Nothing
plot.OptState()
now supports multiple categorical variables.crit.aei
works with wrapped learners.mbo()
can be called without control object.plot(opt.state)
now also works for Param Sets with transformations.progress
argument. Termination criterions now can supply a progress
return value.save.on.disk
now can take arbitrary numeric vectors to specify iterations, when to save on disk.makeMBOControl()
has on.surrogate.error
argument which enables random proposals if the surrogate model fails.initSMBO()
, updateSMBO()
and finalizeSMBO()
it is now possible to do a human-in-the-loop MBO.final.opt.state
.OptState
objects.citation("mlrMBO")
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