PLearn::LocallyWeightedDistribution Class Reference

#include <LocallyWeightedDistribution.h>

Inheritance diagram for PLearn::LocallyWeightedDistribution:

[legend]Collaboration diagram for PLearn::LocallyWeightedDistribution:

[legend]List of all members.

Public Member Functions
	LocallyWeightedDistribution ()
virtual void	build ()
	**** SUBCLASS WRITING: **** This method should be redefined in subclasses, to just call inherited::build() and then build_()
virtual void	makeDeepCopyFromShallowCopy (map< const void *, void * > &copies)
	Transforms a shallow copy into a deep copy.
	PLEARN_DECLARE_OBJECT (LocallyWeightedDistribution)
	Declares name and deepCopy methods.
virtual void	train (VMat training_set)
	trains the model
virtual double	log_density (const Vec &x) const
	return log of probability density log(p(x))
Public Attributes
Ker	weighting_kernel
	The kernel that will be used to locally weigh the samples.
PP< Distribution >	localdistr
	The distribution that will be trained with local weights.
Static Protected Member Functions
void	declareOptions (OptionList &ol)
	Declares this class' options.
Private Types
typedef Distribution	inherited
Private Member Functions
void	build_ ()
	This does the actual building.
Private Attributes
Vec	trainsample
	Global storage to save memory allocations.
Vec	weights
	Global storage to save memory allocations.

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Member Typedef Documentation

typedef Distribution PLearn::LocallyWeightedDistribution::inherited [private]

Reimplemented from PLearn::Distribution. Definition at line 53 of file LocallyWeightedDistribution.h.

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Constructor & Destructor Documentation

PLearn::LocallyWeightedDistribution::LocallyWeightedDistribution (   )

Definition at line 46 of file LocallyWeightedDistribution.cc.

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Member Function Documentation

void PLearn::LocallyWeightedDistribution::build (   )  [virtual]

**** SUBCLASS WRITING: **** This method should be redefined in subclasses, to just call inherited::build() and then build_() Reimplemented from PLearn::Distribution. Definition at line 83 of file LocallyWeightedDistribution.cc. References build_().

void PLearn::LocallyWeightedDistribution::build_ (   )  [private]

This does the actual building. Reimplemented from PLearn::Distribution. Definition at line 64 of file LocallyWeightedDistribution.cc. References localdistr, PLERROR, and PLearn::Learner::weightsize(). Referenced by build().

void PLearn::LocallyWeightedDistribution::declareOptions (  OptionList &  ol  )  [static, protected]

Declares this class' options. Reimplemented from PLearn::Distribution. Definition at line 52 of file LocallyWeightedDistribution.cc. References PLearn::declareOption(), and PLearn::OptionList.

double PLearn::LocallyWeightedDistribution::log_density (  const Vec &  x  )  const [virtual]

return log of probability density log(p(x)) Reimplemented from PLearn::Distribution. Definition at line 113 of file LocallyWeightedDistribution.cc. References PLearn::columnmatrix(), PLearn::hconcat(), PLearn::Learner::inputsize(), PLearn::VMat::length(), localdistr, PLearn::TVec< T >::resize(), PLearn::VMat::subMatColumns(), PLearn::TVec< T >::subVec(), trainsample, PLearn::Vec, weighting_kernel, weights, PLearn::Learner::weightsize(), and x.

void PLearn::LocallyWeightedDistribution::makeDeepCopyFromShallowCopy (  map< const void *, void * > &  copies  )  [virtual]

Transforms a shallow copy into a deep copy. Reimplemented from PLearn::Distribution. Definition at line 98 of file LocallyWeightedDistribution.cc. References PLERROR.

PLearn::LocallyWeightedDistribution::PLEARN_DECLARE_OBJECT (  LocallyWeightedDistribution   )

Declares name and deepCopy methods.

void PLearn::LocallyWeightedDistribution::train (  VMat  training_set  )  [virtual]

trains the model Reimplemented from PLearn::Distribution. Definition at line 90 of file LocallyWeightedDistribution.cc. References PLearn::Learner::inputsize(), PLERROR, PLearn::Learner::weightsize(), and PLearn::VMat::width().

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Member Data Documentation

PP<Distribution> PLearn::LocallyWeightedDistribution::localdistr

The distribution that will be trained with local weights. Definition at line 69 of file LocallyWeightedDistribution.h. Referenced by build_(), and log_density().

Vec PLearn::LocallyWeightedDistribution::trainsample [mutable, private]

Global storage to save memory allocations. Definition at line 56 of file LocallyWeightedDistribution.h. Referenced by log_density().

Ker PLearn::LocallyWeightedDistribution::weighting_kernel

The kernel that will be used to locally weigh the samples. Definition at line 66 of file LocallyWeightedDistribution.h. Referenced by log_density().

Vec PLearn::LocallyWeightedDistribution::weights [mutable, private]

Global storage to save memory allocations. Definition at line 56 of file LocallyWeightedDistribution.h. Referenced by log_density().

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

• LocallyWeightedDistribution.h
• LocallyWeightedDistribution.cc

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