org.opencv.ml

Class CvERTrees

java.lang.Object

org.opencv.ml.CvStatModel

org.opencv.ml.CvRTrees

org.opencv.ml.CvERTrees

public class CvERTrees
extends CvRTrees

The class implements the Extremely randomized trees algorithm. CvERTrees is inherited from "CvRTrees" and has the same interface, so see description of "CvRTrees" class to get details. To set the training parameters of Extremely randomized trees the same class "CvRTParams" is used.

See Also:

org.opencv.ml.CvERTrees : public CvRTrees

Field Summary

Fields inherited from class org.opencv.ml.CvStatModel

nativeObj

Constructor Summary

Constructors

Modifier	Constructor and Description
	CvERTrees()
protected	CvERTrees(long addr)

Method Summary

Methods

Modifier and Type	Method and Description
protected void	finalize()
boolean	train(Mat trainData, int tflag, Mat responses) Trains the Random Trees model.
boolean	train(Mat trainData, int tflag, Mat responses, Mat varIdx, Mat sampleIdx, Mat varType, Mat missingDataMask, CvRTParams params) Trains the Random Trees model.

Methods inherited from class org.opencv.ml.CvRTrees

clear, getVarImportance, predict_prob, predict_prob, predict, predict

Methods inherited from class org.opencv.ml.CvStatModel

load, load, save, save

Methods inherited from class java.lang.Object

clone, equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

CvERTrees

protected CvERTrees(long addr)

CvERTrees

public CvERTrees()

Method Detail

train

public boolean train(Mat trainData,
            int tflag,
            Mat responses,
            Mat varIdx,
            Mat sampleIdx,
            Mat varType,
            Mat missingDataMask,
            CvRTParams params)

Description copied from class: CvRTrees

Trains the Random Trees model.

The method "CvRTrees.train" is very similar to the method "CvDTree.train" and follows the generic method "CvStatModel.train" conventions. All the parameters specific to the algorithm training are passed as a "CvRTParams" instance. The estimate of the training error (oob-error) is stored in the protected class member oob_error.

The function is parallelized with the TBB library.

Overrides:

train in class CvRTrees

Parameters:

trainData - a trainData

tflag - a tflag

responses - a responses

varIdx - a varIdx

sampleIdx - a sampleIdx

varType - a varType

missingDataMask - a missingDataMask

params - a params

See Also:

org.opencv.ml.CvRTrees.train

train

public boolean train(Mat trainData,
            int tflag,
            Mat responses)

Description copied from class: CvRTrees

Trains the Random Trees model.

The method "CvRTrees.train" is very similar to the method "CvDTree.train" and follows the generic method "CvStatModel.train" conventions. All the parameters specific to the algorithm training are passed as a "CvRTParams" instance. The estimate of the training error (oob-error) is stored in the protected class member oob_error.

The function is parallelized with the TBB library.

Overrides:

train in class CvRTrees

Parameters:

trainData - a trainData

tflag - a tflag

responses - a responses

See Also:

org.opencv.ml.CvRTrees.train

finalize

protected void finalize()
                 throws Throwable

Overrides:

finalize in class CvRTrees

Throws:

Throwable