makePreprocWrapper {mlr} | R Documentation |
Fuse learner with preprocessing.
Description
Fuses a base learner with a preprocessing method. Creates a learner object, which can be used like any other learner object, but which internally preprocesses the data as requested. If the train or predict function is called on data / a task, the preprocessing is always performed automatically.
Usage
makePreprocWrapper(
learner,
train,
predict,
par.set = makeParamSet(),
par.vals = list()
)
Arguments
learner |
(Learner | |
train |
( |
predict |
( |
par.set |
(ParamHelpers::ParamSet) |
par.vals |
(list) |
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()
,
makeRemoveConstantFeaturesWrapper()
,
makeSMOTEWrapper()
,
makeTuneWrapper()
,
makeUndersampleWrapper()
,
makeWeightedClassesWrapper()