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SVMCrossVal.git
libsvm-mat-2.88-1
svm.h
SVMCrossVal toolbox init
Christoph Budziszewski
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2095645
at 2008-12-17 13:45:29
svm.h
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#ifndef _LIBSVM_H #define _LIBSVM_H #define LIBSVM_VERSION 288 #ifdef __cplusplus extern "C" { #endif struct svm_node { int index; double value; }; struct svm_problem { int l; double *y; struct svm_node **x; }; enum { C_SVC, NU_SVC, ONE_CLASS, EPSILON_SVR, NU_SVR }; /* svm_type */ enum { LINEAR, POLY, RBF, SIGMOID, PRECOMPUTED }; /* kernel_type */ struct svm_parameter { int svm_type; int kernel_type; int degree; /* for poly */ double gamma; /* for poly/rbf/sigmoid */ double coef0; /* for poly/sigmoid */ /* these are for training only */ double cache_size; /* in MB */ double eps; /* stopping criteria */ double C; /* for C_SVC, EPSILON_SVR and NU_SVR */ int nr_weight; /* for C_SVC */ int *weight_label; /* for C_SVC */ double* weight; /* for C_SVC */ double nu; /* for NU_SVC, ONE_CLASS, and NU_SVR */ double p; /* for EPSILON_SVR */ int shrinking; /* use the shrinking heuristics */ int probability; /* do probability estimates */ }; struct svm_model { struct svm_parameter param; // parameter int nr_class; // number of classes, = 2 in regression/one class svm int l; // total #SV struct svm_node **SV; // SVs (SV[l]) double **sv_coef; // coefficients for SVs in decision functions (sv_coef[k-1][l]) double *rho; // constants in decision functions (rho[k*(k-1)/2]) double *probA; // pariwise probability information double *probB; // for classification only int *label; // label of each class (label[k]) int *nSV; // number of SVs for each class (nSV[k]) // nSV[0] + nSV[1] + ... + nSV[k-1] = l // XXX int free_sv; // 1 if svm_model is created by svm_load_model // 0 if svm_model is created by svm_train }; struct svm_model *svm_train(const struct svm_problem *prob, const struct svm_parameter *param); void svm_cross_validation(const struct svm_problem *prob, const struct svm_parameter *param, int nr_fold, double *target); int svm_save_model(const char *model_file_name, const struct svm_model *model); struct svm_model *svm_load_model(const char *model_file_name); int svm_get_svm_type(const struct svm_model *model); int svm_get_nr_class(const struct svm_model *model); void svm_get_labels(const struct svm_model *model, int *label); double svm_get_svr_probability(const struct svm_model *model); void svm_predict_values(const struct svm_model *model, const struct svm_node *x, double* dec_values); double svm_predict(const struct svm_model *model, const struct svm_node *x); double svm_predict_probability(const struct svm_model *model, const struct svm_node *x, double* prob_estimates); void svm_destroy_model(struct svm_model *model); void svm_destroy_param(struct svm_parameter *param); const char *svm_check_parameter(const struct svm_problem *prob, const struct svm_parameter *param); int svm_check_probability_model(const struct svm_model *model); #ifdef __cplusplus } #endif #endif /* _LIBSVM_H */