ml::Kernels::RBFKernel< RBF > Class Template Reference

Radial basis function kernel. More...

#include <Kernels.hpp>

Inheritance diagram for ml::Kernels::RBFKernel< RBF >:

Collaboration diagram for ml::Kernels::RBFKernel< RBF >:

Public Member Functions
	RBFKernel (std::unique_ptr< const RBF > &&rbf, unsigned int dim)
	Constructor. More...
	RBFKernel (const RBFKernel &other)=delete
RBFKernel &	operator= (const RBFKernel &other)=delete
	RBFKernel (RBFKernel &&other)=default
RBFKernel &	operator= (RBFKernel &&other)=default
double	value (const Eigen::Ref< const Eigen::VectorXd > x1, const Eigen::Ref< const Eigen::VectorXd > x2) const override
	Value of the kernel \( K(\vec{x}_1, \vec{x}_2) \). More...
unsigned int	dim () const override
	Dimension of the feature space.
Public Member Functions inherited from ml::Kernels::Kernel
virtual	~Kernel ()
	Virtual destructor.

Protected Attributes
std::unique_ptr< const RBF >	rbf_

Additional Inherited Members
Protected Member Functions inherited from ml::Kernels::Kernel
void	validate_arguments (const Eigen::Ref< const Eigen::VectorXd > x1, const Eigen::Ref< const Eigen::VectorXd > x2) const

Detailed Description

template<class RBF = RadialBasisFunction>
class ml::Kernels::RBFKernel< RBF >

Radial basis function kernel.

Kernel function of the form K(x1, x2) = s(||x1 - x2||^2).

See https://en.wikipedia.org/wiki/Radial_basis_function_kernel

Template Parameters

RBF	RadialBasisFunction or its child class.

Constructor & Destructor Documentation

RBFKernel()

template<class RBF = RadialBasisFunction>

ml::Kernels::RBFKernel< RBF >::RBFKernel ( std::unique_ptr< const RBF > &&  rbf, unsigned int  dim  )

inline

Constructor.

Parameters

rbf	Radial basis function, moved.
dim	Dimension of the kernel, positive.

Exceptions

std::invalid_argument	If rbf is null.
std::domain_error	If dim is zero.

Member Function Documentation

value()

template<class RBF = RadialBasisFunction>

double ml::Kernels::RBFKernel< RBF >::value ( const Eigen::Ref< const Eigen::VectorXd >  x1, const Eigen::Ref< const Eigen::VectorXd >  x2  ) const

inlineoverridevirtual

Value of the kernel \( K(\vec{x}_1, \vec{x}_2) \).

Parameters

[in]	x1	First feature vector.
[in]	x2	Second feature vector.

Returns

Kernel value.

Exceptions

std::invalid_argument

If x1.size() != #dim() or x2.size() != #dim().

Implements ml::Kernels::Kernel.

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

• ML/Kernels.hpp