ml::Kernels::DoubleDifferentiableRadialBasisFunction Class Reference

Double differentiable radial basis function kernel. More...

#include <Kernels.hpp>

Inheritance diagram for ml::Kernels::DoubleDifferentiableRadialBasisFunction:

Collaboration diagram for ml::Kernels::DoubleDifferentiableRadialBasisFunction:

Public Member Functions
virtual double	second_derivative (double r2) const =0
	Second derivative of the radial basis function of the RBF kernel. More...
Public Member Functions inherited from ml::Kernels::DifferentiableRadialBasisFunction
virtual double	gradient (double r2) const =0
	Gradient of the radial basis function of the RBF kernel. More...
Public Member Functions inherited from ml::Kernels::RadialBasisFunction
virtual	~RadialBasisFunction ()
	Virtual destructor.
virtual double	value (double r2) const =0
	Radial basis function of the RBF kernel. More...

Detailed Description

Double differentiable radial basis function kernel.

Member Function Documentation

second_derivative()

virtual double ml::Kernels::DoubleDifferentiableRadialBasisFunction::second_derivative ( double  r2 ) const

pure virtual

Second derivative of the radial basis function of the RBF kernel.

Parameters

r2	Square of the L2 norm of the difference between two feature vectors.

Returns

Kernel value.

Exceptions

std::domain_error

If r2 < 0.

Implemented in ml::Kernels::GaussianRBF.

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

• ML/Kernels.hpp