meka.classifiers.multilabel

Class PMCC

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.SingleClassifierEnhancer

meka.classifiers.multilabel.MultilabelClassifier

meka.classifiers.multilabel.CC

meka.classifiers.multilabel.MCC

meka.classifiers.multilabel.PMCC

All Implemented Interfaces:

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

public class PMCC
extends MCC

PMCC.java - Like MCC but creates a population of M chains at training time (from Is candidate chains, using Monte Carlo sampling), and uses this population for inference at test time; If you are looking for a 'more typical' majority-vote ensemble method, use something like EnsembleML or BaggingML with MCC.

NOTE: this implementation was faster, because the chain was only rebuilt from the first node which was different -- this is no longer the case (due to updates to way classifier chains works, using the CNode class).

Version:

Sep 2014

Author:

Jesse Read

See Also:

MCC, Serialized Form

Constructor Summary

Constructors

Constructor and Description
PMCC()

Method Summary

Methods

Modifier and Type	Method and Description
void	buildClassifier(weka.core.Instances D)
double[]	distributionForInstance(weka.core.Instance x)
int	getM() Get the population size
java.lang.String[]	getOptions()
java.lang.String	globalInfo() Description to display in the GUI.
java.util.Enumeration	listOptions()
static void	main(java.lang.String[] args)
static int[]	pi(int[] s, java.util.Random r, int t, double beta) pi - proposal distribution; swap elements in s, depending on iteration t (temperature).
void	setM(int M) Set the population size
void	setOptions(java.lang.String[] options)

Methods inherited from class meka.classifiers.multilabel.MCC

getChainIterations, getInferenceInterations, getTechnicalInformation, likelihood, likelihood, setChainIterations, setInferenceInterations

Methods inherited from class meka.classifiers.multilabel.CC

getChain, getConfidences, getSeed, getTransformTemplates, probabilityForInstance, rebuildClassifier, sampleForInstance, sampleForInstanceFast, setChain, setSeed, transformInstance

Methods inherited from class meka.classifiers.multilabel.MultilabelClassifier

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

Methods inherited from class weka.classifiers.SingleClassifierEnhancer

classifierTipText, getClassifier, setClassifier

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

PMCC

public PMCC()

Method Detail

pi

public static int[] pi(int[] s,
       java.util.Random r,
       int t,
       double beta)

pi - proposal distribution; swap elements in s, depending on iteration t (temperature).
TODO - make faster!

Parameters:

s - a chain sequence

r - a random number generator

t - the current iteration

Returns:

s' ~ p(s'|s)

buildClassifier

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

Specified by:

buildClassifier in interface weka.classifiers.Classifier

Overrides:

buildClassifier in class MCC

Throws:

java.lang.Exception

distributionForInstance

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

Specified by:

distributionForInstance in interface weka.classifiers.Classifier

Overrides:

distributionForInstance in class MCC

Throws:

java.lang.Exception

listOptions

public java.util.Enumeration listOptions()

Specified by:

listOptions in interface weka.core.OptionHandler

Overrides:

listOptions in class MCC

setOptions

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

Specified by:

setOptions in interface weka.core.OptionHandler

Overrides:

setOptions in class MCC

Throws:

java.lang.Exception

getOptions

public java.lang.String[] getOptions()

Specified by:

getOptions in interface weka.core.OptionHandler

Overrides:

getOptions in class MCC

setM

public void setM(int M)

Set the population size

getM

public int getM()

Get the population size

globalInfo

public java.lang.String globalInfo()

Description copied from class: CC

Description to display in the GUI.

Overrides:

globalInfo in class MCC

Returns:

the description

main

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