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

Enum ERulPerformanceMeasure

java.lang.Object

java.lang.Enum<ERulPerformanceMeasure>

ai.libs.jaicore.ml.regression.loss.ERulPerformanceMeasure

All Implemented Interfaces:

java.io.Serializable, java.lang.Comparable<ERulPerformanceMeasure>, org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<java.lang.Double,org.api4.java.ai.ml.regression.evaluation.IRegressionPrediction>

public enum ERulPerformanceMeasure
extends java.lang.Enum<ERulPerformanceMeasure>
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
ASYMMETRIC_LOSS
ASYMMETRIC_LOSS2
LINEAR_MEAN_SQUARED_ERROR
MEAN_ABSOLUTE_ERROR
MEAN_ABSOLUTE_PERCENTAGE_ERROR
MEAN_ASYMMETRIC_LOSS2
MEAN_PERCENTAGE_ERROR
MEAN_SQUARED_ERROR
MEAN_SQUARED_LOGARITHMIC_MEAN_SQUARED_ERROR
MEAN_SQUARED_PERCENTAGE_ERROR
QUADRATIC_QUADRATIC_ERROR
ROOT_MEAN_SQUARED_ERROR
WEIGHTED_ABSOLUTE_ERROR
WEIGHTED_ASYMMETRIC_ABSOLUTE_ERROR

Method Summary

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 ERulPerformanceMeasure	valueOf(java.lang.String name)	Returns the enum constant of this type with the specified name.
static ERulPerformanceMeasure[]	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

Enum Constant Detail

ASYMMETRIC_LOSS

public static final ERulPerformanceMeasure ASYMMETRIC_LOSS

ASYMMETRIC_LOSS2

public static final ERulPerformanceMeasure ASYMMETRIC_LOSS2

MEAN_ASYMMETRIC_LOSS2

public static final ERulPerformanceMeasure MEAN_ASYMMETRIC_LOSS2

MEAN_PERCENTAGE_ERROR

public static final ERulPerformanceMeasure MEAN_PERCENTAGE_ERROR

MEAN_ABSOLUTE_PERCENTAGE_ERROR

public static final ERulPerformanceMeasure MEAN_ABSOLUTE_PERCENTAGE_ERROR

MEAN_SQUARED_PERCENTAGE_ERROR

public static final ERulPerformanceMeasure MEAN_SQUARED_PERCENTAGE_ERROR

MEAN_ABSOLUTE_ERROR

public static final ERulPerformanceMeasure MEAN_ABSOLUTE_ERROR

ROOT_MEAN_SQUARED_ERROR

public static final ERulPerformanceMeasure ROOT_MEAN_SQUARED_ERROR

MEAN_SQUARED_ERROR

public static final ERulPerformanceMeasure MEAN_SQUARED_ERROR

WEIGHTED_ABSOLUTE_ERROR

public static final ERulPerformanceMeasure WEIGHTED_ABSOLUTE_ERROR

WEIGHTED_ASYMMETRIC_ABSOLUTE_ERROR

public static final ERulPerformanceMeasure WEIGHTED_ASYMMETRIC_ABSOLUTE_ERROR

LINEAR_MEAN_SQUARED_ERROR

public static final ERulPerformanceMeasure LINEAR_MEAN_SQUARED_ERROR

MEAN_SQUARED_LOGARITHMIC_MEAN_SQUARED_ERROR

public static final ERulPerformanceMeasure MEAN_SQUARED_LOGARITHMIC_MEAN_SQUARED_ERROR

QUADRATIC_QUADRATIC_ERROR

public static final ERulPerformanceMeasure QUADRATIC_QUADRATIC_ERROR

Method Detail

values

public static ERulPerformanceMeasure[] 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 (ERulPerformanceMeasure c : ERulPerformanceMeasure.values())
    System.out.println(c);

Returns:

an array containing the constants of this enum type, in the order they are declared

valueOf

public static ERulPerformanceMeasure 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>

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(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>

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>