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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")
.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.