Package ai.libs.jaicore.ml.ranking.loss
Class TopKOfPredicted
- java.lang.Object
-
- ai.libs.jaicore.ml.classification.loss.dataset.APredictionPerformanceMeasure<org.api4.java.ai.ml.ranking.IRanking<?>,org.api4.java.ai.ml.ranking.IRanking<?>>
-
- ai.libs.jaicore.ml.ranking.loss.ARankingPredictionPerformanceMeasure
-
- ai.libs.jaicore.ml.ranking.loss.TopKOfPredicted
-
- All Implemented Interfaces:
org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicHomogeneousPredictionPerformanceMeasure<org.api4.java.ai.ml.ranking.IRanking<?>>,org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<org.api4.java.ai.ml.ranking.IRanking<?>,org.api4.java.ai.ml.ranking.IRanking<?>>,org.api4.java.ai.ml.ranking.loss.IRankingPredictionPerformanceMeasure
public class TopKOfPredicted extends ARankingPredictionPerformanceMeasure implements org.api4.java.ai.ml.ranking.loss.IRankingPredictionPerformanceMeasure
Calculates if the top-k dyads of the predicted ranking match the top-k dyads of the actual ranking. This ignores the rankings.
-
-
Constructor Summary
Constructors Constructor Description TopKOfPredicted(int k)Specifies the amount of top rankings to consider.
-
Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description doubleloss(org.api4.java.ai.ml.ranking.IRanking<?> actual, org.api4.java.ai.ml.ranking.IRanking<?> predicted)-
Methods inherited from class ai.libs.jaicore.ml.ranking.loss.ARankingPredictionPerformanceMeasure
loss
-
Methods inherited from class ai.libs.jaicore.ml.classification.loss.dataset.APredictionPerformanceMeasure
averageInstanceWiseLoss, averageInstanceWiseScore, checkConsistency, loss, score, score
-
-
-
-
Method Detail
-
loss
public double loss(org.api4.java.ai.ml.ranking.IRanking<?> actual, org.api4.java.ai.ml.ranking.IRanking<?> predicted)- Specified by:
lossin classARankingPredictionPerformanceMeasure
-
-