meka.classifiers.multitarget

Class NSR

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.SingleClassifierEnhancer

meka.classifiers.multilabel.ProblemTransformationMethod

meka.classifiers.multilabel.LC

meka.classifiers.multilabel.PS

meka.classifiers.multitarget.NSR

All Implemented Interfaces:

Serializable, Cloneable, MultiLabelClassifier, MultiTargetClassifier, 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:

RAkELd, SCC

public class NSR
extends PS
implements MultiTargetClassifier

NSR.java - The Nearest Set Relpacement (NSR) method. A multi-target version of PS: The nearest sets are used to replace outliers, rather than subsets (as in PS). Important Note: currently can only handle 10 values (or fewer) per target variable.

Version:

Jan 2013

Author:

Jesse Read

See Also:

PS, Serialized Form

Field Summary

Fields inherited from class meka.classifiers.multilabel.PS

m_N, m_P, m_S

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
NSR()

Method Summary

Modifier and Type	Method and Description
void	buildClassifier(weka.core.Instances D)
double[]	convertDistribution(double[] y_sl, int L)
weka.core.Instances	convertInstances(weka.core.Instances D, int L)
static String[]	decodeValue(String a)
protected String	defaultClassifierString()
double[]	distributionForInstance(weka.core.Instance x)
weka.core.Capabilities	getCapabilities()
String	getRevision()
static String[]	getTopNSubsets(String y, HashMap<String,Integer> masterCombinations, int N) GetTopNSubsets - return the top N subsets which differ from y by a single class value, ranked by the frequency storte in masterCombinations.
String	globalInfo() Description to display in the GUI.
static void	main(String[] args)

Methods inherited from class meka.classifiers.multilabel.PS

getN, getOptions, getP, getSeed, getTechnicalInformation, listOptions, nTipText, pTipText, seedTipText, setN, setOptions, setP, setSeed

Methods inherited from class meka.classifiers.multilabel.LC

graph, graphType, toString

Methods inherited from class meka.classifiers.multilabel.ProblemTransformationMethod

evaluation, getModel, 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.multitarget.MultiTargetClassifier

debugTipText, getDebug, getModel, setDebug

Methods inherited from interface weka.classifiers.Classifier

classifyInstance

Methods inherited from interface weka.core.OptionHandler

getOptions, listOptions, setOptions

Methods inherited from interface meka.classifiers.multilabel.MultiLabelClassifier

debugTipText, getDebug, setDebug

Constructor Detail

NSR

public NSR()

Method Detail

defaultClassifierString

protected String defaultClassifierString()

Overrides:

defaultClassifierString in class ProblemTransformationMethod

globalInfo

public String globalInfo()

Description to display in the GUI.

Overrides:

globalInfo in class PS

Returns:

the description

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 ProblemTransformationMethod

buildClassifier

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

Specified by:

buildClassifier in interface weka.classifiers.Classifier

Overrides:

buildClassifier in class PS

Throws:

Exception

distributionForInstance

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

Specified by:

distributionForInstance in interface weka.classifiers.Classifier

Overrides:

distributionForInstance in class LC

Throws:

Exception

convertDistribution

public double[] convertDistribution(double[] y_sl,
                                    int L)

getTopNSubsets

public static String[] getTopNSubsets(String y,
                                      HashMap<String,Integer> masterCombinations,
                                      int N)

GetTopNSubsets - return the top N subsets which differ from y by a single class value, ranked by the frequency storte in masterCombinations.

convertInstances

public weka.core.Instances convertInstances(weka.core.Instances D,
                                            int L)
                                     throws Exception

Throws:

Exception

decodeValue

public static String[] decodeValue(String a)

getRevision

public String getRevision()

Specified by:

getRevision in interface weka.core.RevisionHandler

Overrides:

getRevision in class PS

main

public static void main(String[] args)