SVM Functions

Macros
#define	EXP2F_TABLE_BITS   5
	SVM rbf prediction. More...
#define	EXP2F_POLY_ORDER   3
#define	N   (1 << EXP2F_TABLE_BITS)
#define	N   (1 << EXP2F_TABLE_BITS)
#define	InvLn2N   __exp2f_data.invln2_scaled
#define	T   __exp2f_data.tab
#define	C   __exp2f_data.poly_scaled

Functions
void	tpt_svm_linear_init_f32 (tpt_svm_linear_f32_t *aSVM, uint32_t nbOfSupportVectors, uint32_t vectorDimension, f32_t intercept, const f32_t *dualCoefficients, const f32_t *supportVectors, const int32_t *classes)
	SVM linear instance init function. More...
void	tpt_svm_linear_predict_f32 (int32_t *aResult, const tpt_svm_linear_f32_t *aSVM, const f32_t *aInData)
	SVM linear prediction. More...
void	tpt_svm_polynomial_init_f32 (tpt_svm_polynomial_f32_t *aSVM, uint32_t nbOfSupportVectors, uint32_t vectorDimension, f32_t intercept, const f32_t *dualCoefficients, const f32_t *supportVectors, const int32_t *classes, int32_t degree, f32_t coef0, f32_t gamma)
	SVM polynomial instance init function. More...
void	tpt_svm_polynomial_predict_f32 (int32_t *aResult, const tpt_svm_polynomial_f32_t *aSVM, const f32_t *aInData)
	SVM polynomial prediction. More...
void	tpt_svm_rbf_init_f32 (tpt_svm_rbf_f32_t *aSVM, uint32_t nbOfSupportVectors, uint32_t vectorDimension, f32_t intercept, const f32_t *dualCoefficients, const f32_t *supportVectors, const int32_t *classes, f32_t gamma)
	SVM radial basis function instance init function. More...
static uint32_t	top12 (f32_t x)
static f32_t	_expf_ (f32_t x)
void	tpt_svm_rbf_predict_f32 (int32_t *aResult, const tpt_svm_rbf_f32_t *aSVM, const f32_t *aInData)
	SVM rbf prediction. More...
void	tpt_svm_sigmoid_init_f32 (tpt_svm_sigmoid_f32_t *aSVM, uint32_t nbOfSupportVectors, uint32_t vectorDimension, f32_t intercept, const f32_t *dualCoefficients, const f32_t *supportVectors, const int32_t *classes, f32_t coef0, f32_t gamma)
	SVM sigmoid instance init function. More...
void	tpt_svm_sigmoid_predict_f32 (int32_t *aResult, const tpt_svm_sigmoid_f32_t *aSVM, const f32_t *aInData)
	SVM sigmoid prediction. More...

Detailed Description

This set of functions is implementing SVM classification on 2 classes. The training must be done from scikit-learn. The parameters can be easily generated from the scikit-learn object.

If more than 2 classes are needed, the functions in this folder will have to be used, as building blocks, to do multi-class classification.

No multi-class classification is provided in this SVM folder.

Macro Definition Documentation

C

#define C   __exp2f_data.poly_scaled

EXP2F_POLY_ORDER

#define EXP2F_POLY_ORDER   3

EXP2F_TABLE_BITS

#define EXP2F_TABLE_BITS   5

SVM rbf prediction.

Parameters

[out]	aResult	decision value
[in]	aSVM	Pointer to an instance of the rbf SVM structure.
[in]	aInData	Pointer to input vector

Returns

none.

InvLn2N

#define InvLn2N   __exp2f_data.invln2_scaled

N [1/2]

#define N   (1 << EXP2F_TABLE_BITS)

N [2/2]

#define N   (1 << EXP2F_TABLE_BITS)

T

#define T   __exp2f_data.tab

Function Documentation

_expf_()

static f32_t _expf_ ( f32_t  x )

inlinestatic

top12()

static uint32_t top12 ( f32_t  x )

inlinestatic

tpt_svm_linear_init_f32()

void tpt_svm_linear_init_f32	(	tpt_svm_linear_f32_t *	aSVM,
		uint32_t	nbOfSupportVectors,
		uint32_t	vectorDimension,
		f32_t	intercept,
		const f32_t *	dualCoefficients,
		const f32_t *	supportVectors,
		const int32_t *	classes
	)

SVM linear instance init function.

Classes are integer used as output of the function (instead of having -1, 1 as class values).

Parameters

[in]	aSVM	Pointer to an instance of the linear SVM structure.
[in]	nbOfSupportVectors	Number of support vectors
[in]	vectorDimension	Dimension of vector space
[in]	intercept	Intercept
[in]	dualCoefficients	Array of dual coefficients
[in]	supportVectors	Array of support vectors
[in]	classes	Array of 2 classes ID

Returns

none.

tpt_svm_linear_predict_f32()

void tpt_svm_linear_predict_f32	(	int32_t *	aResult,
		const tpt_svm_linear_f32_t *	aSVM,
		const f32_t *	aInData
	)

SVM linear prediction.

