ExprsModel-class

show,ExprsModel-method

getFeatures,ExprsModel-method

getWeights,ExprsModel-method

An object of class <code>ExprsModel</code>.

object

For <code>getWeights</code>, optional arguments passed to
<code>glmnet::coef.cv.glmnet</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

ExprsModel-class function

<ul>
<li><code>show</code>: Method to show <code>ExprsModel</code> object.</li>
<li><code>getFeatures</code>: Method to return features within an <code>ExprsModel</code> object.</li>
<li><code>getWeights</code>: Method to return LASSO weights.</li>
</ul>

Methods (by generic)

<dl class="dl-horizontal">
<dt><code>preFilter</code></dt><dd>Typically a list. Stores feature selection history.</dd></dl><dt><code>reductionModel</code></dt><dd>Typically a list. Stores dimension reduction history.</dd><dt><code>mach</code></dt><dd>Typically an S4 class. Stores the model.</dd>

ExprsModel-class: An S4 class to store the model

Description

Usage

Arguments

Methods (by generic)

Slots

See Also