PndMvaSomTrainer Class Reference

#include <PndMvaSOMTrainer.h>

Public Member Functions
	PndMvaSomTrainer (DataPoints const *const InputData, size_t mapWidth, size_t mapHeight, size_t numIter, MapNodeInitType initType=SOM_RAND_FROM_DATA, GridInitType gridInitType=RECTANGULAR)
virtual	~PndMvaSomTrainer ()
virtual void	InitMap ()
virtual void	TrainBatch ()
virtual void	TrainOnline ()
virtual void	Calibrate ()
std::vector< PndSomNode * > const &	GetTheMap () const
DataPoints const &	GetInputDataSet () const
size_t	GetNumNodes () const
void	SetSigmaZero (double val)
double	GetSigmaZero () const
void	SetLambda (double val)
double	GetLambda () const
void	SetNodeInitType (MapNodeInitType val=SOM_RAND_FROM_DATA)
MapNodeInitType	GetNodeInitType () const
size_t	GetMapHeight () const
void	SetMapHeight (size_t val)
size_t	GetMapWidth () const
void	SetMapWidth (size_t val)
size_t	GetNumIterations () const
void	SetNumIterations (size_t val)

Protected Member Functions
void	printMapGrid () const

Private Member Functions
	PndMvaSomTrainer (PndMvaSomTrainer const &oth)
PndMvaSomTrainer &	operator= (PndMvaSomTrainer const &oth)
void	InitGridRectAngular ()
void	InitGridHexagonal ()
void	InitMapnodes_RandomFromData ()
void	InitMapnodes_Random ()
size_t	FindBestMatchingNode (std::vector< float > const &vector)

Private Attributes
double	m_sigmaZero
double	m_lambda
double	m_neighbourhoodRadius
size_t	m_MapWidth
size_t	m_MapHeight
size_t	m_NumModelVectors
size_t	m_NumIterations
MapNodeInitType	m_InitMode
GridInitType	m_GridType
std::vector< PndSomNode * >	m_TheMap
DataPoints const *	m_DataSet

Detailed Description

Definition at line 45 of file PndMvaSOMTrainer.h.

Constructor & Destructor Documentation

PndMvaSomTrainer::PndMvaSomTrainer ( DataPoints const *const  InputData, size_t  mapWidth, size_t  mapHeight, size_t  numIter, MapNodeInitType  initType = SOM_RAND_FROM_DATA, GridInitType  gridInitType = RECTANGULAR  )

explicit

Constructor.

Parameters

InputData	Input Data points.
mapWidth	The width of the SOM.
mapHeight	The height of the SOM.
numIter	Number of learning iterations.
initType	The scheme to initialize weight of each node.

virtual PndMvaSomTrainer::~PndMvaSomTrainer ( )

virtual

Destructor.

PndMvaSomTrainer::PndMvaSomTrainer ( PndMvaSomTrainer const &  oth )

private

Member Function Documentation

virtual void PndMvaSomTrainer::Calibrate ( )

virtual

Calibrate the map (post labeling). The current implementation uses the winner takes all scheme. The label with the largest count determines the node label. Note that also a list of all labels is kept in de node itself.

size_t PndMvaSomTrainer::FindBestMatchingNode ( std::vector< float > const &  vector )

private

DataPoints const & PndMvaSomTrainer::GetInputDataSet ( ) const

inline

Get the input data set.

Returns

The list of input data points.

Definition at line 213 of file PndMvaSOMTrainer.h.

References m_DataSet.

{
  return (*(this->m_DataSet));
};

double PndMvaSomTrainer::GetLambda ( ) const

inline

Definition at line 238 of file PndMvaSOMTrainer.h.

References m_lambda.

{
  return this->m_lambda;
};

size_t PndMvaSomTrainer::GetMapHeight ( ) const

inline

Map size.

Definition at line 248 of file PndMvaSOMTrainer.h.

References m_MapHeight.

{
  return this->m_MapHeight;
};

size_t PndMvaSomTrainer::GetMapWidth ( ) const

inline

Definition at line 258 of file PndMvaSOMTrainer.h.

References m_MapWidth.

{
  return this->m_MapWidth;
};

MapNodeInitType PndMvaSomTrainer::GetNodeInitType ( ) const

inline

Definition at line 243 of file PndMvaSOMTrainer.h.

References m_InitMode.

{
  return this->m_InitMode;
};

size_t PndMvaSomTrainer::GetNumIterations ( ) const

inline

Number of iteration (epochs, learning steps).

Definition at line 273 of file PndMvaSOMTrainer.h.

References m_NumIterations.

{
  return this->m_NumIterations;
};

size_t PndMvaSomTrainer::GetNumNodes ( ) const

inline

Returns

The total number of map nodes.

Definition at line 268 of file PndMvaSOMTrainer.h.

References m_MapHeight, and m_MapWidth.

