BayesOpt
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This is the complete list of members for bayesopt::MCMCModel, including all inherited members.
addSample(const vectord &x, double y) (defined in bayesopt::PosteriorModel) | bayesopt::PosteriorModel | |
create(size_t dim, Parameters params, randEngine &eng) (defined in bayesopt::PosteriorModel) | bayesopt::PosteriorModel | static |
criteriaRequiresComparison() (defined in bayesopt::MCMCModel) | bayesopt::MCMCModel | inlinevirtual |
CritVect typedef (defined in bayesopt::MCMCModel) | bayesopt::MCMCModel | |
evaluateCriteria(const vectord &query) (defined in bayesopt::MCMCModel) | bayesopt::MCMCModel | inlinevirtual |
fitSurrogateModel() (defined in bayesopt::MCMCModel) | bayesopt::MCMCModel | inlinevirtual |
getBestCriteria(vectord &best) (defined in bayesopt::MCMCModel) | bayesopt::MCMCModel | inlinevirtual |
getData() (defined in bayesopt::PosteriorModel) | bayesopt::PosteriorModel | inline |
getPointAtMinimum() (defined in bayesopt::PosteriorModel) | bayesopt::PosteriorModel | inline |
getPrediction(const vectord &query) (defined in bayesopt::MCMCModel) | bayesopt::MCMCModel | inlinevirtual |
getValueAtMinimum() (defined in bayesopt::PosteriorModel) | bayesopt::PosteriorModel | inline |
GPVect typedef (defined in bayesopt::MCMCModel) | bayesopt::MCMCModel | |
kSampler (defined in bayesopt::MCMCModel) | bayesopt::MCMCModel | private |
MCMCModel(size_t dim, Parameters params, randEngine &eng) | bayesopt::MCMCModel | |
MCMCModel() (defined in bayesopt::MCMCModel) | bayesopt::MCMCModel | private |
MCMCModel(MCMCModel ©) (defined in bayesopt::MCMCModel) | bayesopt::MCMCModel | private |
mCrit | bayesopt::MCMCModel | private |
mData | bayesopt::PosteriorModel | protected |
mDims | bayesopt::PosteriorModel | protected |
mGP | bayesopt::MCMCModel | private |
mMean (defined in bayesopt::PosteriorModel) | bayesopt::PosteriorModel | protected |
mParameters | bayesopt::PosteriorModel | protected |
nParticles (defined in bayesopt::MCMCModel) | bayesopt::MCMCModel | private |
plotDataset(TLogLevel level) (defined in bayesopt::PosteriorModel) | bayesopt::PosteriorModel | inline |
PosteriorModel(size_t dim, Parameters params, randEngine &eng) | bayesopt::PosteriorModel | |
setCriteria(randEngine &eng) (defined in bayesopt::MCMCModel) | bayesopt::MCMCModel | private |
setFirstCriterium() (defined in bayesopt::MCMCModel) | bayesopt::MCMCModel | inlinevirtual |
setNextCriterium(const vectord &prevResult) (defined in bayesopt::MCMCModel) | bayesopt::MCMCModel | inlinevirtual |
setSample(const vectord &x, double y) (defined in bayesopt::PosteriorModel) | bayesopt::PosteriorModel | |
setSamples(const matrixd &x, const vectord &y) (defined in bayesopt::PosteriorModel) | bayesopt::PosteriorModel | |
setSamples(const matrixd &x) (defined in bayesopt::PosteriorModel) | bayesopt::PosteriorModel | |
setSamples(const vectord &y) (defined in bayesopt::PosteriorModel) | bayesopt::PosteriorModel | |
setSurrogateModel(randEngine &eng) (defined in bayesopt::MCMCModel) | bayesopt::MCMCModel | private |
updateCriteria(const vectord &query) (defined in bayesopt::MCMCModel) | bayesopt::MCMCModel | inlinevirtual |
updateHyperParameters() (defined in bayesopt::MCMCModel) | bayesopt::MCMCModel | virtual |
updateSurrogateModel() (defined in bayesopt::MCMCModel) | bayesopt::MCMCModel | inlinevirtual |
~MCMCModel() (defined in bayesopt::MCMCModel) | bayesopt::MCMCModel | virtual |
~PosteriorModel() | bayesopt::PosteriorModel | virtual |