DirectGraphicalModels::ITrain Class Reference

Interface class for random model training. More...

#include <ITrain.h>

Inheritance diagram for DirectGraphicalModels::ITrain:

Collaboration diagram for DirectGraphicalModels::ITrain:

Public Member Functions
	ITrain (byte nStates, word nFeatures)
	Constructor. More...
virtual	~ITrain (void)=default
virtual void	train (bool doClean=false)=0
	Random model training. More...
word	getNumFeatures (void) const
	Returns number of features. More...
Public Member Functions inherited from DirectGraphicalModels::CBaseRandomModel
	CBaseRandomModel (byte nStates)
	Constructor. More...
virtual	~CBaseRandomModel (void)
virtual void	reset (void)=0
	Resets class variables. More...
virtual void	save (const std::string &path, const std::string &name=std::string(), short idx=-1) const
	Saves the training data. More...
virtual void	load (const std::string &path, const std::string &name=std::string(), short idx=-1)
	Loads the training data. More...
byte	getNumStates (void) const
	Returns number of states (classes) More...

Private Attributes
word	m_nFeatures
	The number of features (length of the feature vector) More...

Additional Inherited Members
Protected Member Functions inherited from DirectGraphicalModels::CBaseRandomModel
virtual void	saveFile (FILE *pFile) const =0
	Saves the random model into the file. More...
virtual void	loadFile (FILE *pFile)=0
	Loads the random model from the file. More...
std::string	generateFileName (const std::string &path, const std::string &name, short idx) const
	Generates name of the data file for storing random model parameters. More...
Protected Attributes inherited from DirectGraphicalModels::CBaseRandomModel
byte	m_nStates
	The number of states (classes) More...

Detailed Description

Interface class for random model training.

Author

Sergey G. Kosov, serge.nosp@m.y.ko.nosp@m.sov@p.nosp@m.roje.nosp@m.ct-10.nosp@m..de

Definition at line 15 of file ITrain.h.

Constructor & Destructor Documentation

ITrain()

DirectGraphicalModels::ITrain::ITrain ( byte  nStates, word  nFeatures  )

inline

Constructor.

Parameters

nStates	Number of states (classes)
nFeatures	Number of features

Definition at line 23 of file ITrain.h.

~ITrain()

virtual DirectGraphicalModels::ITrain::~ITrain ( void  )

virtualdefault

Member Function Documentation

getNumFeatures()

word DirectGraphicalModels::ITrain::getNumFeatures ( void  ) const

inline

Returns number of features.

Returns

Number of features

Definition at line 37 of file ITrain.h.

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train()

virtual void DirectGraphicalModels::ITrain::train ( bool  doClean = false )

pure virtual

Random model training.

Auxilary function for training - some derived classes may use this function inbetween training and classification phases

Note

This function must be called inbetween the training and classification phases

Parameters

doClean

Flag indicating if the memory, keeping the trining data should be released after training

Implemented in DirectGraphicalModels::CTrainNode, DirectGraphicalModels::CTrainNodeMsRF, DirectGraphicalModels::CTrainEdgeConcat< Trainer, Concatenator >, DirectGraphicalModels::CTrainNodeCvRF, DirectGraphicalModels::CTrainLinkNested< Trainer >, DirectGraphicalModels::CTrainNodeCvANN, DirectGraphicalModels::CTrainNodeCvGMM, DirectGraphicalModels::CTrainNodeCvSVM, DirectGraphicalModels::CTrainNodeKNN, DirectGraphicalModels::CTrainNodeCvKNN, DirectGraphicalModels::CTrainNodeGMM, DirectGraphicalModels::CTrainLink, DirectGraphicalModels::CTrainEdge, DirectGraphicalModels::CTrainNodeBayes, DirectGraphicalModels::CTrainEdgePrior, and DirectGraphicalModels::CTrainTriplet.

Member Data Documentation

m_nFeatures

word DirectGraphicalModels::ITrain::m_nFeatures

private

The number of features (length of the feature vector)

Definition at line 41 of file ITrain.h.

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

• D:/Projects/DGM/modules/DGM/ITrain.h