com.rapidminer.operator.learner.functions.kernel
Class RVMModel

java.lang.Object
  com.rapidminer.operator.AbstractIOObject
      com.rapidminer.operator.ResultObjectAdapter
          com.rapidminer.operator.AbstractModel
              com.rapidminer.operator.learner.PredictionModel
                  com.rapidminer.operator.learner.functions.kernel.KernelModel
                      com.rapidminer.operator.learner.functions.kernel.RVMModel

All Implemented Interfaces:

IOObject, Model, ResultObject, Saveable, Readable, Reportable, LoggingHandler, java.io.Serializable

public class RVMModel
extends KernelModel

A model generated by the RVMLearner.

Author:

Piotr Kasprzak, Ingo Mierswa

See Also:

Serialized Form

Constructor Summary

RVMModel(ExampleSet exampleSet, Model model)

Method Summary

double	getAlpha(int index)
double	getAttributeValue(int exampleIndex, int attributeIndex)
double	getBias()
java.lang.String	getClassificationLabel(int index)
double	getFunctionValue(int index)
java.lang.String	getId(int index)
int	getNumberOfAttributes()
int	getNumberOfSupportVectors()
double	getRegressionLabel(int index)
SupportVector	getSupportVector(int index)
boolean	isClassificationModel()
static double[]	makeInputVector(Example e) Create an input vector from an example
ExampleSet	performPrediction(ExampleSet exampleSet, Attribute predictedLabel) Subclasses should iterate through the given example set and set the prediction for each example.

Methods inherited from class com.rapidminer.operator.learner.functions.kernel.KernelModel

createWeightsTable, getAttributeConstructions, getName, getVisualizationComponent, toString

Methods inherited from class com.rapidminer.operator.learner.PredictionModel

apply, checkCompatibility, copyPredictedLabel, createPredictedLabel, getLabel, removePredictedLabel, removePredictedLabel

Methods inherited from class com.rapidminer.operator.AbstractModel

getExtension, getFileDescription, getResultIcon, getTrainingHeader, isUpdatable, setParameter, updateModel

Methods inherited from class com.rapidminer.operator.ResultObjectAdapter

addAction, getActions, isSavable, log, logError, logNote, logWarning, save, toHTML, toResultString

Methods inherited from class com.rapidminer.operator.AbstractIOObject

copy, getLog, getSource, initWriting, read, setLoggingHandler, setSource, write

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.rapidminer.operator.ResultObject

getActions, toResultString

Methods inherited from interface com.rapidminer.operator.IOObject

copy, getLog, getSource, setLoggingHandler, setSource, write

Methods inherited from interface com.rapidminer.operator.Saveable

isSavable, save

Constructor Detail

RVMModel

public RVMModel(ExampleSet exampleSet,
                Model model)

Method Detail

isClassificationModel

public boolean isClassificationModel()

Specified by:

isClassificationModel in class KernelModel

getAlpha

public double getAlpha(int index)

Specified by:

getAlpha in class KernelModel

getBias

public double getBias()

Specified by:

getBias in class KernelModel

getSupportVector

public SupportVector getSupportVector(int index)

Specified by:

getSupportVector in class KernelModel

getId

public java.lang.String getId(int index)

Specified by:

getId in class KernelModel

getNumberOfSupportVectors

public int getNumberOfSupportVectors()

Specified by:

getNumberOfSupportVectors 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

performPrediction

public ExampleSet performPrediction(ExampleSet exampleSet,
                                    Attribute predictedLabel)

Description copied from class: PredictionModel

Subclasses should iterate 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