Fuse learner with simple downsampling (subsampling).
Source:R/DownsampleWrapper.R
makeDownsampleWrapper.Rd
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.
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 isFALSE
.
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()