Impala Documentation

decision_function svm_train_one	(	const svm_problem *	prob,
		const svm_parameter *	param,
		double	Cp,
		double	Cn
	)

Definition at line 1459 of file svm.cpp.

References C_SVC, EPSILON_SVR, info(), svm_problem::l, Malloc, NU_SVC, NU_SVR, Solver::SolutionInfo::obj, ONE_CLASS, Solver::SolutionInfo::rho, solve_c_svc(), solve_epsilon_svr(), solve_nu_svc(), solve_nu_svr(), solve_one_class(), svm_parameter::svm_type, Solver::SolutionInfo::upper_bound_n, Solver::SolutionInfo::upper_bound_p, and svm_problem::y.

Referenced by svm_train().

01462 {
01463         double *alpha = Malloc(double,prob->l);
01464         Solver::SolutionInfo si;
01465         switch(param->svm_type)
01466         {
01467                 case C_SVC:
01468                         solve_c_svc(prob,param,alpha,&si,Cp,Cn);
01469                         break;
01470                 case NU_SVC:
01471                         solve_nu_svc(prob,param,alpha,&si);
01472                         break;
01473                 case ONE_CLASS:
01474                         solve_one_class(prob,param,alpha,&si);
01475                         break;
01476                 case EPSILON_SVR:
01477                         solve_epsilon_svr(prob,param,alpha,&si);
01478                         break;
01479                 case NU_SVR:
01480                         solve_nu_svr(prob,param,alpha,&si);
01481                         break;
01482         }
01483 
01484         info("obj = %f, rho = %f\n",si.obj,si.rho);
01485 
01486         // output SVs
01487 
01488         int nSV = 0;
01489         int nBSV = 0;
01490         for(int i=0;i<prob->l;i++)
01491         {
01492                 if(fabs(alpha[i]) > 0)
01493                 {
01494                         ++nSV;
01495                         if(prob->y[i] > 0)
01496                         {
01497                                 if(fabs(alpha[i]) >= si.upper_bound_p)
01498                                         ++nBSV;
01499                         }
01500                         else
01501                         {
01502                                 if(fabs(alpha[i]) >= si.upper_bound_n)
01503                                         ++nBSV;
01504                         }
01505                 }
01506         }
01507 
01508         info("nSV = %d, nBSV = %d\n",nSV,nBSV);
01509 
01510         decision_function f;
01511         f.alpha = alpha;
01512         f.rho = si.rho;
01513         return f;
01514 }

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