PREDICT_AUTO, PREDICT_MASK, PREDICT_MAX_VOTE, PREDICT_SUMCOMPRESSED_INPUT, PREPROCESSED_INPUT, RAW_OUTPUT, UPDATE_MODEL| Modifier | Constructor and Description | 
|---|---|
| protected  | RTrees(long addr) | 
| Modifier and Type | Method and Description | 
|---|---|
| static RTrees | create() | 
| protected void | finalize() | 
| int | getActiveVarCount() | 
| boolean | getCalculateVarImportance() | 
| TermCriteria | getTermCriteria() | 
| Mat | getVarImportance() | 
| void | setActiveVarCount(int val) | 
| void | setCalculateVarImportance(boolean val) | 
| void | setTermCriteria(TermCriteria val) | 
getCVFolds, getMaxCategories, getMaxDepth, getMinSampleCount, getPriors, getRegressionAccuracy, getTruncatePrunedTree, getUse1SERule, getUseSurrogates, setCVFolds, setMaxCategories, setMaxDepth, setMinSampleCount, setPriors, setRegressionAccuracy, setTruncatePrunedTree, setUse1SERule, setUseSurrogatesempty, getVarCount, isClassifier, isTrained, predict, predict, trainclear, getDefaultName, saveprotected RTrees(long addr)
public Mat getVarImportance()
public TermCriteria getTermCriteria()
public boolean getCalculateVarImportance()
public int getActiveVarCount()
public void setActiveVarCount(int val)
public void setCalculateVarImportance(boolean val)
public void setTermCriteria(TermCriteria val)