PLearn 0.1
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#include <LogOfGaussianDensityKernel.h>
Public Member Functions | |
LogOfGaussianDensityKernel () | |
LogOfGaussianDensityKernel (real the_sigma) | |
virtual string | classname () const |
virtual OptionList & | getOptionList () const |
virtual OptionMap & | getOptionMap () const |
virtual RemoteMethodMap & | getRemoteMethodMap () const |
virtual LogOfGaussianDensityKernel * | 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 |
computes the log of a GaussianDensityKernel logp = log[ exp(-0.5*norm_2(x1-x2)^2/sigma^2)/(sigma*sqrt(2pi))^n ] = log[ exp(-0.5*norm_2(x1-x2)^2/sigma^2)/exp(log[(sigma*sqrt(2pi))^n]) ] = log[ exp(-0.5*norm_2(x1-x2)^2/sigma^2)/exp(log[(2pi*sigma^2)^(n/2)]) ] = -0.5* [ norm_2(x1-x2)^2/sigma^2 + n*( log(2pi) + log(sigma^2) ) ] where n=x1.length().
Definition at line 60 of file LogOfGaussianDensityKernel.h.
typedef Kernel PLearn::LogOfGaussianDensityKernel::inherited [private] |
Reimplemented from PLearn::Kernel.
Definition at line 62 of file LogOfGaussianDensityKernel.h.
PLearn::LogOfGaussianDensityKernel::LogOfGaussianDensityKernel | ( | ) | [inline] |
Definition at line 68 of file LogOfGaussianDensityKernel.h.
: sigma() {}
PLearn::LogOfGaussianDensityKernel::LogOfGaussianDensityKernel | ( | real | the_sigma | ) | [inline] |
Definition at line 70 of file LogOfGaussianDensityKernel.h.
: sigma(the_sigma) {}
string PLearn::LogOfGaussianDensityKernel::_classname_ | ( | ) | [static] |
Reimplemented from PLearn::Kernel.
Definition at line 49 of file LogOfGaussianDensityKernel.cc.
OptionList & PLearn::LogOfGaussianDensityKernel::_getOptionList_ | ( | ) | [static] |
Reimplemented from PLearn::Kernel.
Definition at line 49 of file LogOfGaussianDensityKernel.cc.
RemoteMethodMap & PLearn::LogOfGaussianDensityKernel::_getRemoteMethodMap_ | ( | ) | [static] |
Reimplemented from PLearn::Kernel.
Definition at line 49 of file LogOfGaussianDensityKernel.cc.
Reimplemented from PLearn::Kernel.
Definition at line 49 of file LogOfGaussianDensityKernel.cc.
Object * PLearn::LogOfGaussianDensityKernel::_new_instance_for_typemap_ | ( | ) | [static] |
Reimplemented from PLearn::Object.
Definition at line 49 of file LogOfGaussianDensityKernel.cc.
StaticInitializer LogOfGaussianDensityKernel::_static_initializer_ & PLearn::LogOfGaussianDensityKernel::_static_initialize_ | ( | ) | [static] |
Reimplemented from PLearn::Kernel.
Definition at line 49 of file LogOfGaussianDensityKernel.cc.
string PLearn::LogOfGaussianDensityKernel::classname | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 49 of file LogOfGaussianDensityKernel.cc.
void PLearn::LogOfGaussianDensityKernel::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 67 of file LogOfGaussianDensityKernel.cc.
References PLearn::OptionBase::buildoption, PLearn::declareOption(), and sigma.
{ declareOption(ol, "sigma", &LogOfGaussianDensityKernel::sigma, OptionBase::buildoption, "The width of the Gaussian"); inherited::declareOptions(ol); }
static const PPath& PLearn::LogOfGaussianDensityKernel::declaringFile | ( | ) | [inline, static] |
Reimplemented from PLearn::Kernel.
Definition at line 73 of file LogOfGaussianDensityKernel.h.
: static void declareOptions(OptionList& ol);
LogOfGaussianDensityKernel * PLearn::LogOfGaussianDensityKernel::deepCopy | ( | CopiesMap & | copies | ) | const [virtual] |
Reimplemented from PLearn::Kernel.
Definition at line 49 of file LogOfGaussianDensityKernel.cc.
real PLearn::LogOfGaussianDensityKernel::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 LogOfGaussianDensityKernel.cc.
References PLearn::TVec< T >::length(), PLearn::log(), Pi, and PLearn::powdistance().
{ // cerr << "LogOfGaussKernel mu: " << x1 << endl; double sigmasq = sigma*sigma; // cerr << "sqnorm_xmu " << powdistance(x1, x2, real(2.0)) << endl; // cerr << "sigmasq " << sigmasq << endl; double q = powdistance(x1, x2, real(2.0))/sigmasq; // cerr << "log of gauss kernel q = " << q << endl; //double logp = -0.5 * ( q + x1.length()*( log(2*M_PI) + log(sigmasq)) ); double logp = -0.5 * ( q + x1.length()*( log(2*Pi) + log(sigmasq)) ); // cerr << "logp = " << logp << endl; // exit(0); return real(logp); }
OptionList & PLearn::LogOfGaussianDensityKernel::getOptionList | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 49 of file LogOfGaussianDensityKernel.cc.
OptionMap & PLearn::LogOfGaussianDensityKernel::getOptionMap | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 49 of file LogOfGaussianDensityKernel.cc.
RemoteMethodMap & PLearn::LogOfGaussianDensityKernel::getRemoteMethodMap | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 49 of file LogOfGaussianDensityKernel.cc.
Reimplemented from PLearn::Kernel.
Definition at line 73 of file LogOfGaussianDensityKernel.h.
real PLearn::LogOfGaussianDensityKernel::sigma [protected] |
Definition at line 65 of file LogOfGaussianDensityKernel.h.
Referenced by declareOptions().