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

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
                              edu.udo.cs.yale.operator.learner.kernel.MyKLRModel

All Implemented Interfaces:

IOObject, Model, ResultObject, Saveable

public class MyKLRModel
extends AbstractMySVMModel

The model for the MyKLR learner by Stefan Rueping.

Version:

$Id: MyKLRModel.java,v 1.13 2006/08/03 14:39:31 ingomierswa Exp $

Author:

Ingo Mierswa

Constructor Summary

MyKLRModel()

MyKLRModel(Attribute labelAttribute)

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

Method Summary

void	apply(ExampleSet exampleSet) Applies the model by creating a predicted label attribue and setting the predicted label values.
protected Attribute	createPredictedLabel(ExampleSet exampleSet) Creates a predicted label for the given example set based on the label attribute defined for this prediction model.
SVMInterface	createSVM() Creates a new SVM for prediction.
void	setPrediction(Example example, double prediction) Sets the correct prediction to the example from the result value of the SVM.

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

getAlpha, getAttributeValue, getClassificationLabel, getExampleSet, getFunctionValue, getId, getKernel, getModelInfo, getNumberOfAttributes, getNumberOfExamples, getRegressionLabel, isClassificationModel, performPrediction, readPredictionModelData, toString, writePredictionModelData

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

getVisualisationComponent

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

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

Constructor Detail

MyKLRModel

public MyKLRModel()

MyKLRModel

public MyKLRModel(Attribute labelAttribute)

MyKLRModel

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

Method Detail

apply

public void apply(ExampleSet exampleSet)
           throws OperatorException

Description copied from class: PredictionModel

Applies the model by creating a predicted label attribue and setting the predicted label values.

Specified by:

apply in interface Model

Overrides:

apply in class PredictionModel

Throws:

OperatorException

createSVM

public SVMInterface createSVM()

Description copied from class: AbstractMySVMModel

Creates a new SVM for prediction.

Specified by:

createSVM in class AbstractMySVMModel

setPrediction

public void setPrediction(Example example,
                          double prediction)

Description copied from class: AbstractMySVMModel

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

Specified by:

setPrediction in class AbstractMySVMModel

createPredictedLabel

protected Attribute createPredictedLabel(ExampleSet exampleSet)

Description copied from class: PredictionModel

Creates a predicted label for the given example set based on the label attribute defined for this prediction model. Subclasses which override this method should first invoke super.createPredictedLabel(exampleSet) and should then replace the attribute with a new predicted label attribute via a method call like exampleSet.replaceAttribute(predictedLabel, AttributeFactory.changeValueType(predictedLabel, Ontology.REAL)); . This might be usefull in cases where a crisp nominal prediction should be replace by confidence predictions.

Overrides:

createPredictedLabel in class PredictionModel