Set the probability threshold the learner should use.

Source: R/setPredictThreshold.R

See predict.threshold in makeLearner and setThreshold.

For complex wrappers only the top-level predict.type is currently set.

setPredictThreshold(learner, predict.threshold)

Arguments

learner	(Learner | character(1)) The learner. If you pass a string the learner will be created via makeLearner.
predict.threshold	(numeric) Threshold to produce class labels. Has to be a named vector, where names correspond to class labels. Only for binary classification it can be a single numerical threshold for the positive class. See setThreshold for details on how it is applied. Default is NULL which means 0.5 / an equal threshold for each class.

Value

Learner.

See also

Other predict: asROCRPrediction, getPredictionProbabilities, getPredictionResponse, getPredictionTaskDesc, predict.WrappedModel, setPredictType

Other learner: LearnerProperties, getClassWeightParam, getHyperPars, getLearnerId, getLearnerNote, getLearnerPackages, getLearnerParVals, getLearnerParamSet, getLearnerPredictType, getLearnerShortName, getLearnerType, getParamSet, helpLearnerParam, helpLearner, makeLearners, makeLearner, removeHyperPars, setHyperPars, setId, setLearnerId, setPredictType