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

Class FalseNegatives

java.lang.Object

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

ai.libs.jaicore.ml.classification.loss.dataset.AHomogeneousPredictionPerformanceMeasure<java.lang.Object>

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

All Implemented Interfaces:

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

public class FalseNegatives
extends AHomogeneousPredictionPerformanceMeasure<java.lang.Object>

Constructor Summary

Constructors

Constructor	Description
FalseNegatives(java.lang.Object positiveClass)

Method Summary

Modifier and Type	Method	Description
double	score(java.util.List<? extends java.lang.Object> expected, java.util.List<? extends java.lang.Object> actual)

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

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

Constructor Detail

FalseNegatives

public FalseNegatives(java.lang.Object positiveClass)

Method Detail

score

public double score(java.util.List<? extends java.lang.Object> expected,
                    java.util.List<? extends java.lang.Object> actual)

Specified by:

score in interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<java.lang.Object,java.lang.Object>

Overrides:

score in class APredictionPerformanceMeasure<java.lang.Object,java.lang.Object>