RBF SVM

void riscv_svm_rbf_init_f16(riscv_svm_rbf_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 gamma)

void riscv_svm_rbf_init_f32(riscv_svm_rbf_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 gamma)

void riscv_svm_rbf_predict_f16(const riscv_svm_rbf_instance_f16 *S, const float16_t *in, int32_t *pResult)

void riscv_svm_rbf_predict_f32(const riscv_svm_rbf_instance_f32 *S, const float32_t *in, int32_t *pResult)

group rbfsvm

RBF SVM classifier.

Functions

void riscv_svm_rbf_init_f16(riscv_svm_rbf_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 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

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

Returns

none.

void riscv_svm_rbf_init_f32(riscv_svm_rbf_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 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

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

Returns

none.

void riscv_svm_rbf_predict_f16(const riscv_svm_rbf_instance_f16 *S, const float16_t *in, int32_t *pResult)

SVM rbf prediction.

Parameters

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

Returns

none.

void riscv_svm_rbf_predict_f32(const riscv_svm_rbf_instance_f32 *S, const float32_t *in, int32_t *pResult)

SVM rbf prediction.

Parameters

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

Returns

none.