meka.classifiers.multilabel

Class MultilabelClassifier

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.SingleClassifierEnhancer

meka.classifiers.multilabel.MultilabelClassifier

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, weka.classifiers.Classifier, weka.core.CapabilitiesHandler, weka.core.OptionHandler, weka.core.RevisionHandler

Direct Known Subclasses:

AbstractNeuralNet, BR, BRq, CC, CCq, CDN, EM, FW, LC, MajorityLabelset, MBR, MULAN, MultilabelMetaClassifier, RT, SCC, SubsetMapper

public abstract class MultilabelClassifier
extends weka.classifiers.SingleClassifierEnhancer

MultilabelClassifier.java - A Multilabel Classifier.

Version:

Jan 2015

Author:

Jesse Read

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
MultilabelClassifier()

Method Summary

Methods

Modifier and Type	Method and Description
abstract void	buildClassifier(weka.core.Instances trainingSet)
abstract double[]	distributionForInstance(weka.core.Instance i)
static void	evaluation(MultilabelClassifier h, java.lang.String[] args) Called by classifier's main() method upon initialisation from the command line.
weka.core.Capabilities	getCapabilities()
java.lang.String	getRevision()
weka.core.Instances	getTemplate()
java.lang.String	globalInfo() Description to display in the GUI.
static MultilabelClassifier[]	makeCopies(MultilabelClassifier model, int num) Creates a given number of deep copies of the given multi-label classifier using serialization.
static void	runClassifier(MultilabelClassifier h, java.lang.String[] args) Called by classifier's main() method upon initialisation from the command line.
void	testCapabilities(weka.core.Instances D) TestCapabilities.
java.lang.String	toString()

Methods inherited from class weka.classifiers.SingleClassifierEnhancer

classifierTipText, getClassifier, getOptions, listOptions, setClassifier, setOptions

Methods inherited from class weka.classifiers.AbstractClassifier

classifyInstance, debugTipText, forName, getDebug, makeCopies, makeCopy, runClassifier, setDebug

Methods inherited from class java.lang.Object

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

Constructor Detail

MultilabelClassifier

public MultilabelClassifier()

Method Detail

globalInfo

public java.lang.String globalInfo()

Description to display in the GUI.

Returns:

the description

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

getTemplate

public weka.core.Instances getTemplate()

testCapabilities

public void testCapabilities(weka.core.Instances D)
                      throws java.lang.Exception

TestCapabilities. Make sure the training data is suitable.

Parameters:

D - the data

Throws:

java.lang.Exception

getCapabilities

public weka.core.Capabilities getCapabilities()

Specified by:

getCapabilities in interface weka.classifiers.Classifier

Specified by:

getCapabilities in interface weka.core.CapabilitiesHandler

Overrides:

getCapabilities in class weka.classifiers.SingleClassifierEnhancer

buildClassifier

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

Throws:

java.lang.Exception

distributionForInstance

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

Specified by:

distributionForInstance in interface weka.classifiers.Classifier

Overrides:

distributionForInstance in class weka.classifiers.AbstractClassifier

Throws:

java.lang.Exception

getRevision

public java.lang.String getRevision()

Specified by:

getRevision in interface weka.core.RevisionHandler

Overrides:

getRevision in class weka.classifiers.AbstractClassifier

makeCopies

public static MultilabelClassifier[] makeCopies(MultilabelClassifier model,
                                int num)
                                         throws java.lang.Exception

Creates a given number of deep copies of the given multi-label classifier using serialization.

Parameters:

model - the classifier to copy

num - the number of classifier copies to create.

Returns:

an array of classifiers.

Throws:

java.lang.Exception - if an error occurs

evaluation

public static void evaluation(MultilabelClassifier h,
              java.lang.String[] args)

Called by classifier's main() method upon initialisation from the command line. TODO: In the future Use runClassifier(h,args) directly, and depreciated this function.

Parameters:

h - A classifier

args - Command-line options.

runClassifier

public static void runClassifier(MultilabelClassifier h,
                 java.lang.String[] args)

Called by classifier's main() method upon initialisation from the command line.

Parameters:

h - A classifier

args - Command-line options.