This is the complete list of members for cmp::gp::GaussianProcess, including all inherited members.

alpha_	cmp::gp::GaussianProcess	private
compute(const Eigen::Ref< const Eigen::VectorXd > &par)	cmp::gp::GaussianProcess	private
condition(const Eigen::Ref< const Eigen::MatrixXd > &xObs, const Eigen::Ref< const Eigen::VectorXd > &yObs, bool copyData=true, bool normalizeY=false)	cmp::gp::GaussianProcess
covariance(Eigen::Ref< const Eigen::VectorXd > par) const	cmp::gp::GaussianProcess
covarianceGradient(Eigen::Ref< const Eigen::VectorXd > par, const int &i) const	cmp::gp::GaussianProcess
covarianceHessian(Eigen::Ref< const Eigen::VectorXd > par, const size_t &i, const size_t &j) const	cmp::gp::GaussianProcess
covDecomposition_	cmp::gp::GaussianProcess	private
diagCovInverse_	cmp::gp::GaussianProcess	private
expectedVarianceImprovement(const Eigen::Ref< const Eigen::MatrixXd > &x_pts, const Eigen::Ref< const Eigen::MatrixXd > &x_pending, double nu) const	cmp::gp::GaussianProcess
fit(const Eigen::Ref< const Eigen::MatrixXd > &xObs, const Eigen::Ref< const Eigen::VectorXd > &yObs, const Eigen::Ref< const Eigen::VectorXd > &lb, const Eigen::Ref< const Eigen::VectorXd > &ub, const method &method, const nlopt::algorithm &alg, const double &tol_rel, bool copyData=true, bool normalizeY=false, const std::shared_ptr< cmp::prior::Prior > &prior=cmp::prior::Uniform::make(), const std::vector< bool > &logScale={})	cmp::gp::GaussianProcess
GaussianProcess()	cmp::gp::GaussianProcess
GaussianProcess(const std::shared_ptr< covariance::Covariance > &kernel, const std::shared_ptr< mean::Mean > &mean, Eigen::Ref< const Eigen::VectorXd > params, double nugget=1e-8)	cmp::gp::GaussianProcess
GaussianProcess(const GaussianProcess &other)	cmp::gp::GaussianProcess
GaussianProcess(GaussianProcess &&other) noexcept	cmp::gp::GaussianProcess
getAlpha() const	cmp::gp::GaussianProcess	inline
getCovDecomposition() const	cmp::gp::GaussianProcess	inline
getDiagCovInverse() const	cmp::gp::GaussianProcess	inline
getKernel() const	cmp::gp::GaussianProcess	inline
getMean() const	cmp::gp::GaussianProcess	inline
getNugget() const	cmp::gp::GaussianProcess	inline
getParameters() const	cmp::gp::GaussianProcess	inline
getResidualVector() const	cmp::gp::GaussianProcess	inline
getXObs() const	cmp::gp::GaussianProcess	inline
getYObs() const	cmp::gp::GaussianProcess	inline
logLikelihood() const	cmp::gp::GaussianProcess
logLikelihoodLOO(const size_t &i) const	cmp::gp::GaussianProcess
nObs() const	cmp::gp::GaussianProcess	inline
normalizeY_	cmp::gp::GaussianProcess	private
nugget_	cmp::gp::GaussianProcess	private
objectiveFunction(const Eigen::Ref< const Eigen::VectorXd > &x, Eigen::Ref< Eigen::VectorXd > grad, const std::shared_ptr< cmp::prior::Prior > &prior)	cmp::gp::GaussianProcess
objectiveFunctionLOO(const Eigen::Ref< const Eigen::VectorXd > &x, Eigen::Ref< Eigen::VectorXd > grad, const std::shared_ptr< cmp::prior::Prior > &prior)	cmp::gp::GaussianProcess
objectiveFunctionLOOMSE(const Eigen::Ref< const Eigen::VectorXd > &x, Eigen::Ref< Eigen::VectorXd > grad, const std::shared_ptr< cmp::prior::Prior > &prior)	cmp::gp::GaussianProcess
operator=(const GaussianProcess &other)	cmp::gp::GaussianProcess
operator=(GaussianProcess &&other) noexcept	cmp::gp::GaussianProcess
par_	cmp::gp::GaussianProcess	private
pKernel_	cmp::gp::GaussianProcess	private
pMean_	cmp::gp::GaussianProcess	private
predict(const Eigen::Ref< const Eigen::VectorXd > &x, type predictionType=type::POSTERIOR) const	cmp::gp::GaussianProcess
predictLOO(const size_t &i) const	cmp::gp::GaussianProcess
predictMean(const Eigen::Ref< const Eigen::VectorXd > &x, type predictionType=type::POSTERIOR) const	cmp::gp::GaussianProcess
predictMeanMultiple(const Eigen::Ref< const Eigen::MatrixXd > &x_pts, type predictionType=type::POSTERIOR) const	cmp::gp::GaussianProcess
predictMultiple(const Eigen::Ref< const Eigen::MatrixXd > &x_pts, type predictionType=type::POSTERIOR) const	cmp::gp::GaussianProcess
priorMean(Eigen::Ref< const Eigen::VectorXd > par) const	cmp::gp::GaussianProcess
priorMeanGradient(Eigen::Ref< const Eigen::VectorXd > par, const int &i) const	cmp::gp::GaussianProcess
pXObs_	cmp::gp::GaussianProcess	private
pYObs_	cmp::gp::GaussianProcess	private
residual(Eigen::Ref< const Eigen::VectorXd > par) const	cmp::gp::GaussianProcess
residual_	cmp::gp::GaussianProcess	private
set(const std::shared_ptr< covariance::Covariance > &kernel, const std::shared_ptr< mean::Mean > &mean, Eigen::Ref< const Eigen::VectorXd > params, double nugget=1e-8)	cmp::gp::GaussianProcess
xObs_	cmp::gp::GaussianProcess	private
yObs_	cmp::gp::GaussianProcess	private
yScaler_	cmp::gp::GaussianProcess	private
~GaussianProcess()=default	cmp::gp::GaussianProcess