, including all inherited members.
| apply() | CKernelMachine | [virtual] |
| apply(CFeatures *data) | CKernelMachine | [virtual] |
| apply(int32_t num) | CKernelMachine | [virtual] |
| apply_helper(void *p) | CKernelMachine | [static] |
| beta_local | CMKL | [protected] |
| C1 | CSVM | [protected] |
| C2 | CSVM | [protected] |
| C_mkl | CMKL | [protected] |
| callback | CSVM | [protected] |
| check_lpx_status(LPX *lp) | CMKL | [protected] |
| CKernelMachine() | CKernelMachine | |
| cleanup_cplex() | CMKL | [protected] |
| cleanup_glpk() | CMKL | [protected] |
| CMachine() | CMachine | |
| CMKL(CSVM *s=NULL) | CMKL | |
| CMKLOneClass(CSVM *s=NULL) | CMKLOneClass | |
| compute_elasticnet_dual_objective() | CMKL | |
| compute_mkl_dual_objective() | CMKL | [virtual] |
| compute_mkl_primal_objective() | CMKL | |
| compute_optimal_betas_block_norm(float64_t *beta, const float64_t *old_beta, const int32_t num_kernels, const float64_t *sumw, const float64_t suma, const float64_t mkl_objective) | CMKL | [protected] |
| compute_optimal_betas_directly(float64_t *beta, const float64_t *old_beta, const int32_t num_kernels, const float64_t *sumw, const float64_t suma, const float64_t mkl_objective) | CMKL | [protected] |
| compute_optimal_betas_elasticnet(float64_t *beta, const float64_t *old_beta, const int32_t num_kernels, const float64_t *sumw, const float64_t suma, const float64_t mkl_objective) | CMKL | [protected] |
| compute_optimal_betas_newton(float64_t *beta, const float64_t *old_beta, int32_t num_kernels, const float64_t *sumw, float64_t suma, float64_t mkl_objective) | CMKL | [protected] |
| compute_optimal_betas_via_cplex(float64_t *beta, const float64_t *old_beta, int32_t num_kernels, const float64_t *sumw, float64_t suma, int32_t &inner_iters) | CMKL | [protected] |
| compute_optimal_betas_via_glpk(float64_t *beta, const float64_t *old_beta, int num_kernels, const float64_t *sumw, float64_t suma, int32_t &inner_iters) | CMKL | [protected] |
| compute_sum_alpha() | CMKLOneClass | [virtual] |
| compute_sum_beta(float64_t *sumw) | CMKL | [virtual] |
| compute_svm_dual_objective() | CSVM | |
| compute_svm_primal_objective() | CSVM | |
| converged() | CMKL | [protected, virtual] |
| 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 | |
| elasticnet_dual(float64_t *ff, float64_t *gg, float64_t *hh, const float64_t &del, const float64_t *nm, int32_t len, const float64_t &lambda) | CMKL | [protected] |
| elasticnet_transform(float64_t *beta, float64_t lmd, int32_t len) | CMKL | [protected] |
| ent_lambda | CMKL | [protected] |
| env | CMKL | [protected] |
| epsilon | CSVM | [protected] |
| get_alpha(int32_t idx) | CKernelMachine | |
| get_alphas() | CKernelMachine | |
| get_batch_computation_enabled() | CKernelMachine | |
| get_bias() | CKernelMachine | |
| get_bias_enabled() | CKernelMachine | |
| get_C1() | CSVM | |
| get_C2() | CSVM | |
| get_classifier_type() | CMKLOneClass | [protected, virtual] |
| get_epsilon() | CSVM | |
| get_global_io() | CSGObject | |
| get_global_parallel() | CSGObject | |
| get_global_version() | CSGObject | |
| get_interleaved_optimization_enabled() | CMKL | |
| get_kernel() | CKernelMachine | |
| get_label(int32_t i) | CMachine | [virtual] |
| get_labels() | CMachine | [virtual] |
| get_linadd_enabled() | CKernelMachine | |
| get_linear_term() | CSVM | [virtual] |
| get_linear_term_array() | CSVM | [protected, virtual] |
| get_max_train_time() | CMachine | |
| get_mkl_epsilon() | CMKL | |
| get_mkl_iterations() | CMKL | |
| get_modelsel_names() | CSGObject | |
| get_modsel_param_descr(const char *param_name) | CSGObject | |
| get_modsel_param_index(const char *param_name) | CSGObject | |
| get_name() const | CMKL | [virtual] |
| get_nu() | CSVM | |
| get_num_support_vectors() | CKernelMachine | |
| get_objective() | CSVM | |
| get_qpsize() | CSVM | |
| get_shrinking_enabled() | CSVM | |
| get_solver_type() | CMachine | |
| get_support_vector(int32_t idx) | CKernelMachine | |
| get_support_vectors() | CKernelMachine | |
| get_svm() | CMKL | |
| get_tube_epsilon() | CSVM | |
