weka.classifiers.bayes

Class WAODE

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.bayes.WAODE

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, weka.classifiers.Classifier, weka.core.BatchPredictor, weka.core.CapabilitiesHandler, weka.core.CapabilitiesIgnorer, weka.core.CommandlineRunnable, weka.core.OptionHandler, weka.core.RevisionHandler, weka.core.TechnicalInformationHandler

public class WAODE
extends weka.classifiers.AbstractClassifier
implements weka.core.TechnicalInformationHandler

WAODE contructs the model called Weightily Averaged One-Dependence Estimators.

For more information, see

L. Jiang, H. Zhang: Weightily Averaged One-Dependence Estimators. In: Proceedings of the 9th Biennial Pacific Rim International Conference on Artificial Intelligence, PRICAI 2006, 970-974, 2006.

BibTeX:

 @inproceedings{Jiang2006,
    author = {L. Jiang and H. Zhang},
    booktitle = {Proceedings of the 9th Biennial Pacific Rim International Conference on Artificial Intelligence, PRICAI 2006},
    pages = {970-974},
    series = {LNAI},
    title = {Weightily Averaged One-Dependence Estimators},
    volume = {4099},
    year = {2006}
 }
 

Valid options are:

 -D
  If set, classifier is run in debug mode and
  may output additional info to the console

 -I
  Whether to print some more internals.
  (default: no)

Version:

$Revision: 8108 $

Author:

Liangxiao Jiang (ljiang@cug.edu.cn), H. Zhang (hzhang@unb.ca)

See Also:

Serialized Form

Field Summary

Fields inherited from class weka.classifiers.AbstractClassifier

BATCH_SIZE_DEFAULT, NUM_DECIMAL_PLACES_DEFAULT

Constructor Summary

Constructors

Constructor and Description
WAODE()

Method Summary

Modifier and Type	Method and Description
void	buildClassifier(weka.core.Instances instances) Generates the classifier.
double[]	distributionForInstance(weka.core.Instance instance) Calculates the class membership probabilities for the given test instance
weka.core.Capabilities	getCapabilities() Returns default capabilities of the classifier.
boolean	getInternals() Gets whether more internals of the classifier are printed.
java.lang.String[]	getOptions() Gets the current settings of the filter.
java.lang.String	getRevision() Returns the revision string.
weka.core.TechnicalInformation	getTechnicalInformation() Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
java.lang.String	globalInfo() Returns a string describing this classifier
java.lang.String	internalsTipText() Returns the tip text for this property
java.util.Enumeration	listOptions() Gets an enumeration describing the available options.
static void	main(java.lang.String[] argv) Main method for testing this class.
void	setInternals(boolean value) Sets whether internals about classifier are printed via toString().
void	setOptions(java.lang.String[] options) Parses a given list of options.
java.lang.String	toString() returns a string representation of the classifier

Methods inherited from class weka.classifiers.AbstractClassifier

batchSizeTipText, classifyInstance, debugTipText, distributionsForInstances, doNotCheckCapabilitiesTipText, forName, getBatchSize, getDebug, getDoNotCheckCapabilities, getNumDecimalPlaces, implementsMoreEfficientBatchPrediction, makeCopies, makeCopy, numDecimalPlacesTipText, postExecution, preExecution, run, runClassifier, setBatchSize, setDebug, setDoNotCheckCapabilities, setNumDecimalPlaces

Methods inherited from class java.lang.Object

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

Methods inherited from interface weka.core.OptionHandler

makeCopy

Constructor Detail

WAODE

public WAODE()

Method Detail

globalInfo

public java.lang.String globalInfo()

Returns a string describing this classifier

Returns:

a description of the classifier suitable for displaying in the explorer/experimenter gui

listOptions

public java.util.Enumeration listOptions()

Gets an enumeration describing the available options.

Specified by:

listOptions in interface weka.core.OptionHandler

Overrides:

listOptions in class weka.classifiers.AbstractClassifier

Returns:

an enumeration of all the available options.

setOptions

public void setOptions(java.lang.String[] options)
                throws java.lang.Exception

Parses a given list of options.

Valid options are:

 -D
  If set, classifier is run in debug mode and
  may output additional info to the console

 -I
  Whether to print some more internals.
  (default: no)

Specified by:

setOptions in interface weka.core.OptionHandler

Overrides:

setOptions in class weka.classifiers.AbstractClassifier

Parameters:

options - the list of options as an array of strings

Throws:

java.lang.Exception - if an option is not supported

getOptions

public java.lang.String[] getOptions()

Gets the current settings of the filter.

Specified by:

getOptions in interface weka.core.OptionHandler

Overrides:

getOptions in class weka.classifiers.AbstractClassifier

Returns:

an array of strings suitable for passing to setOptions

internalsTipText

public java.lang.String internalsTipText()

Returns the tip text for this property

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

setInternals

public void setInternals(boolean value)

Sets whether internals about classifier are printed via toString().

Parameters:

value - if internals should be printed

See Also:

toString()

getInternals

public boolean getInternals()

Gets whether more internals of the classifier are printed.

Returns:

true if more internals are printed

getTechnicalInformation

public weka.core.TechnicalInformation getTechnicalInformation()

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

Specified by:

getTechnicalInformation in interface weka.core.TechnicalInformationHandler

Returns:

the technical information about this class

getCapabilities

public weka.core.Capabilities getCapabilities()

Returns default capabilities of the classifier.

Specified by:

getCapabilities in interface weka.classifiers.Classifier

Specified by:

getCapabilities in interface weka.core.CapabilitiesHandler

Overrides:

getCapabilities in class weka.classifiers.AbstractClassifier

Returns:

the capabilities of this classifier

buildClassifier

public void buildClassifier(weka.core.Instances instances)
                     throws java.lang.Exception

Generates the classifier.

Specified by:

buildClassifier in interface weka.classifiers.Classifier

Parameters:

instances - set of instances serving as training data

Throws:

java.lang.Exception - if the classifier has not been generated successfully

distributionForInstance

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

Calculates the class membership probabilities for the given test instance

Specified by:

distributionForInstance in interface weka.classifiers.Classifier

Overrides:

distributionForInstance in class weka.classifiers.AbstractClassifier

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:

string representation of the classifier

getRevision

public java.lang.String getRevision()

Returns the revision string.

Specified by:

getRevision in interface weka.core.RevisionHandler

Overrides:

getRevision in class weka.classifiers.AbstractClassifier

Returns:

the revision

main

public static void main(java.lang.String[] argv)

Main method for testing this class.

Parameters:

argv - the commandline options, use -h to list all options