getFeatures

An <code>ExprsArray</code>, <code>ExprsModel</code>, <code>ExprsPipeline</code>,
or <code>ExprsEnsemble</code> object.

object

See <code><a rd-options="" href="/link/ExprsPipeline-class?package=exprso&version=0.5.1" data-mini-rdoc="exprso::ExprsPipeline-class">ExprsPipeline-class</a></code> or
<code><a rd-options="" href="/link/ExprsEnsemble-class?package=exprso&version=0.5.1" data-mini-rdoc="exprso::ExprsEnsemble-class">ExprsEnsemble-class</a></code>.

See the respective S4 class for method details.

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

getFeatures function

See <code><a rd-options='' href='ExprsPipeline-class'>ExprsPipeline-class</a></code> or
<code><a rd-options='' href='ExprsEnsemble-class'>ExprsEnsemble-class</a></code>.

getFeatures: Retrieve Feature Set

Description

Usage

Arguments