PLearn 0.1
Public Member Functions | Static Public Member Functions | Static Public Attributes | Static Protected Member Functions | Protected Attributes | Private Types
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:
Inheritance graph
[legend]
Collaboration diagram for PLearn::ScaledGaussianKernel:
Collaboration graph
[legend]

List of all members.

Public Member Functions

 ScaledGaussianKernel ()
 ScaledGaussianKernel (real the_sigma, Vec the_phi)
virtual string classname () const
virtual OptionListgetOptionList () const
virtual OptionMapgetOptionMap () const
virtual RemoteMethodMapgetRemoteMethodMap () const
virtual ScaledGaussianKerneldeepCopy (CopiesMap &copies) const
virtual void makeDeepCopyFromShallowCopy (CopiesMap &copies)
 Does the necessary operations to transform a shallow copy (this) into a deep copy by deep-copying all the members that need to be.
virtual real evaluate (const Vec &x1, const Vec &x2) const
 ** Subclasses must override this method **

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 is "sigma"

Protected Attributes

real sigma
Vec phi

Private Types

typedef Kernel inherited

Detailed Description

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

Definition at line 55 of file ScaledGaussianKernel.h.


Member Typedef Documentation

Reimplemented from PLearn::Kernel.

Definition at line 57 of file ScaledGaussianKernel.h.


Constructor & Destructor Documentation

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

Definition at line 64 of file ScaledGaussianKernel.h.

        : sigma(), phi() {}
PLearn::ScaledGaussianKernel::ScaledGaussianKernel ( real  the_sigma,
Vec  the_phi 
) [inline]

Definition at line 66 of file ScaledGaussianKernel.h.

        :sigma(the_sigma), phi(the_phi)
    {}

Member Function Documentation

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

Reimplemented from PLearn::Kernel.

Definition at line 49 of file ScaledGaussianKernel.cc.

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

Reimplemented from PLearn::Kernel.

Definition at line 49 of file ScaledGaussianKernel.cc.

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

Reimplemented from PLearn::Kernel.

Definition at line 49 of file ScaledGaussianKernel.cc.

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

Reimplemented from PLearn::Kernel.

Definition at line 49 of file ScaledGaussianKernel.cc.

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

Reimplemented from PLearn::Object.

Definition at line 49 of file ScaledGaussianKernel.cc.

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

Reimplemented from PLearn::Kernel.

Definition at line 49 of file ScaledGaussianKernel.cc.

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

Reimplemented from PLearn::Object.

Definition at line 49 of file ScaledGaussianKernel.cc.

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

Here is the call graph for this function:

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

Reimplemented from PLearn::Kernel.

Definition at line 70 of file ScaledGaussianKernel.h.

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

Reimplemented from PLearn::Kernel.

Definition at line 49 of file ScaledGaussianKernel.cc.

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

** Subclasses must override this method **

returns K(x1,x2)

Implements PLearn::Kernel.

Definition at line 57 of file ScaledGaussianKernel.cc.

References PLearn::exp(), PLearn::square(), and PLearn::weighted_powdistance().

{ return exp(-weighted_powdistance(x1, x2, real(2.0), phi)/square(sigma)); }

Here is the call graph for this function:

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

Reimplemented from PLearn::Object.

Definition at line 49 of file ScaledGaussianKernel.cc.

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

Reimplemented from PLearn::Object.

Definition at line 49 of file ScaledGaussianKernel.cc.

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

Reimplemented from PLearn::Object.

Definition at line 49 of file ScaledGaussianKernel.cc.

void PLearn::ScaledGaussianKernel::makeDeepCopyFromShallowCopy ( CopiesMap copies) [virtual]

Does the necessary operations to transform a shallow copy (this) into a deep copy by deep-copying all the members that need to be.

This needs to be overridden by every class that adds "complex" data members to the class, such as Vec, Mat, PP<Something>, etc. Typical implementation:

  void CLASS_OF_THIS::makeDeepCopyFromShallowCopy(CopiesMap& copies)
  {
      inherited::makeDeepCopyFromShallowCopy(copies);
      deepCopyField(complex_data_member1, copies);
      deepCopyField(complex_data_member2, copies);
      ...
  }
Parameters:
copiesA map used by the deep-copy mechanism to keep track of already-copied objects.

Reimplemented from PLearn::Kernel.

Definition at line 51 of file ScaledGaussianKernel.cc.

References PLearn::deepCopyField().

Here is the call graph for this function:


Member Data Documentation

Reimplemented from PLearn::Kernel.

Definition at line 70 of file ScaledGaussianKernel.h.

Definition at line 61 of file ScaledGaussianKernel.h.

Referenced by declareOptions().

Definition at line 60 of file ScaledGaussianKernel.h.

Referenced by declareOptions().


The documentation for this class was generated from the following files:
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Defines