ExprsEnsemble-class

show,ExprsEnsemble-method

getFeatures,ExprsEnsemble-method

getWeights,ExprsEnsemble-method

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

object

A numeric scalar. The i-th model from which to retrieve features or weights.
If missing, function will tabulate features or weights across all models.

index

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

An S4 class to store multiple models

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

ExprsEnsemble-class function

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

Methods (by generic)

<dl class="dl-horizontal">
<dt><code>machs</code></dt><dd>Typically a list. Stores the models.</dd>
</dl>

ExprsEnsemble-class: An S4 class to store multiple models

Description

Usage

Arguments

Methods (by generic)

Slots

See Also