PLearn 0.1
Public Member Functions | Static Public Member Functions | Static Public Attributes | Static Protected Member Functions | Protected Attributes | Private Types
PLearn::CompactVMatrixGaussianKernel Class Reference

#include <CompactVMatrixGaussianKernel.h>

Inheritance diagram for PLearn::CompactVMatrixGaussianKernel:
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List of all members.

Public Member Functions

 CompactVMatrixGaussianKernel ()
 CompactVMatrixGaussianKernel (real the_sigma, PP< CompactVMatrix > &vm)
virtual string classname () const
virtual OptionListgetOptionList () const
virtual OptionMapgetOptionMap () const
virtual RemoteMethodMapgetRemoteMethodMap () const
virtual
CompactVMatrixGaussianKernel
deepCopy (CopiesMap &copies) const
virtual real evaluate (const Vec &x1, const Vec &x2) const
 ** Subclasses must override this method **
virtual void setParameters (Vec paramvec)
 ** Subclasses may override these methods ** They provide a generic way to set and retrieve kernel parameters

Static Public Member Functions

static string _classname_ ()
static OptionList_getOptionList_ ()
static RemoteMethodMap_getRemoteMethodMap_ ()
static Object_new_instance_for_typemap_ ()
static bool _isa_ (const Object *o)
static void _static_initialize_ ()
static const PPathdeclaringFile ()

Static Public Attributes

static StaticInitializer _static_initializer_

Static Protected Member Functions

static void declareOptions (OptionList &ol)
 recognized option are "sigma" and "m"

Protected Attributes

real sigma
PP< CompactVMatrixm

Private Types

typedef Kernel inherited

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.


Member Typedef Documentation

Reimplemented from PLearn::Kernel.

Definition at line 61 of file CompactVMatrixGaussianKernel.h.


Constructor & Destructor Documentation

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

Definition at line 68 of file CompactVMatrixGaussianKernel.h.

        : sigma(), m(0) {}
PLearn::CompactVMatrixGaussianKernel::CompactVMatrixGaussianKernel ( real  the_sigma,
PP< CompactVMatrix > &  vm 
) [inline]

Definition at line 70 of file CompactVMatrixGaussianKernel.h.

        : sigma(the_sigma), m(vm) {}

Member Function Documentation

string PLearn::CompactVMatrixGaussianKernel::_classname_ ( ) [static]

Reimplemented from PLearn::Kernel.

Definition at line 49 of file CompactVMatrixGaussianKernel.cc.

OptionList & PLearn::CompactVMatrixGaussianKernel::_getOptionList_ ( ) [static]

Reimplemented from PLearn::Kernel.

Definition at line 49 of file CompactVMatrixGaussianKernel.cc.

RemoteMethodMap & PLearn::CompactVMatrixGaussianKernel::_getRemoteMethodMap_ ( ) [static]

Reimplemented from PLearn::Kernel.

Definition at line 49 of file CompactVMatrixGaussianKernel.cc.

bool PLearn::CompactVMatrixGaussianKernel::_isa_ ( const Object o) [static]

Reimplemented from PLearn::Kernel.

Definition at line 49 of file CompactVMatrixGaussianKernel.cc.

Object * PLearn::CompactVMatrixGaussianKernel::_new_instance_for_typemap_ ( ) [static]

Reimplemented from PLearn::Object.

Definition at line 49 of file CompactVMatrixGaussianKernel.cc.

StaticInitializer CompactVMatrixGaussianKernel::_static_initializer_ & PLearn::CompactVMatrixGaussianKernel::_static_initialize_ ( ) [static]

Reimplemented from PLearn::Kernel.

Definition at line 49 of file CompactVMatrixGaussianKernel.cc.

string PLearn::CompactVMatrixGaussianKernel::classname ( ) const [virtual]

Reimplemented from PLearn::Object.

Definition at line 49 of file CompactVMatrixGaussianKernel.cc.

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::OptionBase::buildoption, PLearn::declareOption(), m, and sigma.

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static const PPath& PLearn::CompactVMatrixGaussianKernel::declaringFile ( ) [inline, static]

Reimplemented from PLearn::Kernel.

Definition at line 73 of file CompactVMatrixGaussianKernel.h.

:
CompactVMatrixGaussianKernel * PLearn::CompactVMatrixGaussianKernel::deepCopy ( CopiesMap copies) const [virtual]

Reimplemented from PLearn::Kernel.

Definition at line 49 of file CompactVMatrixGaussianKernel.cc.

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

** Subclasses must override this method **

returns K(x1,x2)

Implements PLearn::Kernel.

Definition at line 51 of file CompactVMatrixGaussianKernel.cc.

References PLearn::exp(), m, and PLearn::powdistance().

{ 
    // return exp(-powdistance(x1, x2, 2.0)/(sigma*sigma)); 
    real sqdiff=0;
    if (m)
    {
        sqdiff=m->squareDifference(int(x1[0]),int(x2[0]));
/*
  #ifdef BOUNDCHECK
  m->setNormalMode();
  int actual_n_inputs = m->width()-1;
  Vec actual_x1(actual_n_inputs);
  Vec actual_x2(actual_n_inputs);
  m->getRow(int(x1[0]),actual_x1);
  m->getRow(int(x2[0]),actual_x2);
  m->setIndicesMode();
  real actual_sqdiff= powdistance(actual_x1, actual_x2, 2.0);
  if (fabs(sqdiff-actual_sqdiff)>0.1)
  PLWARNING("something wrong in CompactVMatrixGaussianKernel");
  #endif
*/
    }
    else
        sqdiff= powdistance(x1, x2, real(2.0));
    return exp(-sqdiff/(sigma*sigma));
  
}

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OptionList & PLearn::CompactVMatrixGaussianKernel::getOptionList ( ) const [virtual]

Reimplemented from PLearn::Object.

Definition at line 49 of file CompactVMatrixGaussianKernel.cc.

OptionMap & PLearn::CompactVMatrixGaussianKernel::getOptionMap ( ) const [virtual]

Reimplemented from PLearn::Object.

Definition at line 49 of file CompactVMatrixGaussianKernel.cc.

RemoteMethodMap & PLearn::CompactVMatrixGaussianKernel::getRemoteMethodMap ( ) const [virtual]

Reimplemented from PLearn::Object.

Definition at line 49 of file CompactVMatrixGaussianKernel.cc.

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

** Subclasses may override these methods ** They provide a generic way to set and retrieve kernel parameters

default version produces an error

Reimplemented from PLearn::Kernel.

Definition at line 79 of file CompactVMatrixGaussianKernel.cc.

{ sigma = paramvec[0]; }

Member Data Documentation

Reimplemented from PLearn::Kernel.

Definition at line 73 of file CompactVMatrixGaussianKernel.h.

Definition at line 65 of file CompactVMatrixGaussianKernel.h.

Referenced by declareOptions().

Definition at line 64 of file CompactVMatrixGaussianKernel.h.

Referenced by declareOptions().


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