| init_cplex() | CMKL | [protected] |
| init_glpk() | CMKL | [protected] |
| init_kernel_optimization() | CKernelMachine | |
| init_solver() | CMKL | [protected] |
| init_training() | CMKLOneClass | [protected, virtual] |
| interleaved_optimization | CMKL | [protected] |
| io | CSGObject | |
| is_generic(EPrimitiveType *generic) const | CSGObject | [virtual] |
| kernel | CKernelMachine | [protected] |
| labels | CMachine | [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] |
| lp_cplex | CMKL | [protected] |
| lp_glpk | CMKL | [protected] |
| lp_initialized | CMKL | [protected] |
| m_alpha | CKernelMachine | [protected] |
| m_bias | CKernelMachine | [protected] |
| m_linear_term | CSVM | [protected] |
| m_model_selection_parameters | CSGObject | |
| m_parameters | CSGObject | |
| m_store_model_features | CMachine | [protected] |
| m_svs | CKernelMachine | [protected] |
| max_train_time | CMachine | [protected] |
| mkl | CSVM | [protected] |
| mkl_block_norm | CMKL | [protected] |
| mkl_epsilon | CMKL | [protected] |
| mkl_iterations | CMKL | [protected] |
| mkl_norm | CMKL | [protected] |
| nu | CSVM | [protected] |
| objective | CSVM | [protected] |
| parallel | CSGObject | |
| perform_mkl_step(const float64_t *sumw, float64_t suma) | CMKL | [virtual] |
| perform_mkl_step(float64_t *beta, float64_t *old_beta, int num_kernels, int32_t *label, int32_t *active2dnum, float64_t *a, float64_t *lin, float64_t *sumw, int32_t &inner_iters) | CMKL | [protected] |
| perform_mkl_step_helper(CMKL *mkl, const float64_t *sumw, const float64_t suma) | CMKL | [static] |
| print_serializable(const char *prefix="") | CSGObject | [virtual] |
| qpsize | CSVM | [protected] |
| rho | CMKL | [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(SGVector< float64_t > alphas) | 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_C_mkl(float64_t C) | CMKL | |
| set_callback_function(CMKL *m, bool(*cb)(CMKL *mkl, const float64_t *sumw, const float64_t suma)) | CSVM | |
| set_constraint_generator(CSVM *s) | CMKL | |
| set_defaults(int32_t num_sv=0) | CSVM | |
| set_elasticnet_lambda(float64_t elasticnet_lambda) | CMKL | |
| set_epsilon(float64_t eps) | CSVM | |
| set_generic() | CSGObject | |
| set_global_io(SGIO *io) | CSGObject | |
| set_global_parallel(Parallel *parallel) | CSGObject | |
| set_global_version(Version *version) | CSGObject | |
| set_interleaved_optimization_enabled(bool enable) | CMKL | |
| set_kernel(CKernel *k) | CKernelMachine | |
| set_labels(CLabels *lab) | CMachine | [virtual] |
| set_linadd_enabled(bool enable) | CKernelMachine | |
| set_linear_term(SGVector< float64_t > linear_term) | CSVM | [virtual] |
| set_max_train_time(float64_t t) | CMachine | |
| set_mkl_block_norm(float64_t q) | CMKL | |
| set_mkl_epsilon(float64_t eps) | CMKL | |
| set_mkl_norm(float64_t norm) | CMKL | |
| set_nu(float64_t nue) | CSVM | |
| set_objective(float64_t v) | CSVM | |
| set_qnorm_constraints(float64_t *beta, int32_t num_kernels) | CMKL | [protected] |
| set_qpsize(int32_t qps) | CSVM | |
| set_shrinking_enabled(bool enable) | CSVM | |
| set_solver_type(ESolverType st) | CMachine | |
| set_store_model_features(bool store_model) | CMachine | [virtual] |
| set_support_vector(int32_t idx, int32_t val) | CKernelMachine | |
| set_support_vectors(SGVector< int32_t > svs) | CKernelMachine | |
| set_svm(CSVM *s) | CMKL | |
| set_tube_epsilon(float64_t eps) | CSVM | |
| solver_type | CMachine | [protected] |
| store_model_features() | CKernelMachine | [protected, virtual] |
| svm | CMKL | [protected] |
| svm_loaded | CSVM | [protected] |
| train(CFeatures *data=NULL) | CMachine | [virtual] |
| train_machine(CFeatures *data=NULL) | CMKL | [protected, virtual] |
| training_time_clock | CMKL | [protected] |
| 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 | |
| W | CMKL | [protected] |
| w_gap | CMKL | [protected] |
| ~CKernelMachine() | CKernelMachine | [virtual] |
| ~CMachine() | CMachine | [virtual] |
| ~CMKL() | CMKL | [virtual] |
| ~CMKLOneClass() | CMKLOneClass | [virtual] |
| ~CSGObject() | CSGObject | [virtual] |
| ~CSVM() | CSVM | [virtual] |
