case class BinaryConfusionMatrix(threshold: Double = 0.5) extends Aggregator[Prediction[Boolean, Double], Map[(Int, Int), Long], DenseMatrix[Long]] with Product with Serializable
Special Case for a Binary Confusion Matrix to make it easier to compose with other binary aggregators
- threshold
Threshold to apply on predictions
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def
andThenPresent[D](present2: (DenseMatrix[Long]) ⇒ D): Aggregator[Prediction[Boolean, Double], Map[(Int, Int), Long], D]
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def
append(l: Map[(Int, Int), Long], r: Prediction[Boolean, Double]): Map[(Int, Int), Long]
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def
appendAll(old: Map[(Int, Int), Long], items: TraversableOnce[Prediction[Boolean, Double]]): Map[(Int, Int), Long]
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def
apply(inputs: TraversableOnce[Prediction[Boolean, Double]]): DenseMatrix[Long]
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def
applyCumulatively[In <: TraversableOnce[Prediction[Boolean, Double]], Out](inputs: In)(implicit bf: CanBuildFrom[In, DenseMatrix[Long], Out]): Out
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def
applyOption(inputs: TraversableOnce[Prediction[Boolean, Double]]): Option[DenseMatrix[Long]]
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def
composePrepare[A1](prepare2: (A1) ⇒ Prediction[Boolean, Double]): Aggregator[A1, Map[(Int, Int), Long], DenseMatrix[Long]]
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def
cumulativeIterator(inputs: Iterator[Prediction[Boolean, Double]]): Iterator[DenseMatrix[Long]]
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def
join[A2 <: Prediction[Boolean, Double], B2, C2](that: Aggregator[A2, B2, C2]): Aggregator[A2, (Map[(Int, Int), Long], B2), (DenseMatrix[Long], C2)]
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def
lift: MonoidAggregator[Prediction[Boolean, Double], Option[Map[(Int, Int), Long]], Option[DenseMatrix[Long]]]
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def
prepare(input: Prediction[Boolean, Double]): Map[(Int, Int), Long]
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def
present(m: Map[(Int, Int), Long]): DenseMatrix[Long]
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- BinaryConfusionMatrix → Aggregator
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def
reduce(items: TraversableOnce[Map[(Int, Int), Long]]): Map[(Int, Int), Long]
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- Aggregator
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def
reduce(l: Map[(Int, Int), Long], r: Map[(Int, Int), Long]): Map[(Int, Int), Long]
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def
reduceOption(items: TraversableOnce[Map[(Int, Int), Long]]): Option[Map[(Int, Int), Long]]
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def
semigroup: Semigroup[Map[(Int, Int), Long]]
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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- val threshold: Double
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def
toFold: Fold[Prediction[Boolean, Double], Option[DenseMatrix[Long]]]
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wait(arg0: Long): Unit
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def
zip[A2, B2, C2](ag2: Aggregator[A2, B2, C2]): Aggregator[(Prediction[Boolean, Double], A2), (Map[(Int, Int), Long], B2), (DenseMatrix[Long], C2)]
- Definition Classes
- Aggregator