Updates SMBO with the new observations

After a function evaluation you want to update the OptState to get new proposals.

updateSMBO(opt.state, x, y)

Arguments

opt.state	[`OptState`] The optimization state. Generated by `initSMBO`, this function or an `mbo` run.
x	[`data.frame`] Named x values. One row per set of x values.
y	[`numeric\|list`] Outcome of the optimization. For multiple results use a list. For a result of a multi-objective function use a numeric vector.