mlr (version 2.3)

makeResampleInstance: Instantiates a resampling strategy object.

Description

This class encapsulates training and test sets generated from the data set for a number of iterations. It mainly stores a set of integer vectors indicating the training and test examples for each iteration.

Usage

makeResampleInstance(desc, task, size, ...)

Value

[ResampleInstance].

Details

Object slots: [object Object],[object Object],[object Object],[object Object],[object Object]

See Also

Other resample: ResampleDesc, makeResampleDesc; ResamplePrediction; ResampleResult; bootstrapB632, bootstrapB632plus, bootstrapOOB, crossval, holdout, repcv, resample, subsample

Examples

rdesc = makeResampleDesc("Bootstrap", iters = 10)
rin = makeResampleInstance(rdesc, task = iris.task)

rdesc = makeResampleDesc("CV", iters = 50)
rin = makeResampleInstance(rdesc, size = nrow(iris))

rin = makeResampleInstance("CV", iters = 10, task = iris.task)