public class RTrees extends DTrees
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, setUseSurrogatescalcError, empty, getVarCount, isClassifier, isTrained, predict, predict, train, train, trainclear, getDefaultName, savepublic Mat getVarImportance()
public static RTrees create()
public TermCriteria getTermCriteria()
public boolean getCalculateVarImportance()
public int getActiveVarCount()
public void setActiveVarCount(int val)
public void setCalculateVarImportance(boolean val)
public void setTermCriteria(TermCriteria val)