Set of parametric models for surrogate modelling. More...

Classes
class	bayesopt::AtomicFunction
	Abstract class for an atomic kernel. More...

class	bayesopt::ZeroFunction
	Constant zero function. More...

class	bayesopt::OneFunction
	Constant one function. More...

class	bayesopt::ConstantFunction
	Constant function. More...

class	bayesopt::LinearFunction
	Linear combination function. More...

class	bayesopt::LinearPlusConstantFunction
	Linear combination plus constant function. More...

class	bayesopt::CombinedFunction
	Abstract class for combined functions. More...

class	bayesopt::SumFunction
	Sum of two kernels. More...

class	bayesopt::ParametricFunction
	Interface for mean functors. More...

class	bayesopt::MeanFactory
	Factory model for parametric functions This factory is based on the libgp library by Manuel Blum https://bitbucket.org/mblum/libgp which follows the squeme of GPML by Rasmussen and Nickisch http://www.gaussianprocess.org/gpml/code/matlab/doc/. More...

class	bayesopt::MeanModel

Functions
template<typename MeanType >
ParametricFunction *	bayesopt::create_func ()

ParametricFunction *	bayesopt::MeanModel::getMeanFunc ()

void	bayesopt::MeanModel::setParameters (const vectord &theta)

vectord	bayesopt::MeanModel::getParameters ()

size_t	bayesopt::MeanModel::nParameters ()

vectord	bayesopt::MeanModel::getFeatures (const vectord &x)

void	bayesopt::MeanModel::getFeatures (const vectord &x, vectord &kx)

size_t	bayesopt::MeanModel::nFeatures ()

void	bayesopt::MeanModel::setPoints (const vecOfvec &x)

void	bayesopt::MeanModel::addNewPoint (const vectord &x)

vectord	bayesopt::MeanModel::muTimesFeat ()

double	bayesopt::MeanModel::muTimesFeat (const vectord &x)

Detailed Description

Set of parametric models for surrogate modelling.

Classes