mulan.classifier.transformation
Class IncludeLabelsClassifier

java.lang.Object
  mulan.classifier.MultiLabelLearnerBase
      mulan.classifier.transformation.TransformationBasedMultiLabelLearner
          mulan.classifier.transformation.IncludeLabelsClassifier

All Implemented Interfaces:

Serializable, MultiLabelLearner, TechnicalInformationHandler

Direct Known Subclasses:

AdaBoostMH

public class IncludeLabelsClassifier
extends TransformationBasedMultiLabelLearner

A multilabel classifier based on the include labels transformation. The multiple label attributes are mapped to two attributes: a) one nominal attribute containing the class b) one binary attribute containing whether it is true.

Version:

2012.02.27

Author:

Robert Friberg, Grigorios Tsoumakas

See Also:

Serialized Form

Field Summary

protected Instances

transformed A dataset with the format needed by the base classifier.

Fields inherited from class mulan.classifier.transformation.TransformationBasedMultiLabelLearner

baseClassifier

Fields inherited from class mulan.classifier.MultiLabelLearnerBase

featureIndices, labelIndices, numLabels

Constructor Summary

IncludeLabelsClassifier(Classifier classifier)
Constructor that initializes a new learner with the given base classifier

Method Summary

void	buildInternal(MultiLabelInstances mlData) Learner specific implementation of building the model from MultiLabelInstances training data set.
protected MultiLabelOutput	makePredictionInternal(Instance instance) Learner specific implementation for predicting on specified data based on trained model.

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

transformed

protected Instances transformed

A dataset with the format needed by the base classifier. It is potentially expensive copying datasets with many attributes, so it is used for building the classifier and then it's mlData are discarded and it is reused during prediction.

Constructor Detail

IncludeLabelsClassifier

public IncludeLabelsClassifier(Classifier classifier)

Constructor that initializes a new learner with the given base classifier

Parameters:

classifier -

Method Detail

buildInternal

public void buildInternal(MultiLabelInstances mlData)
                   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.

Specified by:

buildInternal in class MultiLabelLearnerBase

Parameters:

mlData - the training data set

Throws:

Exception - if learner model was not created successfully

makePredictionInternal

protected MultiLabelOutput makePredictionInternal(Instance instance)
                                           throws Exception

Description copied from class: MultiLabelLearnerBase

Learner specific implementation for predicting on specified data based on trained model. This method is called from MultiLabelLearnerBase.makePrediction(weka.core.Instance) which guards for model initialization and apply common handling/behavior.

Specified by:

makePredictionInternal in class MultiLabelLearnerBase

Parameters:

instance - the data instance to predict on

Returns:

the output of the learner for the given instance

Throws:

Exception - if an error occurs while making the prediction.

InvalidDataException - if specified instance data is invalid and can not be processed by the learner