Creates a parameter set for model multiplexer tuning.
Handy way to create the param set with less typing.
The following is done automatically:
The selected.learner
param is created
Parameter names are prefixed.
The requires
field of each param is set.
This makes all parameters subordinate to selected.learner
makeModelMultiplexerParamSet(multiplexer, ..., .check = TRUE)
multiplexer |
(ModelMultiplexer) |
... |
(ParamHelpers::ParamSet | ParamHelpers::Param) |
.check |
(logical) |
Other multiplexer:
makeModelMultiplexer()
Other tune:
TuneControl
,
getNestedTuneResultsOptPathDf()
,
getNestedTuneResultsX()
,
getResamplingIndices()
,
getTuneResult()
,
makeModelMultiplexer()
,
makeTuneControlCMAES()
,
makeTuneControlDesign()
,
makeTuneControlGenSA()
,
makeTuneControlGrid()
,
makeTuneControlIrace()
,
makeTuneControlMBO()
,
makeTuneControlRandom()
,
makeTuneWrapper()
,
tuneParams()
,
tuneThreshold()
# See makeModelMultiplexer
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