#include <mat_tools.h>

Public Member Functions
	CSG_Classifier_Supervised (void)

virtual	~CSG_Classifier_Supervised (void)

void	Create (int nFeatures)

void	Destroy (void)

bool	Load (const CSG_String &File)

bool	Save (const CSG_String &File, const SG_Char *Feature_Info=NULL)

bool	Train_Clr_Samples (void)

bool	Train_Add_Sample (const CSG_String &Class_ID, const CSG_Vector &Features)

bool	Train (bool bClr_Samples=false)

bool	Add_Class (const CSG_String &Class_ID, const CSG_Vector &Mean, const CSG_Vector &Min, const CSG_Vector &Max, const CSG_Matrix &Cov)

CSG_String	Print (void)

int	Get_Feature_Count (void)

int	Get_Class_Count (void)

const CSG_String &	Get_Class_ID (int iClass)

double	Get_Class_Mean (int iClass, int iFeature)

double	Get_Class_Minimum (int iClass, int iFeature)

double	Get_Class_Maximum (int iClass, int iFeature)

int	Get_Class (const CSG_String &Class_ID)

bool	Get_Class (const CSG_Vector &Features, int &Class, double &Quality, int Method)

void	Set_Threshold_Distance (double Value)

double	Get_Threshold_Distance (void)

void	Set_Threshold_Angle (double Value)

double	Get_Threshold_Angle (void)

void	Set_Threshold_Probability (double Value)

double	Get_Threshold_Probability (void)

void	Set_Probability_Relative (bool Value)

bool	Get_Probability_Relative (void)

void	Set_WTA (int Method, bool bOn)

bool	Get_WTA (int Method)

Static Public Member Functions
static CSG_String	Get_Name_of_Method (int Method)

static CSG_String	Get_Name_of_Quality (int Method)

Detailed Description

Definition at line 1221 of file mat_tools.h.

Constructor & Destructor Documentation

◆ CSG_Classifier_Supervised()

CSG_Classifier_Supervised::CSG_Classifier_Supervised ( void )

Definition at line 2359 of file mat_tools.cpp.

References SG_CLASSIFY_SUPERVISED_MaximumLikelihood, SG_CLASSIFY_SUPERVISED_MinimumDistance, SG_CLASSIFY_SUPERVISED_SAM, and SG_CLASSIFY_SUPERVISED_WTA.

◆ ~CSG_Classifier_Supervised()

CSG_Classifier_Supervised::~CSG_Classifier_Supervised ( void )

virtual

Definition at line 2381 of file mat_tools.cpp.

References Destroy().

Member Function Documentation

◆ Add_Class()

bool CSG_Classifier_Supervised::Add_Class	(	const CSG_String &	Class_ID,
		const CSG_Vector &	Mean,
		const CSG_Vector &	Min,
		const CSG_Vector &	Max,
		const CSG_Matrix &	Cov
	)

Definition at line 2602 of file mat_tools.cpp.

References CSG_Matrix::Get_Determinant(), CSG_Matrix::Get_Inverse(), CSG_Simple_Statistics::Get_Mean(), CSG_Vector::Get_N(), CSG_Matrix::Get_NCols(), CSG_Matrix::Get_NRows(), and SG_Realloc().

◆ Create()

void CSG_Classifier_Supervised::Create ( int nFeatures )

Definition at line 2387 of file mat_tools.cpp.

References Destroy().

◆ Destroy()

void CSG_Classifier_Supervised::Destroy ( void )

Definition at line 2398 of file mat_tools.cpp.

References CSG_String::Clear(), and SG_FREE_SAFE.

Referenced by Create(), Load(), and ~CSG_Classifier_Supervised().

◆ Get_Class() [1/2]

int CSG_Classifier_Supervised::Get_Class ( const CSG_String & Class_ID )

Definition at line 2775 of file mat_tools.cpp.

References CSG_String::Cmp(), Get_Class_Count(), and Get_Class_ID().

Referenced by Train_Add_Sample().

◆ Get_Class() [2/2]

bool CSG_Classifier_Supervised::Get_Class	(	const CSG_Vector &	Features,
		int &	Class,
		double &	Quality,
		int	Method
	)

Definition at line 2792 of file mat_tools.cpp.

