mlr (version 2.3)

makeLearner: Create learner object.

Description

For a classification learner the predict.type can be set to prob to predict probabilities and the maximum value selects the label. The threshold used to assign the label can later be changed using the setThreshold function.

Usage

makeLearner(cl, id = cl, predict.type = "response",
  predict.threshold = NULL, fix.factors = FALSE, ..., par.vals = list(),
  config = list())

Value

[Learner].

See Also

[resample], [predict.WrappedModel]

Other learner: LearnerProperties, addProperties, hasProperties, removeProperties, setProperties; getHyperPars; getParamSet; removeHyperPars; setHyperPars; setId; setPredictThreshold; setPredictType; showHyperPars

Examples

makeLearner("classif.rpart")
makeLearner("classif.lda", predict.type = "prob")
lrn = makeLearner("classif.lda", method = "t", nu = 10)
print(lrn$par.vals)