PLearn 0.1
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#include <GaussianDensityKernel.h>
Public Member Functions | |
GaussianDensityKernel () | |
GaussianDensityKernel (real the_sigma) | |
virtual string | classname () const |
virtual OptionList & | getOptionList () const |
virtual OptionMap & | getOptionMap () const |
virtual RemoteMethodMap & | getRemoteMethodMap () const |
virtual GaussianDensityKernel * | deepCopy (CopiesMap &copies) const |
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) |
Declare options (data fields) for the class. | |
Protected Attributes | |
real | sigma |
Private Types | |
typedef Kernel | inherited |
Like GaussianKernel but the result is properly normalized as a density. returns exp(-0.5*norm_2(x1-x2)^2/sigma^2)/(sigma*sqrt(2pi))^n where n=x1.length().
Definition at line 58 of file GaussianDensityKernel.h.
typedef Kernel PLearn::GaussianDensityKernel::inherited [private] |
Reimplemented from PLearn::Kernel.
Definition at line 60 of file GaussianDensityKernel.h.
PLearn::GaussianDensityKernel::GaussianDensityKernel | ( | ) | [inline] |
Definition at line 65 of file GaussianDensityKernel.h.
: sigma() {}
PLearn::GaussianDensityKernel::GaussianDensityKernel | ( | real | the_sigma | ) | [inline] |
Definition at line 67 of file GaussianDensityKernel.h.
: sigma(the_sigma) {}
string PLearn::GaussianDensityKernel::_classname_ | ( | ) | [static] |
Reimplemented from PLearn::Kernel.
Definition at line 51 of file GaussianDensityKernel.cc.
OptionList & PLearn::GaussianDensityKernel::_getOptionList_ | ( | ) | [static] |
Reimplemented from PLearn::Kernel.
Definition at line 51 of file GaussianDensityKernel.cc.
RemoteMethodMap & PLearn::GaussianDensityKernel::_getRemoteMethodMap_ | ( | ) | [static] |
Reimplemented from PLearn::Kernel.
Definition at line 51 of file GaussianDensityKernel.cc.
Reimplemented from PLearn::Kernel.
Definition at line 51 of file GaussianDensityKernel.cc.
Object * PLearn::GaussianDensityKernel::_new_instance_for_typemap_ | ( | ) | [static] |
Reimplemented from PLearn::Object.
Definition at line 51 of file GaussianDensityKernel.cc.
StaticInitializer GaussianDensityKernel::_static_initializer_ & PLearn::GaussianDensityKernel::_static_initialize_ | ( | ) | [static] |
Reimplemented from PLearn::Kernel.
Definition at line 51 of file GaussianDensityKernel.cc.
string PLearn::GaussianDensityKernel::classname | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 51 of file GaussianDensityKernel.cc.
void PLearn::GaussianDensityKernel::declareOptions | ( | OptionList & | ol | ) | [static, protected] |
Declare options (data fields) for the class.
Redefine this in subclasses: call declareOption
(...) for each option, and then call inherited::declareOptions(options)
. Please call the inherited
method AT THE END to get the options listed in a consistent order (from most recently defined to least recently defined).
static void MyDerivedClass::declareOptions(OptionList& ol) { declareOption(ol, "inputsize", &MyObject::inputsize_, OptionBase::buildoption, "The size of the input; it must be provided"); declareOption(ol, "weights", &MyObject::weights, OptionBase::learntoption, "The learned model weights"); inherited::declareOptions(ol); }
ol | List of options that is progressively being constructed for the current class. |
Reimplemented from PLearn::Kernel.
Definition at line 56 of file GaussianDensityKernel.cc.
References PLearn::OptionBase::buildoption, PLearn::declareOption(), and sigma.
{ declareOption(ol, "sigma", &GaussianDensityKernel::sigma, OptionBase::buildoption, "The width of the Gaussian"); inherited::declareOptions(ol); }
static const PPath& PLearn::GaussianDensityKernel::declaringFile | ( | ) | [inline, static] |
Reimplemented from PLearn::Kernel.
Definition at line 70 of file GaussianDensityKernel.h.
: static void declareOptions(OptionList& ol);
GaussianDensityKernel * PLearn::GaussianDensityKernel::deepCopy | ( | CopiesMap & | copies | ) | const [virtual] |
Reimplemented from PLearn::Kernel.
Definition at line 51 of file GaussianDensityKernel.cc.
** Subclasses must override this method **
returns K(x1,x2)
Implements PLearn::Kernel.
Definition at line 53 of file GaussianDensityKernel.cc.
References PLearn::exp(), PLearn::TVec< T >::length(), Log2Pi, pl_log, and PLearn::powdistance().
{ return exp(-real(0.5)*powdistance(x1, x2, real(2.0))/(sigma*sigma) - x1.length()*(0.5*Log2Pi + pl_log(sigma))); }
OptionList & PLearn::GaussianDensityKernel::getOptionList | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 51 of file GaussianDensityKernel.cc.
OptionMap & PLearn::GaussianDensityKernel::getOptionMap | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 51 of file GaussianDensityKernel.cc.
RemoteMethodMap & PLearn::GaussianDensityKernel::getRemoteMethodMap | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 51 of file GaussianDensityKernel.cc.
Reimplemented from PLearn::Kernel.
Definition at line 70 of file GaussianDensityKernel.h.
real PLearn::GaussianDensityKernel::sigma [protected] |
Definition at line 63 of file GaussianDensityKernel.h.
Referenced by declareOptions().