R: Fuse learner with simple downsampling (subsampling).

makeDownsampleWrapper {mlr} | R Documentation

## Fuse learner with simple downsampling (subsampling).

### Description

Creates a learner object, which can be used like any other learner object. It will only be trained on a subset of the original data to save computational time.

### Usage

    makeDownsampleWrapper(learner, dw.perc = 1, dw.stratify = FALSE)

### Arguments

`learner` | (Learner | `character(1)`) The learner. If you pass a string the learner will be created via makeLearner.
`dw.perc` | (`numeric(1)`) See downsample. Default is 1.
`dw.stratify` | (`logical(1)`) See downsample. Default is `FALSE`.

### Value

Learner.

### See Also

Other downsample: `downsample`

Other wrapper: `makeBaggingWrapper`, `makeClassificationViaRegressionWrapper`, `makeConstantClassWrapper`, `makeCostSensClassifWrapper`, `makeCostSensRegrWrapper`, `makeDummyFeaturesWrapper`, `makeExtractFDAFeatsWrapper`, `makeFeatSelWrapper`, `makeFilterWrapper`, `makeImputeWrapper`, `makeMulticlassWrapper`, `makeMultilabelBinaryRelevanceWrapper`, `makeMultilabelClassifierChainsWrapper`, `makeMultilabelDBRWrapper`, `makeMultilabelNestedStackingWrapper`, `makeMultilabelStackingWrapper`, `makeOverBaggingWrapper`, `makePreprocWrapperCaret`, `makePreprocWrapper`, `makeRemoveConstantFeaturesWrapper`, `makeSMOTEWrapper`, `makeTuneWrapper`, `makeUndersampleWrapper`, `makeWeightedClassesWrapper`

[Package mlr version 2.16.0 Index]