Package se.hb.jcp.bindings.opencv

Class RandomForestClassifier

java.lang.Object

se.hb.jcp.ml.ClassifierBase

se.hb.jcp.bindings.opencv.RandomForestClassifier

All Implemented Interfaces:

java.io.Serializable, IClassifier, IClassifierInformation

public class RandomForestClassifier
extends ClassifierBase
implements java.io.Serializable

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
protected org.json.JSONObject	_jsonParameters
protected org.opencv.ml.CvStatModel	_model

Constructor Summary

Constructors

Constructor	Description
RandomForestClassifier()
RandomForestClassifier(org.json.JSONObject parameters)

Method Summary

Modifier and Type	Method	Description
protected DenseDoubleMatrix1D	asDDM1D(double[] y)
protected DenseDoubleMatrix1D	asDDM1D(cern.colt.matrix.DoubleMatrix1D x)
protected DenseDoubleMatrix2D	asDDM2D(cern.colt.matrix.DoubleMatrix2D x)
IClassifier	fitNew(cern.colt.matrix.DoubleMatrix2D x, double[] y)	Trains and returns a copy of this classifier using the supplied data.
protected org.opencv.ml.CvStatModel	getNewInstance()
protected void	internalFit(cern.colt.matrix.DoubleMatrix2D x, double[] y)
cern.colt.matrix.DoubleMatrix1D	nativeStorageTemplate()	Returns a value of the DoubleMatrix1D derived class that is the native storage format for the classifier.
double	predict(cern.colt.matrix.DoubleMatrix1D instance)	Predicts the target for the supplied instance.
protected org.opencv.core.TermCriteria	readTerminationCriteria()

Methods inherited from class se.hb.jcp.ml.ClassifierBase

fit, getAttributeCount, getLabels, isTrained

Methods inherited from class java.lang.Object

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

Methods inherited from interface se.hb.jcp.ml.IClassifier

fit

Methods inherited from interface se.hb.jcp.ml.IClassifierInformation

getAttributeCount, getLabels, isTrained

Field Detail

_model

protected org.opencv.ml.CvStatModel _model

_jsonParameters

protected org.json.JSONObject _jsonParameters

Constructor Detail

RandomForestClassifier

public RandomForestClassifier()

RandomForestClassifier

public RandomForestClassifier(org.json.JSONObject parameters)

Method Detail

internalFit

protected void internalFit(cern.colt.matrix.DoubleMatrix2D x,
                           double[] y)

Specified by:

internalFit in class ClassifierBase

fitNew

public IClassifier fitNew(cern.colt.matrix.DoubleMatrix2D x,
                          double[] y)

Description copied from interface: IClassifier

Trains and returns a copy of this classifier using the supplied data.

Specified by:

fitNew in interface IClassifier

Parameters:

x - the attributes of the instances.

y - the targets of the instances.

Returns:

a new IClassifier instance trained with the supplied data and using the same algorithm and parameter settings as the parent instance.

predict

public double predict(cern.colt.matrix.DoubleMatrix1D instance)

Description copied from interface: IClassifier

Predicts the target for the supplied instance.

Specified by:

predict in interface IClassifier

Parameters:

instance - the instance

Returns:

the predicted target of the instance.

getNewInstance

protected org.opencv.ml.CvStatModel getNewInstance()

asDDM2D

protected DenseDoubleMatrix2D asDDM2D(cern.colt.matrix.DoubleMatrix2D x)

asDDM1D

protected DenseDoubleMatrix1D asDDM1D(cern.colt.matrix.DoubleMatrix1D x)

asDDM1D

protected DenseDoubleMatrix1D asDDM1D(double[] y)

nativeStorageTemplate

public cern.colt.matrix.DoubleMatrix1D nativeStorageTemplate()

Description copied from interface: IClassifierInformation

Returns a value of the DoubleMatrix1D derived class that is the native storage format for the classifier.

Specified by:

nativeStorageTemplate in interface IClassifierInformation

Returns:

a value of the DoubleMatrix1D derived class of the native storage format for the classifier.

readTerminationCriteria

protected org.opencv.core.TermCriteria readTerminationCriteria()