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

Class AInstanceMeasure<O,​P>

  • All Implemented Interfaces:
    org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicInstancePredictionPerformanceMeasure<O,​P>
    Direct Known Subclasses:
    JaccardScore, SquaredError
    public class AInstanceMeasure<O,​P>
extends java.lang.Object
implements org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicInstancePredictionPerformanceMeasure<O,​P>

    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      double loss​(P expected, O actual)  
      double score​(P expected, O actual)  

      • Methods inherited from class java.lang.Object

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    • Constructor Detail

      • AInstanceMeasure

        public AInstanceMeasure()

    • Method Detail

      • loss

        public double loss​(P expected,
                   O actual)
        Specified by:
        loss in interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicInstancePredictionPerformanceMeasure<O,​P>

      • score

        public double score​(P expected,
                    O actual)
        Specified by:
        score in interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicInstancePredictionPerformanceMeasure<O,​P>