testSet

validationSet

A two-item list. The result of a <code>split</code> method call.

splitSets


This function extracts the validation set from the result of a
 <code>split</code> method call such as <code>splitSample</code> or <code>splitStratify</code>.


Supervised machine learning has an increasingly important role in biological
studies. However, the sheer complexity of classification pipelines poses a significant
barrier to the expert biologist unfamiliar with machine learning. Moreover,
many biologists lack the time or technical skills necessary to establish their own
pipelines. This package introduces a framework for the rapid implementation of
high-throughput supervised machine learning built with the biologist user in mind.
Written by biologists, for biologists, this package provides a user-friendly interface
that empowers investigators to execute state-of-the-art binary and multi-class
classification, including deep learning, with minimal programming
experience necessary.

Thomas Quinn

exprso

Rapid Implementation of Machine Learning Algorithms for Genomic
Data

validationSet function

<ul>
<li> <code>testSet</code>: Identical to the <code>validationSet</code> function.
</li>
</ul>

validationSet: Extract Validation Set

Description

Usage

Arguments

Value

Functions