- _ -

• __init__() : bayesoptmodule.BayesOptCategorical , bayesoptmodule.BayesOptContinuous , bayesoptmodule.BayesOptDiscrete

- a -

• addNewPointToCholesky() : bayesopt::KernelRegressor

- b -

• BayesOptBase() : bayesopt::BayesOptBase
• BOptState() : bayesopt::BOptState

- c -

• checkReachability() : bayesopt::BayesOptBase , BraninNormalized , ExampleCamelback , ExampleDisc , ExampleHartmann6 , ExampleOneD , ExampleQuadratic , SystemCallsBranin , XMLCallsBranin
• computeCholeskyCorrelation() : bayesopt::KernelRegressor
• computeCorrMatrix() : bayesopt::KernelRegressor
• computeDerivativeCorrMatrix() : bayesopt::KernelRegressor
• ContinuousModel() : bayesopt::ContinuousModel
• create() : bayesopt::CriteriaFactory , bayesopt::KernelFactory , bayesopt::MeanFactory , bayesopt::NonParametricProcess

- d -

• DiscreteModel() : bayesopt::DiscreteModel

- e -

• EmpiricalBayes() : bayesopt::EmpiricalBayes
• evaluate() : bayesopt::ConditionalBayesProcess
• evaluate_nlopt() : bayesopt::NLOPT_Optimization
• evaluate_nlopt_grad() : bayesopt::NLOPT_Optimization
• evaluateKernelParams() : bayesopt::ConditionalBayesProcess
• evaluateSample() : bayesopt::BayesOptBase , bayesoptmodule.BayesOptCategorical , bayesoptmodule.BayesOptContinuous , bayesoptmodule.BayesOptDiscrete , BraninNormalized , CContinuousModel , CDiscreteModel , ExampleCamelback , ExampleDisc , ExampleHartmann6 , ExampleOneD , ExampleQuadratic , SystemCallsBranin , XMLCallsBranin
• evaluateSampleInternal() : bayesopt::BayesOptBase

- f -

• findOptimal() : bayesopt::BayesOptBase , bayesopt::ContinuousModel , bayesopt::DiscreteModel
• fitSurrogateModel() : bayesopt::KernelRegressor , bayesopt::NonParametricProcess

- g -

• generateInitialPoints() : bayesopt::BayesOptBase , bayesopt::ContinuousModel , bayesopt::DiscreteModel
• getFinalResult() : bayesopt::BayesOptBase
• getPointAtMinimum() : bayesopt::BayesOptBase

- i -

• initializeOptimization() : bayesopt::BayesOptBase

- l -

• loadFromFile() : bayesopt::BOptState
• localTrialAround() : bayesopt::NLOPT_Optimization
• lowerConfidenceBound() : bayesopt::GaussianDistribution , bayesopt::ProbabilityDistribution , bayesopt::StudentTDistribution

- m -

• MCMCModel() : bayesopt::MCMCModel
• MCMCSampler() : bayesopt::MCMCSampler

- n -

• negativeCrossValidation() : bayesopt::ConditionalBayesProcess
• negativeExpectedImprovement() : bayesopt::GaussianDistribution , bayesopt::ProbabilityDistribution , bayesopt::StudentTDistribution
• negativeLogLikelihood() : bayesopt::ConditionalBayesProcess , bayesopt::GaussianProcess , bayesopt::GaussianProcessML , bayesopt::GaussianProcessNormal , bayesopt::StudentTProcessJeffreys , bayesopt::StudentTProcessNIG
• negativeProbabilityOfImprovement() : bayesopt::GaussianDistribution , bayesopt::ProbabilityDistribution , bayesopt::StudentTDistribution
• negativeTotalLogLikelihood() : bayesopt::ConditionalBayesProcess , bayesopt::GaussianProcess , bayesopt::HierarchicalGaussianProcess
• nextPoint() : bayesopt::BayesOptBase

- o -

• optimize() : bayesopt::BayesOptBase , bayesoptmodule.BayesOptCategorical , bayesoptmodule.BayesOptContinuous , bayesoptmodule.BayesOptDiscrete

- p -

• pdf() : bayesopt::GaussianDistribution , bayesopt::ProbabilityDistribution , bayesopt::StudentTDistribution
• plotStepData() : bayesopt::BayesOptBase
• PosteriorFixed() : bayesopt::PosteriorFixed
• PosteriorModel() : bayesopt::PosteriorModel
• precomputePrediction() : bayesopt::GaussianProcess , bayesopt::GaussianProcessML , bayesopt::GaussianProcessNormal , bayesopt::KernelRegressor , bayesopt::StudentTProcessJeffreys , bayesopt::StudentTProcessNIG
• prediction() : bayesopt::ConditionalBayesProcess , bayesopt::GaussianProcess , bayesopt::GaussianProcessML , bayesopt::GaussianProcessNormal , bayesopt::NonParametricProcess , bayesopt::StudentTProcessJeffreys , bayesopt::StudentTProcessNIG

- r -

• remapPoint() : bayesopt::BayesOptBase , bayesopt::ContinuousModel , bayesopt::DiscreteModel
• restoreOptimization() : bayesopt::BayesOptBase
• run() : bayesopt::MCMCSampler , bayesopt::NLOPT_Optimization

- s -

• sample_query() : bayesopt::GaussianDistribution , bayesopt::ProbabilityDistribution , bayesopt::StudentTDistribution
• samplePoint() : bayesopt::BayesOptBase , bayesopt::ContinuousModel , bayesopt::DiscreteModel
• saveInitialSamples() : bayesopt::BayesOptBase
• saveOptimization() : bayesopt::BayesOptBase
• saveToFile() : bayesopt::BOptState
• setAlgorithm() : bayesopt::MCMCSampler , bayesopt::NLOPT_Optimization
• setBoundingBox() : bayesopt::ContinuousModel
• setDof() : bayesopt::StudentTDistribution
• setKernel() : bayesopt::KernelModel
• setKernelPrior() : bayesopt::KernelModel
• setLimits() : bayesopt::NLOPT_Optimization
• setMaxEvals() : bayesopt::NLOPT_Optimization
• setMean() : bayesopt::MeanModel
• setMeanAndStd() : bayesopt::GaussianDistribution , bayesopt::StudentTDistribution
• setNBurnOut() : bayesopt::MCMCSampler
• setNParticles() : bayesopt::MCMCSampler
• stepOptimization() : bayesopt::BayesOptBase

- u -

• updateSurrogateModel() : bayesopt::KernelRegressor , bayesopt::NonParametricProcess

- ~ -

• ~BayesOptBase() : bayesopt::BayesOptBase
• ~ContinuousModel() : bayesopt::ContinuousModel
• ~DiscreteModel() : bayesopt::DiscreteModel
• ~EmpiricalBayes() : bayesopt::EmpiricalBayes
• ~PosteriorFixed() : bayesopt::PosteriorFixed
• ~PosteriorModel() : bayesopt::PosteriorModel