edu.udo.cs.yale.operator.learner.igss.hypothesis
Class GSSModel

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.igss.hypothesis.GSSModel

All Implemented Interfaces:

IOObject, Model, ResultObject, Saveable

public class GSSModel
extends PredictionModel

Wrapper class for rules found by the Iterating GSS algorithm. Needed because IGSS rules need to be small in order to keep many in main memory

Version:

$Id: GSSModel.java,v 1.1 2006/10/02 16:07:49 ingomierswa Exp $

Author:

Dirk Dach

Field Summary

protected double[]	confidences The confidence values for all predictions.
protected boolean	crisp crisp only crisp ...
protected Hypothesis	hypothesis The all hypothesis of the model.
protected static Attribute[]	regularAttributes The regular attributes used by all rules.

Constructor Summary

GSSModel(Attribute label)
Creates a new GSSModel.

GSSModel(Attribute label, Hypothesis hypothesis, double[] confidences)
Creates a new GSSModel.

Method Summary

boolean	applicable(Example example) Returns true if the model is applicable to the current example.
boolean	equals(java.lang.Object o) Returns true if the hypothesis contained in the model are equal.
Hypothesis	getHypothesis() Returns the hypothesis stored in this model.
int	getPredictionIndex() Returns the most probable label index for this model.
void	performPrediction(ExampleSet exampleSet, Attribute predictedLabel) Iterates over all examples and applies the model to them.
void	readPredictionModelData(java.io.ObjectInputStream in) Reads the model data from the input stream.
java.lang.String	toString() Returns a String representation of the hypothesis stored in this model.
void	writePredictionModelData(java.io.ObjectOutputStream out) Writes the model data into the output stream.

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

apply, createPredictedLabel, getLabel, readData, removePredictedLabel, setLabel, writeData

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

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

hypothesis

protected Hypothesis hypothesis

The all hypothesis of the model.

confidences

protected double[] confidences

The confidence values for all predictions.

regularAttributes

protected static Attribute[] regularAttributes

The regular attributes used by all rules.

crisp

protected boolean crisp

crisp only crisp ...

Constructor Detail

GSSModel

public GSSModel(Attribute label)

Creates a new GSSModel.

GSSModel

public GSSModel(Attribute label,
                Hypothesis hypothesis,
                double[] confidences)

Creates a new GSSModel.

Method Detail

equals

public boolean equals(java.lang.Object o)

Returns true if the hypothesis contained in the model are equal.

Overrides:

equals in class AbstractModel

getPredictionIndex

public int getPredictionIndex()

Returns the most probable label index for this model.

performPrediction

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

Iterates over all examples and applies the model to them.

Specified by:

performPrediction in class PredictionModel

Throws:

OperatorException

applicable

public boolean applicable(Example example)

Returns true if the model is applicable to the current example.

readPredictionModelData

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

Reads the model data from the input stream.

Specified by:

readPredictionModelData in class PredictionModel

Throws:

java.io.IOException

writePredictionModelData

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

Writes the model data into the output stream.

Specified by:

writePredictionModelData in class PredictionModel

Throws:

java.io.IOException

toString

public java.lang.String toString()

Returns a String representation of the hypothesis stored in this model.

Overrides:

toString in class PredictionModel

getHypothesis

public Hypothesis getHypothesis()

Returns the hypothesis stored in this model.