View source: R/TuneControlDesign.R
makeTuneControlDesign | R Documentation |
Completely pre-specifiy a data.frame
of design points to be evaluated
during tuning. All kinds of parameter types can be handled.
makeTuneControlDesign(
same.resampling.instance = TRUE,
impute.val = NULL,
design = NULL,
tune.threshold = FALSE,
tune.threshold.args = list(),
log.fun = "default"
)
same.resampling.instance |
( |
impute.val |
(numeric) |
design |
(data.frame) |
tune.threshold |
( |
tune.threshold.args |
(list) |
log.fun |
( |
(TuneControlDesign)
Other tune:
TuneControl
,
getNestedTuneResultsOptPathDf()
,
getNestedTuneResultsX()
,
getResamplingIndices()
,
getTuneResult()
,
makeModelMultiplexer()
,
makeModelMultiplexerParamSet()
,
makeTuneControlCMAES()
,
makeTuneControlGenSA()
,
makeTuneControlGrid()
,
makeTuneControlIrace()
,
makeTuneControlMBO()
,
makeTuneControlRandom()
,
makeTuneWrapper()
,
tuneParams()
,
tuneThreshold()
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