References Get_Feature_Count(), CSG_Vector::Get_N(), SG_CLASSIFY_SUPERVISED_BinaryEncoding, SG_CLASSIFY_SUPERVISED_Mahalonobis, SG_CLASSIFY_SUPERVISED_MaximumLikelihood, SG_CLASSIFY_SUPERVISED_MinimumDistance, SG_CLASSIFY_SUPERVISED_ParallelEpiped, SG_CLASSIFY_SUPERVISED_SAM, SG_CLASSIFY_SUPERVISED_SID, and SG_CLASSIFY_SUPERVISED_WTA.

◆ Get_Class_Count()

int CSG_Classifier_Supervised::Get_Class_Count ( void )

inline

Definition at line 1244 of file mat_tools.h.

Referenced by Get_Class().

◆ Get_Class_ID()

const CSG_String& CSG_Classifier_Supervised::Get_Class_ID ( int iClass )

inline

Definition at line 1246 of file mat_tools.h.

Referenced by Get_Class().

◆ Get_Class_Maximum()

double CSG_Classifier_Supervised::Get_Class_Maximum	(	int	iClass,
		int	iFeature
	)

inline

Definition at line 1249 of file mat_tools.h.

◆ Get_Class_Mean()

double CSG_Classifier_Supervised::Get_Class_Mean	(	int	iClass,
		int	iFeature
	)

inline

Definition at line 1247 of file mat_tools.h.

◆ Get_Class_Minimum()

double CSG_Classifier_Supervised::Get_Class_Minimum	(	int	iClass,
		int	iFeature
	)

inline

Definition at line 1248 of file mat_tools.h.

◆ Get_Feature_Count()

int CSG_Classifier_Supervised::Get_Feature_Count ( void )

inline

Definition at line 1242 of file mat_tools.h.

Referenced by Get_Class().

◆ Get_Name_of_Method()

CSG_String CSG_Classifier_Supervised::Get_Name_of_Method ( int Method )

static

Definition at line 2823 of file mat_tools.cpp.

References _TL, SG_CLASSIFY_SUPERVISED_BinaryEncoding, SG_CLASSIFY_SUPERVISED_Mahalonobis, SG_CLASSIFY_SUPERVISED_MaximumLikelihood, SG_CLASSIFY_SUPERVISED_MinimumDistance, SG_CLASSIFY_SUPERVISED_ParallelEpiped, SG_CLASSIFY_SUPERVISED_SAM, SG_CLASSIFY_SUPERVISED_SID, SG_CLASSIFY_SUPERVISED_SVM, SG_CLASSIFY_SUPERVISED_WTA, and SG_T.

◆ Get_Name_of_Quality()

CSG_String CSG_Classifier_Supervised::Get_Name_of_Quality ( int Method )

static

Definition at line 2842 of file mat_tools.cpp.

References _TL, SG_CLASSIFY_SUPERVISED_BinaryEncoding, SG_CLASSIFY_SUPERVISED_Mahalonobis, SG_CLASSIFY_SUPERVISED_MaximumLikelihood, SG_CLASSIFY_SUPERVISED_MinimumDistance, SG_CLASSIFY_SUPERVISED_ParallelEpiped, SG_CLASSIFY_SUPERVISED_SAM, SG_CLASSIFY_SUPERVISED_SID, SG_CLASSIFY_SUPERVISED_SVM, SG_CLASSIFY_SUPERVISED_WTA, and SG_T.

◆ Get_Probability_Relative()

bool CSG_Classifier_Supervised::Get_Probability_Relative ( void )

Definition at line 2434 of file mat_tools.cpp.

◆ Get_Threshold_Angle()

double CSG_Classifier_Supervised::Get_Threshold_Angle ( void )

Definition at line 2426 of file mat_tools.cpp.

◆ Get_Threshold_Distance()

double CSG_Classifier_Supervised::Get_Threshold_Distance ( void )

Definition at line 2422 of file mat_tools.cpp.

◆ Get_Threshold_Probability()

double CSG_Classifier_Supervised::Get_Threshold_Probability ( void )

Definition at line 2430 of file mat_tools.cpp.

