MLInterfaces
Uniform interfaces to R machine learning procedures for data in Bioconductor containers

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fsHistory: extract history of feature selection for a cross-validated...

fsHistory: extract history of feature selection for a cross-validated...
In MLInterfaces: Uniform interfaces to R machine learning procedures for data in Bioconductor containers

Description Usage Arguments Details Value Author(s) Examples

Description

extract history of feature selection for a cross-validated machine learner

Usage

1
fsHistory(x)

Arguments

x

instance of classifierOutput

Details

returns a list of names of selected features

Value

a list; the names of variables are made 'syntactic'

Author(s)

Vince Carey <stvjc@channing.harvard.edu>

Examples

1
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3
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6
data(iris)
iris2 = iris[ iris$Species %in% levels(iris$Species)[1:2], ]
iris2$Species = factor(iris2$Species) # drop unused levels
x1 = MLearn(Species~., iris2, ldaI, xvalSpec("LOG", 3, 
   balKfold.xvspec(3), fs.absT(3)))
fsHistory(x1)

MLInterfaces documentation built on Nov. 8, 2020, 8:14 p.m.

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