makeDummyFeaturesWrapper: Fuse learner with dummy feature creator.

In riebetob/mlr: Machine Learning in R

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

riebetob/mlr documentation built on May 20, 2019, 5:58 p.m.