makeModelMultiplexerParamSet: Creates a parameter set for model multiplexer tuning.

Description Usage Arguments Value See Also Examples

View source: R/ModelMultiplexerParamSet.R


Handy way to create the param set with less typing.

The following is done automatically:





The muliplexer learner.


[ParamSet | Param]
(a) First option: Named param sets. Names must correspond to base learners. You only need to enter the parameters you want to tune without reference to the selected.learner field in any way.
(b) Second option. Just the params you would enter in the param sets. Even shorter to create. Only works when it can be uniquely identified to which learner each of your passed parameters belongs.


Check that for each param in ... one param in found in the base learners. Default is TRUE



See Also

Other multiplexer: makeModelMultiplexer

Other tune: TuneControl, getNestedTuneResultsOptPathDf, getNestedTuneResultsX, getTuneResult, makeModelMultiplexer, makeTuneControlCMAES, makeTuneControlDesign, makeTuneControlGenSA, makeTuneControlGrid, makeTuneControlIrace, makeTuneControlMBO, makeTuneControlRandom, makeTuneWrapper, tuneParams, tuneThreshold


# See makeModelMultiplexer

mlr documentation built on May 29, 2017, 6:01 p.m.