mlr (version 2.15.0)

makeDummyFeaturesWrapper: Fuse learner with dummy feature creator.

Description

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

Usage

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