PLearn 0.1
|
returns exp(-sum_i[(phi_i*(x1_i - x2_i))^2]/sigma^2) More...
#include <ScaledGaussianKernel.h>
Public Member Functions | |
ScaledGaussianKernel () | |
ScaledGaussianKernel (real the_sigma, Vec the_phi) | |
virtual string | classname () const |
virtual OptionList & | getOptionList () const |
virtual OptionMap & | getOptionMap () const |
virtual RemoteMethodMap & | getRemoteMethodMap () const |
virtual ScaledGaussianKernel * | deepCopy (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 PPath & | declaringFile () |
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 |
returns exp(-sum_i[(phi_i*(x1_i - x2_i))^2]/sigma^2)
Definition at line 55 of file ScaledGaussianKernel.h.
typedef Kernel PLearn::ScaledGaussianKernel::inherited [private] |
Reimplemented from PLearn::Kernel.
Definition at line 57 of file ScaledGaussianKernel.h.
PLearn::ScaledGaussianKernel::ScaledGaussianKernel | ( | ) | [inline] |
Definition at line 64 of file ScaledGaussianKernel.h.
Definition at line 66 of file ScaledGaussianKernel.h.
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.
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.
{ declareOption(ol, "sigma", &ScaledGaussianKernel::sigma, OptionBase::buildoption, "TODO: Some comments"); declareOption(ol, "phi", &ScaledGaussianKernel::phi, OptionBase::buildoption, ""); inherited::declareOptions(ol); }
static const PPath& PLearn::ScaledGaussianKernel::declaringFile | ( | ) | [inline, static] |
ScaledGaussianKernel * PLearn::ScaledGaussianKernel::deepCopy | ( | CopiesMap & | copies | ) | const [virtual] |
Reimplemented from PLearn::Kernel.
Definition at line 49 of file ScaledGaussianKernel.cc.
** 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().
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); ... }
copies | A 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().
{ inherited::makeDeepCopyFromShallowCopy(copies); deepCopyField(phi, copies); }
Reimplemented from PLearn::Kernel.
Definition at line 70 of file ScaledGaussianKernel.h.
Vec PLearn::ScaledGaussianKernel::phi [protected] |
Definition at line 61 of file ScaledGaussianKernel.h.
Referenced by declareOptions().
real PLearn::ScaledGaussianKernel::sigma [protected] |
Definition at line 60 of file ScaledGaussianKernel.h.
Referenced by declareOptions().