CMSIS-DSP  
CMSIS DSP Software Library
Linear SVM

Functions

void arm_svm_linear_init_f16 (arm_svm_linear_instance_f16 *S, uint32_t nbOfSupportVectors, uint32_t vectorDimension, float16_t intercept, const float16_t *dualCoefficients, const float16_t *supportVectors, const int32_t *classes)
 SVM linear instance init function. More...
 
void arm_svm_linear_init_f32 (arm_svm_linear_instance_f32 *S, uint32_t nbOfSupportVectors, uint32_t vectorDimension, float32_t intercept, const float32_t *dualCoefficients, const float32_t *supportVectors, const int32_t *classes)
 SVM linear instance init function. More...
 
void arm_svm_linear_predict_f16 (const arm_svm_linear_instance_f16 *S, const float16_t *in, int32_t *pResult)
 SVM linear prediction. More...
 
void arm_svm_linear_predict_f32 (const arm_svm_linear_instance_f32 *S, const float32_t *in, int32_t *pResult)
 SVM linear prediction. More...
 

Description

Linear SVM classifier

Function Documentation

◆ arm_svm_linear_init_f16()

void arm_svm_linear_init_f16 ( arm_svm_linear_instance_f16 S,
uint32_t  nbOfSupportVectors,
uint32_t  vectorDimension,
float16_t  intercept,
const float16_t *  dualCoefficients,
const float16_t *  supportVectors,
const int32_t *  classes 
)

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

Parameters
[in]SParameters for the SVM function
[in]nbOfSupportVectorsNumber of support vectors
[in]vectorDimensionDimension of vector space
[in]interceptIntercept
[in]dualCoefficientsArray of dual coefficients
[in]supportVectorsArray of support vectors
[in]classesArray of 2 classes ID
Returns
none.

◆ arm_svm_linear_init_f32()

void arm_svm_linear_init_f32 ( arm_svm_linear_instance_f32 S,
uint32_t  nbOfSupportVectors,
uint32_t  vectorDimension,
float32_t  intercept,
const float32_t dualCoefficients,
const float32_t supportVectors,
const int32_t *  classes 
)

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

Parameters
[in]SParameters for the SVM function
[in]nbOfSupportVectorsNumber of support vectors
[in]vectorDimensionDimension of vector space
[in]interceptIntercept
[in]dualCoefficientsArray of dual coefficients
[in]supportVectorsArray of support vectors
[in]classesArray of 2 classes ID
Returns
none.

◆ arm_svm_linear_predict_f16()

void arm_svm_linear_predict_f16 ( const arm_svm_linear_instance_f16 S,
const float16_t *  in,
int32_t *  pResult 
)
Parameters
[in]SPointer to an instance of the linear SVM structure.
[in]inPointer to input vector
[out]pResultDecision value
Returns
none.

◆ arm_svm_linear_predict_f32()

void arm_svm_linear_predict_f32 ( const arm_svm_linear_instance_f32 S,
const float32_t in,
int32_t *  pResult 
)
Parameters
[in]SPointer to an instance of the linear SVM structure.
[in]inPointer to input vector
[out]pResultDecision value
Returns
none.