public class RTrees extends DTrees
PREDICT_AUTO, PREDICT_MASK, PREDICT_MAX_VOTE, PREDICT_SUM
COMPRESSED_INPUT, PREPROCESSED_INPUT, RAW_OUTPUT, UPDATE_MODEL
Modifier and Type | Method and Description |
---|---|
static RTrees |
__fromPtr__(long addr) |
static RTrees |
create() |
int |
getActiveVarCount() |
boolean |
getCalculateVarImportance() |
TermCriteria |
getTermCriteria() |
Mat |
getVarImportance() |
void |
getVotes(Mat samples,
Mat results,
int flags) |
static RTrees |
load(java.lang.String filepath) |
static RTrees |
load(java.lang.String filepath,
java.lang.String nodeName) |
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, setUseSurrogates
calcError, empty, getVarCount, isClassifier, isTrained, predict, predict, predict, train, train, train
clear, getDefaultName, getNativeObjAddr, save
public static RTrees __fromPtr__(long addr)
public static RTrees create()
public int getActiveVarCount()
public boolean getCalculateVarImportance()
public TermCriteria getTermCriteria()
public Mat getVarImportance()
public static RTrees load(java.lang.String filepath)
public static RTrees load(java.lang.String filepath, java.lang.String nodeName)
public void setActiveVarCount(int val)
public void setCalculateVarImportance(boolean val)
public void setTermCriteria(TermCriteria val)