moa.evaluation

Class BasicRegressionPerformanceEvaluator

java.lang.Object

moa.AbstractMOAObject

moa.evaluation.BasicRegressionPerformanceEvaluator

All Implemented Interfaces:

Serializable, ClassificationPerformanceEvaluator, RegressionPerformanceEvaluator, MOAObject

public class BasicRegressionPerformanceEvaluator
extends AbstractMOAObject
implements RegressionPerformanceEvaluator

Regression evaluator that performs basic incremental evaluation.

Version:

$Revision: 7 $

Author:

Albert Bifet (abifet at cs dot waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected double	averageError
protected double	averageTargetError
protected double	squareError
protected double	squareTargetError
protected double	sumTarget
protected double	weightObserved

Constructor Summary

Constructors

Constructor and Description
BasicRegressionPerformanceEvaluator()

Method Summary

Methods

Modifier and Type	Method and Description
void	addResult(weka.core.Instance inst, double[] prediction) Adds a learning result to this evaluator.
void	getDescription(StringBuilder sb, int indent) Returns a string representation of this object.
double	getMeanError()
Measurement[]	getPerformanceMeasurements() Gets the current measurements monitored by this evaluator.
double	getSquareError()
double	getTargetMeanError()
double	getTargetSquareError()
double	getTotalWeightObserved()
void	reset() Resets this evaluator.

Methods inherited from class moa.AbstractMOAObject

copy, copy, measureByteSize, measureByteSize, toString

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface moa.MOAObject

copy, measureByteSize

Field Detail

weightObserved

protected double weightObserved

squareError

protected double squareError

averageError

protected double averageError

sumTarget

protected double sumTarget

squareTargetError

protected double squareTargetError

averageTargetError

protected double averageTargetError

Constructor Detail

BasicRegressionPerformanceEvaluator

public BasicRegressionPerformanceEvaluator()

Method Detail

reset

public void reset()

Description copied from interface: ClassificationPerformanceEvaluator

Resets this evaluator. It must be similar to starting a new evaluator from scratch.

Specified by:

reset in interface ClassificationPerformanceEvaluator

addResult

public void addResult(weka.core.Instance inst,
             double[] prediction)

Description copied from interface: ClassificationPerformanceEvaluator

Adds a learning result to this evaluator.

Specified by:

addResult in interface ClassificationPerformanceEvaluator

Parameters:

inst - the instance to be classified

prediction - an array containing the estimated membership probabilities of the test instance in each class

getPerformanceMeasurements

public Measurement[] getPerformanceMeasurements()

Description copied from interface: ClassificationPerformanceEvaluator

Gets the current measurements monitored by this evaluator.

Specified by:

getPerformanceMeasurements in interface ClassificationPerformanceEvaluator

Returns:

an array of measurements monitored by this evaluator

getTotalWeightObserved

public double getTotalWeightObserved()

getMeanError

public double getMeanError()

getSquareError

public double getSquareError()

getTargetMeanError

public double getTargetMeanError()

getTargetSquareError

public double getTargetSquareError()

getDescription

public void getDescription(StringBuilder sb,
                  int indent)

Description copied from interface: MOAObject

Returns a string representation of this object. Used in AbstractMOAObject.toString to give a string representation of the object.

Specified by:

getDescription in interface MOAObject

Parameters:

sb - the stringbuilder to add the description

indent - the number of characters to indent