edu.udo.cs.yale.operator.learner.kernel.evosvm
Class EvoSVMModel

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.kernel.KernelModel
                          edu.udo.cs.yale.operator.learner.kernel.evosvm.EvoSVMModel

All Implemented Interfaces:

IOObject, Model, ResultObject, Saveable

public class EvoSVMModel
extends KernelModel

The model for the evolutionary SVM. Basically the same as other SVM models.

Version:

$Id: EvoSVMModel.java,v 1.9 2006/09/30 00:05:30 ingomierswa Exp $

Author:

Ingo Mierswa

Field Summary

private double	bias The bias.
private Kernel	kernel The used kernel function.
private int	numberOfAttributes The number of attributes.
private java.util.List<SupportVector>	supportVectors The list of all support vectors.

Constructor Summary

EvoSVMModel()
Creates a new EvoSVMModel (after loading).

EvoSVMModel(Attribute label)
Creates a new EvoSVMModel (after loading).

EvoSVMModel(Attribute label, java.util.List<SupportVector> supportVectors, Kernel kernel, double bias)
Creates a new EvoSVMModel after training.

Method Summary

double	getAlpha(int index)
double	getAttributeValue(int exampleIndex, int attributeIndex)
java.lang.String	getClassificationLabel(int index)
double	getFunctionValue(int index)
java.lang.String	getId(int index)
java.lang.String	getModelInfo()
int	getNumberOfAttributes()
int	getNumberOfExamples()
double	getRegressionLabel(int index)
boolean	isClassificationModel()
void	performPrediction(ExampleSet exampleSet, Attribute predictedLabelAttribute) Applies the model to each example of the example set.
void	readPredictionModelData(java.io.ObjectInputStream in) Reads the data for this model.
java.lang.String	toString() Returns a string representation of this model.
void	writePredictionModelData(java.io.ObjectOutputStream out) Writes the data for this model.

Methods inherited from class edu.udo.cs.yale.operator.learner.kernel.KernelModel

getVisualisationComponent

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

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

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

addAction, getActions, getName, 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, toResultString

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

copy, write, write

Field Detail

kernel

private Kernel kernel

The used kernel function.

supportVectors

private java.util.List<SupportVector> supportVectors

The list of all support vectors.

bias

private double bias

The bias.

numberOfAttributes

private int numberOfAttributes

The number of attributes.

Constructor Detail

EvoSVMModel

public EvoSVMModel()

Creates a new EvoSVMModel (after loading).

EvoSVMModel

public EvoSVMModel(Attribute label)

Creates a new EvoSVMModel (after loading).

EvoSVMModel

public EvoSVMModel(Attribute label,
                   java.util.List<SupportVector> supportVectors,
                   Kernel kernel,
                   double bias)

Creates a new EvoSVMModel after training.

Method Detail

getModelInfo

public java.lang.String getModelInfo()

Specified by:

getModelInfo in class KernelModel

isClassificationModel

public boolean isClassificationModel()

Specified by:

isClassificationModel in class KernelModel

getAlpha

public double getAlpha(int index)

Specified by:

getAlpha in class KernelModel

getId

public java.lang.String getId(int index)

Specified by:

getId in class KernelModel

getNumberOfExamples

public int getNumberOfExamples()

Specified by:

getNumberOfExamples in class KernelModel

getNumberOfAttributes

public int getNumberOfAttributes()

Specified by:

getNumberOfAttributes in class KernelModel

getAttributeValue

public double getAttributeValue(int exampleIndex,
                                int attributeIndex)

Specified by:

getAttributeValue in class KernelModel

getClassificationLabel

public java.lang.String getClassificationLabel(int index)

Specified by:

getClassificationLabel in class KernelModel

getRegressionLabel

public double getRegressionLabel(int index)

Specified by:

getRegressionLabel in class KernelModel

getFunctionValue

public double getFunctionValue(int index)

Specified by:

getFunctionValue in class KernelModel

performPrediction

public void performPrediction(ExampleSet exampleSet,
                              Attribute predictedLabelAttribute)

Applies the model to each example of the example set.

Specified by:

performPrediction in class PredictionModel

readPredictionModelData

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

Reads the data for this model.

Specified by:

readPredictionModelData in class PredictionModel

Throws:

java.io.IOException

writePredictionModelData

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

Writes the data for this model.

Specified by:

writePredictionModelData in class PredictionModel

Throws:

java.io.IOException

toString

public java.lang.String toString()

Returns a string representation of this model.

Overrides:

toString in class PredictionModel