com.rapidminer.operator.learner.functions.kernel.evosvm
Class EvoSVMModel

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.evosvm.EvoSVMModel

All Implemented Interfaces:

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

public class EvoSVMModel
extends KernelModel
implements FormulaProvider

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

Author:

Ingo Mierswa

See Also:

Serialized Form

Constructor Summary

EvoSVMModel(ExampleSet exampleSet, java.util.List<SupportVector> supportVectors, Kernel kernel, double bias)
Creates a classification model.

Method Summary

double	getAlpha(int index)
double	getAttributeValue(int exampleIndex, int attributeIndex)
double	getBias()
java.lang.String	getClassificationLabel(int index)
java.lang.String	getFormula()
double	getFunctionValue(int index)
java.lang.String	getId(int index)
int	getNumberOfAttributes()
int	getNumberOfSupportVectors()
double	getRegressionLabel(int index)
SupportVector	getSupportVector(int index)
boolean	isClassificationModel()
ExampleSet	performPrediction(ExampleSet exampleSet, Attribute predLabel) Applies the model to each example of the example set.

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.Model

apply, isUpdatable, setParameter, updateModel

Methods inherited from interface com.rapidminer.operator.ResultObject

getActions, getName, getResultIcon, getVisualizationComponent, toResultString

Methods inherited from interface com.rapidminer.operator.IOObject

copy, getLog, getSource, setLoggingHandler, setSource, write

Methods inherited from interface com.rapidminer.operator.Saveable

getExtension, getFileDescription, isSavable, save

Methods inherited from interface com.rapidminer.report.Readable

toString

Constructor Detail

EvoSVMModel

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

Creates a classification 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

getId

public java.lang.String getId(int index)

Specified by:

getId 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

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

performPrediction

public ExampleSet performPrediction(ExampleSet exampleSet,
                                    Attribute predLabel)

Applies the model to each example of the example set.

Specified by:

performPrediction in class PredictionModel

getFormula

public java.lang.String getFormula()

Specified by:

getFormula in interface FormulaProvider