ClassificationMetrics

Declaration

struct ClassificationMetrics<Label> where Label : Hashable

Topics

Creating the distribution

• init(_:_:)
• init()
• init(_:)
• init(_:labels:)
• init(predicted:groundTruth:labels:)

Getting the properties

• accuracy
• exampleCount
• labels
• restrictToKnownLabels

Computing and scoring

• makeConfusionMatrix()
• precisionScore(label:)
• recallScore(label:)
• count(label:)
• count(predicted:)
• count(predicted:label:)
• trueNegativeCount(of:)
• truePositiveCount(of:)
• falseNegativeCount(of:)
• falsePositiveCount(of:)
• f1Score(label:)
• mapLabels(_:)

Updating the metrics

• add(_:)
• add(predicted:groundTruth:)

Relationships

Conforms To

• Sendable
• SendableMetatype

See Also

Metrics

• Classification
• ClassificationDistribution
• MultiLabelClassificationMetrics
• rootMeanSquaredError(_:)
• rootMeanSquaredError(_:_:)
• maximumAbsoluteError(_:)
• maximumAbsoluteError(_:_:)
• meanAbsoluteError(_:)
• meanAbsoluteError(_:_:)
• meanAbsolutePercentageError(_:)
• meanSquaredError(_:)
• meanSquaredError(_:_:)