com.rapidminer.operator.learner.meta
Class MultiModelByRegression

java.lang.Object
  com.rapidminer.operator.AbstractIOObject
      com.rapidminer.operator.ResultObjectAdapter
          com.rapidminer.operator.AbstractModel
              com.rapidminer.operator.learner.PredictionModel
                  com.rapidminer.operator.learner.meta.MultiModelByRegression

All Implemented Interfaces:

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

public class MultiModelByRegression
extends PredictionModel

MultiModels are used for multi class learning tasks. A MultiModel contains a set of Models that can handle only two-class decisions. In this case, the models must be regression models which are combined.

Author:

Ingo Mierswa, Simon Fischer ingomierswa Exp $

See Also:

Serialized Form

Constructor Summary

MultiModelByRegression(ExampleSet exampleSet, Model[] models)

Method Summary

Model	getModel(int index) Returns a binary decision model for the given classification index.
int	getNumberOfModels()
java.awt.Component	getVisualizationComponent(IOContainer container) Returns a editor pane that displays the ResultObjectAdapter.toResultString() result encoded as html.
ExampleSet	performPrediction(ExampleSet exampleSet, Attribute predictedLabelAttribute) Iterates over all classes of the label and applies one model for each class.
java.lang.String	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, getName, 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

MultiModelByRegression

public MultiModelByRegression(ExampleSet exampleSet,
                              Model[] models)

Method Detail

getNumberOfModels

public int getNumberOfModels()

getModel

public Model getModel(int index)

Returns a binary decision model for the given classification index.

performPrediction

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

Iterates over all classes of the label and applies one model for each class. For each example the predicted label is determined by choosing the model with the highest confidence.

Specified by:

performPrediction in class PredictionModel

Throws:

OperatorException

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

toString

public java.lang.String toString()

Specified by:

toString in interface Readable

Overrides:

toString in class PredictionModel