Sampled
constructor(numCandidates: Int = BayesianOptimizationSolver.defaultNumCandidates, numLocalRestarts: Int = BayesianOptimizationSolver.defaultRestarts, localFraction: Double = 0.1)(source)
Parameters
num
the number of global Latin-hypercube candidates. Must be >= 1. Defaults to BayesianOptimizationSolver.defaultNumCandidates.
num
the number of local candidates sampled around the current best. Must be
= 0. Defaults to BayesianOptimizationSolver.defaultRestarts.
local
the standard deviation of local perturbations, as a fraction of each input range. Must be > 0. Defaults to 0.1.