Package org.tribuo.multilabel.evaluation
Enum Class MultiLabelMetrics
- All Implemented Interfaces:
Serializable
,Comparable<MultiLabelMetrics>
,Constable
An enum of the default
MultiLabelMetric
s supported by the multi-label classification
evaluation package.-
Nested Class Summary
Nested classes/interfaces inherited from class java.lang.Enum
Enum.EnumDesc<E extends Enum<E>>
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Enum Constant Summary
Enum ConstantDescriptionThe balanced error rate, i.e., the mean of the per class recalls.The F_1 score, i.e., the harmonic mean of the precision and the recall.The number of false negatives.The number of false positives.The Jaccard score, i.e., the average across the predictions of the intersection over union.The precision, i.e., the number of true positives divided by the number of predicted positives.The recall, i.e., the number of true positives divided by the number of ground truth positives.The number of true negatives.The number of true positives. -
Method Summary
Modifier and TypeMethodDescriptionforTarget
(MetricTarget<MultiLabel> tgt) Get the metric for the supplied target.BiFunction<MetricTarget<MultiLabel>,
org.tribuo.multilabel.evaluation.MultiLabelMetric.Context, Double> getImpl()
Get the implementation function for this metric.static double
jaccardScore
(List<Prediction<MultiLabel>> predictions) The average Jaccard score across the predictions.static MultiLabelMetrics
Returns the enum constant of this class with the specified name.static MultiLabelMetrics[]
values()
Returns an array containing the constants of this enum class, in the order they are declared.
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Enum Constant Details
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TP
The number of true positives. -
FP
The number of false positives. -
TN
The number of true negatives. -
FN
The number of false negatives. -
PRECISION
The precision, i.e., the number of true positives divided by the number of predicted positives. -
RECALL
The recall, i.e., the number of true positives divided by the number of ground truth positives. -
F1
The F_1 score, i.e., the harmonic mean of the precision and the recall. -
BALANCED_ERROR_RATE
The balanced error rate, i.e., the mean of the per class recalls. -
JACCARD_SCORE
The Jaccard score, i.e., the average across the predictions of the intersection over union.
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Method Details
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values
Returns an array containing the constants of this enum class, in the order they are declared.- Returns:
- an array containing the constants of this enum class, in the order they are declared
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valueOf
Returns the enum constant of this class with the specified name. The string must match exactly an identifier used to declare an enum constant in this class. (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:
IllegalArgumentException
- if this enum class has no constant with the specified nameNullPointerException
- if the argument is null
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getImpl
public BiFunction<MetricTarget<MultiLabel>,org.tribuo.multilabel.evaluation.MultiLabelMetric.Context, getImpl()Double> Get the implementation function for this metric.- Returns:
- The function.
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forTarget
Get the metric for the supplied target.- Parameters:
tgt
- The metric target.- Returns:
- The metric.
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jaccardScore
The average Jaccard score across the predictions.- Parameters:
predictions
- The predictions to use.- Returns:
- The average Jaccard score.
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