| add_quadratic_pair(char *pair) | CVowpalWabbit | |
| apply(CFeatures *data=NULL) | CMachine | virtual |
| apply_binary(CFeatures *data=NULL) | COnlineLinearMachine | virtual |
| apply_get_outputs(CFeatures *data) | COnlineLinearMachine | protected |
| 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) | COnlineLinearMachine | virtual |
| apply_one(float32_t *vec, int32_t len) | COnlineLinearMachine | virtual |
| apply_regression(CFeatures *data=NULL) | COnlineLinearMachine | virtual |
| apply_structured(CFeatures *data=NULL) | CMachine | virtual |
| apply_to_current_example() | COnlineLinearMachine | virtual |
| bias | COnlineLinearMachine | protected |
| build_gradient_parameter_dictionary(CMap< TParameter *, CSGObject * > *dict) | CSGObject | |
| clone() | CSGObject | virtual |
| CMachine() | CMachine | |
| compute_exact_norm(VwExample *&ex, float32_t &sum_abs_x) | CVowpalWabbit | |
| compute_exact_norm_quad(float32_t *weights, VwFeature &page_feature, v_array< VwFeature > &offer_features, vw_size_t mask, float32_t g, float32_t &sum_abs_x) | CVowpalWabbit | |
| COnlineLinearMachine() | COnlineLinearMachine | |
| CSGObject() | CSGObject | |
| CSGObject(const CSGObject &orig) | CSGObject | |
| CVowpalWabbit() | CVowpalWabbit | |
| CVowpalWabbit(CStreamingVwFeatures *feat) | CVowpalWabbit | |
| CVowpalWabbit(CVowpalWabbit *vw) | CVowpalWabbit | |
| data_lock(CLabels *labs, CFeatures *features) | CMachine | virtual |
| data_unlock() | CMachine | virtual |
| deep_copy() const | CSGObject | virtual |
| env | CVowpalWabbit | protected |
| equals(CSGObject *other, float64_t accuracy=0.0, bool tolerant=false) | CSGObject | virtual |
| features | CVowpalWabbit | protected |
| get(const Tag< T > &_tag) const | CSGObject | |
| get(const std::string &name) const | CSGObject | |
| get_bias() | COnlineLinearMachine | virtual |
| get_classifier_type() | CMachine | virtual |
| get_env() | CVowpalWabbit | virtual |
| get_features() | COnlineLinearMachine | virtual |
| get_global_io() | CSGObject | |
| get_global_parallel() | CSGObject | |
| get_global_version() | CSGObject | |
| get_labels() | CMachine | virtual |
| get_learner() | CVowpalWabbit | |
| 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 | CVowpalWabbit | virtual |
| get_solver_type() | CMachine | |
| get_w(float32_t *&dst_w, int32_t &dst_dims) | COnlineLinearMachine | virtual |
| get_w(float64_t *&dst_w, int32_t &dst_dims) | COnlineLinearMachine | virtual |
| get_w() | COnlineLinearMachine | virtual |
| has(const std::string &name) const | CSGObject | |
| has(const Tag< T > &tag) const | CSGObject | |
| has(const std::string &name) const | CSGObject | |
| io | CSGObject | |
| is_data_locked() const | CMachine | |
| is_generic(EPrimitiveType *generic) const | CSGObject | virtual |
| is_label_valid(CLabels *lab) const | CMachine | protectedvirtual |
| learner | CVowpalWabbit | protected |
| load_regressor(char *file_name) | CVowpalWabbit | |
| 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_gradient_parameters | CSGObject | |
| m_hash | CSGObject | |
| m_labels | CMachine | protected |
| m_max_train_time | CMachine | protected |
| m_model_selection_parameters | CSGObject | |
| m_parameters | CSGObject | |
| m_solver_type | CMachine | protected |
| m_store_model_features | CMachine | protected |
| MACHINE_PROBLEM_TYPE(PT_BINARY) | CVowpalWabbit | |
| parallel | CSGObject | |
| parameter_hash_changed() | CSGObject | virtual |
| post_lock(CLabels *labs, CFeatures *features) | CMachine | virtual |
| predict_and_finalize(VwExample *ex) | CVowpalWabbit | virtual |
| print_modsel_params() | CSGObject | |
| print_serializable(const char *prefix="") | CSGObject | virtual |
| reg | CVowpalWabbit | protected |
| register_param(Tag< T > &_tag, const T &value) | CSGObject | protected |
| register_param(const std::string &name, const T &value) | CSGObject | protected |
| reinitialize_weights() | CVowpalWabbit | |
| 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_adaptive(bool adaptive_learning) | CVowpalWabbit | |
| set_bias(float32_t b) | COnlineLinearMachine | virtual |
| set_exact_adaptive_norm(bool exact_adaptive) | CVowpalWabbit | |
| set_features(CStreamingDotFeatures *feat) | COnlineLinearMachine | 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) | CMachine | virtual |
| set_learner() | CVowpalWabbit | virtual |
| set_max_train_time(float64_t t) | CMachine | |
| set_no_training(bool dont_train) | CVowpalWabbit | |
| set_num_passes(int32_t passes) | CVowpalWabbit | |
| set_prediction_out(char *file_name) | CVowpalWabbit | |
| set_regressor_out(char *file_name, bool is_text=true) | CVowpalWabbit | |
| set_solver_type(ESolverType st) | CMachine | |
| set_store_model_features(bool store_model) | CMachine | virtual |
| set_w(float32_t *src_w, int32_t src_w_dim) | COnlineLinearMachine | virtual |
| set_w(float64_t *src_w, int32_t src_w_dim) | COnlineLinearMachine | virtual |
| shallow_copy() const | CSGObject | virtual |
| start_train() | COnlineLinearMachine | virtual |
| stop_train() | COnlineLinearMachine | virtual |
| store_model_features() | CMachine | protectedvirtual |
| supports_locking() const | CMachine | virtual |
| train(CFeatures *data=NULL) | CMachine | virtual |
| train_example(CStreamingDotFeatures *feature, float64_t label) | COnlineLinearMachine | virtual |
| train_locked(SGVector< index_t > indices) | CMachine | virtual |
| train_machine(CFeatures *feat=NULL) | CVowpalWabbit | virtual |
| train_require_labels() const | COnlineLinearMachine | protectedvirtual |
| unset_generic() | CSGObject | |
| update_parameter_hash() | CSGObject | virtual |
| version | CSGObject | |
| w | COnlineLinearMachine | protected |
| w_dim | COnlineLinearMachine | protected |
| ~CMachine() | CMachine | virtual |
| ~COnlineLinearMachine() | COnlineLinearMachine | virtual |
| ~CSGObject() | CSGObject | virtual |
| ~CVowpalWabbit() | CVowpalWabbit | |
