| alphas | CLibLinearMTL | protected |
| apply(CFeatures *data=NULL) | CMachine | virtual |
| apply_binary(CFeatures *data=NULL) | CLinearMachine | virtual |
| apply_get_outputs(CFeatures *data) | CLinearMachine | protectedvirtual |
| apply_latent(CFeatures *data=NULL) | CMachine | virtual |
| apply_locked(SGVector< index_t > indices) | CMachine | virtual |
| apply_locked_binary(SGVector< index_t > indices) | CMachine | virtual |
| apply_locked_latent(SGVector< index_t > indices) | CMachine | virtual |
| apply_locked_multiclass(SGVector< index_t > indices) | CMachine | virtual |
| apply_locked_regression(SGVector< index_t > indices) | CMachine | virtual |
| apply_locked_structured(SGVector< index_t > indices) | CMachine | virtual |
| apply_multiclass(CFeatures *data=NULL) | CMachine | virtual |
| apply_one(int32_t vec_idx) | CLinearMachine | virtual |
| apply_regression(CFeatures *data=NULL) | CLinearMachine | virtual |
| apply_structured(CFeatures *data=NULL) | CMachine | virtual |
| bias | CLinearMachine | protected |
| build_gradient_parameter_dictionary(CMap< TParameter *, CSGObject * > *dict) | CSGObject | |
| C1 | CLibLinearMTL | protected |
| C2 | CLibLinearMTL | protected |
| CLibLinearMTL() | CLibLinearMTL | |
| CLibLinearMTL(float64_t C, CDotFeatures *traindat, CLabels *trainlab) | CLibLinearMTL | |
| CLinearMachine() | CLinearMachine | |
| CLinearMachine(CLinearMachine *machine) | CLinearMachine | |
| clone() | CSGObject | virtual |
| CMachine() | CMachine | |
| compute_dual_obj() | CLibLinearMTL | virtual |
| compute_duality_gap() | CLibLinearMTL | virtual |
| compute_primal_obj() | CLibLinearMTL | virtual |
| CSGObject() | CSGObject | |
| CSGObject(const CSGObject &orig) | CSGObject | |
| data_lock(CLabels *labs, CFeatures *features) | CMachine | virtual |
| data_unlock() | CMachine | virtual |
| deep_copy() const | CSGObject | virtual |
| duality_gap | CLibLinearMTL | protected |
| epsilon | CLibLinearMTL | protected |
| equals(CSGObject *other, float64_t accuracy=0.0) | CSGObject | virtual |
| features | CLinearMachine | protected |
| get_alphas() | CLibLinearMTL | |
| get_bias() | CLinearMachine | virtual |
| get_bias_enabled() | CLibLinearMTL | |
| get_C1() | CLibLinearMTL | |
| get_C2() | CLibLinearMTL | |
| get_classifier_type() | CLibLinearMTL | virtual |
| get_epsilon() | CLibLinearMTL | |
| get_features() | CLinearMachine | virtual |
| get_global_io() | CSGObject | |
| get_global_parallel() | CSGObject | |
| get_global_version() | CSGObject | |
| get_labels() | CMachine | virtual |
| get_machine_problem_type() const | CMachine | virtual |
| get_max_iterations() | CLibLinearMTL | |
| get_max_train_time() | CMachine | |
| 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 | CLibLinearMTL | virtual |
| get_solver_type() | CMachine | |
| get_V() | CLibLinearMTL | |
| get_W() | CLibLinearMTL | |
| get_w() const | CLinearMachine | virtual |
| graph_laplacian | CLibLinearMTL | protected |
| io | CSGObject | |
| is_data_locked() const | CMachine | |
| is_generic(EPrimitiveType *generic) const | CSGObject | virtual |
| is_label_valid(CLabels *lab) const | CMachine | protectedvirtual |
| load_all_file_parameters(int32_t file_version, int32_t current_version, CSerializableFile *file, const char *prefix="") | CSGObject | |
| load_file_parameters(const SGParamInfo *param_info, int32_t file_version, CSerializableFile *file, const char *prefix="") | CSGObject | |
| load_serializable(CSerializableFile *file, const char *prefix="", int32_t param_version=Version::get_version_parameter()) | CSGObject | virtual |
| load_serializable_post() | CSGObject | protectedvirtual |
| load_serializable_pre() | CSGObject | protectedvirtual |
