/dports/science/afni/afni-AFNI_21.3.16/src/svm/ |
H A D | svm_learn_main.c | 46 KERNEL_PARM kernel_parm; in main() local 50 &learn_parm,&kernel_parm); in main() 69 &kernel_parm,&kernel_cache,model); in main() 73 &kernel_parm,&kernel_cache,model); in main() 136 kernel_parm->kernel_type=0; in read_input_parameters() 137 kernel_parm->poly_degree=3; in read_input_parameters() 138 kernel_parm->rbf_gamma=1.0; in read_input_parameters() 139 kernel_parm->coef_lin=1; in read_input_parameters() 140 kernel_parm->coef_const=1; in read_input_parameters() 141 strcpy(kernel_parm->custom,"empty"); in read_input_parameters() [all …]
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H A D | svm_learn.c | 37 KERNEL_PARM *kernel_parm, in svm_learn_classification() argument 107 model->kernel_parm=(*kernel_parm); in svm_learn_classification() 268 kernel_parm)); in svm_learn_classification() 344 kernel_parm, in svm_learn_classification() 373 kernel_parm, in svm_learn_classification() 505 model->kernel_parm=(*kernel_parm); in svm_learn_regression() 750 model->kernel_parm=(*kernel_parm); in svm_learn_ranking() 992 choosenum,kernel_parm); in optimize_to_convergence() 1298 …f, coef_const %f])...",kernel_parm->kernel_type,kernel_parm->poly_degree,kernel_parm->rbf_gamma,ke… in compute_matrices_for_optimization() 1666 kernel_parm); in update_linear_component() [all …]
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H A D | svm_common.c | 49 CFLOAT kernel(KERNEL_PARM *kernel_parm, DOC *a, DOC *b) in kernel() argument 53 switch(kernel_parm->kernel_type) { in kernel() 57 …return((CFLOAT)pow(kernel_parm->coef_lin*sprod_ss(a->words,b->words)+kernel_parm->coef_const,(doub… in kernel() 61 … return((CFLOAT)tanh(kernel_parm->coef_lin*sprod_ss(a->words,b->words)+kernel_parm->coef_const)); in kernel() 63 return((CFLOAT)custom_kernel(kernel_parm,a,b)); in kernel() 167 double model_length_s(MODEL *model, KERNEL_PARM *kernel_parm) in model_length_s() argument 179 *kernel(kernel_parm,supveci,model->supvec[j]); in model_length_s() 254 fscanf(modelfl,"%lf%*[^\n]\n", &model->kernel_parm.rbf_gamma); in read_model() 255 fscanf(modelfl,"%lf%*[^\n]\n", &model->kernel_parm.coef_lin); in read_model() 256 fscanf(modelfl,"%lf%*[^\n]\n", &model->kernel_parm.coef_const); in read_model() [all …]
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H A D | kernel.h | 23 double custom_kernel(KERNEL_PARM *kernel_parm, DOC *a, DOC *b) in custom_kernel() argument 25 if (!strcmp(kernel_parm->custom,"complex1")) in custom_kernel() 73 "How did you get here? \n", kernel_parm->custom); exit(0); in custom_kernel()
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H A D | 3dsvm.c | 51 KERNEL_PARM kernel_parm; /* svm-light structure */ in main() local 125 &kernel_parm, &options, &mode, &svm_type, errorString) ) { in main() 141 if( train_classification(&model, &learn_parm, &kernel_parm, &kernel_cache_size, in main() 149 if( train_regression(&model, &learn_parm, &kernel_parm, &kernel_cache_size, in main()
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H A D | svm_common.h | 134 typedef struct kernel_parm { struct 152 KERNEL_PARM kernel_parm; /* kernel */ argument
