pipe

The <code>exprso</code> package includes these pipeline process modules:
- <code><a rd-options="" href="/link/pipeSubset?package=exprso&version=0.5.1" data-mini-rdoc="exprso::pipeSubset">pipeSubset</a></code>
- <code><a rd-options="" href="/link/pipeFilter?package=exprso&version=0.5.1" data-mini-rdoc="exprso::pipeFilter">pipeFilter</a></code>
- <code><a rd-options="" href="/link/pipeUnboot?package=exprso&version=0.5.1" data-mini-rdoc="exprso::pipeUnboot">pipeUnboot</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

pipe function

The <code>exprso</code> package includes these pipeline process modules:
- <code><a rd-options='' href='pipeSubset'>pipeSubset</a></code>
- <code><a rd-options='' href='pipeFilter'>pipeFilter</a></code>
- <code><a rd-options='' href='pipeUnboot'>pipeUnboot</a></code>

pipe: Process Pipelines

Description

Arguments