Class GMNPSVM implements a one vs. rest MultiClass SVM.
It uses CGMNPLib for training (in true multiclass-SVM fashion).

公有成员 | |
| CGMNPSVM () | |
| CGMNPSVM (float64_t C, CKernel *k, CLabels *lab) | |
| virtual | ~CGMNPSVM () |
| virtual bool | train (CFeatures *data=NULL) |
| virtual EClassifierType | get_classifier_type () |
| void | getbasealphas (::std::vector< ::std::vector< float64_t > > &basealphas) |
| virtual const char * | get_name () const |
保护属性 | |
| ::std::vector< ::std::vector < float64_t > > | m_basealphas |
| CGMNPSVM | ( | ) |
default constructor
在文件GMNPSVM.cpp第23行定义。
| ~CGMNPSVM | ( | ) | [virtual] |
default destructor
在文件GMNPSVM.cpp第33行定义。
| virtual EClassifierType get_classifier_type | ( | ) | [virtual] |
| void getbasealphas | ( | ::std::vector< ::std::vector< float64_t > > & | basealphas | ) |
required for CMKLMulticlass constraint computation
| basealphas | basealphas[k][j] is the alpha for class k and sample j which is untransformed compared to the alphas stored in CSVM* members |
在文件GMNPSVM.cpp第163行定义。
| bool train | ( | CFeatures * | data = NULL |
) | [virtual] |
train SVM
| data | training data (parameter can be avoided if distance or kernel-based classifiers are used and distance/kernels are initialized with train data) |
重载CClassifier。
在文件GMNPSVM.cpp第37行定义。
::std::vector< ::std::vector<float64_t> > m_basealphas [protected] |