CLUS::SkinyMultiDimNormal Class Reference

For now make EMHiperPlanCluster look like a Distribution. More...

#include <skinymultinormal.h>

Inheritance diagram for CLUS::SkinyMultiDimNormal:

[legend]Collaboration diagram for CLUS::SkinyMultiDimNormal:

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Public Member Functions
	SkinyMultiDimNormal (int InDim=0)
	SkinyMultiDimNormal (int InDim, int)
Regressor *	CreateRegressor (void)
	Creates a class that can do the regression for this distribution if given the input.
void	DenormalizeParameters (SkinyMultiDimNormal *pD)
void	NormalizeData (const double *DataCache, double *X)
	Perform distribution dependent transformations on the data.
double	LearnProbability (const double *DataCache)
	Probability that a point belongs to this distribution at learning, unnormalized.
double	InferProbability (const double *DataCache)
	Probability that a point belongs to this distribution at inference, unnormalized.
double	NormalizeLearnProbability (double Coef, int nrClus=1)
	Normalizes the probability of belonging to this cluster, normalizing over the mixture Coef is sum alpha*P(x|distribution).
double	UpdateParameters (void)
	Computes the values of the new parameters from sufficient statistics.
void	AdjustYwithYoverD (double &y)
	Computes the output value for the distribution*probab.
void	RandomDistribution (int NrClusters)
	Random initialization of a distribution.
void	SaveToStream (ostream &out)
	Saves the state of the Distribution in a stream.
void	LoadFromStream (istream &in)
	Loads the state of the Distribution in a stream.
Static Public Member Functions
string	TypeName (void)

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Detailed Description

For now make EMHiperPlanCluster look like a Distribution.

Definition at line 53 of file skinymultinormal.h.

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Constructor & Destructor Documentation

CLUS::SkinyMultiDimNormal::SkinyMultiDimNormal (  int  InDim = 0  )  [inline]

Definition at line 56 of file skinymultinormal.h.

CLUS::SkinyMultiDimNormal::SkinyMultiDimNormal (  int  InDim, int  )  [inline]

Definition at line 59 of file skinymultinormal.h.

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Member Function Documentation

void CLUS::SkinyMultiDimNormal::AdjustYwithYoverD (  double &  y  )  [inline]

Computes the output value for the distribution*probab. Reimplemented from CLUS::Distribution. Definition at line 101 of file skinymultinormal.h.

Regressor* CLUS::SkinyMultiDimNormal::CreateRegressor (  void   )  [inline]

Creates a class that can do the regression for this distribution if given the input. Reimplemented from CLUS::Distribution. Definition at line 62 of file skinymultinormal.h.

void CLUS::SkinyMultiDimNormal::DenormalizeParameters (  SkinyMultiDimNormal *  pD  )  [inline]

Definition at line 68 of file skinymultinormal.h.

double CLUS::SkinyMultiDimNormal::InferProbability (  const double *  DataCache  )  [inline]

Probability that a point belongs to this distribution at inference, unnormalized. Reimplemented from CLUS::Distribution. Definition at line 85 of file skinymultinormal.h.

double CLUS::SkinyMultiDimNormal::LearnProbability (  const double *  DataCache  )  [inline]

Probability that a point belongs to this distribution at learning, unnormalized. Reimplemented from CLUS::Distribution. Definition at line 78 of file skinymultinormal.h.

void CLUS::SkinyMultiDimNormal::LoadFromStream (  istream &  in  )  [inline]

Loads the state of the Distribution in a stream. Reimplemented from CLUS::Distribution. Definition at line 124 of file skinymultinormal.h.

void CLUS::SkinyMultiDimNormal::NormalizeData (  const double *  DataCache, double *  X )  [inline]

Perform distribution dependent transformations on the data. Reimplemented from CLUS::Distribution. Definition at line 71 of file skinymultinormal.h.

double CLUS::SkinyMultiDimNormal::NormalizeLearnProbability (  double  Coef, int  nrClus = 1 )  [inline]

Normalizes the probability of belonging to this cluster, normalizing over the mixture Coef is sum alpha*P(x|distribution). Reimplemented from CLUS::Distribution. Definition at line 91 of file skinymultinormal.h.

void CLUS::SkinyMultiDimNormal::RandomDistribution (  int  NrClusters  )  [inline]

Random initialization of a distribution. Reimplemented from CLUS::Distribution. Definition at line 114 of file skinymultinormal.h.

void CLUS::SkinyMultiDimNormal::SaveToStream (  ostream &  out  )  [inline]

Saves the state of the Distribution in a stream. Reimplemented from CLUS::Distribution. Definition at line 119 of file skinymultinormal.h.

string CLUS::SkinyMultiDimNormal::TypeName (  void   )  [inline, static]

Reimplemented from CLUS::Distribution. Definition at line 109 of file skinymultinormal.h.

double CLUS::SkinyMultiDimNormal::UpdateParameters (  void   )  [inline]

Computes the values of the new parameters from sufficient statistics. Reimplemented from CLUS::Distribution. Definition at line 96 of file skinymultinormal.h.

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

• skinymultinormal.h

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