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H A D | plug_3dsvm.c | 215 KERNEL_PARM kernel_parm; /* svm-light kernel parameters */ in ASL_main() local 361 &learn_parm, &kernel_parm, &options, &mode, &svm_type, in ASL_main() 882 if( train_classification(&model, &learn_parm, &kernel_parm, &kernel_cache_size, in ASL_main() 896 if( train_regression(&model, &learn_parm, &kernel_parm, &kernel_cache_size, in ASL_main() 1345 GLOBAL_svm_vars.learn_parm, GLOBAL_svm_vars.kernel_parm, in svm_rt_callback() 1366 GLOBAL_svm_vars.learn_parm, GLOBAL_svm_vars.kernel_parm, in svm_rt_callback() 1483 GLOBAL_svm_vars.kernel_parm = (KERNEL_PARM *)malloc(sizeof(KERNEL_PARM)); in init_3dsvm_rt() 1487 GLOBAL_svm_vars.kernel_parm, GLOBAL_svm_vars.options, in init_3dsvm_rt() 1897 KERNEL_PARM kernel_parm; /* svm-light kernel parameters */ in drive_3dsvm_plugin() local 1959 &learn_parm, &kernel_parm, &options, &mode, &svm_type, in drive_3dsvm_plugin()
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H A D | svm_classify.c | 57 if(model->kernel_parm.kernel_type == 0) { /* linear kernel */ in main() 76 if(model->kernel_parm.kernel_type == 0) { /* linear kernel */ in main()
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H A D | 3dsvm_common.c | 7712 kernel_parm->kernel_type=LINEAR; in input_parse() 7713 kernel_parm->poly_degree=3; in input_parse() 7714 kernel_parm->rbf_gamma=1.0; in input_parse() 7715 kernel_parm->coef_lin=1.0; in input_parse() 7716 kernel_parm->coef_const=1.0; in input_parse() 7717 strncpy(kernel_parm->custom,"empty", 50); in input_parse() 7984 kernel_parm->kernel_type = CUSTOM; in input_parse() 7988 kernel_parm->kernel_type = LINEAR; in input_parse() 7991 kernel_parm->kernel_type = POLY; in input_parse() 7994 kernel_parm->kernel_type = RBF; in input_parse() [all …]
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H A D | svm_learn.h | 138 KERNEL_PARM *kernel_parm; member
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H A D | 3dsvm_common.h | 265 KERNEL_PARM * kernel_parm; /* svm-light kernel parameters */ member
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/dports/science/p5-Algorithm-SVMLight/Algorithm-SVMLight-0.09/lib/Algorithm/ |
H A D | SVMLight.xs | 155 KERNEL_PARM *kernel_parm; in _xs_init() local 169 New(id, kernel_parm, 1, KERNEL_PARM); in _xs_init() 172 self_store(self, kernel_parm, "_kernel_parm", 1); in _xs_init() 174 set_learning_defaults(learn_parm, kernel_parm); in _xs_init() 175 check_learning_parms(learn_parm, kernel_parm); in _xs_init() 260 kernel_parm,&kernel_cache,model); in train() 264 kernel_parm,&kernel_cache,model); in train() 274 if (model->kernel_parm.kernel_type == 0) { /* linear kernel */ in train() 305 double dist = (model->kernel_parm.kernel_type == 0 in predict_i() 334 if (m->kernel_parm.kernel_type != 0) in get_linear_weights() [all …]
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/dports/science/p5-Algorithm-SVMLight/Algorithm-SVMLight-0.09/ |
H A D | SVMLight.patch | 232 + kernel_parm->kernel_type=LINEAR; 233 + kernel_parm->poly_degree=3; 234 + kernel_parm->rbf_gamma=1.0; 235 + kernel_parm->coef_lin=1; 236 + kernel_parm->coef_const=1; 322 typedef struct kernel_parm { 385 - kernel_parm->kernel_type=0; 386 - kernel_parm->poly_degree=3; 387 - kernel_parm->rbf_gamma=1.0; 388 - kernel_parm->coef_lin=1; [all …]
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