PLearn::CompactVMatrixGaussianKernel Class Reference

#include <CompactVMatrixGaussianKernel.h>

Inheritance diagram for PLearn::CompactVMatrixGaussianKernel:

[legend]Collaboration diagram for PLearn::CompactVMatrixGaussianKernel:

[legend]List of all members.

Public Member Functions
	CompactVMatrixGaussianKernel ()
	CompactVMatrixGaussianKernel (real the_sigma, PP< CompactVMatrix > &vm)
	PLEARN_DECLARE_OBJECT (CompactVMatrixGaussianKernel)
virtual real	evaluate (const Vec &x1, const Vec &x2) const
	returns K(x1,x2)
virtual void	setParameters (Vec paramvec)
	default version produces an error
Static Protected Member Functions
void	declareOptions (OptionList &ol)
	recognized option are "sigma" and "m"
Protected Attributes
real	sigma
PP< CompactVMatrix >	m
Private Types
typedef Kernel	inherited

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Detailed Description

behaves like GaussianKernel except that the x1 and x2 vectors actually only contain INDICES of the rows of a CompactVMatrix, and the square difference is performed efficiently, taking advantage of the discrete nature of many fields.

Definition at line 59 of file CompactVMatrixGaussianKernel.h.

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Member Typedef Documentation

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

Reimplemented from PLearn::Kernel. Definition at line 61 of file CompactVMatrixGaussianKernel.h.

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Constructor & Destructor Documentation

PLearn::CompactVMatrixGaussianKernel::CompactVMatrixGaussianKernel (   )  [inline]

Definition at line 68 of file CompactVMatrixGaussianKernel.h. References m, and sigma.

PLearn::CompactVMatrixGaussianKernel::CompactVMatrixGaussianKernel (  real  the_sigma, PP< CompactVMatrix > &  vm )  [inline]

Definition at line 70 of file CompactVMatrixGaussianKernel.h. References m, and sigma.

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Member Function Documentation

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

recognized option are "sigma" and "m" Reimplemented from PLearn::Kernel. Definition at line 83 of file CompactVMatrixGaussianKernel.cc. References PLearn::declareOption(), and PLearn::OptionList.

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

returns K(x1,x2) Implements PLearn::Kernel. Definition at line 51 of file CompactVMatrixGaussianKernel.cc. References PLearn::exp(), m, PLearn::powdistance(), sigma, and PLearn::Vec.

PLearn::CompactVMatrixGaussianKernel::PLEARN_DECLARE_OBJECT (  CompactVMatrixGaussianKernel   )

void PLearn::CompactVMatrixGaussianKernel::setParameters (  Vec  paramvec  )  [virtual]

default version produces an error Reimplemented from PLearn::Kernel. Definition at line 79 of file CompactVMatrixGaussianKernel.cc. References sigma.

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Member Data Documentation

PP<CompactVMatrix> PLearn::CompactVMatrixGaussianKernel::m [protected]

Definition at line 65 of file CompactVMatrixGaussianKernel.h. Referenced by CompactVMatrixGaussianKernel(), and evaluate().

real PLearn::CompactVMatrixGaussianKernel::sigma [protected]

Definition at line 64 of file CompactVMatrixGaussianKernel.h. Referenced by CompactVMatrixGaussianKernel(), evaluate(), and setParameters().

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

• CompactVMatrixGaussianKernel.h
• CompactVMatrixGaussianKernel.cc

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