mulan.classifier.transformation
Class PPT

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

All Implemented Interfaces:

Serializable, MultiLabelLearner, TechnicalInformationHandler

public class PPT
extends LabelsetPruning

Class implementing the Pruned Problem Transformation algorithm (PPT) . For more information, see

Read, Jesse: A Pruned Problem Transformation Method for Multi-label classification. In: Proc. 2008 New Zealand Computer Science Research Student Conference (NZCSRS 2008), 143-150, 2008.

BibTeX:

 @inproceedings{Read2008,
    author = {Read, Jesse},
    booktitle = {Proc. 2008 New Zealand Computer Science Research Student Conference (NZCSRS 2008)},
    pages = {143-150},
    title = {A Pruned Problem Transformation Method for Multi-label classification},
    year = {2008}
 }
 

Version:

2012.02.27

Author:

Grigorios Tsoumakas

See Also:

Serialized Form

Nested Class Summary

static class

PPT.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

PPT()
Default constructor

PPT(Classifier classifier, int p, PPT.Strategy aStrategy)
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

PPT

public PPT()

Default constructor

PPT

public PPT(Classifier classifier,
           int p,
           PPT.Strategy aStrategy)

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

Parameters:

classifier - base single-label classification algorithm

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

aStrategy - 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