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) | CGaussianProcessRegression | virtual |
apply_structured(CFeatures *data=NULL) | CMachine | virtual |
build_gradient_parameter_dictionary(CMap< TParameter *, CSGObject * > *dict) | CSGObject | |
CGaussianProcessMachine() | CGaussianProcessMachine | |
CGaussianProcessMachine(CInference *method) | CGaussianProcessMachine | |
CGaussianProcessRegression() | CGaussianProcessRegression | |
CGaussianProcessRegression(CInference *method) | CGaussianProcessRegression | |
clone() | CSGObject | virtual |
CMachine() | CMachine | |
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 |
get(const Tag< T > &_tag) const | CSGObject | |
get(const std::string &name) const | CSGObject | |
get_classifier_type() | CGaussianProcessRegression | virtual |
get_global_io() | CSGObject | |
get_global_parallel() | CSGObject | |
get_global_version() | CSGObject | |
get_inference_method() const | CGaussianProcessMachine | |
get_labels() | CMachine | virtual |
get_machine_problem_type() const | CMachine | virtual |
get_max_train_time() | CMachine | |
get_mean_vector(CFeatures *data) | CGaussianProcessRegression | |
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 | CGaussianProcessRegression | virtual |
get_posterior_means(CFeatures *data) | CGaussianProcessMachine | |
get_posterior_variances(CFeatures *data) | CGaussianProcessMachine | |
get_solver_type() | CMachine | |
get_variance_vector(CFeatures *data) | CGaussianProcessRegression | |
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 | CGaussianProcessRegression | protectedvirtual |
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_method | CGaussianProcessMachine | protected |
m_model_selection_parameters | CSGObject | |
m_parameters | CSGObject | |
m_solver_type | CMachine | protected |
m_store_model_features | CMachine | protected |
MACHINE_PROBLEM_TYPE(PT_REGRESSION) | CGaussianProcessRegression | |
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_inference_method(CInference *method) | CGaussianProcessMachine | |
set_labels(CLabels *lab) | CGaussianProcessMachine | virtual |
set_max_train_time(float64_t t) | CMachine | |
set_solver_type(ESolverType st) | CMachine | |
set_store_model_features(bool store_model) | CMachine | virtual |
shallow_copy() const | CSGObject | virtual |
store_model_features() | CGaussianProcessMachine | virtual |
supports_locking() const | CMachine | virtual |
train(CFeatures *data=NULL) | CMachine | virtual |
train_locked(SGVector< index_t > indices) | CMachine | virtual |
train_machine(CFeatures *data=NULL) | CGaussianProcessRegression | protectedvirtual |
train_require_labels() const | CMachine | protectedvirtual |
unset_generic() | CSGObject | |
update_parameter_hash() | CSGObject | virtual |
version | CSGObject | |
~CGaussianProcessMachine() | CGaussianProcessMachine | virtual |
~CGaussianProcessRegression() | CGaussianProcessRegression | virtual |
~CMachine() | CMachine | virtual |
~CSGObject() | CSGObject | virtual |