Parameters

[out]	aResult	Decision value
[in]	aSVM	Pointer to an instance of the linear SVM structure.
[in]	aInData	Pointer to input vector

Returns

none.

tpt_svm_polynomial_init_f32()

void tpt_svm_polynomial_init_f32	(	tpt_svm_polynomial_f32_t *	aSVM,
		uint32_t	nbOfSupportVectors,
		uint32_t	vectorDimension,
		f32_t	intercept,
		const f32_t *	dualCoefficients,
		const f32_t *	supportVectors,
		const int32_t *	classes,
		int32_t	degree,
		f32_t	coef0,
		f32_t	gamma
	)

SVM polynomial instance init function.

Classes are integer used as output of the function (instead of having -1, 1 as class values).

Parameters

[in]	aSVM	points to an instance of the polynomial SVM structure.
[in]	nbOfSupportVectors	Number of support vectors
[in]	vectorDimension	Dimension of vector space
[in]	intercept	Intercept
[in]	dualCoefficients	Array of dual coefficients
[in]	supportVectors	Array of support vectors
[in]	classes	Array of 2 classes ID
[in]	degree	Polynomial degree
[in]	coef0	coeff0 (scikit-learn terminology)
[in]	gamma	gamma (scikit-learn terminology)

Returns

none.

tpt_svm_polynomial_predict_f32()

void tpt_svm_polynomial_predict_f32	(	int32_t *	aResult,
		const tpt_svm_polynomial_f32_t *	aSVM,
		const f32_t *	aInData
	)

SVM polynomial prediction.

Parameters

[out]	aResult	Decision value
[in]	aSVM	Pointer to an instance of the polynomial SVM structure.
[in]	aInData	Pointer to input vector

Returns

none.

tpt_svm_rbf_init_f32()

void tpt_svm_rbf_init_f32	(	tpt_svm_rbf_f32_t *	aSVM,
		uint32_t	nbOfSupportVectors,
		uint32_t	vectorDimension,
		f32_t	intercept,
		const f32_t *	dualCoefficients,
		const f32_t *	supportVectors,
		const int32_t *	classes,
		f32_t	gamma
	)

SVM radial basis function instance init function.

Classes are integer used as output of the function (instead of having -1, 1 as class values).

Parameters

[in]	aSVM	points to an instance of the rbf SVM structure.
[in]	nbOfSupportVectors	Number of support vectors
[in]	vectorDimension	Dimension of vector space
[in]	intercept	Intercept
[in]	dualCoefficients	Array of dual coefficients
[in]	supportVectors	Array of support vectors
[in]	classes	Array of 2 classes ID
[in]	gamma	gamma (scikit-learn terminology)

Returns

none.

tpt_svm_rbf_predict_f32()

void tpt_svm_rbf_predict_f32	(	int32_t *	aResult,
		const tpt_svm_rbf_f32_t *	aSVM,
		const f32_t *	aInData
	)

SVM rbf prediction.

Parameters

[out]	aResult	decision value
[in]	aSVM	Pointer to an instance of the rbf SVM structure.
[in]	aInData	Pointer to input vector

Returns

none.

tpt_svm_sigmoid_init_f32()

void tpt_svm_sigmoid_init_f32	(	tpt_svm_sigmoid_f32_t *	aSVM,
		uint32_t	nbOfSupportVectors,
		uint32_t	vectorDimension,
		f32_t	intercept,
		const f32_t *	dualCoefficients,
		const f32_t *	supportVectors,
		const int32_t *	classes,
		f32_t	coef0,
		f32_t	gamma
	)

SVM sigmoid instance init function.

Classes are integer used as output of the function (instead of having -1, 1 as class values).

Parameters

[in]	aSVM	points to an instance of the sigmoid SVM structure.
[in]	nbOfSupportVectors	Number of support vectors
[in]	vectorDimension	Dimension of vector space
[in]	intercept	Intercept
[in]	dualCoefficients	Array of dual coefficients
[in]	supportVectors	Array of support vectors
[in]	classes	Array of 2 classes ID
[in]	coef0	coeff0 (scikit-learn terminology)
[in]	gamma	gamma (scikit-learn terminology)

Returns

none.

tpt_svm_sigmoid_predict_f32()

void tpt_svm_sigmoid_predict_f32	(	int32_t *	aResult,
		const tpt_svm_sigmoid_f32_t *	aSVM,
		const f32_t *	aInData
	)

SVM sigmoid prediction.

Parameters

[out]	aResult	Decision value
[in]	aSVM	Pointer to an instance of the sigmoid SVM structure.
[in]	aInData	Pointer to input vector

Returns

none.