Package moa.evaluation

Class BasicMultiLabelPerformanceEvaluator

java.lang.Object

moa.AbstractMOAObject

moa.evaluation.BasicMultiLabelPerformanceEvaluator

All Implemented Interfaces:

java.io.Serializable, CapabilitiesHandler, LearningPerformanceEvaluator<Example<Instance>>, MultiTargetPerformanceEvaluator, MOAObject

public class BasicMultiLabelPerformanceEvaluator
extends AbstractMOAObject
implements MultiTargetPerformanceEvaluator

Multilabel Window Classification Performance Evaluator.

Version:

$Revision: 1 $ Added instance based F-Measure, Recall, Precision and Accuracy, $Revision: 2 $

Author:

Jesse Read ([email protected]), R. Sousa, J.Gama

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
protected int	L

Constructor Summary

Constructors

Constructor	Description
BasicMultiLabelPerformanceEvaluator()

Method Summary

Modifier and Type	Method	Description
void	addResult(Example<Instance> example, double[] classVotes)	Adds a learning result to this evaluator.
void	addResult(Example<Instance> example, Prediction y)
void	getDescription(java.lang.StringBuilder sb, int indent)	Returns a string representation of this object.
Measurement[]	getPerformanceMeasurements()	Gets the current measurements monitored by this evaluator.
void	reset()	Resets this evaluator.

Methods inherited from class moa.AbstractMOAObject

copy, copy, measureByteSize, measureByteSize, toString

Methods inherited from interface moa.capabilities.CapabilitiesHandler

getCapabilities

Methods inherited from interface moa.evaluation.LearningPerformanceEvaluator

defineImmutableCapabilities

Methods inherited from interface moa.MOAObject

copy, measureByteSize

Methods inherited from class java.lang.Object

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

Field Detail

L

protected int L

Constructor Detail

BasicMultiLabelPerformanceEvaluator

public BasicMultiLabelPerformanceEvaluator()

Method Detail

reset

public void reset()

Description copied from interface: LearningPerformanceEvaluator

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

Specified by:

reset in interface LearningPerformanceEvaluator<Example<Instance>>

addResult

public void addResult(Example<Instance> example,
                      Prediction y)

Specified by:

addResult in interface LearningPerformanceEvaluator<Example<Instance>>

getPerformanceMeasurements

public Measurement[] getPerformanceMeasurements()

Description copied from interface: LearningPerformanceEvaluator

Gets the current measurements monitored by this evaluator.

Specified by:

getPerformanceMeasurements in interface LearningPerformanceEvaluator<Example<Instance>>

Returns:

an array of measurements monitored by this evaluator

getDescription

public void getDescription(java.lang.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

addResult

public void addResult(Example<Instance> example,
                      double[] classVotes)

Description copied from interface: LearningPerformanceEvaluator

Adds a learning result to this evaluator.

Specified by:

addResult in interface LearningPerformanceEvaluator<Example<Instance>>

Parameters:

example - the example to be classified

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