# CvForestERTree Member List

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

calc_error(CvMLData *trainData, int type, std::vector< float > *resp=0) | CvDTree | `[virtual]`
calc_node_dir(CvDTreeNode *node) | CvForestERTree | `[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::DTreeBestSplitFinder | CvDTree | `[friend]`
cv::ForestTreeBestSplitFinder | CvForestTree | `[friend]`
CvDTree() | CvDTree |
CvForestTree() | CvForestTree |
CvStatModel() | CvStatModel |
data | CvDTree | `[protected]`
default_model_name | CvStatModel | `[protected]`
do_train(const CvMat *_subsample_idx) | CvDTree | `[protected, virtual]`
find_best_split(CvDTreeNode *n) | CvForestTree | `[protected, virtual]`
find_split_cat_class(CvDTreeNode *n, int vi, float init_quality=0, CvDTreeSplit *_split=0, uchar *ext_buf=0) | CvForestERTree | `[protected, virtual]`
find_split_cat_reg(CvDTreeNode *n, int vi, float init_quality=0, CvDTreeSplit *_split=0, uchar *ext_buf=0) | CvForestERTree | `[protected, virtual]`
find_split_ord_class(CvDTreeNode *n, int vi, float init_quality=0, CvDTreeSplit *_split=0, uchar *ext_buf=0) | CvForestERTree | `[protected, virtual]`
find_split_ord_reg(CvDTreeNode *n, int vi, float init_quality=0, CvDTreeSplit *_split=0, uchar *ext_buf=0) | CvForestERTree | `[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]`
forest | CvForestTree | `[protected]`
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_count() const | CvForestTree | `[inline, virtual]`
get_var_importance() | CvDTree | `[virtual]`
getVarImportance() | CvDTree | `[virtual]`
load(const char *filename, const char *name=0) | CvStatModel | `[virtual]`
predict(const CvMat *sample, const CvMat *missingDataMask=0, bool preprocessedInput=false) const | CvDTree | `[virtual]`
predict(const cv::Mat &sample, const cv::Mat &missingDataMask=cv::Mat(), bool preprocessedInput=false) const | CvDTree | `[virtual]`
prune_cv() | CvDTree | `[protected, virtual]`
pruned_tree_idx | CvDTree |
read(CvFileStorage *fs, CvFileNode *node, CvRTrees *forest, CvDTreeTrainData *_data) | CvForestTree | `[virtual]`
read(CvFileStorage *fs, CvFileNode *node) | CvForestTree | `[virtual]`
read(CvFileStorage *fs, CvFileNode *node, CvDTreeTrainData *data) | CvForestTree | `[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]`
root | CvDTree | `[protected]`
save(const char *filename, const char *name=0) const | CvStatModel | `[virtual]`
split_node_data(CvDTreeNode *n) | CvForestERTree | `[protected, virtual]`
train(CvDTreeTrainData *trainData, const CvMat *_subsample_idx, CvRTrees *forest) | CvForestTree | `[virtual]`
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()) | CvForestTree | `[virtual]`
train(CvDTreeTrainData *trainData, const CvMat *_subsample_idx) | CvForestTree | `[virtual]`
CvDTree::train(CvMLData *trainData, CvDTreeParams params=CvDTreeParams()) | CvDTree | `[virtual]`
CvDTree::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()) | CvDTree | `[virtual]`
try_split_node(CvDTreeNode *n) | CvDTree | `[protected, virtual]`
update_tree_rnc(int T, int fold) | CvDTree | `[protected, virtual]`
var_importance | CvDTree | `[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]`
~CvForestTree() | CvForestTree | `[virtual]`
~CvStatModel() | CvStatModel | `[virtual]`

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