SHOGUN  6.0.0
CCARTree Member List

This is the complete list of members for CCARTree, including all inherited members.

apply(CFeatures *data=NULL)CMachinevirtual
apply_binary(CFeatures *data=NULL)CMachinevirtual
apply_from_current_node(CDenseFeatures< float64_t > *feats, bnode_t *current)CCARTreeprotected
apply_latent(CFeatures *data=NULL)CMachinevirtual
apply_locked(SGVector< index_t > indices)CMachinevirtual
apply_locked_binary(SGVector< index_t > indices)CMachinevirtual
apply_locked_latent(SGVector< index_t > indices)CMachinevirtual
apply_locked_multiclass(SGVector< index_t > indices)CMachinevirtual
apply_locked_regression(SGVector< index_t > indices)CMachinevirtual
apply_locked_structured(SGVector< index_t > indices)CMachinevirtual
apply_multiclass(CFeatures *data=NULL)CCARTreevirtual
apply_one(int32_t i)CMachinevirtual
apply_regression(CFeatures *data=NULL)CCARTreevirtual
apply_structured(CFeatures *data=NULL)CMachinevirtual
bnode_t typedefCTreeMachine< CARTreeNodeData >
build_gradient_parameter_dictionary(CMap< TParameter *, CSGObject *> *dict)CSGObject
CARTtrain(CFeatures *data, SGVector< float64_t > weights, CLabels *labels, int32_t level)CCARTreeprotectedvirtual
CBaseMulticlassMachine()CBaseMulticlassMachine
CCARTree()CCARTree
CCARTree(SGVector< bool > attribute_types, EProblemType prob_type=PT_MULTICLASS)CCARTree
CCARTree(SGVector< bool > attribute_types, EProblemType prob_type, int32_t num_folds, bool cv_prune)CCARTree
clear_feature_types()CCARTree
clear_weights()CCARTree
clone()CSGObjectvirtual
clone_parameters(CSGObject *other)CSGObjectprotected
clone_tree()CTreeMachine< CARTreeNodeData >
CMachine()CMachine
compute_best_attribute(const SGMatrix< float64_t > &mat, const SGVector< float64_t > &weights, CLabels *labels, SGVector< float64_t > &left, SGVector< float64_t > &right, SGVector< bool > &is_left_final, int32_t &num_missing, int32_t &count_left, int32_t &count_right, int32_t subset_size=0, const SGVector< int32_t > &active_indices=SGVector< index_t >())CCARTreeprotectedvirtual
compute_error(CLabels *labels, CLabels *reference, SGVector< float64_t > weights)CCARTreeprotected
CSGObject()CSGObject
CSGObject(const CSGObject &orig)CSGObject
CTreeMachine()CTreeMachine< CARTreeNodeData >
cut_weakest_link(bnode_t *node, float64_t alpha)CCARTreeprotected
data_lock(CLabels *labs, CFeatures *features)CMachinevirtual
data_unlock()CMachinevirtual
deep_copy() constCSGObjectvirtual
EQ_DELTACCARTreestatic
equals(CSGObject *other, float64_t accuracy=0.0, bool tolerant=false)CSGObjectvirtual
find_weakest_alpha(bnode_t *node)CCARTreeprotected
form_t1(bnode_t *node)CCARTreeprotected
gain(SGVector< float64_t > wleft, SGVector< float64_t > wright, SGVector< float64_t > wtotal, SGVector< float64_t > labels)CCARTreeprotected
gain(const SGVector< float64_t > &wleft, const SGVector< float64_t > &wright, const SGVector< float64_t > &wtotal)CCARTreeprotected
get(const Tag< T > &_tag) constCSGObject
get(const std::string &name) constCSGObject
get_classifier_type()CMachinevirtual
get_feature_types() constCCARTree
get_global_io()CSGObject
get_global_parallel()CSGObject
get_global_version()CSGObject
get_label_epsilon()CCARTree
get_labels()CMachinevirtual
get_machine_problem_type() constCCARTreevirtual
get_max_depth() constCCARTree
get_max_train_time()CMachine
get_min_node_size() constCCARTree
get_modelsel_names()CSGObject
get_modsel_param_descr(const char *param_name)CSGObject
get_modsel_param_index(const char *param_name)CSGObject
get_name() constCCARTreevirtual
get_num_folds() constCCARTree
get_num_machines() constCBaseMulticlassMachine
get_root()CTreeMachine< CARTreeNodeData >
get_solver_type()CMachine
get_unique_labels(SGVector< float64_t > labels_vec, int32_t &n_ulabels)CCARTreeprotected
get_weights() constCCARTree
gini_impurity_index(const SGVector< float64_t > &weighted_lab_classes, float64_t &total_weight)CCARTreeprotected
handle_missing_vecs_for_continuous_surrogate(SGMatrix< float64_t > m, CDynamicArray< int32_t > *missing_vecs, CDynamicArray< float64_t > *association_index, CDynamicArray< int32_t > *intersect_vecs, SGVector< bool > is_left, SGVector< float64_t > weights, float64_t p, int32_t attr)CCARTreeprotected