| m_data_locked | CMachine | protected |
| m_gradient_parameters | CSGObject | |
| m_hash | CSGObject | |
| m_labels | CMachine | protected |
| m_linear_term | CLibLinearMTL | protected |
| m_max_train_time | CMachine | protected |
| m_model_selection_parameters | CSGObject | |
| m_parameter_map | CSGObject | |
| m_parameters | CSGObject | |
| m_solver_type | CMachine | protected |
| m_store_model_features | CMachine | protected |
| map_parameters(DynArray< TParameter * > *param_base, int32_t &base_version, DynArray< const SGParamInfo * > *target_param_infos) | CSGObject | |
| max_iterations | CLibLinearMTL | protected |
| migrate(DynArray< TParameter * > *param_base, const SGParamInfo *target) | CSGObject | protectedvirtual |
| num_tasks | CLibLinearMTL | protected |
| one_to_one_migration_prepare(DynArray< TParameter * > *param_base, const SGParamInfo *target, TParameter *&replacement, TParameter *&to_migrate, char *old_name=NULL) | CSGObject | protectedvirtual |
| parallel | CSGObject | |
| post_lock(CLabels *labs, CFeatures *features) | CMachine | virtual |
| print_modsel_params() | CSGObject | |
| print_serializable(const char *prefix="") | CSGObject | virtual |
| save_serializable(CSerializableFile *file, const char *prefix="", int32_t param_version=Version::get_version_parameter()) | CSGObject | virtual |
| save_serializable_post() | CSGObject | protectedvirtual |
| save_serializable_pre() | CSGObject | protectedvirtual |
| set_bias(float64_t b) | CLinearMachine | virtual |
| set_bias_enabled(bool enable_bias) | CLibLinearMTL | |
| set_C(float64_t c_neg, float64_t c_pos) | CLibLinearMTL | |
| set_epsilon(float64_t eps) | CLibLinearMTL | |
| set_features(CDotFeatures *feat) | CLinearMachine | virtual |
| set_generic() | CSGObject | |
| set_global_io(SGIO *io) | CSGObject | |
| set_global_parallel(Parallel *parallel) | CSGObject | |
| set_global_version(Version *version) | CSGObject | |
| set_graph_laplacian(SGMatrix< float64_t > lap) | CLibLinearMTL | |
| set_labels(CLabels *lab) | CMachine | virtual |
| set_linear_term(SGVector< float64_t > linear_term) | CLibLinearMTL | |
| set_max_iterations(int32_t max_iter=1000) | CLibLinearMTL | |
| set_max_train_time(float64_t t) | CMachine | |
| set_num_tasks(int32_t nt) | CLibLinearMTL | |
| set_solver_type(ESolverType st) | CMachine | |
| set_store_model_features(bool store_model) | CMachine | virtual |
| set_task_indicator_lhs(SGVector< int32_t > ti) | CLibLinearMTL | |
| set_task_indicator_rhs(SGVector< int32_t > ti) | CLibLinearMTL | |
| set_task_similarity_matrix(SGSparseMatrix< float64_t > tsm) | CLibLinearMTL | |
| set_w(const SGVector< float64_t > src_w) | CLinearMachine | virtual |
| shallow_copy() const | CSGObject | virtual |
| store_model_features() | CLinearMachine | protectedvirtual |
| supports_locking() const | CMachine | virtual |
| task_indicator_lhs | CLibLinearMTL | protected |
| task_indicator_rhs | CLibLinearMTL | protected |
| task_similarity_matrix | CLibLinearMTL | protected |
| train(CFeatures *data=NULL) | CMachine | virtual |
| train_locked(SGVector< index_t > indices) | CMachine | virtual |
| train_machine(CFeatures *data=NULL) | CLibLinearMTL | protectedvirtual |
| train_require_labels() const | CMachine | protectedvirtual |
| unset_generic() | CSGObject | |
| update_parameter_hash() | CSGObject | virtual |
| use_bias | CLibLinearMTL | protected |
| V | CLibLinearMTL | protected |
| version | CSGObject | |
| w | CLinearMachine | protected |
| ~CLibLinearMTL() | CLibLinearMTL | virtual |
| ~CLinearMachine() | CLinearMachine | virtual |
| ~CMachine() | CMachine | virtual |
| ~CSGObject() | CSGObject | virtual |
