, including all inherited members.
| C1 | CSVM | [protected] |
| C2 | CSVM | [protected] |
| callback | CSVM | [protected] |
| CClassifier() | CClassifier | |
| CCPLEXSVM() | CCPLEXSVM | |
| CKernelMachine() | CKernelMachine | |
| classify() | CKernelMachine | [virtual] |
| classify(CFeatures *data) | CKernelMachine | [virtual] |
| classify_example(int32_t num) | CKernelMachine | [virtual] |
| classify_example_helper(void *p) | CKernelMachine | [static] |
| compute_svm_dual_objective() | CSVM | |
| compute_svm_primal_objective() | CSVM | |
| create_new_model(int32_t num) | CKernelMachine | |
| CSGObject() | CSGObject | |
| CSGObject(const CSGObject &orig) | CSGObject | |
| CSVM(int32_t num_sv=0) | CSVM | |
| CSVM(float64_t C, CKernel *k, CLabels *lab) | CSVM | |
| epsilon | CSVM | [protected] |
| get_alpha(int32_t idx) | CKernelMachine | |
| get_alphas(float64_t **alphas, int32_t *d1) | CKernelMachine | |
| get_batch_computation_enabled() | CKernelMachine | |
| get_bias() | CKernelMachine | |
| get_bias_enabled() | CKernelMachine | |
| get_C1() | CSVM | |
| get_C2() | CSVM | |
| get_classifier_type() | CCPLEXSVM | [virtual] |
| get_epsilon() | CSVM | |
| get_io() | CSGObject | |
| get_kernel() | CKernelMachine | |
| get_label(int32_t i) | CClassifier | [virtual] |
| get_labels() | CClassifier | [virtual] |
| get_linadd_enabled() | CKernelMachine | |
| get_linear_term_array() | CSVM | [protected, virtual] |
| get_linear_term_ptr(index_t *len) | CSVM | [virtual] |
| get_max_train_time() | CClassifier | |
| get_name() const | CSVM | [virtual] |
| get_nu() | CSVM | |
| get_num_support_vectors() | CKernelMachine | |
| get_objective() | CSVM | |
| get_parallel() | CSGObject | |
| get_qpsize() | CSVM | |
| get_shrinking_enabled() | CSVM | |
| get_solver_type() | CClassifier | |
| get_support_vector(int32_t idx) | CKernelMachine | |
| get_support_vectors(int32_t **svs, int32_t *num) | CKernelMachine | |
| get_tube_epsilon() | CSVM | |
| get_version() | CSGObject | |
| init_kernel_optimization() | CKernelMachine | |
| io | CSGObject | |
| is_generic(EPrimitiveType *generic) const | CSGObject | [virtual] |
| kernel | CKernelMachine | [protected] |
| labels | CClassifier | [protected] |
| load(FILE *svm_file) | CSVM | [virtual] |
| load_serializable(CSerializableFile *file, const char *prefix="") | CSGObject | [virtual] |
| load_serializable_post() | CSGObject | [protected, virtual] |
| load_serializable_pre() | CSGObject | [protected, virtual] |
| m_alpha | CKernelMachine | [protected] |
| m_bias | CKernelMachine | [protected] |
| m_linear_term | CSVM | [protected] |
| m_linear_term_len | CSVM | [protected] |
| m_parameters | CSGObject | [protected] |
| m_svs | CKernelMachine | [protected] |
| max_train_time | CClassifier | [protected] |
| mkl | CSVM | [protected] |
| nu | CSVM | [protected] |
| num_svs | CKernelMachine | [protected] |
| objective | CSVM | [protected] |
| parallel | CSGObject | |
| print_serializable(const char *prefix="") | CSGObject | [virtual] |
| qpsize | CSVM | [protected] |
| save(FILE *svm_file) | CSVM | [virtual] |
| save_serializable(CSerializableFile *file, const char *prefix="") | CSGObject | [virtual] |
| save_serializable_post() | CSGObject | [protected, virtual] |
| save_serializable_pre() | CSGObject | [protected, virtual] |
| set_alpha(int32_t idx, float64_t val) | CKernelMachine | |
| set_alphas(float64_t *alphas, int32_t d) | CKernelMachine | |
| set_batch_computation_enabled(bool enable) | CKernelMachine | |
| set_bias(float64_t bias) | CKernelMachine | |
| set_bias_enabled(bool enable_bias) | CKernelMachine | |
| set_C(float64_t c_neg, float64_t c_pos) | CSVM | |
| set_callback_function(CMKL *m, bool(*cb)(CMKL *mkl, const float64_t *sumw, const float64_t suma)) | CSVM | |
| set_defaults(int32_t num_sv=0) | CSVM | |
| set_epsilon(float64_t eps) | CSVM | |
| set_generic() | CSGObject | |
| set_io(IO *io) | CSGObject | |
| set_kernel(CKernel *k) | CKernelMachine | |
| set_labels(CLabels *lab) | CClassifier | [virtual] |
| set_linadd_enabled(bool enable) | CKernelMachine | |
| set_linear_term(float64_t *linear_term, index_t len) | CSVM | [virtual] |
| set_max_train_time(float64_t t) | CClassifier | |
| set_nu(float64_t nue) | CSVM | |
| set_objective(float64_t v) | CSVM | |
| set_parallel(Parallel *parallel) | CSGObject | |
| set_qpsize(int32_t qps) | CSVM | |
| set_shrinking_enabled(bool enable) | CSVM | |
| set_solver_type(ESolverType st) | CClassifier | |
| set_support_vector(int32_t idx, int32_t val) | CKernelMachine | |
| set_support_vectors(int32_t *svs, int32_t d) | CKernelMachine | |
| set_tube_epsilon(float64_t eps) | CSVM | |
| set_version(Version *version) | CSGObject | |
| solver_type | CClassifier | [protected] |
| svm_loaded | CSVM | [protected] |
| train(CFeatures *data=NULL) | CCPLEXSVM | [virtual] |
| tube_epsilon | CSVM | [protected] |
| unset_generic() | CSGObject | |
| use_batch_computation | CKernelMachine | [protected] |
| use_bias | CKernelMachine | [protected] |
| use_linadd | CKernelMachine | [protected] |
| use_shrinking | CSVM | [protected] |
| version | CSGObject | |
| ~CClassifier() | CClassifier | [virtual] |
| ~CCPLEXSVM() | CCPLEXSVM | [virtual] |
| ~CKernelMachine() | CKernelMachine | [virtual] |
| ~CSGObject() | CSGObject | [virtual] |
| ~CSVM() | CSVM | [virtual] |
