R: Fuse learner with dummy feature creator.

makeDummyFeaturesWrapper {mlr} | R Documentation

## 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()`

[Package mlr version 2.19.0 Index]