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: Interface to 'Interpretable AI' Modules (original) (raw)

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.

Version: 1.10.2
Imports: JuliaCall (≥ 0.17.5), stringr, rlang, lifecycle, rappdirs, ggplot2, cowplot, rjson
Suggests: testthat, covr, xml2, withr
Published: 2024-10-18
DOI: 10.32614/CRAN.package.iai
Author: Jack Dunn [aut, cre], Ying Zhuo [aut], Interpretable AI LLC [cph]
Maintainer: Jack Dunn
License: MIT + file
URL: https://www.interpretable.ai
NeedsCompilation: no
SystemRequirements: Julia (>= 1.0) and Interpretable AI System Image (>= 1.0.0)
Materials: README, NEWS
In views: MissingData
CRAN checks: iai results

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