1 /* 2 This code was extracted from libsvm 3.2.3 in Feb 2019 and 3 modified for the use with Octave and Matlab 4 5 6 Copyright (c) 2000-2019 Chih-Chung Chang and Chih-Jen Lin 7 All rights reserved. 8 9 Redistribution and use in source and binary forms, with or without 10 modification, are permitted provided that the following conditions 11 are met: 12 13 1. Redistributions of source code must retain the above copyright 14 notice, this list of conditions and the following disclaimer. 15 16 2. Redistributions in binary form must reproduce the above copyright 17 notice, this list of conditions and the following disclaimer in the 18 documentation and/or other materials provided with the distribution. 19 20 3. Neither name of copyright holders nor the names of its contributors 21 may be used to endorse or promote products derived from this software 22 without specific prior written permission. 23 24 25 THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS 26 ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT 27 LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR 28 A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR 29 CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, 30 EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, 31 PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR 32 PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF 33 LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING 34 NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 35 SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 36 */ 37 38 #ifndef _LIBSVM_H 39 #define _LIBSVM_H 40 41 #define LIBSVM_VERSION 323 42 43 #ifdef __cplusplus 44 extern "C" { 45 #endif 46 47 extern int libsvm_version; 48 49 struct svm_node 50 { 51 int index; 52 double value; 53 }; 54 55 struct svm_problem 56 { 57 int l; 58 double *y; 59 struct svm_node **x; 60 }; 61 62 enum { C_SVC, NU_SVC, ONE_CLASS, EPSILON_SVR, NU_SVR }; /* svm_type */ 63 enum { LINEAR, POLY, RBF, SIGMOID, PRECOMPUTED }; /* kernel_type */ 64 65 struct svm_parameter 66 { 67 int svm_type; 68 int kernel_type; 69 int degree; /* for poly */ 70 double gamma; /* for poly/rbf/sigmoid */ 71 double coef0; /* for poly/sigmoid */ 72 73 /* these are for training only */ 74 double cache_size; /* in MB */ 75 double eps; /* stopping criteria */ 76 double C; /* for C_SVC, EPSILON_SVR and NU_SVR */ 77 int nr_weight; /* for C_SVC */ 78 int *weight_label; /* for C_SVC */ 79 double* weight; /* for C_SVC */ 80 double nu; /* for NU_SVC, ONE_CLASS, and NU_SVR */ 81 double p; /* for EPSILON_SVR */ 82 int shrinking; /* use the shrinking heuristics */ 83 int probability; /* do probability estimates */ 84 }; 85 86 // 87 // svm_model 88 // 89 struct svm_model 90 { 91 struct svm_parameter param; /* parameter */ 92 int nr_class; /* number of classes, = 2 in regression/one class svm */ 93 int l; /* total #SV */ 94 struct svm_node **SV; /* SVs (SV[l]) */ 95 double **sv_coef; /* coefficients for SVs in decision functions (sv_coef[k-1][l]) */ 96 double *rho; /* constants in decision functions (rho[k*(k-1)/2]) */ 97 double *probA; /* pariwise probability information */ 98 double *probB; 99 int *sv_indices; /* sv_indices[0,...,nSV-1] are values in [1,...,num_traning_data] to indicate SVs in the training set */ 100 101 /* for classification only */ 102 103 int *label; /* label of each class (label[k]) */ 104 int *nSV; /* number of SVs for each class (nSV[k]) */ 105 /* nSV[0] + nSV[1] + ... + nSV[k-1] = l */ 106 /* XXX */ 107 int free_sv; /* 1 if svm_model is created by svm_load_model*/ 108 /* 0 if svm_model is created by svm_train */ 109 }; 110 111 struct svm_model *svm_train(const struct svm_problem *prob, const struct svm_parameter *param); 112 void svm_cross_validation(const struct svm_problem *prob, const struct svm_parameter *param, int nr_fold, double *target); 113 114 int svm_save_model(const char *model_file_name, const struct svm_model *model); 115 struct svm_model *svm_load_model(const char *model_file_name); 116 117 int svm_get_svm_type(const struct svm_model *model); 118 int svm_get_nr_class(const struct svm_model *model); 119 void svm_get_labels(const struct svm_model *model, int *label); 120 void svm_get_sv_indices(const struct svm_model *model, int *sv_indices); 121 int svm_get_nr_sv(const struct svm_model *model); 122 double svm_get_svr_probability(const struct svm_model *model); 123 124 double svm_predict_values(const struct svm_model *model, const struct svm_node *x, double* dec_values); 125 double svm_predict(const struct svm_model *model, const struct svm_node *x); 126 double svm_predict_probability(const struct svm_model *model, const struct svm_node *x, double* prob_estimates); 127 128 void svm_free_model_content(struct svm_model *model_ptr); 129 void svm_free_and_destroy_model(struct svm_model **model_ptr_ptr); 130 void svm_destroy_param(struct svm_parameter *param); 131 132 const char *svm_check_parameter(const struct svm_problem *prob, const struct svm_parameter *param); 133 int svm_check_probability_model(const struct svm_model *model); 134 135 void svm_set_print_string_function(void (*print_func)(const char *)); 136 137 #ifdef __cplusplus 138 } 139 #endif 140 141 #endif /* _LIBSVM_H */ 142