Package se.hb.jcp.ml

Class BogusClassProbabilityClassifier

java.lang.Object

se.hb.jcp.ml.ClassifierBase

se.hb.jcp.ml.BogusClassProbabilityClassifier

All Implemented Interfaces:

java.io.Serializable, IClassifier, IClassifierInformation, IClassProbabilityClassifier

public class BogusClassProbabilityClassifier
extends ClassifierBase
implements IClassProbabilityClassifier

Adds a bogus class probability estimate to the underlying machine learning classification algorithm.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor	Description
BogusClassProbabilityClassifier(IClassifier classifier, double[] classes)

Method Summary

Modifier and Type	Method	Description
IClassifier	fitNew(cern.colt.matrix.DoubleMatrix2D x, double[] y)	Trains and returns a copy of this classifier using the supplied data.
protected void	internalFit(cern.colt.matrix.DoubleMatrix2D x, double[] y)	Trains this classifier using the supplied data.
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.
double	predict(cern.colt.matrix.DoubleMatrix1D instance, double[] probabilityEstimates)	Predicts the target probabilities for the supplied instance.

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

Constructor Detail

BogusClassProbabilityClassifier

public BogusClassProbabilityClassifier(IClassifier classifier,
                                       double[] classes)

Method Detail

internalFit

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

Trains this classifier using the supplied data.

Specified by:

internalFit in class ClassifierBase

Parameters:

x - the attributes of the instances.

y - the targets of the instances.

fitNew

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

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)

Predicts the target for the supplied instance.

Specified by:

predict in interface IClassifier

Parameters:

instance - the instance

Returns:

the predicted target of the instance.

predict

public double predict(cern.colt.matrix.DoubleMatrix1D instance,
                      double[] probabilityEstimates)

Predicts the target probabilities for the supplied instance.

Specified by:

predict in interface IClassProbabilityClassifier

Parameters:

instance - the instance

probabilityEstimates - a double[] array for storing the predicted probabilities for each of target values in the order assumed by JCP.

Returns:

the predicted target of the instance.

nativeStorageTemplate

public cern.colt.matrix.DoubleMatrix1D nativeStorageTemplate()

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.