|
BayesOpt
|
Set of criterium functions to select the next point during optimization/exploration. More...
Classes | |
| class | bayesopt::GreedyAOptimality |
| Greedy A-Optimality criterion. More... | |
| class | bayesopt::CombinedCriteria |
| Abstract class for combined criteria functions. More... | |
| class | bayesopt::InputDistance |
| Distance in input space. More... | |
| class | bayesopt::ExpectedImprovement |
| Expected improvement criterion by Mockus [Mockus78]. More... | |
| class | bayesopt::BiasedExpectedImprovement |
| Expected improvement criterion modification by Lizotte. More... | |
| class | bayesopt::AnnealedExpectedImprovement |
| Expected improvement criterion using Schonlau annealing. [Schonlau98]. More... | |
| class | bayesopt::ExpectedReturn |
| Expected return criterion. More... | |
| class | bayesopt::GP_Hedge |
| GP_Hedge model as describen in Hoffman et al. More... | |
| class | bayesopt::GP_Hedge_Random |
| Modification of the GP_Hedge algorithm where the bandit gains are random outcomes (like Thompson sampling). More... | |
| class | bayesopt::LowerConfidenceBound |
| Lower (upper) confidence bound criterion by [Cox and John, 1992]. More... | |
| class | bayesopt::AnnealedLowerConfindenceBound |
| Lower (upper) confidence bound using Srinivas annealing [Srinivas10]. More... | |
| class | bayesopt::MutualInformation |
| Mutual Information bound criterion b [Contal et al., 2014]. More... | |
| class | bayesopt::ProbabilityOfImprovement |
| Probability of improvement criterion based on (Kushner). More... | |
| class | bayesopt::ProdCriteria |
| Product of criterion functions. More... | |
| class | bayesopt::SumCriteria |
| Wrapper class for linear combination of criterion functions. More... | |
| class | bayesopt::ThompsonSampling |
| Thompson sampling. Picks a random sample of the surrogate model. More... | |
| class | bayesopt::OptimisticSampling |
| Optimistic sampling. More... | |
| class | bayesopt::Criteria |
| Abstract interface for criteria functors. More... | |
| class | bayesopt::CriteriaFactory |
| Factory model for criterion functions This factory is based on the libgp library by Manuel Blum https://bitbucket.org/mblum/libgp which follows the squeme of GPML by Rasmussen and Nickisch http://www.gaussianprocess.org/gpml/code/matlab/doc/. More... | |
Set of criterium functions to select the next point during optimization/exploration.