meka.classifiers.multilabel

Class LC

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.SingleClassifierEnhancer

meka.classifiers.multilabel.ProblemTransformationMethod

meka.classifiers.multilabel.LC

All Implemented Interfaces:

Serializable, Cloneable, MultiLabelClassifier, MultiLabelDrawable, weka.classifiers.Classifier, weka.core.BatchPredictor, weka.core.CapabilitiesHandler, weka.core.CapabilitiesIgnorer, weka.core.CommandlineRunnable, weka.core.OptionHandler, weka.core.RevisionHandler

Direct Known Subclasses:

PS

public class LC
extends ProblemTransformationMethod
implements weka.core.OptionHandler, MultiLabelDrawable

LC.java - The LC (Label Combination) aka LP (Laber Powerset) Method. Treats each label combination as a single class in a multi-class learning scheme. The set of possible values of each class is the powerset of labels. This code was rewritten at some point. See also LP from the MULAN framework.

Version:

June 2014

Author:

Jesse Read

See Also:

Serialized Form

Field Summary

Fields inherited from class meka.classifiers.multilabel.ProblemTransformationMethod

m_InstancesTemplate

Fields inherited from class weka.classifiers.SingleClassifierEnhancer

m_Classifier

Fields inherited from class weka.classifiers.AbstractClassifier

BATCH_SIZE_DEFAULT, m_BatchSize, m_Debug, m_DoNotCheckCapabilities, m_numDecimalPlaces, NUM_DECIMAL_PLACES_DEFAULT

Fields inherited from interface meka.core.MultiLabelDrawable

BayesNet, Newick, NOT_DRAWABLE, TREE

Constructor Summary

Constructors

Constructor and Description
LC()

Method Summary

Modifier and Type	Method and Description
void	buildClassifier(weka.core.Instances D)
double[]	distributionForInstance(weka.core.Instance x)
String	getRevision()
String	globalInfo() Description to display in the GUI.
Map<Integer,String>	graph() Returns a string that describes a graph representing the object.
Map<Integer,Integer>	graphType() Returns the type of graph representing the object.
static void	main(String[] args)
String	toString()

Methods inherited from class meka.classifiers.multilabel.ProblemTransformationMethod

defaultClassifierString, evaluation, getCapabilities, getModel, getTemplate, makeCopies, runClassifier, testCapabilities

Methods inherited from class weka.classifiers.SingleClassifierEnhancer

classifierTipText, defaultClassifierOptions, getClassifier, getClassifierSpec, getOptions, listOptions, postExecution, preExecution, setClassifier, setOptions

Methods inherited from class weka.classifiers.AbstractClassifier

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

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface weka.core.OptionHandler

getOptions, listOptions, setOptions

Methods inherited from interface meka.classifiers.multilabel.MultiLabelClassifier

debugTipText, getDebug, setDebug

Methods inherited from interface weka.classifiers.Classifier

classifyInstance

Constructor Detail

LC

public LC()

Method Detail

globalInfo

public String globalInfo()

Description to display in the GUI.

Overrides:

globalInfo in class ProblemTransformationMethod

Returns:

the description

buildClassifier

public void buildClassifier(weka.core.Instances D)
                     throws Exception

Specified by:

buildClassifier in interface weka.classifiers.Classifier

Specified by:

buildClassifier in class ProblemTransformationMethod

Throws:

Exception

distributionForInstance

public double[] distributionForInstance(weka.core.Instance x)
                                 throws Exception

Specified by:

distributionForInstance in interface weka.classifiers.Classifier

Specified by:

distributionForInstance in class ProblemTransformationMethod

Throws:

Exception

graphType

public Map<Integer,Integer> graphType()

Returns the type of graph representing the object.

Specified by:

graphType in interface MultiLabelDrawable

Returns:

the type of graph representing the object (label index as key)

graph

public Map<Integer,String> graph()
                          throws Exception

Returns a string that describes a graph representing the object. The string should be in XMLBIF ver. 0.3 format if the graph is a BayesNet, otherwise it should be in dotty format.

Specified by:

graph in interface MultiLabelDrawable

Returns:

the graph described by a string (label index as key)

Throws:

Exception - if the graph can't be computed

toString

public String toString()

Overrides:

toString in class ProblemTransformationMethod

getRevision

public String getRevision()

Specified by:

getRevision in interface weka.core.RevisionHandler

Overrides:

getRevision in class ProblemTransformationMethod

main

public static void main(String[] args)