edu.udo.cs.yale.operator.learner.kernel
Class AbstractMySVMModel

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.AbstractMySVMModel

All Implemented Interfaces:

IOObject, Model, ResultObject, Saveable

Direct Known Subclasses:

JMySVMModel, MyKLRModel

public abstract class AbstractMySVMModel
extends KernelModel

The abstract superclass for the SVM models by Stefan Rueping.

Version:

$Id: AbstractMySVMModel.java,v 1.11 2006/03/27 13:22:01 ingomierswa Exp $

Author:

Ingo Mierswa

Field Summary

private Kernel	kernel
private int	kernelType
private ExampleSet	model

Constructor Summary

AbstractMySVMModel()

AbstractMySVMModel(Attribute labelAttribute)

AbstractMySVMModel(Attribute labelAttribute, ExampleSet model, Kernel kernel, int kernelType)

Method Summary

abstract SVMInterface	createSVM() Creates a new SVM for prediction.
double	getAlpha(int index)
double	getAttributeValue(int exampleIndex, int attributeIndex)
java.lang.String	getClassificationLabel(int index)
ExampleSet	getExampleSet() Gets the model, i.e. an SVM example set.
double	getFunctionValue(int index)
java.lang.String	getId(int index)
Kernel	getKernel() Gets the kernel.
java.lang.String	getModelInfo()
int	getNumberOfAttributes()
int	getNumberOfExamples()
double	getRegressionLabel(int index)
boolean	isClassificationModel()
void	performPrediction(ExampleSet exampleSet, Attribute predictedLabelAttribute) Subclasses should iterated through the given example set and set the prediction for each example.
void	readPredictionModelData(java.io.ObjectInputStream in) Reads the support vectors and the kernel from the input stream.
abstract void	setPrediction(Example example, double prediction) Sets the correct prediction to the example from the result value of the SVM.
java.lang.String	toString()
void	writePredictionModelData(java.io.ObjectOutputStream out) Writes the support vectors and the kernel into the input stream.

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

model

private ExampleSet model

kernel

private Kernel kernel

kernelType

private int kernelType

Constructor Detail

AbstractMySVMModel

public AbstractMySVMModel()

AbstractMySVMModel

public AbstractMySVMModel(Attribute labelAttribute)

AbstractMySVMModel

public AbstractMySVMModel(Attribute labelAttribute,
                          ExampleSet model,
                          Kernel kernel,
                          int kernelType)

Method Detail

createSVM

public abstract SVMInterface createSVM()

Creates a new SVM for prediction.

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

getKernel

public Kernel getKernel()

Gets the kernel.

getExampleSet

public ExampleSet getExampleSet()

Gets the model, i.e. an SVM example set.

setPrediction

public abstract void setPrediction(Example example,
                                   double prediction)

Sets the correct prediction to the example from the result value of the SVM.

readPredictionModelData

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

Reads the support vectors and the kernel 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 support vectors and the kernel into the input stream.

Specified by:

writePredictionModelData in class PredictionModel

Throws:

java.io.IOException

performPrediction

public void performPrediction(ExampleSet exampleSet,
                              Attribute predictedLabelAttribute)
                       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

toString

public java.lang.String toString()

Overrides:

toString in class PredictionModel