Fuse learner with simple downsampling (subsampling).

Source: R/DownsampleWrapper.R

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.

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