Interpretable AI' provides various modules, including 'Optimal Trees' for classification, regression, prescription and survival analysis, 'Optimal Imputation' for missing data imputation and outlier detection, and 'Optimal Feature Selection' for exact sparse regression. The 'iai' package is an open-source project. The 'Interpretable AI' software modules are proprietary products, but free academic and evaluation licenses are available.


Reference manual

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1.5.0 by Jack Dunn, 2 months ago

Browse source code at

Authors: Jack Dunn [aut, cre] , Ying Zhuo [aut] , Interpretable AI LLC [cph]

Documentation:   PDF Manual  

Task views: Missing Data

MIT + file LICENSE license

Imports JuliaCall, stringr, rlang, lifecycle, rappdirs

Suggests testthat, covr, xml2

System requirements: Julia (>= 1.0) and Interpretable AI System Image (>= 1.0.0)

See at CRAN