com.rapidminer.operator.learner.weka
Class WekaClassifier

java.lang.Object
  com.rapidminer.operator.AbstractIOObject
      com.rapidminer.operator.ResultObjectAdapter
          com.rapidminer.operator.AbstractModel
              com.rapidminer.operator.learner.PredictionModel
                  com.rapidminer.operator.learner.weka.WekaClassifier

All Implemented Interfaces:

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

public class WekaClassifier
extends PredictionModel

A Weka Classifier which can be used to classify Examples. It is learned by the GenericWekaLearner and the GenericWekaMetaLearner.

Author:

Ingo Mierswa

See Also:

Serialized Form

Constructor Summary

WekaClassifier(ExampleSet exampleSet, java.lang.String name, weka.classifiers.Classifier classifier)

Method Summary

void	applyModelForInstance(weka.core.Instance instance, Example e, Attribute predictedLabelAttribute) Classifies ervery weka instance and sets the result as predicted label of the current example.
boolean	equals(java.lang.Object o)
weka.classifiers.Classifier	getClassifier()
java.lang.String	getName() The default implementation returns the result of the super class.
java.awt.Component	getVisualizationComponent(IOContainer container) Returns a editor pane that displays the ResultObjectAdapter.toResultString() result encoded as html.
int	hashCode()
boolean	isUpdatable() Returns true if the Weka classifier is updatable.
ExampleSet	performPrediction(ExampleSet exampleSet, Attribute predictedLabel) Subclasses should iterate through the given example set and set the prediction for each example.
java.lang.String	toResultString() The default implementation simply returns the result of the method Object.toString().
java.lang.String	toString()
void	updateModel(ExampleSet updateExampleSet) Updates the model if the classifier is updatable.

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, setParameter

Methods inherited from class com.rapidminer.operator.ResultObjectAdapter

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

Methods inherited from class com.rapidminer.operator.AbstractIOObject

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

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.rapidminer.operator.ResultObject

getActions

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

WekaClassifier

public WekaClassifier(ExampleSet exampleSet,
                      java.lang.String name,
                      weka.classifiers.Classifier classifier)

Method Detail

getClassifier

public weka.classifiers.Classifier getClassifier()

isUpdatable

public boolean isUpdatable()

Returns true if the Weka classifier is updatable.

Specified by:

isUpdatable in interface Model

Overrides:

isUpdatable in class AbstractModel

updateModel

public void updateModel(ExampleSet updateExampleSet)
                 throws OperatorException

Updates the model if the classifier is updatable. Otherwise, an UnsupportedOperationException is thrown.

Specified by:

updateModel in interface Model

Overrides:

updateModel in class AbstractModel

Throws:

OperatorException

performPrediction

public ExampleSet performPrediction(ExampleSet exampleSet,
                                    Attribute predictedLabel)
                             throws OperatorException

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

Throws:

OperatorException

applyModelForInstance

public void applyModelForInstance(weka.core.Instance instance,
                                  Example e,
                                  Attribute predictedLabelAttribute)

Classifies ervery weka instance and sets the result as predicted label of the current example.

getName

public java.lang.String getName()

Description copied from class: AbstractModel

The default implementation returns the result of the super class. If the string ends with model, the substring "model" is removed.

Specified by:

getName in interface ResultObject

Overrides:

getName in class AbstractModel

toString

public java.lang.String toString()

Specified by:

toString in interface Readable

Overrides:

toString in class PredictionModel

toResultString

public java.lang.String toResultString()

Description copied from class: ResultObjectAdapter

The default implementation simply returns the result of the method Object.toString().

Specified by:

toResultString in interface ResultObject

Overrides:

toResultString in class ResultObjectAdapter

getVisualizationComponent

public java.awt.Component getVisualizationComponent(IOContainer container)

Description copied from class: ResultObjectAdapter

Returns a editor pane that displays the ResultObjectAdapter.toResultString() result encoded as html. Please note that the returned pane is already enclosed by a scroll pane. If you overwrite this method you should again ensure that the returned component is scrollable. The given container is totally ignored.

Specified by:

getVisualizationComponent in interface ResultObject

Overrides:

getVisualizationComponent in class ResultObjectAdapter

equals

public boolean equals(java.lang.Object o)

Overrides:

equals in class java.lang.Object

hashCode

public int hashCode()

Overrides:

hashCode in class java.lang.Object