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iai: 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.
Getting started
Browse package contents
Package details |
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| Author | Jack Dunn [aut, cre], Ying Zhuo [aut], Interpretable AI LLC [cph] |
| Maintainer | Jack Dunn <jack@interpretable.ai> |
| License | MIT + file LICENSE |
| Version | 1.10.1 |
| URL | https://www.interpretable.ai |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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