PLearn::ScaledGaussianKernel Class Reference

returns exp(-sum_i[(phi_i*(x1_i - x2_i))^2]/sigma^2) More...

#include <ScaledGaussianKernel.h>

Inheritance diagram for PLearn::ScaledGaussianKernel:

[legend]Collaboration diagram for PLearn::ScaledGaussianKernel:

[legend]List of all members.

Public Member Functions
	ScaledGaussianKernel ()
	ScaledGaussianKernel (real the_sigma, Vec the_phi)
	PLEARN_DECLARE_OBJECT (ScaledGaussianKernel)
virtual void	makeDeepCopyFromShallowCopy (map< const void *, void * > &copies)
virtual real	evaluate (const Vec &x1, const Vec &x2) const
	returns K(x1,x2)
Static Protected Member Functions
void	declareOptions (OptionList &ol)
	recognized option is "sigma"
Protected Attributes
real	sigma
Vec	phi
Private Types
typedef Kernel	inherited

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Detailed Description

returns exp(-sum_i[(phi_i*(x1_i - x2_i))^2]/sigma^2)

Definition at line 55 of file ScaledGaussianKernel.h.

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Member Typedef Documentation

typedef Kernel PLearn::ScaledGaussianKernel::inherited [private]

Reimplemented from PLearn::Kernel. Definition at line 57 of file ScaledGaussianKernel.h.

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Constructor & Destructor Documentation

PLearn::ScaledGaussianKernel::ScaledGaussianKernel (   )  [inline]

Definition at line 64 of file ScaledGaussianKernel.h. References phi, and sigma.

PLearn::ScaledGaussianKernel::ScaledGaussianKernel (  real  the_sigma, Vec  the_phi )  [inline]

Definition at line 66 of file ScaledGaussianKernel.h. References phi, and sigma.

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Member Function Documentation

void PLearn::ScaledGaussianKernel::declareOptions (  OptionList &  ol  )  [static, protected]

recognized option is "sigma" Reimplemented from PLearn::Kernel. Definition at line 60 of file ScaledGaussianKernel.cc. References PLearn::declareOption(), and PLearn::OptionList.

real PLearn::ScaledGaussianKernel::evaluate (  const Vec &  x1, const Vec &  x2 )  const [virtual]

returns K(x1,x2) Implements PLearn::Kernel. Definition at line 57 of file ScaledGaussianKernel.cc. References PLearn::exp(), phi, sigma, PLearn::square(), and PLearn::weighted_powdistance().

void PLearn::ScaledGaussianKernel::makeDeepCopyFromShallowCopy (  map< const void *, void * > &  copies  )  [virtual]

Definition at line 51 of file ScaledGaussianKernel.cc. References PLearn::deepCopyField(), and phi.

PLearn::ScaledGaussianKernel::PLEARN_DECLARE_OBJECT (  ScaledGaussianKernel   )

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Member Data Documentation

Vec PLearn::ScaledGaussianKernel::phi [protected]

Definition at line 61 of file ScaledGaussianKernel.h. Referenced by evaluate(), makeDeepCopyFromShallowCopy(), and ScaledGaussianKernel().

real PLearn::ScaledGaussianKernel::sigma [protected]

Definition at line 60 of file ScaledGaussianKernel.h. Referenced by evaluate(), and ScaledGaussianKernel().

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

• ScaledGaussianKernel.h
• ScaledGaussianKernel.cc

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