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. |
Value
[OptState]