CvDTree Member List

This is the complete list of members for CvDTree, including all inherited members.
calc_error(CvMLData *_data, int type, std::vector< float > *resp=0)CvDTree [virtual]
calc_node_dir(CvDTreeNode *node)CvDTree [protected, virtual]
calc_node_value(CvDTreeNode *node)CvDTree [protected, virtual]
clear()CvDTree [virtual]
cluster_categories(const int *vectors, int vector_count, int var_count, int *sums, int k, int *cluster_labels)CvDTree [protected, virtual]
complete_node_dir(CvDTreeNode *node)CvDTree [protected, virtual]
cut_tree(int T, int fold, double min_alpha)CvDTree [protected, virtual]
cv::DTreeBestSplitFinderCvDTree [friend]
CvDTree()CvDTree
CvStatModel()CvStatModel
dataCvDTree [protected]
default_model_nameCvStatModel [protected]
do_train(const CvMat *_subsample_idx)CvDTree [protected, virtual]
find_best_split(CvDTreeNode *n)CvDTree [protected, virtual]
find_split_cat_class(CvDTreeNode *n, int vi, float init_quality=0, CvDTreeSplit *_split=0, uchar *ext_buf=0)CvDTree [protected, virtual]
find_split_cat_reg(CvDTreeNode *n, int vi, float init_quality=0, CvDTreeSplit *_split=0, uchar *ext_buf=0)CvDTree [protected, virtual]
find_split_ord_class(CvDTreeNode *n, int vi, float init_quality=0, CvDTreeSplit *_split=0, uchar *ext_buf=0)CvDTree [protected, virtual]
find_split_ord_reg(CvDTreeNode *n, int vi, float init_quality=0, CvDTreeSplit *_split=0, uchar *ext_buf=0)CvDTree [protected, virtual]
find_surrogate_split_cat(CvDTreeNode *n, int vi, uchar *ext_buf=0)CvDTree [protected, virtual]
find_surrogate_split_ord(CvDTreeNode *n, int vi, uchar *ext_buf=0)CvDTree [protected, virtual]
free_prune_data(bool cut_tree)CvDTree [protected, virtual]
free_tree()CvDTree [protected, virtual]
get_data()CvDTree
get_pruned_tree_idx() const CvDTree
get_root() const CvDTree
get_var_importance()CvDTree [virtual]
load(const char *filename, const char *name=0)CvStatModel [virtual]
predict(const CvMat *_sample, const CvMat *_missing_data_mask=0, bool preprocessed_input=false) const CvDTree [virtual]
predict(const cv::Mat &_sample, const cv::Mat &_missing_data_mask=cv::Mat(), bool preprocessed_input=false) const CvDTree [virtual]
prune_cv()CvDTree [protected, virtual]
pruned_tree_idxCvDTree
read(CvFileStorage *fs, CvFileNode *node)CvDTree [virtual]
read(CvFileStorage *fs, CvFileNode *node, CvDTreeTrainData *data)CvDTree [virtual]
read_node(CvFileStorage *fs, CvFileNode *node, CvDTreeNode *parent)CvDTree [protected, virtual]
read_split(CvFileStorage *fs, CvFileNode *node)CvDTree [protected, virtual]
read_tree_nodes(CvFileStorage *fs, CvFileNode *node)CvDTree [protected, virtual]
rootCvDTree [protected]
save(const char *filename, const char *name=0) const CvStatModel [virtual]
split_node_data(CvDTreeNode *n)CvDTree [protected, virtual]
train(const CvMat *_train_data, int _tflag, const CvMat *_responses, const CvMat *_var_idx=0, const CvMat *_sample_idx=0, const CvMat *_var_type=0, const CvMat *_missing_mask=0, CvDTreeParams params=CvDTreeParams())CvDTree [virtual]
train(CvMLData *_data, CvDTreeParams _params=CvDTreeParams())CvDTree [virtual]
train(CvDTreeTrainData *_train_data, const CvMat *_subsample_idx)CvDTree [virtual]
train(const cv::Mat &_train_data, int _tflag, const cv::Mat &_responses, const cv::Mat &_var_idx=cv::Mat(), const cv::Mat &_sample_idx=cv::Mat(), const cv::Mat &_var_type=cv::Mat(), const cv::Mat &_missing_mask=cv::Mat(), CvDTreeParams params=CvDTreeParams())CvDTree [virtual]
try_split_node(CvDTreeNode *n)CvDTree [protected, virtual]
update_tree_rnc(int T, int fold)CvDTree [protected, virtual]
var_importanceCvDTree [protected]
write(CvFileStorage *fs, const char *name) const CvDTree [virtual]
write(CvFileStorage *fs) const CvDTree [virtual]
write_node(CvFileStorage *fs, CvDTreeNode *node) const CvDTree [protected, virtual]
write_split(CvFileStorage *fs, CvDTreeSplit *split) const CvDTree [protected, virtual]
write_tree_nodes(CvFileStorage *fs) const CvDTree [protected, virtual]
~CvDTree()CvDTree [virtual]
~CvStatModel()CvStatModel [virtual]