Package ai.libs.jaicore.ml.classification.multilabel.evaluation.loss

Class AThresholdBasedMultiLabelClassificationMeasure

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

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>

Direct Known Subclasses:

AutoMEKAGGPFitnessMeasureLoss, F1MacroAverageL, InstanceWiseF1

public abstract class AThresholdBasedMultiLabelClassificationMeasure
extends APredictionPerformanceMeasure<int[],org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification>
implements org.api4.java.ai.ml.classification.multilabel.evaluation.loss.IMultiLabelClassificationPredictionPerformanceMeasure

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	AThresholdBasedMultiLabelClassificationMeasure()
protected	AThresholdBasedMultiLabelClassificationMeasure(double threshold)

Method Summary

Modifier and Type	Method	Description
double	getThreshold()
protected int[][]	listToMatrix(java.util.List<? extends int[]> classificationList)
protected double[][]	listToRelevanceMatrix(java.util.List<? extends org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification> classificationList)
protected int[][]	listToThresholdedRelevanceMatrix(java.util.List<? extends org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification> classificationList)
protected double[][]	transposeMatrix(double[][] matrix)
protected int[][]	transposeMatrix(int[][] matrix)

Methods inherited from class ai.libs.jaicore.ml.classification.loss.dataset.APredictionPerformanceMeasure

averageInstanceWiseLoss, averageInstanceWiseScore, checkConsistency, loss, loss, score, 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, loss, score, score

Constructor Detail

AThresholdBasedMultiLabelClassificationMeasure

protected AThresholdBasedMultiLabelClassificationMeasure(double threshold)

AThresholdBasedMultiLabelClassificationMeasure

protected AThresholdBasedMultiLabelClassificationMeasure()

Method Detail

getThreshold

public double getThreshold()

listToRelevanceMatrix

protected double[][] listToRelevanceMatrix(java.util.List<? extends org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification> classificationList)

listToThresholdedRelevanceMatrix

protected int[][] listToThresholdedRelevanceMatrix(java.util.List<? extends org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification> classificationList)

listToMatrix

protected int[][] listToMatrix(java.util.List<? extends int[]> classificationList)

transposeMatrix

protected int[][] transposeMatrix(int[][] matrix)

transposeMatrix

protected double[][] transposeMatrix(double[][] matrix)