The <code>exprso</code> package includes these automated pipeline modules:
- <code><a rd-options="" href="/link/plCV?package=exprso&version=0.5.1" data-mini-rdoc="exprso::plCV">plCV</a></code>
- <code><a rd-options="" href="/link/plGrid?package=exprso&version=0.5.1" data-mini-rdoc="exprso::plGrid">plGrid</a></code>
- <code><a rd-options="" href="/link/plGridMulti?package=exprso&version=0.5.1" data-mini-rdoc="exprso::plGridMulti">plGridMulti</a></code>
- <code><a rd-options="" href="/link/plMonteCarlo?package=exprso&version=0.5.1" data-mini-rdoc="exprso::plMonteCarlo">plMonteCarlo</a></code>
- <code><a rd-options="" href="/link/plNested?package=exprso&version=0.5.1" data-mini-rdoc="exprso::plNested">plNested</a></code>

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.

Thomas Quinn

exprso

Rapid Deployment of Machine Learning Algorithms

Daniel Tylee

Samuel Lee

pl function

The <code>exprso</code> package includes these automated pipeline modules:
- <code><a rd-options='' href='plCV'>plCV</a></code>
- <code><a rd-options='' href='plGrid'>plGrid</a></code>
- <code><a rd-options='' href='plGridMulti'>plGridMulti</a></code>
- <code><a rd-options='' href='plMonteCarlo'>plMonteCarlo</a></code>
- <code><a rd-options='' href='plNested'>plNested</a></code>

pl: Deploy Pipeline

Description

Arguments