mlr (version 2.17.0)

makeLearners: Create multiple learners at once.

Description

Small helper function that can save some typing when creating mutiple learner objects. Calls makeLearner multiple times internally.

Usage

makeLearners(cls, ids = NULL, type = NULL, ...)

Arguments

cls

(character) Classes of learners.

ids

(character) Id strings. Must be unique. Default is cls.

type

(character(1)) Shortcut to prepend type string to cls so one can set cls = "rpart". Default is NULL, i.e., this is not used.

...

(any) Optional named (hyper)parameters. If you want to set specific hyperparameters for a learner during model creation, these should go here. You can get a list of available hyperparameters using getParamSet(<learner>). Alternatively hyperparameters can be given using the par.vals argument but ... should be preferred!

Value

(named list of Learner). Named by ids.

See Also

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

Examples

# NOT RUN {
makeLearners(c("rpart", "lda"), type = "classif", predict.type = "prob")
# }