defaultSC: Default settings for the spotConfig part of TDMR.
In TDMR: Tuned Data Mining in R

Description Usage Details Value Author(s) See Also

Sets suitable defaults for the spotConfig part of TDMR.

1	defaultSC()

With the call setParams(mySC,defaultSC()) it is possible to extend a partial list mySC to a list containing all sC-elements (the missing ones are taken from defaultSC()). If mySC has an element not present in defaultSC(), this element is not taken and a warning is issued.
With setParams(mySC,defaultSC(),keepNotMatching=TRUE) also elements of mySC not present in defaultSC() are taken (no warnings).

a list with the following elements (the values in parantheses [] are the defaults):

`alg.roi`	["NEEDS_TO_BE_SET"] a data frame with columns `lower`, `upper`, `type`, `row.names`, each a vector with as many entries as there are parameter to be tuned
`opts`	["NEEDS_TO_BE_SET"]
`sCName`	["NEEDS_TO_BE_SET.conf"] a string ending on ".conf", the configuration name
`OCBA`	[FALSE] see `spotControl`
`plot`	[FALSE] TRUE: make a line plot showing progress
`seedSPOT`	[1] see `spotControl`
`funEvals`	[50] the budget, max number of algo evaluations
`design`	[designLHD] function that creates initial design, see `spotControl`
`designControl.size`	[10] number of initial design points (former init.design.size)
`designControl.replicates`	[2] number of initial repeats (former init.design.repeats)
`replicates`	[2] number of repeats for the same model design point
`noise`	[TRUE] whether the object function has noise or not (Note: TRUE is required if `replicates>1` (!))
`seq.merge.func`	[mean] how to merge Y over replicates: mean or min
`model`	[buildKriging] function that builds the surrogate model, see `spotControl`
`optimizer`	[optimLHD] function that optimizes on surrrogate, see `spotControl`
`optimizerControl.funEvals`	[100] optimizer budget (former seq.design.size)
`optimizerControl.retries`	[2] optimLHD retries (former seq.design.retries)