mulan.classifier.meta.thresholding
Class SCut

java.lang.Object
  mulan.classifier.MultiLabelLearnerBase
      mulan.classifier.meta.MultiLabelMetaLearner
          mulan.classifier.meta.thresholding.SCut

All Implemented Interfaces:

Serializable, MultiLabelLearner, TechnicalInformationHandler

public class SCut
extends MultiLabelMetaLearner

Class that implements the SCut method (Score-based local optimization). It computes a separate threshold for each label based on improving a user defined performance measure.For more information, see

Yiming Yang: A study of thresholding strategies for text categorization. In: Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval, 137 - 145, 2001.

* BibTeX: *

 * @inproceedings{Yang2001,
 *    author = {Yiming Yang},
 *    booktitle = {Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval},
 *    pages = {137 - 145},
 *    title = {A study of thresholding strategies for text categorization},
 *    year = {2001},
 *    location = {New Orleans, Louisiana, United States}
 * }
 * 

*

Version:

2010.12.14

Author:

Marios Ioannou, George Sakkas, Grigorios Tsoumakas

See Also:

Serialized Form

Field Summary

Fields inherited from class mulan.classifier.meta.MultiLabelMetaLearner

baseLearner

Fields inherited from class mulan.classifier.MultiLabelLearnerBase

featureIndices, labelIndices, numLabels

Constructor Summary

SCut()
Default constructor

SCut(MultiLabelLearner baseLearner, BipartitionMeasureBase measure)
Creates a new instance of SCut

SCut(MultiLabelLearner baseLearner, BipartitionMeasureBase measure, int folds)
Constructor that initializes the learner with a base algorithm , Measure and num of folds

Method Summary

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

Methods inherited from class mulan.classifier.meta.MultiLabelMetaLearner

getBaseLearner

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

SCut

public SCut()

Default constructor

SCut

public SCut(MultiLabelLearner baseLearner,
            BipartitionMeasureBase measure,
            int folds)

Constructor that initializes the learner with a base algorithm , Measure and num of folds

Parameters:

baseLearner - the underlying multi-label learner

measure -

folds - the number of folds to split the dataset

SCut

public SCut(MultiLabelLearner baseLearner,
            BipartitionMeasureBase measure)

Creates a new instance of SCut

Parameters:

baseLearner - the underlying multi-label learner

measure -

Method Detail

getTechnicalInformation

public TechnicalInformation getTechnicalInformation()

Description copied from class: MultiLabelLearnerBase

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

Specified by:

getTechnicalInformation in class MultiLabelLearnerBase

Returns:

the technical information about this class

buildInternal

protected void buildInternal(MultiLabelInstances trainingSet)
                      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:

trainingSet - the training data set

Throws:

Exception - if learner model was not created successfully

makePredictionInternal

public 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

globalInfo

public String globalInfo()

Description copied from class: MultiLabelLearnerBase

Returns a string describing the multi-label learner.

Specified by:

globalInfo in class MultiLabelLearnerBase

Returns:

a description suitable for displaying in a future gui