mlr (version 2.7)

makeImputeWrapper: Fuse learner with an imputation method.

Description

Fuses a base learner with an imputation method. Creates a learner object, which can be used like any other learner object. Internally uses impute before training the learner and reimpute before predicting.

Usage

makeImputeWrapper(learner, classes = list(), cols = list(),
  dummy.cols = character(0L), dummy.type = "factor",
  impute.new.levels = TRUE, recode.factor.levels = TRUE)

Value

[Learner].

See Also

Other impute: imputations, impute, makeImputeMethod, reimpute

Other wrapper: makeBaggingWrapper, makeCostSensClassifWrapper, makeCostSensRegrWrapper, makeDownsampleWrapper, makeFeatSelWrapper, makeFilterWrapper, makeMulticlassWrapper, makeMultilabelBinaryRelevanceWrapper, makeOverBaggingWrapper, makePreprocWrapperCaret, makePreprocWrapper, makeSMOTEWrapper, makeTuneWrapper, makeUndersampleWrapper, makeWeightedClassesWrapper