{
  return (this->m_MapWidth * this->m_MapHeight);
};

double PndMvaSomTrainer::GetSigmaZero ( ) const

inline

Definition at line 233 of file PndMvaSOMTrainer.h.

References m_sigmaZero.

{
  return this->m_sigmaZero;
};

std::vector< PndSomNode * > const & PndMvaSomTrainer::GetTheMap ( ) const

inline

Returns

The actual SOM.

Definition at line 208 of file PndMvaSOMTrainer.h.

References m_TheMap.

{
  return this->m_TheMap;
};

void PndMvaSomTrainer::InitGridHexagonal ( )

private

void PndMvaSomTrainer::InitGridRectAngular ( )

private

virtual void PndMvaSomTrainer::InitMap ( )

virtual

Initialize the map according to the given scheme.

void PndMvaSomTrainer::InitMapnodes_Random ( )

private

void PndMvaSomTrainer::InitMapnodes_RandomFromData ( )

private

PndMvaSomTrainer& PndMvaSomTrainer::operator= ( PndMvaSomTrainer const &  oth )

private

void PndMvaSomTrainer::printMapGrid ( ) const

protected

void PndMvaSomTrainer::SetLambda ( double  val )

inline

Set initial value for lambda.

Definition at line 223 of file PndMvaSOMTrainer.h.

References m_lambda, and val.

{
  this->m_lambda = val;
};

void PndMvaSomTrainer::SetMapHeight ( size_t  val )

inline

Definition at line 253 of file PndMvaSOMTrainer.h.

References m_MapHeight, and val.

{
  this->m_MapHeight = val;
};

void PndMvaSomTrainer::SetMapWidth ( size_t  val )

inline

Definition at line 263 of file PndMvaSOMTrainer.h.

References m_MapWidth, and val.

{
  this->m_MapWidth = val;
};

void PndMvaSomTrainer::SetNodeInitType ( MapNodeInitType  val = SOM_RAND_FROM_DATA )

inline

Set initialization method.

Definition at line 228 of file PndMvaSOMTrainer.h.

References m_InitMode, and val.

{
  this->m_InitMode = val;
};

void PndMvaSomTrainer::SetNumIterations ( size_t  val )

inline

Definition at line 278 of file PndMvaSOMTrainer.h.

References m_NumIterations, and val.

{
  this->m_NumIterations = val;
};

void PndMvaSomTrainer::SetSigmaZero ( double  val )

inline

Set initial value for sigma.

Definition at line 218 of file PndMvaSOMTrainer.h.

References m_sigmaZero, and val.

{
  this->m_sigmaZero = val;
};

virtual void PndMvaSomTrainer::TrainBatch ( )

virtual

Train map using batch schema. All available data vectors are presented at once.

virtual void PndMvaSomTrainer::TrainOnline ( )

virtual

Train the map using Online scheme. Data vectors are presented one at a time.

Member Data Documentation

DataPoints const* PndMvaSomTrainer::m_DataSet

private

Definition at line 204 of file PndMvaSOMTrainer.h.

Referenced by GetInputDataSet().

GridInitType PndMvaSomTrainer::m_GridType

private

Definition at line 202 of file PndMvaSOMTrainer.h.

MapNodeInitType PndMvaSomTrainer::m_InitMode

private

Definition at line 201 of file PndMvaSOMTrainer.h.

Referenced by GetNodeInitType(), and SetNodeInitType().

double PndMvaSomTrainer::m_lambda

private

Definition at line 193 of file PndMvaSOMTrainer.h.

Referenced by GetLambda(), and SetLambda().

size_t PndMvaSomTrainer::m_MapHeight

private

Definition at line 197 of file PndMvaSOMTrainer.h.

Referenced by GetMapHeight(), GetNumNodes(), and SetMapHeight().

size_t PndMvaSomTrainer::m_MapWidth

private

Definition at line 196 of file PndMvaSOMTrainer.h.

Referenced by GetMapWidth(), GetNumNodes(), and SetMapWidth().

double PndMvaSomTrainer::m_neighbourhoodRadius

private

Definition at line 194 of file PndMvaSOMTrainer.h.

size_t PndMvaSomTrainer::m_NumIterations

private

Definition at line 199 of file PndMvaSOMTrainer.h.

Referenced by GetNumIterations(), and SetNumIterations().

size_t PndMvaSomTrainer::m_NumModelVectors

private

Definition at line 198 of file PndMvaSOMTrainer.h.

double PndMvaSomTrainer::m_sigmaZero

private

Definition at line 192 of file PndMvaSOMTrainer.h.

Referenced by GetSigmaZero(), and SetSigmaZero().

std::vector<PndSomNode*> PndMvaSomTrainer::m_TheMap

private

Definition at line 203 of file PndMvaSOMTrainer.h.

Referenced by GetTheMap().

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

• PndMvaSOMTrainer.h