R: Create multiple learners at once.

makeLearners {mlr} | R Documentation

## 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

    makeLearners(c("rpart", "lda"), type = "classif", predict.type = "prob")

[Package mlr version 2.17.1 Index]