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

Enum EAggregatedClassifierMetric

java.lang.Object

java.lang.Enum<EAggregatedClassifierMetric>

ai.libs.jaicore.ml.classification.loss.dataset.EAggregatedClassifierMetric

All Implemented Interfaces:

java.io.Serializable, java.lang.Comparable<EAggregatedClassifierMetric>, org.api4.java.ai.ml.core.evaluation.execution.IAggregatedPredictionPerformanceMeasure<java.lang.Integer,org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification>

public enum EAggregatedClassifierMetric
extends java.lang.Enum<EAggregatedClassifierMetric>
implements org.api4.java.ai.ml.core.evaluation.execution.IAggregatedPredictionPerformanceMeasure<java.lang.Integer,org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification>

Enum Constant Summary

Enum Constants

Enum Constant	Description
MEAN_ERRORRATE

Method Summary

Modifier and Type	Method	Description
org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<java.lang.Integer,org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification>	getBaseMeasure()
double	loss(java.util.List<java.util.List<? extends java.lang.Integer>> expected, java.util.List<java.util.List<? extends org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification>> predicted)
double	loss(java.util.List<org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable<? extends java.lang.Integer,? extends org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification>> pairTables)
double	score(java.util.List<java.util.List<? extends java.lang.Integer>> expected, java.util.List<java.util.List<? extends org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification>> predicted)
double	score(java.util.List<org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable<? extends java.lang.Integer,? extends org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification>> pairTables)
static EAggregatedClassifierMetric	valueOf(java.lang.String name)	Returns the enum constant of this type with the specified name.
static EAggregatedClassifierMetric[]	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

MEAN_ERRORRATE

public static final EAggregatedClassifierMetric MEAN_ERRORRATE

Method Detail

values

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

Returns:

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

valueOf

public static EAggregatedClassifierMetric 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<java.util.List<? extends java.lang.Integer>> expected,
                   java.util.List<java.util.List<? extends org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification>> predicted)

Specified by:

loss in interface org.api4.java.ai.ml.core.evaluation.execution.IAggregatedPredictionPerformanceMeasure<java.lang.Integer,org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification>

loss

public double loss(java.util.List<org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable<? extends java.lang.Integer,? extends org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification>> pairTables)

Specified by:

loss in interface org.api4.java.ai.ml.core.evaluation.execution.IAggregatedPredictionPerformanceMeasure<java.lang.Integer,org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification>

score

public double score(java.util.List<java.util.List<? extends java.lang.Integer>> expected,
                    java.util.List<java.util.List<? extends org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification>> predicted)

Specified by:

score in interface org.api4.java.ai.ml.core.evaluation.execution.IAggregatedPredictionPerformanceMeasure<java.lang.Integer,org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification>

score

public double score(java.util.List<org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable<? extends java.lang.Integer,? extends org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification>> pairTables)

Specified by:

score in interface org.api4.java.ai.ml.core.evaluation.execution.IAggregatedPredictionPerformanceMeasure<java.lang.Integer,org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification>

getBaseMeasure

public org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<java.lang.Integer,org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification> getBaseMeasure()

Specified by:

getBaseMeasure in interface org.api4.java.ai.ml.core.evaluation.execution.IAggregatedPredictionPerformanceMeasure<java.lang.Integer,org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification>