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java.lang.Objectweka.classifiers.Classifier
weka.classifiers.bayes.WAODE
public class WAODE
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.
@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)
| Constructor Summary | |
|---|---|
WAODE()
|
|
| Method Summary | |
|---|---|
void |
buildClassifier(Instances instances)
Generates the classifier. |
double[] |
distributionForInstance(Instance instance)
Calculates the class membership probabilities for the given test instance |
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. |
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.Classifier |
|---|
classifyInstance, debugTipText, forName, getDebug, makeCopies, makeCopy, setDebug |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
|---|
public WAODE()
| Method Detail |
|---|
public java.lang.String globalInfo()
public java.util.Enumeration listOptions()
listOptions in interface OptionHandlerlistOptions in class Classifier
public void setOptions(java.lang.String[] options)
throws java.lang.Exception
-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)
setOptions in interface OptionHandlersetOptions in class Classifieroptions - the list of options as an array of strings
java.lang.Exception - if an option is not supportedpublic java.lang.String[] getOptions()
getOptions in interface OptionHandlergetOptions in class Classifierpublic java.lang.String internalsTipText()
public void setInternals(boolean value)
value - if internals should be printedtoString()public boolean getInternals()
public TechnicalInformation getTechnicalInformation()
getTechnicalInformation in interface TechnicalInformationHandlerpublic Capabilities getCapabilities()
getCapabilities in interface CapabilitiesHandlergetCapabilities in class ClassifierCapabilities
public void buildClassifier(Instances instances)
throws java.lang.Exception
buildClassifier in class Classifierinstances - set of instances serving as training data
java.lang.Exception - if the classifier has not been generated successfully
public double[] distributionForInstance(Instance instance)
throws java.lang.Exception
distributionForInstance in class Classifierinstance - the instance to be classified
java.lang.Exception - if there is a problem generating the predictionpublic java.lang.String toString()
toString in class java.lang.Objectpublic java.lang.String getRevision()
getRevision in interface RevisionHandlergetRevision in class Classifierpublic static void main(java.lang.String[] argv)
argv - the commandline options, use -h to list all options
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