| add_machine_subset(SGVector< index_t > subset) | CNativeMulticlassMachine | protectedvirtual |
| apply(CFeatures *data=NULL) | CMachine | virtual |
| apply_binary(CFeatures *data=NULL) | CMachine | virtual |
| 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) | CGaussianNaiveBayes | virtual |
| apply_multilabel_output(CFeatures *data=NULL, int32_t n_outputs=5) | CMulticlassMachine | virtual |
| apply_one(int32_t idx) | CGaussianNaiveBayes | virtual |
| apply_regression(CFeatures *data=NULL) | CMachine | virtual |
| apply_structured(CFeatures *data=NULL) | CMachine | virtual |
| build_gradient_parameter_dictionary(CMap< TParameter *, CSGObject * > *dict) | CSGObject | |
| CBaseMulticlassMachine() | CBaseMulticlassMachine | |
| CGaussianNaiveBayes() | CGaussianNaiveBayes | |
| CGaussianNaiveBayes(CFeatures *train_examples, CLabels *train_labels) | CGaussianNaiveBayes | |
| clear_machines() | CNativeMulticlassMachine | protected |
| clone() | CSGObject | virtual |
| CMachine() | CMachine | |
| CMulticlassMachine() | CMulticlassMachine | |
| CMulticlassMachine(CMulticlassStrategy *strategy, CMachine *machine, CLabels *labels) | CMulticlassMachine | |
| CNativeMulticlassMachine() | CNativeMulticlassMachine | |
| CSGObject() | CSGObject | |
| CSGObject(const CSGObject &orig) | CSGObject | |
| data_lock(CLabels *labs, CFeatures *features) | CMachine | virtual |
| data_unlock() | CMachine | virtual |
| deep_copy() const | CSGObject | virtual |
| equals(CSGObject *other, float64_t accuracy=0.0, bool tolerant=false) | CSGObject | virtual |
| get(const Tag< T > &_tag) const | CSGObject | |
| get(const std::string &name) const | CSGObject | |
| get_classifier_type() | CGaussianNaiveBayes | virtual |
| get_features() | CGaussianNaiveBayes | virtual |
| get_global_io() | CSGObject | |
| get_global_parallel() | CSGObject | |
| get_global_version() | CSGObject | |
| get_labels() | CMachine | virtual |
| get_machine(int32_t num) const | CMulticlassMachine | |
| get_machine_from_trained(CMachine *machine) | CNativeMulticlassMachine | protectedvirtual |
| get_machine_problem_type() const | CBaseMulticlassMachine | virtual |
| 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_multiclass_strategy() const | CMulticlassMachine | |
| get_name() const | CGaussianNaiveBayes | virtual |
| get_num_machines() const | CBaseMulticlassMachine | |
| get_num_rhs_vectors() | CNativeMulticlassMachine | protectedvirtual |
| get_prob_heuris() | CMulticlassMachine | |
| get_rejection_strategy() const | CMulticlassMachine | |
| get_solver_type() | CMachine | |
| get_submachine_output(int32_t i, int32_t num) | CMulticlassMachine | virtual |
| get_submachine_outputs(int32_t i) | CMulticlassMachine | virtual |
| has(const std::string &name) const | CSGObject | |
| has(const Tag< T > &tag) const | CSGObject | |
| has(const std::string &name) const | CSGObject | |
| init_machine_for_train(CFeatures *data) | CNativeMulticlassMachine | protectedvirtual |
| init_machines_for_apply(CFeatures *data) | CNativeMulticlassMachine | protectedvirtual |
| init_strategy() | CNativeMulticlassMachine | protected |
| io | CSGObject | |
| is_acceptable_machine(CMachine *machine) | CNativeMulticlassMachine | protectedvirtual |
| is_data_locked() const | CMachine | |
| is_generic(EPrimitiveType *generic) const | CSGObject | virtual |
| is_label_valid(CLabels *lab) const | CBaseMulticlassMachine | virtual |
| is_ready() | CNativeMulticlassMachine | protectedvirtual |
