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