R: Fuse learner with removal of constant features preprocessing.

makeRemoveConstantFeaturesWrapper {mlr} | R Documentation

## Fuse learner with removal of constant features preprocessing.

### Description

Fuses a base learner with the preprocessing implemented in removeConstantFeatures.

### Usage

    makeRemoveConstantFeaturesWrapper(learner, perc = 0,
      dont.rm = character(0L), na.ignore = FALSE,
      tol = .Machine$double.eps^0.5)

### Arguments

`learner` | (Learner | `character(1)`) The learner. If you pass a string the learner will be created via makeLearner.
`perc` | (`numeric(1)`) The percentage of a feature values in [0, 1) that must differ from the mode value. Default is 0, which means only constant features with exactly one observed level are removed.
`dont.rm` | (character) Names of the columns which must not be deleted. Default is no columns.
`na.ignore` | (`logical(1)`) Should NAs be ignored in the percentage calculation? (Or should they be treated as a single, extra level in the percentage calculation?) Note that if the feature has only missing values, it is always removed. Default is `FALSE`.
`tol` | (`numeric(1)`) Numerical tolerance to treat two numbers as equal. Variables stored as `double` will get rounded accordingly before computing the mode. Default is `sqrt(.Maschine$double.eps)`.

### Value

Learner.

### See Also

Other wrapper: `makeBaggingWrapper`, `makeClassificationViaRegressionWrapper`, `makeConstantClassWrapper`, `makeCostSensClassifWrapper`, `makeCostSensRegrWrapper`, `makeDownsampleWrapper`, `makeDummyFeaturesWrapper`, `makeExtractFDAFeatsWrapper`, `makeFeatSelWrapper`, `makeFilterWrapper`, `makeImputeWrapper`, `makeMulticlassWrapper`, `makeMultilabelBinaryRelevanceWrapper`, `makeMultilabelClassifierChainsWrapper`, `makeMultilabelDBRWrapper`, `makeMultilabelNestedStackingWrapper`, `makeMultilabelStackingWrapper`, `makeOverBaggingWrapper`, `makePreprocWrapperCaret`, `makePreprocWrapper`, `makeSMOTEWrapper`, `makeTuneWrapper`, `makeUndersampleWrapper`, `makeWeightedClassesWrapper`

[Package mlr version 2.12.1 Index]