edu.udo.cs.yale.operator.learner.meta
Class BaggingModel

java.lang.Object
  edu.udo.cs.yale.operator.AbstractIOObject
      edu.udo.cs.yale.operator.ResultObjectAdapter
          edu.udo.cs.yale.operator.AbstractModel
              edu.udo.cs.yale.operator.IOModel
                  edu.udo.cs.yale.operator.learner.PredictionModel
                      edu.udo.cs.yale.operator.learner.meta.BaggingModel

All Implemented Interfaces:

IOObject, Model, ResultObject, Saveable

public class BaggingModel
extends PredictionModel

The model for the internal Bagging implementation.

Version:

$Id: BaggingModel.java,v 1.6 2006/09/30 00:05:30 ingomierswa Exp $

Author:

Martin Scholz

Field Summary

static java.lang.String	ID
private java.util.List<Model>	models

Constructor Summary

BaggingModel()

BaggingModel(Attribute label)
Needed for creation of IOModel (when loading from file).

BaggingModel(Attribute label, java.util.List<Model> models)

Method Summary

protected Attribute	createPredictedLabel(ExampleSet exampleSet) Creates a predicted label with the given name.
private void	evaluateSpecialAttributes(ExampleSet exampleSet, Attribute[] specialAttributes)
java.lang.String	getIdentifier()
Model	getModel(int index) Getter method for embedded models
int	getNumberOfModels()
void	performPrediction(ExampleSet origExampleSet, Attribute predictedLabel) Iterates over all models and averages confidences.
void	readPredictionModelData(java.io.ObjectInputStream in) Reads all models from file.
java.lang.String	toString()
private void	updateEstimates(ExampleSet exampleSet, int modelNr, Attribute[] specialAttributes)
void	writePredictionModelData(java.io.ObjectOutputStream out) Writes the models subsequently to the output stream.

Methods inherited from class edu.udo.cs.yale.operator.learner.PredictionModel

apply, getLabel, readData, removePredictedLabel, setLabel, writeData

Methods inherited from class edu.udo.cs.yale.operator.AbstractModel

equals, getExtension, getFileDescription, readModel, readModel, save, setParameter, writeModel, writeModel

Methods inherited from class edu.udo.cs.yale.operator.ResultObjectAdapter

addAction, getActions, getName, getVisualisationComponent, toHTML, toResultString

Methods inherited from class edu.udo.cs.yale.operator.AbstractIOObject

copy, read, read, read, write, write

Methods inherited from class java.lang.Object

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

Methods inherited from interface edu.udo.cs.yale.operator.ResultObject

getActions, getName, getVisualisationComponent, toResultString

Methods inherited from interface edu.udo.cs.yale.operator.IOObject

copy, write, write

Field Detail

ID

public static final java.lang.String ID

See Also:

Constant Field Values

models

private java.util.List<Model> models

Constructor Detail

BaggingModel

public BaggingModel()

BaggingModel

public BaggingModel(Attribute label)

Needed for creation of IOModel (when loading from file).

Parameters:

label - the class label

BaggingModel

public BaggingModel(Attribute label,
                    java.util.List<Model> models)

Method Detail

getIdentifier

public java.lang.String getIdentifier()

Returns:

the static class identifier of this model

readPredictionModelData

public void readPredictionModelData(java.io.ObjectInputStream in)
                             throws java.io.IOException

Reads all models from file.

Specified by:

readPredictionModelData in class PredictionModel

Throws:

java.io.IOException

writePredictionModelData

public void writePredictionModelData(java.io.ObjectOutputStream out)
                              throws java.io.IOException

Writes the models subsequently to the output stream.

Specified by:

writePredictionModelData in class PredictionModel

Throws:

java.io.IOException

toString

public java.lang.String toString()

Overrides:

toString in class PredictionModel

Returns:

a String representation of this boosting model.

getNumberOfModels

public int getNumberOfModels()

Returns:

the number of embedded models

getModel

public Model getModel(int index)

Getter method for embedded models

Parameters:

index - the number of a model part of this boost model

Returns:

binary or nominal decision model

performPrediction

public void performPrediction(ExampleSet origExampleSet,
                              Attribute predictedLabel)
                       throws OperatorException

Iterates over all models and averages confidences.

Specified by:

performPrediction in class PredictionModel

Parameters:

origExampleSet - the set of examples to be classified

Throws:

OperatorException

updateEstimates

private void updateEstimates(ExampleSet exampleSet,
                             int modelNr,
                             Attribute[] specialAttributes)

evaluateSpecialAttributes

private void evaluateSpecialAttributes(ExampleSet exampleSet,
                                       Attribute[] specialAttributes)

createPredictedLabel

protected Attribute createPredictedLabel(ExampleSet exampleSet)

Creates a predicted label with the given name. If name is null, the name "prediction(labelname)" is used.

Overrides:

createPredictedLabel in class PredictionModel