◆ Get_WTA()

bool CSG_Classifier_Supervised::Get_WTA ( int Method )

Definition at line 2445 of file mat_tools.cpp.

References SG_CLASSIFY_SUPERVISED_WTA.

◆ Load()

bool CSG_Classifier_Supervised::Load ( const CSG_String & File )

Definition at line 2459 of file mat_tools.cpp.

References CSG_MetaData::Cmp_Name(), Destroy(), CSG_MetaData::Get_Child(), CSG_MetaData::Get_Children_Count(), CSG_MetaData::Get_Content(), CSG_Simple_Statistics::Get_Mean(), CSG_MetaData::Get_Property(), CSG_MetaData::Load(), SG_Compare_Version(), and SG_Realloc().

◆ Print()

CSG_String CSG_Classifier_Supervised::Print ( void )

Definition at line 2566 of file mat_tools.cpp.

References CSG_String::Format(), and SG_Get_String().

◆ Save()

bool CSG_Classifier_Supervised::Save	(	const CSG_String &	File,
		const SG_Char *	Feature_Info = `NULL`
	)

Definition at line 2519 of file mat_tools.cpp.

References CSG_MetaData::Add_Child(), CSG_MetaData::Add_Property(), CSG_String::is_Empty(), SAGA_VERSION, CSG_MetaData::Save(), and CSG_MetaData::Set_Name().

◆ Set_Probability_Relative()

void CSG_Classifier_Supervised::Set_Probability_Relative ( bool Value )

Definition at line 2433 of file mat_tools.cpp.

◆ Set_Threshold_Angle()

void CSG_Classifier_Supervised::Set_Threshold_Angle ( double Value )

Definition at line 2425 of file mat_tools.cpp.

◆ Set_Threshold_Distance()

void CSG_Classifier_Supervised::Set_Threshold_Distance ( double Value )

Definition at line 2421 of file mat_tools.cpp.

◆ Set_Threshold_Probability()

void CSG_Classifier_Supervised::Set_Threshold_Probability ( double Value )

Definition at line 2429 of file mat_tools.cpp.

◆ Set_WTA()

void CSG_Classifier_Supervised::Set_WTA	(	int	Method,
		bool	bOn
	)

Definition at line 2437 of file mat_tools.cpp.

References SG_CLASSIFY_SUPERVISED_WTA.

◆ Train()

bool CSG_Classifier_Supervised::Train ( bool bClr_Samples = false )

Definition at line 2680 of file mat_tools.cpp.

References Train_Clr_Samples().

◆ Train_Add_Sample()

bool CSG_Classifier_Supervised::Train_Add_Sample	(	const CSG_String &	Class_ID,
		const CSG_Vector &	Features
	)

Definition at line 2652 of file mat_tools.cpp.

References Get_Class(), CSG_Vector::Get_N(), and SG_Realloc().

◆ Train_Clr_Samples()

bool CSG_Classifier_Supervised::Train_Clr_Samples ( void )

Definition at line 2641 of file mat_tools.cpp.

Referenced by Train().

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

Public Member Functions

Static Public Member Functions

Detailed Description

Constructor & Destructor Documentation

◆ CSG_Classifier_Supervised()

◆ ~CSG_Classifier_Supervised()

Member Function Documentation

◆ Add_Class()

◆ Create()

◆ Destroy()

◆ Get_Class() [1/2]

◆ Get_Class() [2/2]

◆ Get_Class_Count()

◆ Get_Class_ID()

◆ Get_Class_Maximum()

◆ Get_Class_Mean()

◆ Get_Class_Minimum()

◆ Get_Feature_Count()

◆ Get_Name_of_Method()

◆ Get_Name_of_Quality()

◆ Get_Probability_Relative()

◆ Get_Threshold_Angle()

◆ Get_Threshold_Distance()

◆ Get_Threshold_Probability()

◆ Get_WTA()

◆ Load()

◆ Print()

◆ Save()

◆ Set_Probability_Relative()

◆ Set_Threshold_Angle()

◆ Set_Threshold_Distance()

◆ Set_Threshold_Probability()

◆ Set_WTA()

◆ Train()

◆ Train_Add_Sample()

◆ Train_Clr_Samples()