splitBy

An <code>ExprsArray</code> object to split.

object

A character string. Specifies the column used to split the data.

colBy

A character vector. Specifies which annotations in <code>colBy</code>
to include in the training set.

include

<code>splitBy</code> builds a training set and validation set by placing
 all samples that have the <code>include</code> annotation in the specified
 <code>colBy</code> column in the training set. The remaining samples get
 placed in the validation set. This <code>split</code> is not random.

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.

splitBy: Split by User-defined Group

Description

Usage

Arguments

Value