PLearn::ConditionalDistribution Class Reference

#include <ConditionalDistribution.h>

Inheritance diagram for PLearn::ConditionalDistribution:

[legend]Collaboration diagram for PLearn::ConditionalDistribution:

[legend]List of all members.

Public Types
typedef Distribution	inherited
Public Member Functions
	ConditionalDistribution ()
virtual void	makeDeepCopyFromShallowCopy (map< const void *, void * > &copies)
	Transforms a shallow copy into a deep copy.
	PLEARN_DECLARE_OBJECT (ConditionalDistribution)
	Declares name and deepCopy methods.
virtual void	setInput (const Vec &input)
	Set the input part before using the inherited methods.
virtual void	use (const Vec &input, Vec &output)
	computes the ouptu of a trained model
Public Attributes
int	input_part_size

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Member Typedef Documentation

typedef Distribution PLearn::ConditionalDistribution::inherited

Reimplemented from PLearn::Distribution. Reimplemented in PLearn::ConditionalGaussianDistribution. Definition at line 61 of file ConditionalDistribution.h. Referenced by ConditionalDistribution().

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Constructor & Destructor Documentation

PLearn::ConditionalDistribution::ConditionalDistribution (   )

Definition at line 44 of file ConditionalDistribution.cc. References inherited.

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Member Function Documentation

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

Transforms a shallow copy into a deep copy. Reimplemented from PLearn::Distribution. Reimplemented in PLearn::ConditionalGaussianDistribution. Definition at line 55 of file ConditionalDistribution.cc.

PLearn::ConditionalDistribution::PLEARN_DECLARE_OBJECT (  ConditionalDistribution   )

Declares name and deepCopy methods.

void PLearn::ConditionalDistribution::setInput (  const Vec &  input  )  [virtual]

Set the input part before using the inherited methods. Reimplemented in PLearn::ConditionalGaussianDistribution. Definition at line 61 of file ConditionalDistribution.cc. References PLERROR, and PLearn::Vec. Referenced by use().

void PLearn::ConditionalDistribution::use (  const Vec &  input, Vec &  output )  [virtual]

computes the ouptu of a trained model Reimplemented from PLearn::Distribution. Definition at line 65 of file ConditionalDistribution.cc. References PLearn::Distribution::expectation(), input_part_size, PLearn::TVec< T >::length(), setInput(), PLearn::TVec< T >::subVec(), PLearn::TMat< T >::toVec(), PLearn::Distribution::variance(), and x.

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Member Data Documentation

int PLearn::ConditionalDistribution::input_part_size

Definition at line 65 of file ConditionalDistribution.h. Referenced by use().

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

• ConditionalDistribution.h
• ConditionalDistribution.cc

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