Package ai.libs.jaicore.ml.regression.loss

Enum ERegressionPerformanceMeasure

  • All Implemented Interfaces:
    java.io.Serializable, java.lang.Comparable<ERegressionPerformanceMeasure>, org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<java.lang.Double,​org.api4.java.ai.ml.regression.evaluation.IRegressionPrediction>
    public enum ERegressionPerformanceMeasure
extends java.lang.Enum<ERegressionPerformanceMeasure>
implements org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<java.lang.Double,​org.api4.java.ai.ml.regression.evaluation.IRegressionPrediction>

    • Enum Constant Summary

      Enum Constants 
      Enum Constant Description
      MAE  
      MAPE  
      MSE  
      R2  
      RMSE  
      RMSLE  

    • Method Summary

      All Methods Static Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      double loss​(java.util.List<? extends java.lang.Double> expected, java.util.List<? extends org.api4.java.ai.ml.regression.evaluation.IRegressionPrediction> predicted)  
      double loss​(org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable<? extends java.lang.Double,​? extends org.api4.java.ai.ml.regression.evaluation.IRegressionPrediction> pairTable)  
      double score​(java.util.List<? extends java.lang.Double> expected, java.util.List<? extends org.api4.java.ai.ml.regression.evaluation.IRegressionPrediction> predicted)  
      double score​(org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable<? extends java.lang.Double,​? extends org.api4.java.ai.ml.regression.evaluation.IRegressionPrediction> pairTable)  
      static ERegressionPerformanceMeasure valueOf​(java.lang.String name)
      Returns the enum constant of this type with the specified name.
      static ERegressionPerformanceMeasure[] values()
      Returns an array containing the constants of this enum type, in the order they are declared.

      • Methods inherited from class java.lang.Enum

        clone, compareTo, equals, finalize, getDeclaringClass, hashCode, name, ordinal, toString, valueOf

      • Methods inherited from class java.lang.Object

        getClass, notify, notifyAll, wait, wait, wait

    • Method Detail

      • values

        public static ERegressionPerformanceMeasure[] values()
        Returns an array containing the constants of this enum type, in the order they are declared. This method may be used to iterate over the constants as follows: 
        for (ERegressionPerformanceMeasure c : ERegressionPerformanceMeasure.values())
    System.out.println(c);
        Returns:
        an array containing the constants of this enum type, in the order they are declared

      • valueOf

        public static ERegressionPerformanceMeasure valueOf​(java.lang.String name)
        Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)
        Parameters:
        name - the name of the enum constant to be returned.
        Returns:
        the enum constant with the specified name
        Throws:
        java.lang.IllegalArgumentException - if this enum type has no constant with the specified name
        java.lang.NullPointerException - if the argument is null

      • loss

        public double loss​(java.util.List<? extends java.lang.Double> expected,
                   java.util.List<? extends org.api4.java.ai.ml.regression.evaluation.IRegressionPrediction> predicted)
        Specified by:
        loss in interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<java.lang.Double,​org.api4.java.ai.ml.regression.evaluation.IRegressionPrediction>

      • score

        public double score​(java.util.List<? extends java.lang.Double> expected,
                    java.util.List<? extends org.api4.java.ai.ml.regression.evaluation.IRegressionPrediction> predicted)
        Specified by:
        score in interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<java.lang.Double,​org.api4.java.ai.ml.regression.evaluation.IRegressionPrediction>

      • loss

        public double loss​(org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable<? extends java.lang.Double,​? extends org.api4.java.ai.ml.regression.evaluation.IRegressionPrediction> pairTable)
        Specified by:
        loss in interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<java.lang.Double,​org.api4.java.ai.ml.regression.evaluation.IRegressionPrediction>

      • score

        public double score​(org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable<? extends java.lang.Double,​? extends org.api4.java.ai.ml.regression.evaluation.IRegressionPrediction> pairTable)
        Specified by:
        score in interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<java.lang.Double,​org.api4.java.ai.ml.regression.evaluation.IRegressionPrediction>