Linear SVM Functions

Collaboration diagram for Linear SVM Functions:

Data Structures
struct	tpt_svm_linear_f32_s
	Instance structure for linear SVM prediction function. More...
struct	tpt_svm_polynomial_f32_s
	Instance structure for polynomial SVM prediction function. More...
struct	tpt_svm_rbf_f32_s
	Instance structure for rbf SVM prediction function. More...
struct	tpt_svm_sigmoid_f32_s
	Instance structure for sigmoid SVM prediction function. More...

Typedefs
typedef struct tpt_svm_linear_f32_s	tpt_svm_linear_f32_t
	Instance structure for linear SVM prediction function.
typedef struct tpt_svm_polynomial_f32_s	tpt_svm_polynomial_f32_t
	Instance structure for polynomial SVM prediction function.
typedef struct tpt_svm_rbf_f32_s	tpt_svm_rbf_f32_t
	Instance structure for rbf SVM prediction function.
typedef struct tpt_svm_sigmoid_f32_s	tpt_svm_sigmoid_f32_t
	Instance structure for sigmoid SVM prediction function.

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.
void	tpt_svm_linear_predict_f32 (int32_t *aResult, const tpt_svm_linear_f32_t *aSVM, const f32_t *aInData)
	SVM linear prediction.

Detailed Description

Linear kernel SVM initialization and prediction helpers.

Typedef Documentation

tpt_svm_linear_f32_t

typedef struct tpt_svm_linear_f32_s tpt_svm_linear_f32_t

Instance structure for linear SVM prediction function.

tpt_svm_polynomial_f32_t

typedef struct tpt_svm_polynomial_f32_s tpt_svm_polynomial_f32_t

Instance structure for polynomial SVM prediction function.

tpt_svm_rbf_f32_t

typedef struct tpt_svm_rbf_f32_s tpt_svm_rbf_f32_t

Instance structure for rbf SVM prediction function.

tpt_svm_sigmoid_f32_t

typedef struct tpt_svm_sigmoid_f32_s tpt_svm_sigmoid_f32_t

Instance structure for sigmoid SVM prediction function.

Function Documentation

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	Parameters for the SVM function
[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.

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.

Parameters

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

Returns

none.