#include <kl_multiclass_svm.h>

Inheritance diagram for klMulticlassSVMTrain< TYPE >:

Collaboration diagram for klMulticlassSVMTrain< TYPE >:

Public Member Functions
TYPE	RadialBasisFunctionKernel (TYPE x, TYPE y)

	klMulticlassSVMTrain (klMatrix< TYPE > trainingPoints, klVector< int > trainingClasses, unsigned int numClasses, klVector< TYPE > outlierFraction, TYPE mixingCoeff, TYPE smoThresh, TYPE sigma)

void	operator() ()

int	TakeStepNuMultiCache (int i1, int i2, int classes, double lagMults, double *kernMx, double fCache, int idxSet, double bLow, double bUp, int iLow, int *iUp, double nu, int numPoints)

int	ExamineExampleNuMultiCache (int i2, int classes, double lagMults, double *kernMx, double fCache, int idxSet, double bLow, double bUp, int iLow, int *iUp, double nu, int numPoints, double tol)

void	SMONuMultiCache (double *kernMx, int classes, double nu, double mixingCoeff, double tol, int numPoints, int numClasses, double *lagMults)

Public Member Functions inherited from klSamplePopulation< TYPE >
	klSamplePopulation ()

	klSamplePopulation (const klSamplePopulation< TYPE > &src)

	klSamplePopulation (const klMatrix< TYPE > &src)

	klSamplePopulation (unsigned int row, unsigned int col)

	klSamplePopulation (klMemMgr *mgr, unsigned int row, unsigned int col)

	klSamplePopulation (TYPE *mem, unsigned int row, unsigned int col)

	~klSamplePopulation ()

vector< string >	getDistTestNames ()

klMatrix< double >	calcDistributionTests ()

void	calcDescriptiveStats ()

klMatrix< TYPE >	covarianceMatrix ()

klMatrix< TYPE >	correlationMatrix (klMatrix< TYPE > covariance)

klMatrix< TYPE >	whiteningTransform ()

klMatrix< TYPE >	centeredData ()

TYPE	stddev (unsigned int i)

TYPE	mean (unsigned int i)

TYPE	variance (unsigned int i)

TYPE	skewness (unsigned int i)

TYPE	kurtosis (unsigned int i)

klVector< TYPE >	sampleMean ()

Public Member Functions inherited from klMatrix< TYPE >
	klMatrix (TYPE *mem, __int64 row, __int64 col, bool own=0)

	klMatrix (klMemMgr *mgr, __int64 row, __int64 col)

	klMatrix (__int64 row, __int64 col)

	klMatrix ()

	klMatrix (const klMatrix< TYPE > &src)

	klMatrix (klMatrix< TYPE > &&src)

	~klMatrix ()

klMatrix< TYPE > &	operator= (const klMatrix< TYPE > &src)

klVector< TYPE > &	operator[] (__int64 row) const

klMatrix< TYPE >	operator* (klMatrix< TYPE > a) const

klVector< TYPE >	operator* (klVector< TYPE > a) const

klMatrix< TYPE > &	operator= (TYPE c)

klMatrix< TYPE > &	operator+= (TYPE c)

klMatrix< TYPE > &	operator+= (const klMatrix< TYPE > &c)

klMatrix< TYPE > &	operator-= (const klMatrix< TYPE > &c)

klMatrix< TYPE > &	operator-= (TYPE c)

klMatrix< TYPE > &	operator*= (const klMatrix< TYPE > &a)

klMatrix< TYPE > &	operator*= (TYPE c)

klMatrix< TYPE > &	operator/= (TYPE c)

bool	operator== (const klMatrix< TYPE > &m) const

klMatrix< TYPE > &	operator/= (const klMatrix< TYPE > &c)

void	setRow (__int64 j, klVector< TYPE > r)

klMatrix< TYPE >	transpose () const

void	threshold (double low=DBL_MIN, double lowVal=DBL_MIN, double high=DBL_MAX, double highVal=DBL_MAX)

complex< double >	det ()

klMatrix< TYPE >	getSubBlock (__int64 i, __int64 j, __int64 k, __int64 l)

void	setSubBlock (klMatrix< TYPE > block, __int64 i, __int64 j)

void	setColumn (__int64 i, klVector< TYPE > v)

klMatrix< TYPE >	inverse () const

klVector< complex< double > >	eigenvalues ()

