Package ai.libs.jaicore.ml.classification.loss.dataset

Class AHomogeneousPredictionPerformanceMeasure<O>

java.lang.Object

ai.libs.jaicore.ml.classification.loss.dataset.APredictionPerformanceMeasure<O,O>

ai.libs.jaicore.ml.classification.loss.dataset.AHomogeneousPredictionPerformanceMeasure<O>

All Implemented Interfaces:

org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicHomogeneousPredictionPerformanceMeasure<O>, org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<O,O>

Direct Known Subclasses:

FalseNegatives, FalsePositives, FMeasure, Precision, Recall, TrueNegatives, TruePositives

public class AHomogeneousPredictionPerformanceMeasure<O>
extends APredictionPerformanceMeasure<O,O>
implements org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicHomogeneousPredictionPerformanceMeasure<O>

Constructor Summary

Constructors

Constructor	Description
AHomogeneousPredictionPerformanceMeasure()

Method Summary

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

AHomogeneousPredictionPerformanceMeasure

public AHomogeneousPredictionPerformanceMeasure()