edu.udo.cs.yale.operator.learner.meta.eaboost
Class ParetoOptimalSetOfModels

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.eaboost.ParetoOptimalSetOfModels

All Implemented Interfaces:

IOObject, Model, ResultObject, Saveable

public class ParetoOptimalSetOfModels
extends PredictionModel

Each object of this class contains a sets of Pareto-optimal models, trading off the complexity of models against any performance metric. This class is used as a Container for models. Currentyly two metrics are supported. It is assumed that the task is to minimize both of them. When applying this model it yields

Version:

$Id: ParetoOptimalSetOfModels.java,v 1.2 2006/04/14 15:04:22 ingomierswa Exp $

Author:

Martin Scholz

Nested Class Summary

class

ParetoOptimalSetOfModels.ParetoModelWithScores

Field Summary

private double	maxValueOfFirstCriterion
private java.util.Vector<ParetoOptimalSetOfModels.ParetoModelWithScores>	models
private java.lang.String[]	namesOfCriteria

Constructor Summary

ParetoOptimalSetOfModels()

ParetoOptimalSetOfModels(Attribute label)

ParetoOptimalSetOfModels(Attribute label, java.lang.String nameOfFirstCrit, java.lang.String nameOfSecondCrit)

Method Summary

void	addModel(Model model, double firstScore, double secondScore)
private java.util.Comparator<ParetoOptimalSetOfModels.ParetoModelWithScores>	getComparatorForCritertion(int critIndex)
double	getMaxValueForFirstCriterion()
java.util.Collection<ParetoOptimalSetOfModels.ParetoModelWithScores>	getSetOrderedByCrit(int critIndex)
java.util.Collection<ParetoOptimalSetOfModels.ParetoModelWithScores>	getSetOrderedByCrit(java.lang.String critName)
java.util.Collection	getValuesOfCriterion(int critIndex)
void	performPrediction(ExampleSet exampleSet, Attribute predictedLabel) Subclasses should iterated through the given example set and set the prediction for each example.
void	readPredictionModelData(java.io.ObjectInputStream in) Reads the model data (without label).
void	setMaxValueForFirstCriterion(double maxValue)
void	writePredictionModelData(java.io.ObjectOutputStream out) Writes the model data (without label).

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

apply, createPredictedLabel, getLabel, readData, removePredictedLabel, setLabel, toString, 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

models

private final java.util.Vector<ParetoOptimalSetOfModels.ParetoModelWithScores> models

maxValueOfFirstCriterion

private double maxValueOfFirstCriterion

namesOfCriteria

private java.lang.String[] namesOfCriteria

Constructor Detail

ParetoOptimalSetOfModels

public ParetoOptimalSetOfModels()

ParetoOptimalSetOfModels

public ParetoOptimalSetOfModels(Attribute label)

ParetoOptimalSetOfModels

public ParetoOptimalSetOfModels(Attribute label,
                                java.lang.String nameOfFirstCrit,
                                java.lang.String nameOfSecondCrit)

Method Detail

addModel

public void addModel(Model model,
                     double firstScore,
                     double secondScore)

getSetOrderedByCrit

public java.util.Collection<ParetoOptimalSetOfModels.ParetoModelWithScores> getSetOrderedByCrit(java.lang.String critName)
                                                                                         throws OperatorException

Throws:

OperatorException

getSetOrderedByCrit

public java.util.Collection<ParetoOptimalSetOfModels.ParetoModelWithScores> getSetOrderedByCrit(int critIndex)

getValuesOfCriterion

public java.util.Collection getValuesOfCriterion(int critIndex)

getComparatorForCritertion

private java.util.Comparator<ParetoOptimalSetOfModels.ParetoModelWithScores> getComparatorForCritertion(int critIndex)

setMaxValueForFirstCriterion

public void setMaxValueForFirstCriterion(double maxValue)

getMaxValueForFirstCriterion

public double getMaxValueForFirstCriterion()

performPrediction

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

Description copied from class: PredictionModel

Subclasses should iterated through the given example set and set the prediction for each example. The given predicted label attribute was already be added to the example set and should be used to set the predicted values.

Specified by:

performPrediction in class PredictionModel

Throws:

OperatorException

readPredictionModelData

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

Description copied from class: PredictionModel

Reads the model data (without label).

Specified by:

readPredictionModelData in class PredictionModel

Throws:

java.io.IOException

writePredictionModelData

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

Description copied from class: PredictionModel

Writes the model data (without label).

Specified by:

writePredictionModelData in class PredictionModel

Throws:

java.io.IOException