BayesOpt
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This is the complete list of members for bayesopt::KernelModel, including all inherited members.
computeCorrMatrix(const vecOfvec &XX, matrixd &corrMatrix, double nugget) (defined in bayesopt::KernelModel) | bayesopt::KernelModel | |
computeCrossCorrelation(const vecOfvec &XX, const vectord &query) (defined in bayesopt::KernelModel) | bayesopt::KernelModel | inline |
computeCrossCorrelation(const vecOfvec &XX, const vectord &query, vectord &knx) (defined in bayesopt::KernelModel) | bayesopt::KernelModel | inline |
computeDerivativeCorrMatrix(const vecOfvec &XX, matrixd &corrMatrix, int dth_index) (defined in bayesopt::KernelModel) | bayesopt::KernelModel | |
computeSelfCorrelation(const vectord &query) (defined in bayesopt::KernelModel) | bayesopt::KernelModel | inline |
getHyperParameters() (defined in bayesopt::KernelModel) | bayesopt::KernelModel | inline |
getKernel() (defined in bayesopt::KernelModel) | bayesopt::KernelModel | inline |
kernelLogPrior() (defined in bayesopt::KernelModel) | bayesopt::KernelModel | |
KernelModel(size_t dim, Parameters parameters) (defined in bayesopt::KernelModel) | bayesopt::KernelModel | |
mKernel | bayesopt::KernelModel | private |
nHyperParameters() (defined in bayesopt::KernelModel) | bayesopt::KernelModel | inline |
priorKernel | bayesopt::KernelModel | private |
setHyperParameters(const vectord &theta) (defined in bayesopt::KernelModel) | bayesopt::KernelModel | inline |
setKernel(const vectord &thetav, const vectord &stheta, std::string k_name, size_t dim) | bayesopt::KernelModel | |
setKernel(KernelParameters kernel, size_t dim) | bayesopt::KernelModel | |
setKernelPrior(const vectord &theta, const vectord &s_theta) | bayesopt::KernelModel | inlineprivate |
~KernelModel() (defined in bayesopt::KernelModel) | bayesopt::KernelModel | inlinevirtual |