TYPE	trace ()

TYPE	ConditionNumber (bool ellone=0)

TYPE	norm (bool ell_infty=0)

klVector< TYPE >	getColumn (__int64 col)

__int64	getRows () const

__int64	getColumns () const

TYPE *	getMemory () const

klMemMgr *	getMemMgr () const

bool	isContiguous () const

klMatrix< TYPE >	columnToRowMajor ()

void	makeNanFriendly ()

size_t	precision () const

void	setup (__int64 row, __int64 col, klMemMgr *mgr=0)

klMatrix< TYPE >	upper ()

klMatrix< TYPE >	lower ()

klVector< TYPE >	diag ()

template<>
klMatrix< float >	operator* (klMatrix< float > a) const

template<>
float	norm (bool ell_infty)

template<>
float	ConditionNumber (bool ellone)

Public Member Functions inherited from klRefCount< klMutex >
	klRefCount (void)

	klRefCount (const klRefCount &obj)

	~klRefCount (void)

void	addRef (void)

bool	deleteRef (void)

klRefCount &	operator= (const klRefCount &obj)

long	useCount () const

Data Fields
klVector< TYPE >	_lagMults

klVector< TYPE >	_intercepts

klMatrix< TYPE >	_supportPoints

klVector< int >	_supportClasses

klVector< int >	_trainingClasses

klVector< TYPE >	_outlierFraction

TYPE	_mixingCoeff

unsigned int	_numClasses

TYPE	_smoThresh

double	_sigma

Data Fields inherited from klMatrix< TYPE >
vector< std::string >	_dimensionNames

Additional Inherited Members
Protected Member Functions inherited from klSamplePopulation< TYPE >
TYPE *	getMeanVector ()

TYPE *	getVarianceVector ()

TYPE *	getSkewnessVector ()

TYPE *	getKurtosisVector ()

Protected Attributes inherited from klSamplePopulation< TYPE >
TYPE *	_mean

TYPE *	_variance

TYPE *	_skewness

TYPE *	_kurtosis

bool	_statsCalculated

unsigned int	_numDistTests

Protected Attributes inherited from klMatrix< TYPE >
klVector< TYPE > *	_vectors

__int64	_own

bool	_contiguous

__int64	_row

__int64	_col

TYPE *	_memory

klMemMgr *	_mgr

string	_filename

Constructor & Destructor Documentation

template<class TYPE>

klMulticlassSVMTrain< TYPE >::klMulticlassSVMTrain	(	klMatrix< TYPE >	trainingPoints,
		klVector< int >	trainingClasses,
		unsigned int	numClasses,
		klVector< TYPE >	outlierFraction,
		TYPE	mixingCoeff,
		TYPE	smoThresh,
		TYPE	sigma
	)

inline

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Member Function Documentation

template<class TYPE>

int klMulticlassSVMTrain< TYPE >::ExamineExampleNuMultiCache	(	int	i2,
		int *	classes,
		double *	lagMults,
		double **	kernMx,
		double *	fCache,
		int *	idxSet,
		double *	bLow,
		double *	bUp,
		int *	iLow,
		int *	iUp,
		double	nu,
		int	numPoints,
		double	tol
	)

inline

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template<class TYPE>

void klMulticlassSVMTrain< TYPE >::operator() ( )

inline

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template<class TYPE>

TYPE klMulticlassSVMTrain< TYPE >::RadialBasisFunctionKernel	(	TYPE *	x,
		TYPE *	y
	)

inline

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template<class TYPE>

void klMulticlassSVMTrain< TYPE >::SMONuMultiCache	(	double **	kernMx,
		int *	classes,
		double	nu,
		double	mixingCoeff,
		double	tol,
		int	numPoints,
		int	numClasses,
		double *	lagMults
	)

inline

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template<class TYPE>

int klMulticlassSVMTrain< TYPE >::TakeStepNuMultiCache	(	int	i1,
		int	i2,
		int *	classes,
		double *	lagMults,
		double **	kernMx,
		double *	fCache,
		int *	idxSet,
		double *	bLow,
		double *	bUp,
		int *	iLow,
		int *	iUp,
		double	nu,
		int	numPoints
	)