| apply(CFeatures *data=NULL) | CMachine | virtual |
| apply_binary(CFeatures *data=NULL) | CDomainAdaptationSVMLinear | 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 |
| B | CDomainAdaptationSVMLinear | protected |
| bias | CLinearMachine | protected |
| build_gradient_parameter_dictionary(CMap< TParameter *, CSGObject * > *dict) | CSGObject | |
| C1 | CLibLinear | protected |
| C2 | CLibLinear | protected |
| CDomainAdaptationSVMLinear() | CDomainAdaptationSVMLinear | |
| CDomainAdaptationSVMLinear(float64_t C, CDotFeatures *f, CLabels *lab, CLinearMachine *presvm, float64_t B) | CDomainAdaptationSVMLinear | |
| CLibLinear() | CLibLinear | |
| CLibLinear(LIBLINEAR_SOLVER_TYPE liblinear_solver_type) | CLibLinear | |
| CLibLinear(float64_t C, CDotFeatures *traindat, CLabels *trainlab) | CLibLinear | |
| CLinearMachine() | CLinearMachine | |
| CLinearMachine(bool compute_bias) | CLinearMachine | |
| CLinearMachine(CLinearMachine *machine) | CLinearMachine | |
| clone() | CSGObject | virtual |
| CMachine() | CMachine | |
| compute_bias(CFeatures *data) | CLinearMachine | protected |
| CSGObject() | CSGObject | |
| CSGObject(const CSGObject &orig) | CSGObject | |
| data_lock(CLabels *labs, CFeatures *features) | CMachine | virtual |
| data_unlock() | CMachine | virtual |
| deep_copy() const | CSGObject | virtual |
| epsilon | CLibLinear | protected |
| equals(CSGObject *other, float64_t accuracy=0.0, bool tolerant=false) | CSGObject | virtual |
| features | CLinearMachine | protected |
| get(const Tag< T > &_tag) const | CSGObject | |
| get(const std::string &name) const | CSGObject | |
| get_B() | CDomainAdaptationSVMLinear | virtual |
| get_bias() | CLinearMachine | virtual |
| get_bias_enabled() | CLibLinear | |
| get_C1() | CLibLinear | |
| get_C2() | CLibLinear | |
| get_classifier_type() | CDomainAdaptationSVMLinear | virtual |
| get_compute_bias() | CLinearMachine | virtual |
| get_epsilon() | CLibLinear | |
| get_features() | CLinearMachine | virtual |
| get_global_io() | CSGObject | |
| get_global_parallel() | CSGObject | |
| get_global_version() | CSGObject | |
| get_labels() | CMachine | virtual |
| get_liblinear_solver_type() | CLibLinear | |
| get_linear_term() | CLibLinear | |
| get_machine_problem_type() const | CMachine | virtual |
| get_max_iterations() | CLibLinear | |
| 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 | CDomainAdaptationSVMLinear | virtual |
| get_presvm() | CDomainAdaptationSVMLinear | virtual |
| get_solver_type() | CMachine | |
| get_train_factor() | CDomainAdaptationSVMLinear | virtual |
| get_w() const | CLinearMachine | virtual |
| has(const std::string &name) const | CSGObject | |
| has(const Tag< T > &tag) const | CSGObject | |
| has(const std::string &name) const | CSGObject | |
| init(CLinearMachine *presvm, float64_t B) | CDomainAdaptationSVMLinear | |
| init_linear_term() | CLibLinear | |
| io | CSGObject | |
| is_data_locked() const | CMachine | |
| is_generic(EPrimitiveType *generic) const | CSGObject | virtual |
| is_label_valid(CLabels *lab) const | CMachine | protectedvirtual |
| is_presvm_sane() | CDomainAdaptationSVMLinear | protectedvirtual |
| liblinear_solver_type | CLibLinear | protected |
| load_serializable(CSerializableFile *file, const char *prefix="") | CSGObject | virtual |
| load_serializable_post() | CSGObject | protectedvirtual |
| load_serializable_pre() | CSGObject | protectedvirtual |
| m_compute_bias | CLinearMachine | protected |
| m_data_locked | CMachine | protected |
| m_gradient_parameters | CSGObject | |
| m_hash | CSGObject | |
| m_labels | CMachine | protected |
| m_linear_term | CLibLinear | 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 |
| max_iterations | CLibLinear | protected |
| parallel | CSGObject | |
| parameter_hash_changed() | CSGObject | virtual |
| post_lock(CLabels *labs, CFeatures *features) | CMachine | virtual |
| presvm | CDomainAdaptationSVMLinear | protected |
| 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_bias(float64_t b) | CLinearMachine | virtual |
| set_bias_enabled(bool enable_bias) | CLibLinear | |
| set_C(float64_t c_neg, float64_t c_pos) | CLibLinear | |
| set_compute_bias(bool compute_bias) | CLinearMachine | virtual |
| set_epsilon(float64_t eps) | CLibLinear | |
| set_features(CDotFeatures *feat) | CLinearMachine | 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_liblinear_solver_type(LIBLINEAR_SOLVER_TYPE st) | CLibLinear | |
| set_linear_term(const SGVector< float64_t > linear_term) | CLibLinear | |
| set_max_iterations(int32_t max_iter=1000) | CLibLinear | |
| set_max_train_time(float64_t t) | CMachine | |
| set_solver_type(ESolverType st) | CMachine | |
| set_store_model_features(bool store_model) | CMachine | virtual |
| set_train_factor(float64_t factor) | CDomainAdaptationSVMLinear | virtual |
| 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 |
| train(CFeatures *data=NULL) | CLinearMachine | virtual |
| train_factor | CDomainAdaptationSVMLinear | protected |
| train_locked(SGVector< index_t > indices) | CMachine | virtual |
| train_machine(CFeatures *data=NULL) | CDomainAdaptationSVMLinear | protectedvirtual |
| train_require_labels() const | CMachine | protectedvirtual |
| unset_generic() | CSGObject | |
| update_parameter_hash() | CSGObject | virtual |
| use_bias | CLibLinear | protected |
| version | CSGObject | |
| w | CLinearMachine | protected |
| ~CDomainAdaptationSVMLinear() | CDomainAdaptationSVMLinear | virtual |
| ~CLibLinear() | CLibLinear | virtual |
| ~CLinearMachine() | CLinearMachine | virtual |
| ~CMachine() | CMachine | virtual |
| ~CSGObject() | CSGObject | virtual |
