12 #ifndef _SCATTERSVM_H___
13 #define _SCATTERSVM_H___
90 inline virtual const char*
get_name()
const {
return "ScatterSVM"; }
104 void compute_norm_wc();
105 virtual bool train_no_bias_libsvm();
107 virtual bool train_testrule12();
virtual EClassifierType get_classifier_type()
virtual bool train_machine(CFeatures *data=NULL)
The class Labels models labels, i.e. class assignments of objects.
SCATTER_TYPE scatter_type
virtual CLabels * apply()
ScatterSVM - Multiclass SVM.
training with bias using test rule 2
The class Features is the base class of all feature objects.
training with bias using test rule 1
virtual CLabels * classify_one_vs_rest()
virtual const char * get_name() const