BayesOpt
bayesopt::GaussianProcessNormal Member List

This is the complete list of members for bayesopt::GaussianProcessNormal, including all inherited members.

computeCholeskyCorrelation()bayesopt::KernelRegressorprotected
computeCorrMatrix(matrixd &corrMatrix)bayesopt::KernelRegressorinlineprotected
computeCorrMatrix()bayesopt::KernelRegressorinlineprotected
computeCrossCorrelation(const vectord &query) (defined in bayesopt::KernelRegressor)bayesopt::KernelRegressorinlineprotected
computeDerivativeCorrMatrix(int dth_index)bayesopt::KernelRegressorprotected
computeSelfCorrelation(const vectord &query) (defined in bayesopt::KernelRegressor)bayesopt::KernelRegressorinlineprotected
ConditionalBayesProcess(size_t dim, Parameters parameters, const Dataset &data, MeanModel &mean, randEngine &eng) (defined in bayesopt::ConditionalBayesProcess)bayesopt::ConditionalBayesProcess
create(size_t dim, Parameters parameters, const Dataset &data, MeanModel &mean, randEngine &eng)bayesopt::NonParametricProcessstatic
d_bayesopt::GaussianProcessNormalprivate
dim_ (defined in bayesopt::NonParametricProcess)bayesopt::NonParametricProcessprotected
evaluate(const vectord &x)bayesopt::ConditionalBayesProcessinlinevirtual
evaluateKernelParams()bayesopt::ConditionalBayesProcess
fitSurrogateModel()bayesopt::KernelRegressorinlinevirtual
GaussianProcessNormal(size_t dim, Parameters params, const Dataset &data, MeanModel &mean, randEngine &eng) (defined in bayesopt::GaussianProcessNormal)bayesopt::GaussianProcessNormal
getData() (defined in bayesopt::NonParametricProcess)bayesopt::NonParametricProcessinline
getHyperParameters() (defined in bayesopt::KernelRegressor)bayesopt::KernelRegressorinlinevirtual
getSignalVariance() (defined in bayesopt::KernelRegressor)bayesopt::KernelRegressor
getValueAtMinimum() (defined in bayesopt::NonParametricProcess)bayesopt::NonParametricProcessinline
HierarchicalGaussianProcess(size_t dim, Parameters params, const Dataset &data, MeanModel &mean, randEngine &eng) (defined in bayesopt::HierarchicalGaussianProcess)bayesopt::HierarchicalGaussianProcess
KernelRegressor(size_t dim, Parameters parameters, const Dataset &data, MeanModel &mean, randEngine &eng) (defined in bayesopt::KernelRegressor)bayesopt::KernelRegressor
mD (defined in bayesopt::GaussianProcessNormal)bayesopt::GaussianProcessNormalprivate
mData (defined in bayesopt::NonParametricProcess)bayesopt::NonParametricProcessprotected
mInvVarW (defined in bayesopt::GaussianProcessNormal)bayesopt::GaussianProcessNormalprivate
mKernel (defined in bayesopt::KernelRegressor)bayesopt::KernelRegressorprotected
mKF (defined in bayesopt::GaussianProcessNormal)bayesopt::GaussianProcessNormalprivate
mLbayesopt::KernelRegressorprotected
mLearnAll (defined in bayesopt::KernelRegressor)bayesopt::KernelRegressorprotected
mLearnType (defined in bayesopt::KernelRegressor)bayesopt::KernelRegressorprotected
mMean (defined in bayesopt::NonParametricProcess)bayesopt::NonParametricProcessprotected
mScoreType (defined in bayesopt::KernelRegressor)bayesopt::KernelRegressorprotected
mSigmabayesopt::NonParametricProcessprotected
mVfbayesopt::GaussianProcessNormalprivate
mW0 (defined in bayesopt::GaussianProcessNormal)bayesopt::GaussianProcessNormalprivate
mWMapbayesopt::GaussianProcessNormalprivate
negativeLogLikelihood()bayesopt::GaussianProcessNormalprivatevirtual
negativeTotalLogLikelihood()bayesopt::HierarchicalGaussianProcessprotectedvirtual
nHyperParameters() (defined in bayesopt::KernelRegressor)bayesopt::KernelRegressorinlinevirtual
NonParametricProcess(size_t dim, Parameters parameters, const Dataset &data, MeanModel &mean, randEngine &eng) (defined in bayesopt::NonParametricProcess)bayesopt::NonParametricProcess
precomputePrediction()bayesopt::GaussianProcessNormalprivatevirtual
prediction(const vectord &query)bayesopt::GaussianProcessNormalvirtual
RBOptimizable() (defined in bayesopt::RBOptimizable)bayesopt::RBOptimizableinline
setHyperParameters(const vectord &theta) (defined in bayesopt::KernelRegressor)bayesopt::KernelRegressorinlinevirtual
updateSurrogateModel()bayesopt::KernelRegressorvirtual
~ConditionalBayesProcess() (defined in bayesopt::ConditionalBayesProcess)bayesopt::ConditionalBayesProcessvirtual
~GaussianProcessNormal() (defined in bayesopt::GaussianProcessNormal)bayesopt::GaussianProcessNormalvirtual
~HierarchicalGaussianProcess() (defined in bayesopt::HierarchicalGaussianProcess)bayesopt::HierarchicalGaussianProcessinlinevirtual
~KernelRegressor() (defined in bayesopt::KernelRegressor)bayesopt::KernelRegressorvirtual
~NonParametricProcess() (defined in bayesopt::NonParametricProcess)bayesopt::NonParametricProcessvirtual
~RBOptimizable() (defined in bayesopt::RBOptimizable)bayesopt::RBOptimizableinlinevirtual