Interface to 'Interpretable AI' Modules

An interface to the algorithms of 'Interpretable AI' < https://www.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.


iai: Interpretable AI R Interface

iai is a package providing an interface to the algorithms of Interpretable AI from the R programming language, including:

  • Optimal Trees for classification, regression, prescription and survival analysis
  • Optimal Imputation for missing data imputation and outlier detection
  • Optimal Feature Selection for exact sparse regression

Installation and Usage

Please refer to the official Interpretable AI documentation for information on setting up and using the package.

Reference manual

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install.packages("iai")

1.10.2 by Jack Dunn, 2 years ago


https://www.interpretable.ai


Browse source code at https://github.com/cran/iai


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


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports JuliaCall, stringr, rlang, lifecycle, rappdirs, ggplot2, cowplot, rjson

Suggests testthat, covr, xml2, withr

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


See at CRAN