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covariance_functions.cpp
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28 hyperParameters(Eigen::VectorXd::Zero(4)), extraParameters(Eigen::VectorXd::Ones(1) * std::numeric_limits<double>::max()) { }
31 hyperParameters(hyperParameters_), extraParameters(Eigen::VectorXd::Ones(1) * std::numeric_limits<double>::max()) { }
33Eigen::MatrixXd PeriodicSquareExponential::evaluate(const Eigen::VectorXd &x, const Eigen::VectorXd &y)
103 hyperParameters(Eigen::VectorXd::Zero(6)), extraParameters(Eigen::VectorXd::Ones(1) * std::numeric_limits<double>::max()) { }
105PeriodicSquareExponential2::PeriodicSquareExponential2(const Eigen::VectorXd &hyperParameters_) :
106 hyperParameters(hyperParameters_), extraParameters(Eigen::VectorXd::Ones(1) * std::numeric_limits<double>::max()) { }
108Eigen::MatrixXd PeriodicSquareExponential2::evaluate(const Eigen::VectorXd &x, const Eigen::VectorXd &y)
Eigen::MatrixXd evaluate(const Eigen::VectorXd &x1, const Eigen::VectorXd &x2) override
Definition covariance_functions.cpp:108
const Eigen::VectorXd & getParameters() const override
Returns the hyper-parameters.
Definition covariance_functions.cpp:162
void setParameters(const Eigen::VectorXd ¶ms) override
Method to set the hyper-parameters.
Definition covariance_functions.cpp:152
int getParameterCount() const override
Returns the number of hyper-parameters.
Definition covariance_functions.cpp:172
The file holds the covariance functions that can be used with the GP class.
Provides mathematical tools needed for the Gaussian process toolbox.
This file is part of the KDE documentation.
Documentation copyright © 1996-2024 The KDE developers.
Generated on Mon Nov 4 2024 16:38:43 by doxygen 1.12.0 written by Dimitri van Heesch, © 1997-2006
Documentation copyright © 1996-2024 The KDE developers.
Generated on Mon Nov 4 2024 16:38:43 by doxygen 1.12.0 written by Dimitri van Heesch, © 1997-2006
KDE's Doxygen guidelines are available online.