|
Lines 1267-1272
public:
Link Here
|
| 1267 |
int start, j; |
1267 |
int start, j; |
| 1268 |
if((start = cache->get_data(i,&data,len)) < len) |
1268 |
if((start = cache->get_data(i,&data,len)) < len) |
| 1269 |
{ |
1269 |
{ |
|
|
1270 |
#ifdef OPENMP |
| 1271 |
#pragma omp parallel for private(j) |
| 1272 |
#endif |
| 1270 |
for(j=start;j<len;j++) |
1273 |
for(j=start;j<len;j++) |
| 1271 |
data[j] = (Qfloat)(y[i]*y[j]*(this->*kernel_function)(i,j)); |
1274 |
data[j] = (Qfloat)(y[i]*y[j]*(this->*kernel_function)(i,j)); |
| 1272 |
} |
1275 |
} |
|
Lines 2445-2452
double svm_predict_values(const svm_mode
Link Here
|
| 2445 |
model->param.svm_type == NU_SVR) |
2448 |
model->param.svm_type == NU_SVR) |
| 2446 |
{ |
2449 |
{ |
| 2447 |
double *sv_coef = model->sv_coef[0]; |
2450 |
double *sv_coef = model->sv_coef[0]; |
| 2448 |
double sum = 0; |
2451 |
double sum = 0; int i; |
| 2449 |
for(int i=0;i<model->l;i++) |
2452 |
#ifdef OPENMP |
|
|
2453 |
#pragma omp parallel for private(i) reduction(+:sum) |
| 2454 |
#endif |
| 2455 |
for(i=0;i<model->l;i++) |
| 2450 |
sum += sv_coef[i] * Kernel::k_function(x,model->SV[i],model->param); |
2456 |
sum += sv_coef[i] * Kernel::k_function(x,model->SV[i],model->param); |
| 2451 |
sum -= model->rho[0]; |
2457 |
sum -= model->rho[0]; |
| 2452 |
*dec_values = sum; |
2458 |
*dec_values = sum; |
|
Lines 2463-2468
double svm_predict_values(const svm_mode
Link Here
|
| 2463 |
int l = model->l; |
2469 |
int l = model->l; |
| 2464 |
|
2470 |
|
| 2465 |
double *kvalue = Malloc(double,l); |
2471 |
double *kvalue = Malloc(double,l); |
|
|
2472 |
#ifdef OPENMP |
| 2473 |
#pragma omp parallel for private(i) |
| 2474 |
#endif |
| 2466 |
for(i=0;i<l;i++) |
2475 |
for(i=0;i<l;i++) |
| 2467 |
kvalue[i] = Kernel::k_function(x,model->SV[i],model->param); |
2476 |
kvalue[i] = Kernel::k_function(x,model->SV[i],model->param); |
| 2468 |
|
2477 |
|
