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.
|Author||Thomas Quinn [aut, cre], Daniel Tylee [ctb], Samuel Lee [ctb]|
|Date of publication||2018-05-09 03:21:09 UTC|
|Maintainer||Thomas Quinn <[email protected]>|
|Package repository||View on CRAN|
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