Easily build and evaluate machine learning models on a dataset. Machine learning models supported include penalized linear models, penalized linear models with interactions, random forest, support vector machines, neural networks, and deep neural networks.
|Author||Woo-Young Ahn [aut, cre], Paul Hendricks [aut], OSU-CCSL [cph]|
|Maintainer||Woo-Young Ahn <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
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