com.rapidminer.operator.learner.local
Class LocalPolynomialRegressionModel

java.lang.Object
  com.rapidminer.operator.AbstractIOObject
      com.rapidminer.operator.ResultObjectAdapter
          com.rapidminer.operator.AbstractModel
              com.rapidminer.operator.learner.PredictionModel
                  com.rapidminer.operator.learner.local.LocalPolynomialRegressionModel

All Implemented Interfaces:

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

public class LocalPolynomialRegressionModel
extends PredictionModel

Author:

Sebastian Land

See Also:

Serialized Form

Nested Class Summary

static class

LocalPolynomialRegressionModel.RegressionData

Nested classes/interfaces inherited from class com.rapidminer.operator.AbstractIOObject

AbstractIOObject.InputStreamProvider

Constructor Summary

protected

LocalPolynomialRegressionModel(ExampleSet trainingExampleSet, GeometricDataCollection<LocalPolynomialRegressionModel.RegressionData> data, Neighborhood neighborhood, SmoothingKernel kernelSmoother, int degree, double ridge)

Method Summary

java.lang.String[]	getAttributeNames()
int	getDegree()
SmoothingKernel	getKernelSmoother()
Neighborhood	getNeighborhood()
double	getRidge()
GeometricDataCollection<LocalPolynomialRegressionModel.RegressionData>	getSamples()
ExampleSet	performPrediction(ExampleSet exampleSet, Attribute predictedLabel) Subclasses should iterate through the given example set and set the prediction for each example.
java.lang.String	toString()

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

apply, checkCompatibility, copyPredictedLabel, createPredictedLabel, createPredictionAttributes, getLabel, removePredictedLabel, removePredictedLabel, supportsConfidences

Methods inherited from class com.rapidminer.operator.AbstractModel

getExtension, getFileDescription, getName, getTrainingHeader, isInTargetEncoding, isUpdatable, setParameter, updateModel

Methods inherited from class com.rapidminer.operator.ResultObjectAdapter

addAction, getActions, getAnnotations, getResultIcon, log, log, logError, logNote, logWarning, toHTML, toResultString

Methods inherited from class com.rapidminer.operator.AbstractIOObject

appendOperatorToHistory, copy, getLog, getProcessingHistory, getSource, initWriting, read, read, read, 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, getResultIcon, toResultString

Methods inherited from interface com.rapidminer.operator.IOObject

appendOperatorToHistory, copy, getAnnotations, getLog, getProcessingHistory, getSource, setLoggingHandler, setSource, write

Constructor Detail

LocalPolynomialRegressionModel

protected LocalPolynomialRegressionModel(ExampleSet trainingExampleSet,
                                         GeometricDataCollection<LocalPolynomialRegressionModel.RegressionData> data,
                                         Neighborhood neighborhood,
                                         SmoothingKernel kernelSmoother,
                                         int degree,
                                         double ridge)

Method Detail

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

toString

public java.lang.String toString()

Specified by:

toString in interface Readable

Overrides:

toString in class PredictionModel

getSamples

public GeometricDataCollection<LocalPolynomialRegressionModel.RegressionData> getSamples()

getNeighborhood

public Neighborhood getNeighborhood()

getKernelSmoother

public SmoothingKernel getKernelSmoother()

getDegree

public int getDegree()

getRidge

public double getRidge()

getAttributeNames

public java.lang.String[] getAttributeNames()