DirectGraphicalModels::CBaseRandomModel Class Reference

Base abstract class for random model training. More...

#include <BaseRandomModel.h>

Inheritance diagram for DirectGraphicalModels::CBaseRandomModel:

Public Member Functions
	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...

Protected Member Functions
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
byte	m_nStates
	The number of states (classes) More...

Detailed Description

Base abstract class for random model training.

This class defines basic serialization interface.

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 24 of file BaseRandomModel.h.

Constructor & Destructor Documentation

CBaseRandomModel()

DirectGraphicalModels::CBaseRandomModel::CBaseRandomModel ( byte  nStates )

inline

Constructor.

Parameters

nStates

Number of states (classes).

Definition at line 31 of file BaseRandomModel.h.

~CBaseRandomModel()

virtual DirectGraphicalModels::CBaseRandomModel::~CBaseRandomModel ( void  )

inlinevirtual

Definition at line 32 of file BaseRandomModel.h.

Member Function Documentation

generateFileName()

std::string DirectGraphicalModels::CBaseRandomModel::generateFileName ( const std::string &  path, const std::string &  name, short  idx  ) const

protected

Generates name of the data file for storing random model parameters.

This function generated the file name as follows: fileName="<path><name>_<idx>.dat", where idx always has 5 symbols.

Parameters

path	Path to the folder, containing the data file.
name	Name of data file.
idx	Index of the data file. If idx is negative, index will not be added to the file name.

Returns

File name.

Definition at line 28 of file BaseRandomModel.cpp.

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getNumStates()

byte DirectGraphicalModels::CBaseRandomModel::getNumStates ( void  ) const

inline

Returns number of states (classes)

Returns

Number of states (features)

Definition at line 59 of file BaseRandomModel.h.

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load()

void DirectGraphicalModels::CBaseRandomModel::load ( const std::string &  path, const std::string &  name = std::string(), short  idx = -1  )

virtual

Loads the training data.

Allows to re-use the class. Loads data to the file: "<path><name>_<idx>.dat".

Parameters

path	Path to the folder, containing the data file.
name	Name of data file. If empty, will be generated automatically from the class name.
idx	Index of the data file. Negative value means no index.

Reimplemented in DirectGraphicalModels::CTrainNodeMsRF, DirectGraphicalModels::CTrainNodeCvRF, DirectGraphicalModels::CTrainEdgeConcat< Trainer, Concatenator >, DirectGraphicalModels::CTrainLinkNested< Trainer >, DirectGraphicalModels::CTrainNodeCvANN, DirectGraphicalModels::CTrainNodeCvGMM, DirectGraphicalModels::CTrainNodeCvSVM, DirectGraphicalModels::CTrainNodeKNN, and DirectGraphicalModels::CTrainNodeCvKNN.

Definition at line 19 of file BaseRandomModel.cpp.

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loadFile()

virtual void DirectGraphicalModels::CBaseRandomModel::loadFile ( FILE *  pFile )

protectedpure virtual

Loads the random model from the file.

Allows to re-use the class.

Parameters

pFile

Pointer to the file, opened for reading.

Implemented in DirectGraphicalModels::CTrainLinkNested< Trainer >, DirectGraphicalModels::CTrainNodeMsRF, DirectGraphicalModels::CTrainNodeCvRF, DirectGraphicalModels::CTrainEdgeConcat< Trainer, Concatenator >, DirectGraphicalModels::CTrainNodeCvANN, DirectGraphicalModels::CTrainNodeCvGMM, DirectGraphicalModels::CTrainNodeCvSVM, DirectGraphicalModels::CTrainNodeKNN, DirectGraphicalModels::CTrainNodeCvKNN, DirectGraphicalModels::CTrainNodeGMM, DirectGraphicalModels::CTrainNodeBayes, DirectGraphicalModels::CTrainTriplet, DirectGraphicalModels::CPDFHistogram2D, DirectGraphicalModels::CPrior, DirectGraphicalModels::CPDFHistogram, DirectGraphicalModels::CTrainEdgePotts, DirectGraphicalModels::CTrainEdgePrior, and DirectGraphicalModels::CPDFGaussian.

