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

- m -

• mAlphaF : bayesopt::GaussianProcessML , bayesopt::StudentTProcessJeffreys
• mAlphaV : bayesopt::GaussianProcess
• mBB : bayesopt::ContinuousModel
• MCMCModel() : bayesopt::MCMCModel
• MCMCSampler() : bayesopt::MCMCSampler
• 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