svm_model Struct Reference

List of all members.

Public Attributes

svm_parameter param
int32_t nr_class
int32_t l
svm_node ** SV
float64_t ** sv_coef
float64_trho
int32_t * label
int32_t * nSV
int32_t free_sv
float64_t objective


Detailed Description

svm_model

Definition at line 104 of file SVM_libsvm.h.


Member Data Documentation

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.

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.

parameter

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.


The documentation for this struct was generated from the following file:

SHOGUN Machine Learning Toolbox - Documentation