weka.classifiers.bayes

Class DMNBtext.DNBBinary

java.lang.Object

weka.classifiers.bayes.DMNBtext.DNBBinary

All Implemented Interfaces:

java.io.Serializable

Enclosing class:

DMNBtext

public class DMNBtext.DNBBinary
extends java.lang.Object
implements java.io.Serializable

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
DNBBinary()

Method Summary

Modifier and Type	Method and Description
double[]	distributionForInstance(Instance instance) Calculates the class membership probabilities for the given test instance.
double	getLogProbForTargetClass(Instance ins) Calculates the class membership probabilities for the given test instance.
int	getTargetClass() Gets the Target Class
void	initClassifier(Instances instances)
void	setTargetClass(int targetClass) Sets the Target Class
java.lang.String	toString() Returns a string representation of the classifier.
void	updateClassifier(Instance ins)

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

DNBBinary

public DNBBinary()

Method Detail

initClassifier

public void initClassifier(Instances instances)
                    throws java.lang.Exception

Throws:

java.lang.Exception

updateClassifier

public void updateClassifier(Instance ins)
                      throws java.lang.Exception

Throws:

java.lang.Exception

getLogProbForTargetClass

public double getLogProbForTargetClass(Instance ins)
                                throws java.lang.Exception

Calculates the class membership probabilities for the given test instance.

Parameters:

instance - the instance to be classified

Returns:

predicted class probability distribution

Throws:

java.lang.Exception - if there is a problem generating the prediction

distributionForInstance

public double[] distributionForInstance(Instance instance)
                                 throws java.lang.Exception

Calculates the class membership probabilities for the given test instance.

Parameters:

instance - the instance to be classified

Returns:

predicted class probability distribution

Throws:

java.lang.Exception - if there is a problem generating the prediction

toString

public java.lang.String toString()

Returns a string representation of the classifier.

Overrides:

toString in class java.lang.Object

Returns:

a string representation of the classifier

setTargetClass

public void setTargetClass(int targetClass)

Sets the Target Class

getTargetClass

public int getTargetClass()

Gets the Target Class

Returns:

the Target Class Index