Public Attributes | |
svm_parameter | param |
int32_t | nr_class |
int32_t | l |
svm_node ** | SV |
float64_t ** | sv_coef |
float64_t * | rho |
int32_t * | label |
int32_t * | nSV |
int32_t | free_sv |
float64_t | objective |
Definition at line 104 of file SVM_libsvm.h.
int32_t svm_model::free_sv |
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.
int32_t svm_model::l |
total SV
Definition at line 111 of file SVM_libsvm.h.
int32_t* svm_model::label |
label of each class (label[n])
Definition at line 122 of file SVM_libsvm.h.
int32_t svm_model::nr_class |
number of classes, = 2 in regression/one class svm
Definition at line 109 of file SVM_libsvm.h.
int32_t* 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.
objective
Definition at line 133 of file SVM_libsvm.h.
Definition at line 107 of file SVM_libsvm.h.
constants in decision functions (rho[n*(n-1)/2])
Definition at line 117 of file SVM_libsvm.h.
SVs (SV[l])
Definition at line 113 of file SVM_libsvm.h.
coefficients for SVs in decision functions (sv_coef[n-1][l])
Definition at line 115 of file SVM_libsvm.h.