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DESCRIPTION
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DESCRIPTION
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Package: easyml
Version: 0.1.1
Title: Easily Build and Evaluate Machine Learning Models
Description: 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.
Authors@R: c(
person("Woo-Young", "Ahn", , "ahn.280@osu.edu", c("aut", "cre")),
person("Paul", "Hendricks", , "paul.hendricks.2013@owu.edu", "aut"),
person("OSU-CCSL", role = "cph"))
License: MIT + file LICENSE
LazyData: true
Depends:
R (>= 3.3.1)
Imports:
caret,
corrplot,
dummies,
e1071,
futile.logger,
ggplot2,
glinternet,
glmnet,
parallel,
pbapply,
pbmcapply,
pROC,
nnet,
randomForest,
scales,
scorer
Suggests:
covr,
lintr,
testthat,
knitr,
rmarkdown
URL: https://github.com/CCS-Lab/easyml
BugReports: https://github.com/CCS-Lab/easyml/issues
RoxygenNote: 6.0.1