mlr (version 2.3)

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, imputeConstant, imputeHist, imputeLearner, imputeMax, imputeMean, imputeMedian, imputeMin, imputeMode, imputeNormal, imputeUniform; impute; makeImputeMethod; reimpute

Other wrapper: CostSensClassifModel, CostSensClassifWrapper, makeCostSensClassifWrapper; CostSensRegrModel, CostSensRegrWrapper, makeCostSensRegrWrapper; makeBaggingWrapper; makeDownsampleWrapper; makeFeatSelWrapper; makeFilterWrapper; makeMulticlassWrapper; makeOverBaggingWrapper; makeOversampleWrapper, makeUndersampleWrapper; makePreprocWrapperCaret; makePreprocWrapper; makeSMOTEWrapper; makeTuneWrapper; makeWeightedClassesWrapper