exprso (0.4.7)

Rapid Deployment of Machine Learning Algorithms.


Supervised machine learning has an increasingly important role in data analysis. This package introduces a framework for rapidly building and deploying supervised machine learning in a high-throughput manner. This package provides a user-friendly interface that empowers investigators to execute state-of-the-art binary and multi-class classification, as well as regression, with minimal programming experience necessary.

Maintainer: Thomas Quinn
Author(s): Thomas Quinn [aut, cre], Daniel Tylee [ctb], Samuel Lee [ctb]

License: GPL-2

Uses: cluster, e1071, frbs, glmnet, kernlab, lattice, MASS, nnet, plyr, randomForest, ROCR, rpart, sampling, testthat, pathClass, knitr, mRMRe, magrittr, h2o, rmarkdown, propr, balance

Released about 1 year ago.