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

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.RVMModel

All Implemented Interfaces:

IOObject, Model, ResultObject, Saveable

public class RVMModel
extends KernelModel

A model generated by the RVMLearner.

Version:

$Id: RVMModel.java,v 1.5 2006/09/30 00:05:31 ingomierswa Exp $

Author:

Piotr Kasprzak, Ingo Mierswa

Field Summary

private Model

model

Constructor Summary

RVMModel()
Constructors

RVMModel(Attribute label)

RVMModel(Attribute label, Model model)

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()
static double[]	makeInputVector(Example e) Create an input vector from an example
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 from the input stream.
void	writePredictionModelData(java.io.ObjectOutputStream out) Writes the model data into the output 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, 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, 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 Model model

Constructor Detail

RVMModel

public RVMModel()

Constructors

RVMModel

public RVMModel(Attribute label)

RVMModel

public RVMModel(Attribute label,
                Model model)

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

makeInputVector

public static double[] makeInputVector(Example e)

Create an input vector from an 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

performPrediction

public void performPrediction(ExampleSet exampleSet,
                              Attribute predictedLabel)

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