AutoMEKAGGPFitnessMeasure (jaicore-ml 0.1.6 API)

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 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()
```