Definition at line 2209 of file svm.cpp.
References EPSILON_SVR, Kernel::k_function(), svm_model::l, Malloc, svm_model::nr_class, svm_model::nSV, NU_SVR, ONE_CLASS, svm_model::param, svm_model::rho, svm_model::SV, svm_model::sv_coef, and svm_parameter::svm_type.
Referenced by svm_binary_svc_probability(), svm_predict(), and svm_predict_probability().
02210 { 02211 if(model->param.svm_type == ONE_CLASS || 02212 model->param.svm_type == EPSILON_SVR || 02213 model->param.svm_type == NU_SVR) 02214 { 02215 double *sv_coef = model->sv_coef[0]; 02216 double sum = 0; 02217 for(int i=0;i<model->l;i++) 02218 sum += sv_coef[i] * Kernel::k_function(x,model->SV[i],model->param); 02219 sum -= model->rho[0]; 02220 *dec_values = sum; 02221 } 02222 else 02223 { 02224 int i; 02225 int nr_class = model->nr_class; 02226 int l = model->l; 02227 02228 double *kvalue = Malloc(double,l); 02229 for(i=0;i<l;i++) 02230 kvalue[i] = Kernel::k_function(x,model->SV[i],model->param); 02231 02232 int *start = Malloc(int,nr_class); 02233 start[0] = 0; 02234 for(i=1;i<nr_class;i++) 02235 start[i] = start[i-1]+model->nSV[i-1]; 02236 02237 int p=0; 02238 int pos=0; 02239 for(i=0;i<nr_class;i++) 02240 for(int j=i+1;j<nr_class;j++) 02241 { 02242 double sum = 0; 02243 int si = start[i]; 02244 int sj = start[j]; 02245 int ci = model->nSV[i]; 02246 int cj = model->nSV[j]; 02247 02248 int k; 02249 double *coef1 = model->sv_coef[j-1]; 02250 double *coef2 = model->sv_coef[i]; 02251 for(k=0;k<ci;k++) 02252 sum += coef1[si+k] * kvalue[si+k]; 02253 for(k=0;k<cj;k++) 02254 sum += coef2[sj+k] * kvalue[sj+k]; 02255 sum -= model->rho[p++]; 02256 dec_values[pos++] = sum; 02257 } 02258 02259 free(kvalue); 02260 free(start); 02261 } 02262 }
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