mbo | R Documentation |
See mbo_parallel for all parallelization options.
mbo( fun, design = NULL, learner = NULL, control = NULL, show.info = getOption("mlrMBO.show.info", TRUE), more.args = list() )
fun |
[ |
design |
[ |
learner |
[ |
control |
[ |
show.info |
[ |
more.args |
[list] |
[MBOSingleObjResult
| MBOMultiObjResult
]
# simple 2d objective function obj.fun = makeSingleObjectiveFunction( fn = function(x) x[1]^2 + sin(x[2]), par.set = makeNumericParamSet(id = "x", lower = -1, upper = 1, len = 2) ) # create base control object ctrl = makeMBOControl() # do three MBO iterations ctrl = setMBOControlTermination(ctrl, iters = 3L) # use 500 points in the focussearch (should be sufficient for 2d) ctrl = setMBOControlInfill(ctrl, opt.focussearch.points = 500) # create initial design des = generateDesign(n = 5L, getParamSet(obj.fun), fun = lhs::maximinLHS) # start mbo res = mbo(obj.fun, design = des, control = ctrl) print(res) ## Not run: plot(res) ## End(Not run)
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