Definition at line 104 of file SVM_libsvm.h.
Public Attributes | |
svm_parameter | param |
int | nr_class |
int | l |
svm_node ** | SV |
double ** | sv_coef |
double * | rho |
int * | label |
int * | nSV |
int | free_sv |
double | objective |
parameter
Definition at line 107 of file SVM_libsvm.h.
number of classes, = 2 in regression/one class svm
Definition at line 109 of file SVM_libsvm.h.
int svm_model::l |
total SV
Definition at line 111 of file SVM_libsvm.h.
SVs (SV[l])
Definition at line 113 of file SVM_libsvm.h.
double** svm_model::sv_coef |
coefficients for SVs in decision functions (sv_coef[n-1][l])
Definition at line 115 of file SVM_libsvm.h.
double* svm_model::rho |
constants in decision functions (rho[n*(n-1)/2])
Definition at line 117 of file SVM_libsvm.h.
int* svm_model::label |
label of each class (label[n])
Definition at line 122 of file SVM_libsvm.h.
int* svm_model::nSV |
number of SVs for each class (nSV[n]) nSV[0] + nSV[1] + ... + nSV[n-1] = l
Definition at line 126 of file SVM_libsvm.h.
1 if svm_model is created by svm_load_model 0 if svm_model is created by svm_train
Definition at line 131 of file SVM_libsvm.h.
double svm_model::objective |
objective
Definition at line 133 of file SVM_libsvm.h.