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reset()

virtual void DirectGraphicalModels::CBaseRandomModel::reset ( void  )

pure virtual

Resets class variables.

Allows to re-use the class.

Implemented in DirectGraphicalModels::CTrainNodeMsRF, DirectGraphicalModels::CTrainNodeCvRF, DirectGraphicalModels::CTrainEdgeConcat< Trainer, Concatenator >, DirectGraphicalModels::CTrainLinkNested< Trainer >, DirectGraphicalModels::CTrainNodeCvANN, DirectGraphicalModels::CTrainNodeCvGMM, DirectGraphicalModels::CTrainNodeCvSVM, DirectGraphicalModels::CTrainNodeGMM, DirectGraphicalModels::CTrainNodeKNN, DirectGraphicalModels::CTrainNodeCvKNN, DirectGraphicalModels::CTrainNodeBayes, DirectGraphicalModels::CTrainEdgePotts, DirectGraphicalModels::CTrainEdgePrior, DirectGraphicalModels::CPrior, DirectGraphicalModels::CPDFHistogram2D, DirectGraphicalModels::CPDFHistogram, DirectGraphicalModels::CTrainTriplet, and DirectGraphicalModels::CPDFGaussian.

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save()

void DirectGraphicalModels::CBaseRandomModel::save ( const std::string &  path, const std::string &  name = std::string(), short  idx = -1  ) const

virtual

Saves the training data.

Allows to re-use the class. Stores data to the file: "<path><name>_<idx>.dat".

Parameters

path	Path to the destination folder.
name	Name of data file. If empty, will be generated automatically from the class name.
idx	Index of the destination file. Negative value means no index.

Reimplemented in DirectGraphicalModels::CTrainNodeMsRF, DirectGraphicalModels::CTrainNodeCvRF, DirectGraphicalModels::CTrainEdgeConcat< Trainer, Concatenator >, DirectGraphicalModels::CTrainLinkNested< Trainer >, DirectGraphicalModels::CTrainNodeCvANN, DirectGraphicalModels::CTrainNodeCvGMM, DirectGraphicalModels::CTrainNodeCvSVM, DirectGraphicalModels::CTrainNodeKNN, and DirectGraphicalModels::CTrainNodeCvKNN.

Definition at line 7 of file BaseRandomModel.cpp.

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saveFile()

virtual void DirectGraphicalModels::CBaseRandomModel::saveFile ( FILE *  pFile ) const

protectedpure virtual

Saves the random model into the file.

Allows to re-use the class.

Parameters

pFile

Pointer to the file, opened for writing.

Implemented in DirectGraphicalModels::CTrainLinkNested< Trainer >, DirectGraphicalModels::CTrainNodeMsRF, DirectGraphicalModels::CTrainNodeCvRF, DirectGraphicalModels::CTrainEdgeConcat< Trainer, Concatenator >, DirectGraphicalModels::CTrainNodeCvANN, DirectGraphicalModels::CTrainNodeCvGMM, DirectGraphicalModels::CTrainNodeCvSVM, DirectGraphicalModels::CTrainNodeKNN, DirectGraphicalModels::CTrainNodeCvKNN, DirectGraphicalModels::CTrainNodeGMM, DirectGraphicalModels::CTrainNodeBayes, DirectGraphicalModels::CPDFHistogram2D, DirectGraphicalModels::CPrior, DirectGraphicalModels::CPDFHistogram, DirectGraphicalModels::CTrainEdgePotts, DirectGraphicalModels::CTrainEdgePrior, DirectGraphicalModels::CTrainTriplet, and DirectGraphicalModels::CPDFGaussian.

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Member Data Documentation

m_nStates

byte DirectGraphicalModels::CBaseRandomModel::m_nStates

protected

The number of states (classes)

Definition at line 87 of file BaseRandomModel.h.

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

• D:/Projects/DGM/modules/DGM/BaseRandomModel.h
• D:/Projects/DGM/modules/DGM/BaseRandomModel.cpp