Home
last modified time | relevance | path

Searched refs:kernel_parm (Results 1 – 13 of 13) sorted by relevance

/dports/science/afni/afni-AFNI_21.3.16/src/svm/
H A Dsvm_learn_main.c46 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 …]
H A Dsvm_learn.c37 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 …]
H A Dsvm_common.c49 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 …]
H A Dkernel.h23 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()
H A D3dsvm.c51 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()
H A Dsvm_common.h134 typedef struct kernel_parm { struct
152 KERNEL_PARM kernel_parm; /* kernel */ argument
H A Dplug_3dsvm.c215 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()
H A Dsvm_classify.c57 if(model->kernel_parm.kernel_type == 0) { /* linear kernel */ in main()
76 if(model->kernel_parm.kernel_type == 0) { /* linear kernel */ in main()
H A D3dsvm_common.c7712 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 …]
H A Dsvm_learn.h138 KERNEL_PARM *kernel_parm; member
H A D3dsvm_common.h265 KERNEL_PARM * kernel_parm; /* svm-light kernel parameters */ member
/dports/science/p5-Algorithm-SVMLight/Algorithm-SVMLight-0.09/lib/Algorithm/
H A DSVMLight.xs155 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 …]
/dports/science/p5-Algorithm-SVMLight/Algorithm-SVMLight-0.09/
H A DSVMLight.patch232 + 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 …]