powered by
predict.type
setThreshold
makeLearner(cl, id = cl, predict.type = "response", fix.factors = FALSE, ..., par.vals = list(), config = list())
Learner
resample
predict.WrappedModel
makeLearner("classif.rpart") makeLearner("classif.lda", predict.type = "prob") lrn = makeLearner("classif.lda", method = "t", nu = 10) print(lrn$par.vals)
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