mlr (version 2.12.1)

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. Alternatively these can be given using the par.vals argument.

Value

[named list of [Learner]). Named by ids.

[named list of [Learner]: R:named

See Also

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

Examples

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

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