OpenCV  2.4.13.6
Open Source Computer Vision
CvDTree Member List

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

calc_error(CvMLData *trainData, int type, std::vector< float > *resp=0)CvDTreevirtual
calc_node_dir(CvDTreeNode *node)CvDTreeprotectedvirtual
calc_node_value(CvDTreeNode *node)CvDTreeprotectedvirtual
clear()CvDTreevirtual
cluster_categories(const int *vectors, int vector_count, int var_count, int *sums, int k, int *cluster_labels)CvDTreeprotectedvirtual
complete_node_dir(CvDTreeNode *node)CvDTreeprotectedvirtual
cut_tree(int T, int fold, double min_alpha)CvDTreeprotectedvirtual
cv::DTreeBestSplitFinderCvDTreefriend
CvDTree()CvDTree
CvStatModel()CvStatModel
dataCvDTreeprotected
default_model_nameCvStatModelprotected
do_train(const CvMat *_subsample_idx)CvDTreeprotectedvirtual
find_best_split(CvDTreeNode *n)CvDTreeprotectedvirtual
find_split_cat_class(CvDTreeNode *n, int vi, float init_quality=0, CvDTreeSplit *_split=0, uchar *ext_buf=0)CvDTreeprotectedvirtual
find_split_cat_reg(CvDTreeNode *n, int vi, float init_quality=0, CvDTreeSplit *_split=0, uchar *ext_buf=0)CvDTreeprotectedvirtual
find_split_ord_class(CvDTreeNode *n, int vi, float init_quality=0, CvDTreeSplit *_split=0, uchar *ext_buf=0)CvDTreeprotectedvirtual
find_split_ord_reg(CvDTreeNode *n, int vi, float init_quality=0, CvDTreeSplit *_split=0, uchar *ext_buf=0)CvDTreeprotectedvirtual
find_surrogate_split_cat(CvDTreeNode *n, int vi, uchar *ext_buf=0)CvDTreeprotectedvirtual
find_surrogate_split_ord(CvDTreeNode *n, int vi, uchar *ext_buf=0)CvDTreeprotectedvirtual
free_prune_data(bool cut_tree)CvDTreeprotectedvirtual
free_tree()CvDTreeprotectedvirtual
get_data()CvDTree
get_pruned_tree_idx() constCvDTree
get_root() constCvDTree
get_var_importance()CvDTreevirtual
getVarImportance()CvDTreevirtual
load(const char *filename, const char *name=0)CvStatModelvirtual
predict(const CvMat *sample, const CvMat *missingDataMask=0, bool preprocessedInput=false) constCvDTreevirtual
predict(const cv::Mat &sample, const cv::Mat &missingDataMask=cv::Mat(), bool preprocessedInput=false) constCvDTreevirtual
prune_cv()CvDTreeprotectedvirtual
pruned_tree_idxCvDTree
read(CvFileStorage *fs, CvFileNode *node)CvDTreevirtual
read(CvFileStorage *fs, CvFileNode *node, CvDTreeTrainData *data)CvDTreevirtual
read_node(CvFileStorage *fs, CvFileNode *node, CvDTreeNode *parent)CvDTreeprotectedvirtual
read_split(CvFileStorage *fs, CvFileNode *node)CvDTreeprotectedvirtual
read_tree_nodes(CvFileStorage *fs, CvFileNode *node)CvDTreeprotectedvirtual
rootCvDTreeprotected
save(const char *filename, const char *name=0) constCvStatModelvirtual
split_node_data(CvDTreeNode *n)CvDTreeprotectedvirtual
train(const CvMat *trainData, int tflag, const CvMat *responses, const CvMat *varIdx=0, const CvMat *sampleIdx=0, const CvMat *varType=0, const CvMat *missingDataMask=0, CvDTreeParams params=CvDTreeParams())CvDTreevirtual
train(CvMLData *trainData, CvDTreeParams params=CvDTreeParams())CvDTreevirtual
train(CvDTreeTrainData *trainData, const CvMat *subsampleIdx)CvDTreevirtual
train(const cv::Mat &trainData, int tflag, const cv::Mat &responses, const cv::Mat &varIdx=cv::Mat(), const cv::Mat &sampleIdx=cv::Mat(), const cv::Mat &varType=cv::Mat(), const cv::Mat &missingDataMask=cv::Mat(), CvDTreeParams params=CvDTreeParams())CvDTreevirtual
try_split_node(CvDTreeNode *n)CvDTreeprotectedvirtual
update_tree_rnc(int T, int fold)CvDTreeprotectedvirtual
var_importanceCvDTreeprotected
write(CvFileStorage *fs, const char *name) constCvDTreevirtual
write(CvFileStorage *fs) constCvDTreevirtual
write_node(CvFileStorage *fs, CvDTreeNode *node) constCvDTreeprotectedvirtual
write_split(CvFileStorage *fs, CvDTreeSplit *split) constCvDTreeprotectedvirtual
write_tree_nodes(CvFileStorage *fs) constCvDTreeprotectedvirtual
~CvDTree()CvDTreevirtual
~CvStatModel()CvStatModelvirtual