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. [data.frame] Named x values. One row per set of x values. [numeric|list] Outcome of the optimization. For multiple results use a list. For a result of a multi-objective function use a numeric vector.

## Value

[OptState]