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.