makeDummyFeaturesWrapper: Fuse learner with dummy feature creator.

Description Usage Arguments Value See Also

View source: R/DummyFeaturesWrapper.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

1
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


berndbischl/mlr documentation built on Nov. 21, 2017, 12:51 a.m.