This is the complete list of members for CvERTrees, including all inherited members.
active_var_mask | CvRTrees | protected |
calc_error(CvMLData *data, int type, std::vector< float > *resp=0) | CvRTrees | virtual |
clear() | CvRTrees | virtual |
CvERTrees() | CvERTrees | |
CvRTrees() | CvRTrees | |
CvStatModel() | CvStatModel | |
data | CvRTrees | protected |
default_model_name | CvStatModel | protected |
get_active_var_mask() | CvRTrees | |
get_proximity(const CvMat *sample1, const CvMat *sample2, const CvMat *missing1=0, const CvMat *missing2=0) const | CvRTrees | virtual |
get_rng() | CvRTrees | |
get_train_error() | CvRTrees | virtual |
get_tree(int i) const | CvRTrees | |
get_tree_count() const | CvRTrees | |
get_var_importance() | CvRTrees | virtual |
getName() const | CvERTrees | protectedvirtual |
getVarImportance() | CvRTrees | virtual |
grow_forest(const CvTermCriteria term_crit) | CvERTrees | protectedvirtual |
load(const char *filename, const char *name=0) | CvStatModel | virtual |
nclasses | CvRTrees | protected |
nsamples | CvRTrees | protected |
ntrees | CvRTrees | protected |
oob_error | CvRTrees | protected |
predict(const CvMat *sample, const CvMat *missing=0) const | CvRTrees | virtual |
predict(const cv::Mat &sample, const cv::Mat &missing=cv::Mat()) const | CvRTrees | virtual |
predict_prob(const CvMat *sample, const CvMat *missing=0) const | CvRTrees | virtual |
predict_prob(const cv::Mat &sample, const cv::Mat &missing=cv::Mat()) const | CvRTrees | virtual |
read(CvFileStorage *fs, CvFileNode *node) | CvRTrees | virtual |
rng | CvRTrees | protected |
save(const char *filename, const char *name=0) const | CvStatModel | 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, CvRTParams params=CvRTParams()) | CvERTrees | virtual |
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(), CvRTParams params=CvRTParams()) | CvERTrees | virtual |
train(CvMLData *data, CvRTParams params=CvRTParams()) | CvERTrees | virtual |
trees | CvRTrees | protected |
var_importance | CvRTrees | protected |
write(CvFileStorage *fs, const char *name) const | CvRTrees | virtual |
~CvERTrees() | CvERTrees | virtual |
~CvRTrees() | CvRTrees | virtual |
~CvStatModel() | CvStatModel | virtual |