handle_missing_vecs_for_nominal_surrogate(SGMatrix< float64_t > m, CDynamicArray< int32_t > *missing_vecs, CDynamicArray< float64_t > *association_index, CDynamicArray< int32_t > *intersect_vecs, SGVector< bool > is_left, SGVector< float64_t > weights, float64_t p, int32_t attr)CCARTreeprotected
has(const std::string &name) constCSGObject
has(const Tag< T > &tag) constCSGObject
has(const std::string &name) constCSGObject
init()CCARTreeprotected
ioCSGObject
is_data_locked() constCMachine
is_generic(EPrimitiveType *generic) constCSGObjectvirtual
is_label_valid(CLabels *lab) constCCARTreevirtual
least_squares_deviation(const SGVector< float64_t > &labels, const SGVector< float64_t > &weights, float64_t &total_weight)CCARTreeprotected
load_serializable(CSerializableFile *file, const char *prefix="")CSGObjectvirtual
load_serializable_post()CSGObjectprotectedvirtual
load_serializable_pre()CSGObjectprotectedvirtual
m_alphasCCARTreeprotected
m_apply_cv_pruningCCARTreeprotected
m_data_lockedCMachineprotected
m_foldsCCARTreeprotected
m_gradient_parametersCSGObject
m_hashCSGObject
m_label_epsilonCCARTreeprotected
m_labelsCMachineprotected
m_machinesCBaseMulticlassMachineprotected
m_max_depthCCARTreeprotected
m_max_train_timeCMachineprotected
m_min_node_sizeCCARTreeprotected
m_modeCCARTreeprotected
m_model_selection_parametersCSGObject
m_nominalCCARTreeprotected
m_parametersCSGObject
m_pre_sortCCARTreeprotected
m_rootCTreeMachine< CARTreeNodeData >protected
m_solver_typeCMachineprotected
m_sorted_featuresCCARTreeprotected
m_sorted_indicesCCARTreeprotected
m_store_model_featuresCMachineprotected
m_types_setCCARTreeprotected
m_weightsCCARTreeprotected
m_weights_setCCARTreeprotected
MIN_SPLIT_GAINCCARTreestatic
MISSINGCCARTreestatic
node_t typedefCTreeMachine< CARTreeNodeData >
parallelCSGObject
parameter_hash_changed()CSGObjectvirtual
post_lock(CLabels *labs, CFeatures *features)CMachinevirtual
pre_sort_features(CFeatures *data, SGMatrix< float64_t > &sorted_feats, SGMatrix< index_t > &sorted_indices)CCARTree
print_modsel_params()CSGObject
print_serializable(const char *prefix="")CSGObjectvirtual
prune_by_cross_validation(CDenseFeatures< float64_t > *data, int32_t folds)CCARTreeprotected
prune_tree(CTreeMachine< CARTreeNodeData > *tree)CCARTreeprotected
prune_using_test_dataset(CDenseFeatures< float64_t > *feats, CLabels *gnd_truth, SGVector< float64_t > weights=SGVector< float64_t >())CCARTree
register_param(Tag< T > &_tag, const T &value)CSGObjectprotected
register_param(const std::string &name, const T &value)CSGObjectprotected
save_serializable(CSerializableFile *file, const char *prefix="")CSGObjectvirtual
save_serializable_post()CSGObjectprotectedvirtual
save_serializable_pre()CSGObjectprotectedvirtual
set(const Tag< T > &_tag, const T &value)CSGObject
set(const std::string &name, const T &value)CSGObject
set_cv_pruning(bool cv_pruning)CCARTree
set_feature_types(SGVector< bool > ft)CCARTree
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_label_epsilon(float64_t epsilon)CCARTree
set_labels(CLabels *lab)CCARTreevirtual
set_machine_problem_type(EProblemType mode)CCARTree
set_max_depth(int32_t depth)CCARTree
set_max_train_time(float64_t t)CMachine
set_min_node_size(int32_t nsize)CCARTree
set_num_folds(int32_t folds)CCARTree
set_root(CTreeMachineNode< CARTreeNodeData > *root)CTreeMachine< CARTreeNodeData >
set_solver_type(ESolverType st)CMachine
set_sorted_features(SGMatrix< float64_t > &sorted_feats, SGMatrix< index_t > &sorted_indices)CCARTree
set_store_model_features(bool store_model)CMachinevirtual
set_weights(SGVector< float64_t > w)CCARTree
shallow_copy() constCSGObjectvirtual
store_model_features()CTreeMachine< CARTreeNodeData >protectedvirtual
supports_locking() constCMachinevirtual
surrogate_split(SGMatrix< float64_t > data, SGVector< float64_t > weights, SGVector< bool > nm_left, int32_t attr)CCARTreeprotected
train(CFeatures *data=NULL)CMachinevirtual
train_locked(SGVector< index_t > indices)CMachinevirtual
train_machine(CFeatures *data=NULL)CCARTreeprotectedvirtual
train_require_labels() constCMachineprotectedvirtual
unset_generic()CSGObject
update_parameter_hash()CSGObjectvirtual
versionCSGObject
~CBaseMulticlassMachine()CBaseMulticlassMachinevirtual
~CCARTree()CCARTreevirtual
~CMachine()CMachinevirtual
~CSGObject()CSGObjectvirtual
~CTreeMachine()CTreeMachine< CARTreeNodeData >virtual

SHOGUN Machine Learning Toolbox - Documentation