easyml (0.1.0)

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Easily Build and Evaluate Machine Learning Models.


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.

Maintainer: Woo-Young Ahn
Author(s): Woo-Young Ahn [aut, cre], Paul Hendricks [aut], OSU-CCSL [cph]

License: MIT + file LICENSE

Uses: caret, corrplot, darch, dummies, e1071, futile.logger, ggplot2, glinternet, glmnet, nnet, pbapply, pbmcapply, pROC, randomForest, scales, scorer, testthat, knitr, rmarkdown, lintr, covr

Released about 2 years ago.



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