NEWS.md
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.