Fuse learner with dummy feature creator.

Fuses a base learner with the dummy feature creator (see createDummyFeatures). Returns a learner which can be used like any other learner.

makeDummyFeaturesWrapper(learner, method = "1-of-n", cols = NULL)

Arguments

learner	(Learner | character(1)) The learner. If you pass a string the learner will be created via makeLearner.
method	(character(1)) Available are: "1-of-n": For n factor levels there will be n dummy variables. "reference": There will be n-1 dummy variables leaving out the first factor level of each variable. Default is “1-of-n”.
cols	(character) Columns to create dummy features for. Default is to use all columns.

Value

Learner.

See also

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