Enum ERegressionPerformanceMeasure
- java.lang.Object
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- java.lang.Enum<ERegressionPerformanceMeasure>
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- ai.libs.jaicore.ml.regression.loss.ERegressionPerformanceMeasure
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- All Implemented Interfaces:
java.io.Serializable,java.lang.Comparable<ERegressionPerformanceMeasure>,org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicHomogeneousPredictionPerformanceMeasure<java.lang.Double>,org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<java.lang.Double,java.lang.Double>
public enum ERegressionPerformanceMeasure extends java.lang.Enum<ERegressionPerformanceMeasure> implements org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicHomogeneousPredictionPerformanceMeasure<java.lang.Double>
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Enum Constant Summary
Enum Constants Enum Constant Description MEAN_SQUARED_ERRORROOT_MEAN_SQUARED_ERROR
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description doubleloss(java.util.List<? extends java.lang.Double> actual, java.util.List<? extends java.lang.Double> expected)doubleloss(org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable<? extends java.lang.Double,? extends java.lang.Double> pairTable)doublescore(java.util.List<? extends java.lang.Double> expected, java.util.List<? extends java.lang.Double> actual)doublescore(org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable<? extends java.lang.Double,? extends java.lang.Double> pairTable)static ERegressionPerformanceMeasurevalueOf(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.
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Enum Constant Detail
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MEAN_SQUARED_ERROR
public static final ERegressionPerformanceMeasure MEAN_SQUARED_ERROR
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ROOT_MEAN_SQUARED_ERROR
public static final ERegressionPerformanceMeasure ROOT_MEAN_SQUARED_ERROR
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Method Detail
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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
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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 namejava.lang.NullPointerException- if the argument is null
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loss
public double loss(java.util.List<? extends java.lang.Double> actual, java.util.List<? extends java.lang.Double> expected)- Specified by:
lossin interfaceorg.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<java.lang.Double,java.lang.Double>
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loss
public double loss(org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable<? extends java.lang.Double,? extends java.lang.Double> pairTable)
- Specified by:
lossin interfaceorg.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<java.lang.Double,java.lang.Double>
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score
public double score(java.util.List<? extends java.lang.Double> expected, java.util.List<? extends java.lang.Double> actual)- Specified by:
scorein interfaceorg.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<java.lang.Double,java.lang.Double>
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score
public double score(org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable<? extends java.lang.Double,? extends java.lang.Double> pairTable)
- Specified by:
scorein interfaceorg.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<java.lang.Double,java.lang.Double>
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