View source: R/TuneControlGrid.R
makeTuneControlGrid | R Documentation |
A basic grid search can handle all kinds of parameter types.
You can either use their correct param type and resolution
,
or discretize them yourself by always using ParamHelpers::makeDiscreteParam
in the par.set
passed to tuneParams.
makeTuneControlGrid( same.resampling.instance = TRUE, impute.val = NULL, resolution = 10L, tune.threshold = FALSE, tune.threshold.args = list(), log.fun = "default", final.dw.perc = NULL, budget = NULL )
same.resampling.instance |
( |
impute.val |
(numeric) |
resolution |
(integer) |
tune.threshold |
( |
tune.threshold.args |
(list) |
log.fun |
( |
final.dw.perc |
( |
budget |
( |
(TuneControlGrid)
Other tune:
TuneControl
,
getNestedTuneResultsOptPathDf()
,
getNestedTuneResultsX()
,
getResamplingIndices()
,
getTuneResult()
,
makeModelMultiplexerParamSet()
,
makeModelMultiplexer()
,
makeTuneControlCMAES()
,
makeTuneControlDesign()
,
makeTuneControlGenSA()
,
makeTuneControlIrace()
,
makeTuneControlMBO()
,
makeTuneControlRandom()
,
makeTuneWrapper()
,
tuneParams()
,
tuneThreshold()
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