| 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) | CMachine | virtual |
| apply_one(int32_t i) | CMachine | virtual |
| apply_regression(CFeatures *data=NULL) | CStochasticGBMachine | virtual |
| apply_structured(CFeatures *data=NULL) | CMachine | virtual |
| apply_subset(CDenseFeatures< float64_t > *f, CLabels *interf) | CStochasticGBMachine | protected |
| build_gradient_parameter_dictionary(CMap< TParameter *, CSGObject * > *dict) | CSGObject | |
| clone() | CSGObject | virtual |
| CMachine() | CMachine | |
| compute_multiplier(CRegressionLabels *f, CRegressionLabels *hm) | CStochasticGBMachine | protected |
| compute_pseudo_residuals(CRegressionLabels *inter_f) | CStochasticGBMachine | protected |
| CSGObject() | CSGObject | |
| CSGObject(const CSGObject &orig) | CSGObject | |
| CStochasticGBMachine(CMachine *machine=NULL, CLossFunction *loss=NULL, int32_t num_iterations=100, float64_t learning_rate=1.0, float64_t subset_fraction=0.6) | CStochasticGBMachine | |
| 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 |
| fit_model(CDenseFeatures< float64_t > *feats, CRegressionLabels *labels) | CStochasticGBMachine | protected |
| get(const Tag< T > &_tag) const | CSGObject | |
| get(const std::string &name) const | CSGObject | |
| get_classifier_type() | CMachine | virtual |
| get_gamma(void *instance) | CStochasticGBMachine | protected |
| get_global_io() | CSGObject | |
| get_global_parallel() | CSGObject | |
| get_global_version() | CSGObject | |
| get_labels() | CMachine | virtual |
| get_learning_rate() const | CStochasticGBMachine | |
| get_loss_function() const | CStochasticGBMachine | virtual |
| get_machine() const | CStochasticGBMachine | |
| get_machine_problem_type() const | CMachine | 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 | CStochasticGBMachine | virtual |
| get_num_iterations() const | CStochasticGBMachine | |
| get_solver_type() | CMachine | |
| get_subset_fraction() const | CStochasticGBMachine | |
| has(const std::string &name) const | CSGObject | |
| has(const Tag< T > &tag) const | CSGObject | |
| has(const std::string &name) const | CSGObject | |
| init() | CStochasticGBMachine | protected |
| initialize_learners() | CStochasticGBMachine | protected |
| io | CSGObject | |
| is_data_locked() const | CMachine | |
| is_generic(EPrimitiveType *generic) const | CSGObject | virtual |
| is_label_valid(CLabels *lab) const | CMachine | protectedvirtual |
| lbfgs_evaluate(void *obj, const float64_t *parameters, float64_t *gradient, const int dim, const float64_t step) | CStochasticGBMachine | protectedstatic |
| 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_gamma | CStochasticGBMachine | protected |
| m_gradient_parameters | CSGObject | |
| m_hash | CSGObject | |
| m_labels | CMachine | protected |
| m_learning_rate | CStochasticGBMachine | protected |
| m_loss | CStochasticGBMachine | protected |
| m_machine | CStochasticGBMachine | protected |
| m_max_train_time | CMachine | protected |
| m_model_selection_parameters | CSGObject | |
| m_num_iter | CStochasticGBMachine | protected |
| m_parameters | CSGObject | |
| m_solver_type | CMachine | protected |
| m_store_model_features | CMachine | protected |
| m_subset_frac | CStochasticGBMachine | protected |
| m_weak_learners | CStochasticGBMachine | 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 |
| 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_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) | CMachine | virtual |
| set_learning_rate(float64_t lr) | CStochasticGBMachine | |
| set_loss_function(CLossFunction *f) | CStochasticGBMachine | virtual |
| set_machine(CMachine *machine) | CStochasticGBMachine | |
| set_max_train_time(float64_t t) | CMachine | |
| set_num_iterations(int32_t iter) | CStochasticGBMachine | |
| set_solver_type(ESolverType st) | CMachine | |
| set_store_model_features(bool store_model) | CMachine | virtual |
| set_subset_fraction(float64_t frac) | CStochasticGBMachine | |
| 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) | CStochasticGBMachine | protectedvirtual |
| train_require_labels() const | CMachine | protectedvirtual |
| unset_generic() | CSGObject | |
| update_parameter_hash() | CSGObject | virtual |
| version | CSGObject | |
| ~CMachine() | CMachine | virtual |
| ~CSGObject() | CSGObject | virtual |
| ~CStochasticGBMachine() | CStochasticGBMachine | virtual |
