apply(CFeatures *data=NULL) | CMachine | virtual |
apply_binary(CFeatures *data=NULL) | CLinearMachine | virtual |
apply_get_outputs(CFeatures *data=NULL) | CMultitaskLinearMachine | protectedvirtual |
apply_latent(CFeatures *data=NULL) | CMachine | virtual |
apply_locked(SGVector< index_t > indices) | CMachine | virtual |
apply_locked_binary(SGVector< index_t > indices) | CMultitaskLinearMachine | 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) | CMultitaskLogisticRegression | virtual |
apply_regression(CFeatures *data=NULL) | CLinearMachine | virtual |
apply_structured(CFeatures *data=NULL) | CMachine | virtual |
bias | CLinearMachine | protected |
build_gradient_parameter_dictionary(CMap< TParameter *, CSGObject * > *dict) | CSGObject | |
CLinearMachine() | CLinearMachine | |
CLinearMachine(CLinearMachine *machine) | CLinearMachine | |
clone() | CSGObject | virtual |
CMachine() | CMachine | |
CMultitaskLinearMachine() | CMultitaskLinearMachine | |
CMultitaskLinearMachine(CDotFeatures *training_data, CLabels *training_labels, CTaskRelation *task_relation) | CMultitaskLinearMachine | |
CMultitaskLogisticRegression() | CMultitaskLogisticRegression | |
CMultitaskLogisticRegression(float64_t z, CDotFeatures *training_data, CBinaryLabels *training_labels, CTaskRelation *task_relation) | CMultitaskLogisticRegression | |
CMultitaskTraceLogisticRegression() | CMultitaskTraceLogisticRegression | |
CMultitaskTraceLogisticRegression(float64_t rho, CDotFeatures *training_data, CBinaryLabels *training_labels, CTaskGroup *task_relation) | CMultitaskTraceLogisticRegression | |
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 |
features | CLinearMachine | protected |
get_bias() | CMultitaskLinearMachine | virtual |
get_classifier_type() | CMachine | virtual |
get_current_task() const | CMultitaskLinearMachine | |
get_features() | CLinearMachine | virtual |
get_global_io() | CSGObject | |
get_global_parallel() | CSGObject | |
get_global_version() | CSGObject | |
get_labels() | CMachine | virtual |
get_machine_problem_type() const | CMachine | virtual |
get_max_iter() const | CMultitaskLogisticRegression | |
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 | CMultitaskTraceLogisticRegression | virtual |
get_q() const | CMultitaskLogisticRegression | |
get_regularization() const | CMultitaskLogisticRegression | |
get_rho() const | CMultitaskTraceLogisticRegression | |
get_solver_type() | CMachine | |
get_subset_tasks_indices() | CMultitaskLinearMachine | protected |
get_task_relation() const | CMultitaskLinearMachine | |
get_termination() const | CMultitaskLogisticRegression | |
get_tolerance() const | CMultitaskLogisticRegression | |
get_w() const | CMultitaskLinearMachine | virtual |
get_z() const | CMultitaskLogisticRegression | |
io | CSGObject | |
is_data_locked() const | CMachine | |
is_generic(EPrimitiveType *generic) const | CSGObject | virtual |
is_label_valid(CLabels *lab) const | CMachine | protectedvirtual |
load_serializable(CSerializableFile *file, const char *prefix="") | CSGObject | virtual |
load_serializable_post() | CSGObject | protectedvirtual |
load_serializable_pre() | CSGObject | protectedvirtual |
m_current_task | CMultitaskLinearMachine | protected |
m_data_locked | CMachine | protected |
m_gradient_parameters | CSGObject | |
m_hash | CSGObject | |
m_labels | CMachine | protected |
m_max_iter | CMultitaskLogisticRegression | protected |
m_max_train_time | CMachine | protected |
m_model_selection_parameters | CSGObject | |
m_parameters | CSGObject | |
m_q | CMultitaskLogisticRegression | protected |
m_regularization | CMultitaskLogisticRegression | protected |
m_rho | CMultitaskTraceLogisticRegression | protected |
m_solver_type | CMachine | protected |
m_store_model_features | CMachine | protected |
m_task_relation | CMultitaskLinearMachine | protected |
m_tasks_c | CMultitaskLinearMachine | protected |
m_tasks_indices | CMultitaskLinearMachine | protected |
m_tasks_w | CMultitaskLinearMachine | protected |
m_termination | CMultitaskLogisticRegression | protected |
m_tolerance | CMultitaskLogisticRegression | protected |
m_z | CMultitaskLogisticRegression | protected |
parallel | CSGObject | |
parameter_hash_changed() | CSGObject | virtual |
post_lock(CLabels *labels, CFeatures *features_) | CMultitaskLinearMachine | virtual |
print_modsel_params() | CSGObject | |
print_serializable(const char *prefix="") | CSGObject | virtual |
save_serializable(CSerializableFile *file, const char *prefix="") | CSGObject | virtual |
save_serializable_post() | CSGObject | protectedvirtual |
save_serializable_pre() | CSGObject | protectedvirtual |
set_bias(float64_t b) | CMultitaskLinearMachine | virtual |
set_current_task(int32_t task) | CMultitaskLinearMachine | |
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_max_iter(int32_t max_iter) | CMultitaskLogisticRegression | |
set_max_train_time(float64_t t) | CMachine | |
set_q(float64_t q) | CMultitaskLogisticRegression | |
set_regularization(int32_t regularization) | CMultitaskLogisticRegression | |
set_rho(float64_t rho) | CMultitaskTraceLogisticRegression | |
set_solver_type(ESolverType st) | CMachine | |
set_store_model_features(bool store_model) | CMachine | virtual |
set_task_relation(CTaskRelation *task_relation) | CMultitaskLinearMachine | |
set_termination(int32_t termination) | CMultitaskLogisticRegression | |
set_tolerance(float64_t tolerance) | CMultitaskLogisticRegression | |
set_w(const SGVector< float64_t > src_w) | CMultitaskLinearMachine | virtual |
set_z(float64_t z) | CMultitaskLogisticRegression | |
shallow_copy() const | CSGObject | virtual |
store_model_features() | CLinearMachine | protectedvirtual |
supports_locking() const | CMultitaskLinearMachine | virtual |
train(CFeatures *data=NULL) | CMachine | virtual |
train_locked(SGVector< index_t > indices) | CMultitaskLinearMachine | virtual |
train_locked_implementation(SGVector< index_t > *tasks) | CMultitaskTraceLogisticRegression | protectedvirtual |
train_machine(CFeatures *data=NULL) | CMultitaskTraceLogisticRegression | protectedvirtual |
train_require_labels() const | CMachine | protectedvirtual |
unset_generic() | CSGObject | |
update_parameter_hash() | CSGObject | virtual |
version | CSGObject | |
w | CLinearMachine | protected |
~CLinearMachine() | CLinearMachine | virtual |
~CMachine() | CMachine | virtual |
~CMultitaskLinearMachine() | CMultitaskLinearMachine | virtual |
~CMultitaskLogisticRegression() | CMultitaskLogisticRegression | virtual |
~CMultitaskTraceLogisticRegression() | CMultitaskTraceLogisticRegression | virtual |
~CSGObject() | CSGObject | virtual |