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mlr (version 1.1-18)

makeTuneControlCMAES: Create control structures for tuning.

Description

The following tuners are available: [object Object],[object Object],[object Object],[object Object],[object Object]

Usage

makeTuneControlCMAES(same.resampling.instance = TRUE,
    start, ...)
  makeTuneControlGrid(same.resampling.instance = TRUE)
  makeTuneControlIrace(n.instances = 100L,
    show.irace.output = FALSE, ...)
  makeTuneControlOptim(same.resampling.instance = TRUE,
    start, ...)
  makeTuneControlRandom(same.resampling.instance = TRUE,
    maxit = 100L)

Arguments

Value

[TuneControl]. The specific subclass is one of TuneControlGrid, TuneControlRandom, TuneControlOptim, TuneControlCMAES, TuneControlIrace.

Details

Dependent parameters can currently only be handled by random search and irace.

Some notes on irace: For resampling you have to pass a ResampleDesc, not a ResampleInstance. The resampling strategy is randomly instantiated n.instances times and these are the instances in the sense of irace (instances element of tunerConfig in irace). Also note that irace will always store its tuning results in a file on disk, see the package documentation for details on this and how to change the file path.