OpenCV
3.3.0-dev
Open Source Computer Vision
|
This is the complete list of members for cv::ml::RTrees, including all inherited members.
Algorithm() | cv::Algorithm | |
calcError(const Ptr< TrainData > &data, bool test, OutputArray resp) const | cv::ml::StatModel | virtual |
clear() | cv::Algorithm | inlinevirtual |
COMPRESSED_INPUT enum value | cv::ml::StatModel | |
create() | cv::ml::RTrees | static |
empty() const | cv::ml::StatModel | virtual |
Flags enum name | cv::ml::DTrees | |
getActiveVarCount() const =0 | cv::ml::RTrees | pure virtual |
getCalculateVarImportance() const =0 | cv::ml::RTrees | pure virtual |
getCVFolds() const =0 | cv::ml::DTrees | pure virtual |
getDefaultName() const | cv::Algorithm | virtual |
getMaxCategories() const =0 | cv::ml::DTrees | pure virtual |
getMaxDepth() const =0 | cv::ml::DTrees | pure virtual |
getMinSampleCount() const =0 | cv::ml::DTrees | pure virtual |
getNodes() const =0 | cv::ml::DTrees | pure virtual |
getPriors() const =0 | cv::ml::DTrees | pure virtual |
getRegressionAccuracy() const =0 | cv::ml::DTrees | pure virtual |
getRoots() const =0 | cv::ml::DTrees | pure virtual |
getSplits() const =0 | cv::ml::DTrees | pure virtual |
getSubsets() const =0 | cv::ml::DTrees | pure virtual |
getTermCriteria() const =0 | cv::ml::RTrees | pure virtual |
getTruncatePrunedTree() const =0 | cv::ml::DTrees | pure virtual |
getUse1SERule() const =0 | cv::ml::DTrees | pure virtual |
getUseSurrogates() const =0 | cv::ml::DTrees | pure virtual |
getVarCount() const =0 | cv::ml::StatModel | pure virtual |
getVarImportance() const =0 | cv::ml::RTrees | pure virtual |
getVotes(InputArray samples, OutputArray results, int flags) const | cv::ml::RTrees | |
isClassifier() const =0 | cv::ml::StatModel | pure virtual |
isTrained() const =0 | cv::ml::StatModel | pure virtual |
load(const String &filepath, const String &nodeName=String()) | cv::ml::RTrees | static |
loadFromString(const String &strModel, const String &objname=String()) | cv::Algorithm | inlinestatic |
predict(InputArray samples, OutputArray results=noArray(), int flags=0) const =0 | cv::ml::StatModel | pure virtual |
PREDICT_AUTO enum value | cv::ml::DTrees | |
PREDICT_MASK enum value | cv::ml::DTrees | |
PREDICT_MAX_VOTE enum value | cv::ml::DTrees | |
PREDICT_SUM enum value | cv::ml::DTrees | |
PREPROCESSED_INPUT enum value | cv::ml::StatModel | |
RAW_OUTPUT enum value | cv::ml::StatModel | |
read(const FileNode &fn) | cv::Algorithm | inlinevirtual |
read(const FileNode &fn) | cv::Algorithm | inlinestatic |
save(const String &filename) const | cv::Algorithm | virtual |
setActiveVarCount(int val)=0 | cv::ml::RTrees | pure virtual |
setCalculateVarImportance(bool val)=0 | cv::ml::RTrees | pure virtual |
setCVFolds(int val)=0 | cv::ml::DTrees | pure virtual |
setMaxCategories(int val)=0 | cv::ml::DTrees | pure virtual |
setMaxDepth(int val)=0 | cv::ml::DTrees | pure virtual |
setMinSampleCount(int val)=0 | cv::ml::DTrees | pure virtual |
setPriors(const cv::Mat &val)=0 | cv::ml::DTrees | pure virtual |
setRegressionAccuracy(float val)=0 | cv::ml::DTrees | pure virtual |
setTermCriteria(const TermCriteria &val)=0 | cv::ml::RTrees | pure virtual |
setTruncatePrunedTree(bool val)=0 | cv::ml::DTrees | pure virtual |
setUse1SERule(bool val)=0 | cv::ml::DTrees | pure virtual |
setUseSurrogates(bool val)=0 | cv::ml::DTrees | pure virtual |
train(const Ptr< TrainData > &trainData, int flags=0) | cv::ml::StatModel | virtual |
train(InputArray samples, int layout, InputArray responses) | cv::ml::StatModel | virtual |
train(const Ptr< TrainData > &data, int flags=0) | cv::ml::StatModel | inlinestatic |
UPDATE_MODEL enum value | cv::ml::StatModel | |
write(FileStorage &fs) const | cv::Algorithm | inlinevirtual |
writeFormat(FileStorage &fs) const | cv::Algorithm | protected |
~Algorithm() | cv::Algorithm | virtual |