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

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.KernelLogisticRegressionModel

All Implemented Interfaces:

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

public class KernelLogisticRegressionModel
extends KernelModel

The model determined by the KernelLogisticRegression operator.

Author:

Ingo Mierswa

See Also:

Serialized Form

Constructor Summary

KernelLogisticRegressionModel(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)
double	getFunctionValue(int index)
java.lang.String	getId(int index)
java.lang.String	getName() The default implementation returns the classname without package.
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, 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

KernelLogisticRegressionModel

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

Creates a classification model.

Method Detail

getName

public java.lang.String getName()

Description copied from class: KernelModel

The default implementation returns the classname without package.

Specified by:

getName in interface ResultObject

Overrides:

getName 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

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