F1MacroAverageL (jaicore-ml 0.2.1 API)

java.lang.Object
- ai.libs.jaicore.ml.classification.loss.dataset.APredictionPerformanceMeasure<int[],org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification>
- - ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.AThresholdBasedMultiLabelClassificationMeasure
  - - ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.F1MacroAverageL

All Implemented Interfaces:

org.api4.java.ai.ml.classification.multilabel.evaluation.loss.IMultiLabelClassificationPredictionPerformanceMeasure, org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<int[],org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification>
```
public class F1MacroAverageL
extends AThresholdBasedMultiLabelClassificationMeasure
```

Constructor Summary

Constructors
Constructor Description

F1MacroAverageL()

F1MacroAverageL(double threshold)

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`double`	`loss(java.util.List<? extends int[]> expected, java.util.List<? extends org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification> actual)`
`double`	`score(java.util.List<? extends int[]> expected, java.util.List<? extends org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification> actual)`

Methods inherited from class ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.AThresholdBasedMultiLabelClassificationMeasure
getThreshold, listToMatrix, listToRelevanceMatrix, listToThresholdedRelevanceMatrix, transposeMatrix, transposeMatrix

Methods inherited from class ai.libs.jaicore.ml.classification.loss.dataset.APredictionPerformanceMeasure
averageInstanceWiseLoss, averageInstanceWiseScore, checkConsistency, loss, score

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure
loss, score

- Constructor Detail
  - F1MacroAverageL
```
public F1MacroAverageL(double threshold)
```
  - F1MacroAverageL
```
public F1MacroAverageL()
```
- Method Detail
  - loss
```
public double loss(java.util.List<? extends int[]> expected,
                   java.util.List<? extends org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification> actual)
```
    Specified by:
    
    loss in interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<int[],org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification>
    
    Overrides:
    
    loss in class APredictionPerformanceMeasure<int[],org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification>
  - score
```
public double score(java.util.List<? extends int[]> expected,
                    java.util.List<? extends org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification> actual)
```
    Specified by:
    
    score in interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<int[],org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification>
    
    Overrides:
    
    score in class APredictionPerformanceMeasure<int[],org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification>