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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 |