Class

com.spotify.noether

ClassificationReport

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final case class ClassificationReport(threshold: Double = 0.5, beta: Double = 1.0) extends Aggregator[Prediction[Boolean, Double], Map[(Int, Int), Long], Report] with Product with Serializable

Generate a Classification Report for a collection of binary predictions. The output of this aggregator will be a Report object.

threshold

Threshold to apply to get the predictions.

beta

Beta parameter used in the f-score calculation.

Linear Supertypes
Serializable, Product, Equals, Aggregator[Prediction[Boolean, Double], Map[(Int, Int), Long], Report], Serializable, AnyRef, Any
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  1. ClassificationReport
  2. Serializable
  3. Product
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  5. Aggregator
  6. Serializable
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Visibility
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Instance Constructors

  1. new ClassificationReport(threshold: Double = 0.5, beta: Double = 1.0)

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    threshold

    Threshold to apply to get the predictions.

    beta

    Beta parameter used in the f-score calculation.

Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  4. def andThenPresent[D](present2: (Report) ⇒ D): Aggregator[Prediction[Boolean, Double], Map[(Int, Int), Long], D]

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    Definition Classes
    Aggregator

  5. def append(l: Map[(Int, Int), Long], r: Prediction[Boolean, Double]): Map[(Int, Int), Long]

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    Definition Classes
    Aggregator

  6. def appendAll(old: Map[(Int, Int), Long], items: TraversableOnce[Prediction[Boolean, Double]]): Map[(Int, Int), Long]

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    Definition Classes
    Aggregator

  7. def apply(inputs: TraversableOnce[Prediction[Boolean, Double]]): Report

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    Definition Classes
    Aggregator

  8. def applyCumulatively[In <: TraversableOnce[Prediction[Boolean, Double]], Out](inputs: In)(implicit bf: CanBuildFrom[In, Report, Out]): Out

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    Definition Classes
    Aggregator

  9. def applyOption(inputs: TraversableOnce[Prediction[Boolean, Double]]): Option[Report]

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    Definition Classes
    Aggregator

  10. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  11. val beta: Double

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    Beta parameter used in the f-score calculation.

  12. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  13. def composePrepare[A1](prepare2: (A1) ⇒ Prediction[Boolean, Double]): Aggregator[A1, Map[(Int, Int), Long], Report]

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    Definition Classes
    Aggregator

  14. def cumulativeIterator(inputs: Iterator[Prediction[Boolean, Double]]): Iterator[Report]

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    Definition Classes
    Aggregator

  15. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  16. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  17. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  18. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  19. def join[A2 <: Prediction[Boolean, Double], B2, C2](that: Aggregator[A2, B2, C2]): Aggregator[A2, (Map[(Int, Int), Long], B2), (Report, C2)]

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    Definition Classes
    Aggregator

  20. def lift: MonoidAggregator[Prediction[Boolean, Double], Option[Map[(Int, Int), Long]], Option[Report]]

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    Definition Classes
    Aggregator

  21. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  22. final def notify(): Unit

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    Definition Classes
    AnyRef

  23. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  24. def prepare(input: Prediction[Boolean, Double]): Map[(Int, Int), Long]

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    Definition Classes
    ClassificationReport → Aggregator

  25. def present(m: Map[(Int, Int), Long]): Report

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    Definition Classes
    ClassificationReport → Aggregator

  26. def reduce(items: TraversableOnce[Map[(Int, Int), Long]]): Map[(Int, Int), Long]

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    Definition Classes
    Aggregator

  27. def reduce(l: Map[(Int, Int), Long], r: Map[(Int, Int), Long]): Map[(Int, Int), Long]

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    Definition Classes
    Aggregator

  28. def reduceOption(items: TraversableOnce[Map[(Int, Int), Long]]): Option[Map[(Int, Int), Long]]

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    Definition Classes
    Aggregator

  29. def semigroup: Semigroup[Map[(Int, Int), Long]]

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    Definition Classes
    ClassificationReport → Aggregator

  30. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  31. val threshold: Double

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    Threshold to apply to get the predictions.

  32. def toFold: Fold[Prediction[Boolean, Double], Option[Report]]

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    Definition Classes
    Aggregator

  33. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  34. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
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    Annotations
    @throws( ... )

  35. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  36. def zip[A2, B2, C2](ag2: Aggregator[A2, B2, C2]): Aggregator[(Prediction[Boolean, Double], A2), (Map[(Int, Int), Long], B2), (Report, C2)]

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    Definition Classes
    Aggregator

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Aggregator[Prediction[Boolean, Double], Map[(Int, Int), Long], Report]

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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