ai.libs.jaicore.ml.core.evaluation.measure.multilabel

Class AutoMEKAGGPFitnessMeasure

java.lang.Object

ai.libs.jaicore.ml.core.evaluation.measure.ADecomposableMeasure<I,java.lang.Double>

ai.libs.jaicore.ml.core.evaluation.measure.ADecomposableDoubleMeasure<I>

ai.libs.jaicore.ml.core.evaluation.measure.LossScoreTransformer<double[]>

ai.libs.jaicore.ml.core.evaluation.measure.multilabel.AutoMEKAGGPFitnessMeasure

All Implemented Interfaces:

IMeasure<double[],java.lang.Double>, IMultilabelMeasure

public class AutoMEKAGGPFitnessMeasure
extends LossScoreTransformer<double[]>
implements IMultilabelMeasure

Fitness function for a linear combination of 4 well-known multi-label metrics: ExactMatch, Hamming, Rank and F1MacroAverageL. de Sá, Alex GC, Gisele L. Pappa, and Alex A. Freitas. "Towards a method for automatically selecting and configuring multi-label classification algorithms." Proceedings of the Genetic and Evolutionary Computation Conference Companion. ACM, 2017.

Constructor Summary

Constructors

Constructor and Description
AutoMEKAGGPFitnessMeasure()

Method Summary

Methods inherited from class ai.libs.jaicore.ml.core.evaluation.measure.LossScoreTransformer

calculateMeasure

Methods inherited from class ai.libs.jaicore.ml.core.evaluation.measure.ADecomposableDoubleMeasure

calculateAvgMeasure

Methods inherited from class ai.libs.jaicore.ml.core.evaluation.measure.ADecomposableMeasure

calculateMeasure, calculateMeasure

Methods inherited from class java.lang.Object

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

Methods inherited from interface ai.libs.jaicore.ml.core.evaluation.measure.IMeasure

calculateAvgMeasure, calculateMeasure, calculateMeasure, calculateMeasure

Constructor Detail

AutoMEKAGGPFitnessMeasure

public AutoMEKAGGPFitnessMeasure()