fsInclude

Specifies the <code>ExprsArray</code> object to undergo feature selection.

object

A numeric scalar or character vector. A numeric scalar indicates
the number of top features that should undergo feature selection. A character vector
indicates specifically which features by name should undergo feature selection.
Set <code>top = 0</code> to include all features. A numeric vector can also be used
to indicate specific features by location, similar to a character vector.

A character vector. The names of features to rank above all others.
This preserves the feature order otherwise. Argument for <code>fsInclude</code> only.

include

<code>fsInclude</code> selects features passed to the <code>include</code> argument.

Supervised machine learning has an increasingly important role in data
analysis. This package introduces a framework for rapidly implementing 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, including deep learning, with minimal programming
experience necessary.

fsInclude: Select Features by Explicit Reference

Description

Usage

Arguments

Value