| accumulate_conditional_probability(node_t *leaf) | CConditionalProbabilityTree | protected |
| 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) | CConditionalProbabilityTree | virtual |
| apply_multiclass_example(SGVector< float32_t > ex) | CConditionalProbabilityTree | virtual |
| apply_one(int32_t i) | CMachine | 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 | |
| CConditionalProbabilityTree(int32_t num_passes=1) | CConditionalProbabilityTree | |
| clone() | CSGObject | virtual |
| CMachine() | CMachine | |
| compute_conditional_probabilities(SGVector< float32_t > ex) | CConditionalProbabilityTree | protected |
| create_machine(SGVector< float32_t > ex) | CConditionalProbabilityTree | protected |
| CSGObject() | CSGObject | |
| CSGObject(const CSGObject &orig) | CSGObject | |
| CTreeMachine() | CTreeMachine< ConditionalProbabilityTreeNodeData > | |
| 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) | CSGObject | virtual |
| get_classifier_type() | CMachine | virtual |
| get_global_io() | CSGObject | |
| get_global_parallel() | CSGObject | |
| get_global_version() | CSGObject | |
| get_labels() | CMachine | virtual |
| 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_name() const | CConditionalProbabilityTree | virtual |
| get_num_machines() const | CBaseMulticlassMachine | |
| get_num_passes() const | CConditionalProbabilityTree | |
| get_solver_type() | CMachine | |
| io | CSGObject | |
| is_data_locked() const | CMachine | |
| is_generic(EPrimitiveType *generic) const | CSGObject | virtual |
| is_label_valid(CLabels *lab) const | CBaseMulticlassMachine | virtual |
| 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_feats | CConditionalProbabilityTree | protected |
| m_gradient_parameters | CSGObject | |
| m_hash | CSGObject | |
| m_labels | CMachine | protected |
| m_leaves | CConditionalProbabilityTree | protected |
| m_machines | CBaseMulticlassMachine | protected |
| m_max_train_time | CMachine | protected |
| m_model_selection_parameters | CSGObject | |
| m_num_passes | CConditionalProbabilityTree | protected |
| m_parameter_map | CSGObject | |
| m_parameters | CSGObject | |
| m_root | CTreeMachine< ConditionalProbabilityTreeNodeData > | protected |
| 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 | |
| migrate(DynArray< TParameter * > *param_base, const SGParamInfo *target) | CSGObject | protectedvirtual |
| node_t typedef | CTreeMachine< ConditionalProbabilityTreeNodeData > | |
| 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 |
| predict_node(SGVector< float32_t > ex, node_t *node) | CConditionalProbabilityTree | protected |
| print_modsel_params() | CSGObject | |
| print_serializable(const char *prefix="") | CSGObject | virtual |
| print_tree() | CConditionalProbabilityTree | |
| 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_features(CStreamingDenseFeatures< float32_t > *feats) | CConditionalProbabilityTree | |
| 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) | CMachine | virtual |
| set_max_train_time(float64_t t) | CMachine | |
| set_num_passes(int32_t num_passes) | CConditionalProbabilityTree | |
| 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_example(SGVector< float32_t > ex, int32_t label) | CConditionalProbabilityTree | protected |
| train_locked(SGVector< index_t > indices) | CMachine | virtual |
| train_machine(CFeatures *data) | CConditionalProbabilityTree | protectedvirtual |
| train_node(SGVector< float32_t > ex, float64_t label, node_t *node) | CConditionalProbabilityTree | protected |
| train_path(SGVector< float32_t > ex, node_t *node) | CConditionalProbabilityTree | protected |
| train_require_labels() const | CConditionalProbabilityTree | protectedvirtual |
| unset_generic() | CSGObject | |
| update_parameter_hash() | CSGObject | virtual |
| version | CSGObject | |
| which_subtree(node_t *node, SGVector< float32_t > ex)=0 | CConditionalProbabilityTree | protectedpure virtual |
| ~CBaseMulticlassMachine() | CBaseMulticlassMachine | virtual |
| ~CConditionalProbabilityTree() | CConditionalProbabilityTree | virtual |
| ~CMachine() | CMachine | virtual |
| ~CSGObject() | CSGObject | virtual |
| ~CTreeMachine() | CTreeMachine< ConditionalProbabilityTreeNodeData > | virtual |
