meka.classifiers.multilabel

Class MCC

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.SingleClassifierEnhancer

meka.classifiers.multilabel.ProblemTransformationMethod

meka.classifiers.multilabel.CC

meka.classifiers.multilabel.MCC

All Implemented Interfaces:

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

Direct Known Subclasses:

CT, PMCC

public class MCC
extends CC
implements weka.core.TechnicalInformationHandler, MultiTargetCapable

MCC.java - CC with Monte Carlo optimisation. Note inference is now a bit slower than reported in the paper,
Jesse Read, Luca Martino, David Luengo. Efficient Monte Carlo Optimization for Multi-dimensional Classifier Chains. http://arxiv.org/abs/1211.2190. 2012
There we used a faster implementation, full of ugly hacks, but it got broken when I updated CC.java.
This version extends CC, and thus is a bit cleaner, but for some reason inference is quite slower than expected with high m_Iy. TODO Option for hold-out set, instead of training and testing on training data (internally).

Version:

March 2015

Author:

Jesse Read

See Also:

CC, Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected int	m_Is
protected int	m_Iy
protected String	m_Payoff

Fields inherited from class meka.classifiers.multilabel.CC

confidences, m_Chain, m_R, m_S, nodes

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
MCC()

Method Summary

Modifier and Type	Method and Description
void	buildClassifier(weka.core.Instances D)
String	chainIterationsTipText()
double[]	distributionForInstance(weka.core.Instance x)
int	getChainIterations() Get the iterations of s (chain order)
int	getInferenceIterations() Get the inference iterations
String[]	getOptions()
String	getPayoff() Get the payoff function
weka.core.TechnicalInformation	getTechnicalInformation()
String	globalInfo() Description to display in the GUI.
String	inferenceIterationsTipText()
Enumeration	listOptions()
static void	main(String[] args)
double	payoff(CC h, weka.core.Instances D) Payoff - Return a default score of h evaluated on D.
String	payoffTipText()
void	setChainIterations(int is) Set the iterations of s (chain order)
void	setInferenceIterations(int iy) Set the inference iterations
void	setOptions(String[] options)
void	setPayoff(String p) Set the payoff function

Methods inherited from class meka.classifiers.multilabel.CC

getConfidences, getDefaultSeed, getModel, getSeed, getTransformTemplates, graph, graphType, prepareChain, prepareChain, probabilityForInstance, rebuildClassifier, retrieveChain, sampleForInstance, sampleForInstanceFast, seedTipText, setSeed, toString, transformInstance

Methods inherited from class meka.classifiers.multilabel.ProblemTransformationMethod

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

Methods inherited from class weka.classifiers.SingleClassifierEnhancer

classifierTipText, defaultClassifierOptions, getClassifier, getClassifierSpec, postExecution, preExecution, setClassifier

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 meka.classifiers.multilabel.MultiLabelClassifier

debugTipText, getDebug, setDebug

Methods inherited from interface weka.classifiers.Classifier

classifyInstance

Field Detail

m_Is

protected int m_Is

m_Iy

protected int m_Iy

m_Payoff

protected String m_Payoff

Constructor Detail

MCC

public MCC()

Method Detail

payoff

public double payoff(CC h,
                     weka.core.Instances D)
              throws Exception

Payoff - Return a default score of h evaluated on D.

Parameters:

h - a classifier

D - a dataset

Throws:

Exception

buildClassifier

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

Specified by:

buildClassifier in interface weka.classifiers.Classifier

Overrides:

buildClassifier in class CC

Throws:

Exception

distributionForInstance

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

Specified by:

distributionForInstance in interface weka.classifiers.Classifier

Overrides:

distributionForInstance in class CC

Throws:

Exception

listOptions

public Enumeration listOptions()

Specified by:

listOptions in interface weka.core.OptionHandler

Overrides:

listOptions in class CC

setOptions

public void setOptions(String[] options)
                throws Exception

Specified by:

setOptions in interface weka.core.OptionHandler

Overrides:

setOptions in class CC

Throws:

Exception

getOptions

public String[] getOptions()

Specified by:

getOptions in interface weka.core.OptionHandler

Overrides:

getOptions in class CC

setInferenceIterations

public void setInferenceIterations(int iy)

Set the inference iterations

getInferenceIterations

public int getInferenceIterations()

Get the inference iterations

inferenceIterationsTipText

public String inferenceIterationsTipText()

setChainIterations

public void setChainIterations(int is)

Set the iterations of s (chain order)

getChainIterations

public int getChainIterations()

Get the iterations of s (chain order)

chainIterationsTipText

public String chainIterationsTipText()

setPayoff

public void setPayoff(String p)

Set the payoff function

getPayoff

public String getPayoff()

Get the payoff function

payoffTipText

public String payoffTipText()

globalInfo

public String globalInfo()

Description copied from class: CC

Description to display in the GUI.

Overrides:

globalInfo in class CC

Returns:

the description

getTechnicalInformation

public weka.core.TechnicalInformation getTechnicalInformation()

Specified by:

getTechnicalInformation in interface weka.core.TechnicalInformationHandler

Overrides:

getTechnicalInformation in class CC

main

public static void main(String[] args)