PLearn::PConditionalDistribution Class Reference

#include <PConditionalDistribution.h>

Inheritance diagram for PLearn::PConditionalDistribution:

[legend]Collaboration diagram for PLearn::PConditionalDistribution:

[legend]List of all members.

Public Member Functions
	PConditionalDistribution ()
	Default constructor.
virtual void	build ()
	Simply calls inherited::build() then build_().
virtual void	makeDeepCopyFromShallowCopy (map< const void *, void * > &copies)
	Transforms a shallow copy into a deep copy.
virtual void	setInput (const Vec &input) const
	Set the input part before using the inherited methods.
virtual void	computeOutput (const Vec &input, Vec &output) const
	Produce outputs according to what is specified in outputs_def.
	PLEARN_DECLARE_OBJECT (PConditionalDistribution)
Public Attributes
int	input_part_size
Static Protected Member Functions
void	declareOptions (OptionList &ol)
	Declares this class' options.
Private Types
typedef PDistribution	inherited
Private Member Functions
void	build_ ()
	This does the actual building.

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Member Typedef Documentation

typedef PDistribution PLearn::PConditionalDistribution::inherited [private]

Reimplemented from PLearn::PDistribution. Reimplemented in PLearn::GaussianProcessRegressor. Definition at line 49 of file PConditionalDistribution.h.

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Constructor & Destructor Documentation

PLearn::PConditionalDistribution::PConditionalDistribution (   )

Default constructor. Definition at line 40 of file PConditionalDistribution.cc.

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Member Function Documentation

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

Simply calls inherited::build() then build_(). Reimplemented from PLearn::PDistribution. Reimplemented in PLearn::GaussianProcessRegressor. Definition at line 82 of file PConditionalDistribution.cc. References build_().

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

This does the actual building. Reimplemented from PLearn::PDistribution. Reimplemented in PLearn::GaussianProcessRegressor. Definition at line 72 of file PConditionalDistribution.cc. References input_part_size. Referenced by build().

void PLearn::PConditionalDistribution::computeOutput (  const Vec &  input, Vec &  output )  const [virtual]

Produce outputs according to what is specified in outputs_def. Reimplemented from PLearn::PDistribution. Reimplemented in PLearn::GaussianProcessRegressor. Definition at line 97 of file PConditionalDistribution.cc. References input_part_size, PLearn::TVec< T >::length(), PLearn::Mat, PLERROR, setInput(), PLearn::TVec< T >::subVec(), PLearn::TVec< T >::toMat(), PLearn::variance(), and x.

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

Declares this class' options. Reimplemented from PLearn::PDistribution. Reimplemented in PLearn::GaussianProcessRegressor. Definition at line 61 of file PConditionalDistribution.cc. References PLearn::declareOption(), and PLearn::OptionList.

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

Transforms a shallow copy into a deep copy. Reimplemented from PLearn::PDistribution. Reimplemented in PLearn::GaussianProcessRegressor. Definition at line 88 of file PConditionalDistribution.cc.

PLearn::PConditionalDistribution::PLEARN_DECLARE_OBJECT (  PConditionalDistribution   )

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

Set the input part before using the inherited methods. Reimplemented from PLearn::PDistribution. Definition at line 93 of file PConditionalDistribution.cc. References PLERROR, and PLearn::Vec. Referenced by computeOutput().

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Member Data Documentation

int PLearn::PConditionalDistribution::input_part_size

Definition at line 64 of file PConditionalDistribution.h. Referenced by build_(), and computeOutput().

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

• PConditionalDistribution.h
• PConditionalDistribution.cc

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