- a -

• alpha : bayesopt::Parameters , bopt_params

- b -

• beta : bayesopt::Parameters , bopt_params

- c -

• coef_mean : bayesopt::MeanParameters , mean_parameters
• coef_std : bayesopt::MeanParameters , mean_parameters
• crit_name : bayesopt::Parameters , bopt_params
• crit_params : bayesopt::Parameters , bopt_params

- d -

• d_ : bayesopt::GaussianProcess , bayesopt::GaussianProcessML , bayesopt::GaussianProcessNormal , bayesopt::StudentTProcessJeffreys , bayesopt::StudentTProcessNIG

- e -

• epsilon : bayesopt::Parameters , bopt_params

- f -

• force_jump : bayesopt::Parameters , bopt_params

- h -

• hp_mean : bayesopt::KernelParameters , kernel_parameters
• hp_std : bayesopt::KernelParameters , kernel_parameters

- i -

• init_method : bayesopt::Parameters , bopt_params

- k -

• kernel : bayesopt::Parameters , bopt_params

- l -

• l_all : bayesopt::Parameters , bopt_params
• l_type : bayesopt::Parameters , bopt_params
• lb : bayesoptmodule.BayesOptContinuous
• load_filename : bayesopt::Parameters , bopt_params
• load_save_flag : bayesopt::Parameters , bopt_params
• log_filename : bayesopt::Parameters , bopt_params

- m -

• mAlphaF : bayesopt::GaussianProcessML , bayesopt::StudentTProcessJeffreys
• mAlphaV : bayesopt::GaussianProcess
• mBB : bayesopt::ContinuousModel
• mCrit : bayesopt::EmpiricalBayes , bayesopt::MCMCModel , bayesopt::PosteriorFixed
• mCurrentIter : bayesopt::BayesOptBase
• mData : bayesopt::PosteriorModel
• mDims : bayesopt::BayesOptBase , bayesopt::PosteriorModel
• mean : bayesopt::Parameters , bopt_params
• mEngine : bayesopt::BayesOptBase
• mFeatM : bayesopt::MeanModel
• mGP : bayesopt::EmpiricalBayes , bayesopt::MCMCModel , bayesopt::PosteriorFixed
• mInputSet : bayesopt::DiscreteModel
• mKernel : bayesopt::KernelModel
• mL : bayesopt::KernelRegressor
• mLowerBound : bayesopt::utils::BoundingBox< V >
• mMean : bayesopt::MeanModel
• mMu : bayesopt::MeanModel
• mParameters : bayesopt::BayesOptBase , bayesopt::PosteriorModel
• mRangeBound : bayesopt::utils::BoundingBox< V >
• mRegularizer : bayesopt::KernelRegressor
• mS_Mu : bayesopt::MeanModel
• mSigma : bayesopt::NonParametricProcess
• mVf : bayesopt::GaussianProcessNormal , bayesopt::StudentTProcessNIG
• mWMap : bayesopt::GaussianProcessNormal , bayesopt::StudentTProcessNIG
• mWML : bayesopt::GaussianProcessML , bayesopt::StudentTProcessJeffreys
• mX : bayesopt::Dataset
• mY : bayesopt::Dataset

- 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
• noise : bayesopt::Parameters , bopt_params

- p -

• params : bayesoptmodule.BayesOptCategorical , bayesoptmodule.BayesOptContinuous , bayesoptmodule.BayesOptDiscrete
• priorKernel : bayesopt::KernelModel

- r -

• random_seed : bayesopt::Parameters , bopt_params

- s -

• save_filename : bayesopt::Parameters , bopt_params
• sc_type : bayesopt::Parameters , bopt_params
• sigma_s : bayesopt::Parameters , bopt_params
• surr_name : bayesopt::Parameters , bopt_params

- u -

• ub : bayesoptmodule.BayesOptContinuous

- v -

• verbose_level : bayesopt::Parameters , bopt_params

- x -

• x_set : bayesoptmodule.BayesOptDiscrete