Sigmoid SVM

Functions
void	arm_svm_sigmoid_init_f16 (arm_svm_sigmoid_instance_f16 *S, uint32_t nbOfSupportVectors, uint32_t vectorDimension, float16_t intercept, const float16_t *dualCoefficients, const float16_t *supportVectors, const int32_t *classes, float16_t coef0, float16_t gamma)
	SVM sigmoid instance init function. More...
void	arm_svm_sigmoid_init_f32 (arm_svm_sigmoid_instance_f32 *S, uint32_t nbOfSupportVectors, uint32_t vectorDimension, float32_t intercept, const float32_t *dualCoefficients, const float32_t *supportVectors, const int32_t *classes, float32_t coef0, float32_t gamma)
	SVM sigmoid instance init function. More...
void	arm_svm_sigmoid_predict_f16 (const arm_svm_sigmoid_instance_f16 *S, const float16_t *in, int32_t *pResult)
	SVM sigmoid prediction. More...
void	arm_svm_sigmoid_predict_f32 (const arm_svm_sigmoid_instance_f32 *S, const float32_t *in, int32_t *pResult)
	SVM sigmoid prediction. More...

Description

Sigmoid SVM classifier

Function Documentation

arm_svm_sigmoid_init_f16()

void arm_svm_sigmoid_init_f16	(	arm_svm_sigmoid_instance_f16 *	S,
		uint32_t	nbOfSupportVectors,
		uint32_t	vectorDimension,
		float16_t	intercept,
		const float16_t *	dualCoefficients,
		const float16_t *	supportVectors,
		const int32_t *	classes,
		float16_t	coef0,
		float16_t	gamma
	)

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

Parameters

[in]	S	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]	coef0	coeff0 (scikit-learn terminology)
[in]	gamma	gamma (scikit-learn terminology)

Returns

none.

arm_svm_sigmoid_init_f32()

void arm_svm_sigmoid_init_f32	(	arm_svm_sigmoid_instance_f32 *	S,
		uint32_t	nbOfSupportVectors,
		uint32_t	vectorDimension,
		float32_t	intercept,
		const float32_t *	dualCoefficients,
		const float32_t *	supportVectors,
		const int32_t *	classes,
		float32_t	coef0,
		float32_t	gamma
	)

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

Parameters

[in]	S	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]	coef0	coeff0 (scikit-learn terminology)
[in]	gamma	gamma (scikit-learn terminology)

Returns

none.

arm_svm_sigmoid_predict_f16()

void arm_svm_sigmoid_predict_f16	(	const arm_svm_sigmoid_instance_f16 *	S,
		const float16_t *	in,
		int32_t *	pResult
	)

Parameters

[in]	S	Pointer to an instance of the rbf SVM structure.
[in]	in	Pointer to input vector
[out]	pResult	Decision value

Returns

none.

arm_svm_sigmoid_predict_f32()

void arm_svm_sigmoid_predict_f32	(	const arm_svm_sigmoid_instance_f32 *	S,
		const float32_t *	in,
		int32_t *	pResult
	)

Parameters

[in]	S	Pointer to an instance of the rbf SVM structure.
[in]	in	Pointer to input vector
[out]	pResult	Decision value

Returns

none.