Here is a list of all documented class members with links to the class documentation for each member:

- n -

• n_coef : mean_parameters
• n_crit_params : bopt_params
• n_dim : bayesoptmodule.BayesOptContinuous
• n_hp : kernel_parameters
• n_init_samples : bayesopt::Parameters , bopt_params
• n_inner_iterations : bayesopt::Parameters , bopt_params
• n_iter_relearn : bayesopt::Parameters , bopt_params
• n_iterations : bayesopt::Parameters , bopt_params
• name : bayesopt::KernelParameters , bayesopt::MeanParameters , kernel_parameters , mean_parameters
• 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
• noise : bayesopt::Parameters , bopt_params