mulan.classifier.transformation
Class PrunedSets

java.lang.Object
  mulan.classifier.MultiLabelLearnerBase
      mulan.classifier.transformation.TransformationBasedMultiLabelLearner
          mulan.classifier.transformation.LabelPowerset
              mulan.classifier.transformation.LabelsetPruning
                  mulan.classifier.transformation.PrunedSets

All Implemented Interfaces:

Serializable, MultiLabelLearner, TechnicalInformationHandler

public class PrunedSets
extends LabelsetPruning

Class implementing the Pruned Sets algorithm (PS). For more information, see

Read, Jesse, Pfahringer, Bernhard, Holmes, Geoff: Multi-Label Classification using Ensembles of Pruned Sets. In: Proc. 8th IEEE International Conference on Data Mining (ICDM 2008), 995-1000, 2008.

BibTeX:

 @inproceedings{Read2008,
    author = {Read, Jesse and Pfahringer, Bernhard and Holmes, Geoff},
    booktitle = {Proc. 8th IEEE International Conference on Data Mining (ICDM 2008)},
    pages = {995-1000},
    title = {Multi-Label Classification using Ensembles of Pruned Sets},
    year = {2008}
 }
 

Version:

2012.02.27

Author:

Grigorios Tsoumakas

See Also:

Serialized Form

Nested Class Summary

static class

PrunedSets.Strategy strategies for processing infrequent labelsets

Field Summary

Fields inherited from class mulan.classifier.transformation.LabelsetPruning

p

Fields inherited from class mulan.classifier.transformation.LabelPowerset

makePredictionsBasedOnConfidences, Rand, threshold, transformation

Fields inherited from class mulan.classifier.transformation.TransformationBasedMultiLabelLearner

baseClassifier

Fields inherited from class mulan.classifier.MultiLabelLearnerBase

featureIndices, labelIndices, numLabels

Constructor Summary

PrunedSets()
Default constructor

PrunedSets(Classifier classifier, int aP, PrunedSets.Strategy aStrategy, int aB)
Constructor that initializes learner with base algorithm, parameter p and strategy for processing infrequent labelsets

Method Summary

TechnicalInformation	getTechnicalInformation() Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
String	globalInfo() Returns a string describing classifier

Methods inherited from class mulan.classifier.transformation.LabelsetPruning

buildInternal

Methods inherited from class mulan.classifier.transformation.LabelPowerset

makePredictionInternal, setConfidenceCalculationMethod, setMakePredictionsBasedOnConfidences, setSeed, setThreshold

Methods inherited from class mulan.classifier.transformation.TransformationBasedMultiLabelLearner

getBaseClassifier

Methods inherited from class mulan.classifier.MultiLabelLearnerBase

build, debug, getDebug, isModelInitialized, isUpdatable, makeCopy, makePrediction, setDebug

Methods inherited from class java.lang.Object

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

Constructor Detail

PrunedSets

public PrunedSets()

Default constructor

PrunedSets

public PrunedSets(Classifier classifier,
                  int aP,
                  PrunedSets.Strategy aStrategy,
                  int aB)

Constructor that initializes learner with base algorithm, parameter p and strategy for processing infrequent labelsets

Parameters:

classifier - base single-label classification algorithm

aP - number of instances required for a labelset to be included.

aStrategy - strategy for processing infrequent labelsets

aB - parameter of the strategy for processing infrequent labelsets

Method Detail

getTechnicalInformation

public TechnicalInformation getTechnicalInformation()

Description copied from class: TransformationBasedMultiLabelLearner

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

Specified by:

getTechnicalInformation in interface TechnicalInformationHandler

Overrides:

getTechnicalInformation in class TransformationBasedMultiLabelLearner

Returns:

the technical information about this class

globalInfo

public String globalInfo()

Returns a string describing classifier

Overrides:

globalInfo in class TransformationBasedMultiLabelLearner

Returns:

a description suitable for displaying