fsMrmre: Select Features by mRMR

In tpq/exprso: Rapid Deployment of Machine Learning Algorithms

Description

fsMrmre selects features using the mRMR.classic function from the mRMRe package.

Usage

fsMrmre(object, top = 0, ...)

Arguments

object	An ExprsArray object to undergo feature selection.
top	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 top = 0 to include all features. A numeric vector can also be used to indicate specific features by location, similar to a character vector.
...	Arguments passed to the detailed function.

Details

Note that fsMrmre crashes when supplied a very large feature_count owing to its mRMRe implementation.

Value

Returns an ExprsArray object.

tpq/exprso documentation built on July 27, 2019, 8:44 a.m.