mulan.classifier.transformation
Class LabelsetPruning

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

All Implemented Interfaces:

Serializable, MultiLabelLearner, TechnicalInformationHandler

Direct Known Subclasses:

PPT, PrunedSets

public abstract class LabelsetPruning
extends LabelPowerset

Common functionality class for the PPT and PS algorithms

Version:

2012.02.27

Author:

Grigorios Tsoumakas

See Also:

Serialized Form

Field Summary

protected int

p parameter for the threshold of number of occurences of a labelset

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

LabelsetPruning(Classifier classifier, int aP)
Constructor that initializes learner with base algorithm and main parameter

Method Summary

protected void

buildInternal(MultiLabelInstances mlDataSet) Learner specific implementation of building the model from MultiLabelInstances training data set.

Methods inherited from class mulan.classifier.transformation.LabelPowerset

makePredictionInternal, setConfidenceCalculationMethod, setMakePredictionsBasedOnConfidences, setSeed, setThreshold

Methods inherited from class mulan.classifier.transformation.TransformationBasedMultiLabelLearner

getBaseClassifier, getTechnicalInformation, globalInfo

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

Field Detail

p

protected int p

parameter for the threshold of number of occurences of a labelset

Constructor Detail

LabelsetPruning

public LabelsetPruning(Classifier classifier,
                       int aP)

Constructor that initializes learner with base algorithm and main parameter

Parameters:

classifier - base single-label classification algorithm

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

Method Detail

buildInternal

protected void buildInternal(MultiLabelInstances mlDataSet)
                      throws Exception

Description copied from class: MultiLabelLearnerBase

Learner specific implementation of building the model from MultiLabelInstances training data set. This method is called from MultiLabelLearnerBase.build(MultiLabelInstances) method, where behavior common across all learners is applied.

Overrides:

buildInternal in class LabelPowerset

Parameters:

mlDataSet - the training data set

Throws:

Exception - if learner model was not created successfully