bayesopt::MeanModel Class Reference

Public Member Functions
	MeanModel (size_t dim, Parameters parameters)
ParametricFunction *	getMeanFunc ()
void	setParameters (const vectord &theta)
vectord	getParameters ()
size_t	nParameters ()
vectord	getFeatures (const vectord &x)
void	getFeatures (const vectord &x, vectord &kx)
size_t	nFeatures ()
void	setPoints (const vecOfvec &x)
void	addNewPoint (const vectord &x)
vectord	muTimesFeat ()
double	muTimesFeat (const vectord &x)
void	setMean (const vectord &muv, const vectord &smu, std::string m_name, size_t dim)
	Select the parametric part of the surrogate process. More...
void	setMean (MeanParameters mean, size_t dim)
	Wrapper of setMean for the C++ structure.

Public Attributes
matrixd	mFeatM
	Value of the mean features at the input points.

Private Attributes
vectord	mMu
	Mean of the parameters of the mean function.
vectord	mS_Mu
	Variance of the params of the mean function W=mS_Mu*I.
boost::scoped_ptr< ParametricFunction >	mMean
	Pointer to mean function.

Detailed Description

Definition at line 116 of file mean_functors.hpp.

Member Function Documentation

setMean()

void bayesopt::MeanModel::setMean	(	const vectord &	muv,
		const vectord &	smu,
		std::string	m_name,
		size_t	dim
	)

Select the parametric part of the surrogate process.

Parameters

muv	mean function parameters
smu	std function parameters
m_name	mean function name
dim	number of input dimensions

Returns

error_code

Definition at line 65 of file mean_functors.cpp.

References bayesopt::MeanFactory::create().

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The documentation for this class was generated from the following files:

• mean_functors.hpp
• mean_functors.cpp