| load_serializable(CSerializableFile *file, const char *prefix="") | CSGObject | virtual |
| load_serializable_post() | CSGObject | protectedvirtual |
| load_serializable_pre() | CSGObject | protectedvirtual |
| m_data_locked | CMachine | protected |
| m_dim | CGaussianNaiveBayes | protected |
| m_features | CGaussianNaiveBayes | protected |
| m_gradient_parameters | CSGObject | |
| m_hash | CSGObject | |
| m_label_prob | CGaussianNaiveBayes | protected |
| m_labels | CMachine | protected |
| m_machine | CMulticlassMachine | protected |
| m_machines | CBaseMulticlassMachine | protected |
| m_max_train_time | CMachine | protected |
| m_means | CGaussianNaiveBayes | protected |
| m_min_label | CGaussianNaiveBayes | protected |
| m_model_selection_parameters | CSGObject | |
| m_multiclass_strategy | CMulticlassMachine | protected |
| m_num_classes | CGaussianNaiveBayes | protected |
| m_parameters | CSGObject | |
| m_rates | CGaussianNaiveBayes | protected |
| m_solver_type | CMachine | protected |
| m_store_model_features | CMachine | protected |
| m_variances | CGaussianNaiveBayes | protected |
| parallel | CSGObject | |
| parameter_hash_changed() | CSGObject | virtual |
| post_lock(CLabels *labs, CFeatures *features) | CMachine | virtual |
| print_modsel_params() | CSGObject | |
| print_serializable(const char *prefix="") | CSGObject | virtual |
| register_param(Tag< T > &_tag, const T &value) | CSGObject | protected |
| register_param(const std::string &name, const T &value) | CSGObject | protected |
| remove_machine_subset() | CNativeMulticlassMachine | protectedvirtual |
| save_serializable(CSerializableFile *file, const char *prefix="") | CSGObject | virtual |
| save_serializable_post() | CSGObject | protectedvirtual |
| save_serializable_pre() | CSGObject | protectedvirtual |
| set(const Tag< T > &_tag, const T &value) | CSGObject | |
| set(const std::string &name, const T &value) | CSGObject | |
| set_features(CFeatures *features) | CGaussianNaiveBayes | virtual |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_global_io(SGIO *io) | CSGObject | |
| set_global_parallel(Parallel *parallel) | CSGObject | |
| set_global_version(Version *version) | CSGObject | |
| set_labels(CLabels *lab) | CMulticlassMachine | virtual |
| set_machine(int32_t num, CMachine *machine) | CMulticlassMachine | |
| set_max_train_time(float64_t t) | CMachine | |
| set_prob_heuris(EProbHeuristicType prob_heuris) | CMulticlassMachine | |
| set_rejection_strategy(CRejectionStrategy *rejection_strategy) | CMulticlassMachine | |
| set_solver_type(ESolverType st) | CMachine | |
| set_store_model_features(bool store_model) | CMachine | virtual |
| shallow_copy() const | CSGObject | virtual |
| store_model_features() | CMachine | protectedvirtual |
| supports_locking() const | CMachine | virtual |
| train(CFeatures *data=NULL) | CMachine | virtual |
| train_locked(SGVector< index_t > indices) | CMachine | virtual |
| train_machine(CFeatures *data=NULL) | CGaussianNaiveBayes | protectedvirtual |
| train_require_labels() const | CMachine | protectedvirtual |
| unset_generic() | CSGObject | |
| update_parameter_hash() | CSGObject | virtual |
| version | CSGObject | |
| ~CBaseMulticlassMachine() | CBaseMulticlassMachine | virtual |
| ~CGaussianNaiveBayes() | CGaussianNaiveBayes | virtual |
| ~CMachine() | CMachine | virtual |
| ~CMulticlassMachine() | CMulticlassMachine | virtual |
| ~CNativeMulticlassMachine() | CNativeMulticlassMachine | virtual |
| ~CSGObject() | CSGObject | virtual |
