分类指标结果

class ClassificationMetricResults(data: Mapping[MetricKeyType | str, float])

基础类: MetricResults[ClassificationMetricKey]

计算指标的结果。

初始化结果包装器。

属性摘要

metrics

方法总结

from_scores(metrics, scores_and_true_masks)	从给定的真实值和分数集合中返回这些指标的实例。
key_from_string(s)	从（未标准化的）字符串中解析度量键。

属性文档

Parameters:

数据 (映射[MetricKeyType, 浮点数])

metrics: ClassVar[Mapping[str, type[Metric]]] = {'accuracy': <class 'pykeen.metrics.classification.Accuracy'>, 'areaunderthereceiveroperatingcharacteristiccurve': <class 'pykeen.metrics.classification.AreaUnderTheReceiverOperatingCharacteristicCurve'>, 'averageprecisionscore': <class 'pykeen.metrics.classification.AveragePrecisionScore'>, 'balancedaccuracyscore': <class 'pykeen.metrics.classification.BalancedAccuracyScore'>, 'diagnosticoddsratio': <class 'pykeen.metrics.classification.DiagnosticOddsRatio'>, 'f1score': <class 'pykeen.metrics.classification.F1Score'>, 'falsediscoveryrate': <class 'pykeen.metrics.classification.FalseDiscoveryRate'>, 'falsenegativerate': <class 'pykeen.metrics.classification.FalseNegativeRate'>, 'falseomissionrate': <class 'pykeen.metrics.classification.FalseOmissionRate'>, 'falsepositiverate': <class 'pykeen.metrics.classification.FalsePositiveRate'>, 'fowlkesmallowsindex': <class 'pykeen.metrics.classification.FowlkesMallowsIndex'>, 'informedness': <class 'pykeen.metrics.classification.Informedness'>, 'matthewscorrelationcoefficient': <class 'pykeen.metrics.classification.MatthewsCorrelationCoefficient'>, 'negativelikelihoodratio': <class 'pykeen.metrics.classification.NegativeLikelihoodRatio'>, 'negativepredictivevalue': <class 'pykeen.metrics.classification.NegativePredictiveValue'>, 'numscores': <class 'pykeen.metrics.classification.NumScores'>, 'positivelikelihoodratio': <class 'pykeen.metrics.classification.PositiveLikelihoodRatio'>, 'positivepredictivevalue': <class 'pykeen.metrics.classification.PositivePredictiveValue'>, 'prevalencethreshold': <class 'pykeen.metrics.classification.PrevalenceThreshold'>, 'threatscore': <class 'pykeen.metrics.classification.ThreatScore'>, 'truenegativerate': <class 'pykeen.metrics.classification.TrueNegativeRate'>, 'truepositiverate': <class 'pykeen.metrics.classification.TruePositiveRate'>}

方法文档

classmethod from_scores(metrics: Iterable[ClassificationMetric], scores_and_true_masks: Iterable[ScorePack])

从给定的真实值和分数集合中返回这些指标的实例。

Parameters:

• metrics (Iterable[ClassificationMetric])

• scores_and_true_masks (Iterable[ScorePack])

classmethod key_from_string(s: str | None) → ClassificationMetricKey

从（未标准化的）字符串中解析度量键。

Parameters:

s (str | None) – 指标键，或 None 以获取默认键。

Returns:

完全解析的键作为一个命名元组

Return type:

ClassificationMetricKey