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Support Vector Machine's functions. More...

Functions

SIMD_API void SimdSvmSumLinear (const float *x, const float *svs, const float *weights, size_t length, size_t count, float *sum)
 It is a part of linear SVM (Support Vector Machine) prediction algorithm. More...
 

Detailed Description

Support Vector Machine's functions.

Function Documentation

void SimdSvmSumLinear ( const float *  x,
const float *  svs,
const float *  weights,
size_t  length,
size_t  count,
float *  sum 
)

It is a part of linear SVM (Support Vector Machine) prediction algorithm.

Algorithm's details:

sum = 0;
for(i = 0; i < count; ++i)
    for(j = 0; j < length; ++j)
        sum += x[j]*svs[j][i]*weight[i];
Note
The array with support vectors must has following structure: svs[length][count].
Parameters
[in]x- a vector of features which need to predict with using SVM.
[in]svs- an array with support vectors.
[in]weights- a weight coefficient of each support vector.
[in]length- a length of these current and support vectors.
[in]count- a count of support vectors.
[out]sum- a pointer to result sum.