Class

com.spotify.noether

ConfusionMatrix

Related Doc: package noether

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final case class ConfusionMatrix(labels: Seq[Int]) extends Aggregator[Prediction[Int, Int], Map[(Int, Int), Long], DenseMatrix[Long]] with Product with Serializable

Generic Consfusion Matrix Aggregator for any dimension. Thresholds must be applied to make a prediction prior to using this aggregator.

labels

List of possible label values

Linear Supertypes
Serializable, Product, Equals, Aggregator[Prediction[Int, Int], Map[(Int, Int), Long], DenseMatrix[Long]], Serializable, AnyRef, Any
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Inherited
  1. ConfusionMatrix
  2. Serializable
  3. Product
  4. Equals
  5. Aggregator
  6. Serializable
  7. AnyRef
  8. Any
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Visibility
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Instance Constructors

  1. new ConfusionMatrix(labels: Seq[Int])

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    labels

    List of possible label values

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: (DenseMatrix[Long]) ⇒ D): Aggregator[Prediction[Int, Int], Map[(Int, Int), Long], D]

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    Definition Classes
    Aggregator

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

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    Definition Classes
    Aggregator

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

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    Definition Classes
    Aggregator

  7. def apply(inputs: TraversableOnce[Prediction[Int, Int]]): DenseMatrix[Long]

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    Definition Classes
    Aggregator

  8. def applyCumulatively[In <: TraversableOnce[Prediction[Int, Int]], Out](inputs: In)(implicit bf: CanBuildFrom[In, DenseMatrix[Long], Out]): Out

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    Definition Classes
    Aggregator

  9. def applyOption(inputs: TraversableOnce[Prediction[Int, Int]]): Option[DenseMatrix[Long]]

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    Definition Classes
    Aggregator

  10. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  11. def clone(): AnyRef

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

  12. def composePrepare[A1](prepare2: (A1) ⇒ Prediction[Int, Int]): Aggregator[A1, Map[(Int, Int), Long], DenseMatrix[Long]]

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    Definition Classes
    Aggregator

  13. def cumulativeIterator(inputs: Iterator[Prediction[Int, Int]]): Iterator[DenseMatrix[Long]]

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    Definition Classes
    Aggregator

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

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    Definition Classes
    AnyRef

  15. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  17. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  18. def join[A2 <: Prediction[Int, Int], B2, C2](that: Aggregator[A2, B2, C2]): Aggregator[A2, (Map[(Int, Int), Long], B2), (DenseMatrix[Long], C2)]

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    Definition Classes
    Aggregator

  19. val labels: Seq[Int]

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    List of possible label values

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

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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[Int, Int]): Map[(Int, Int), Long]

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    Definition Classes
    ConfusionMatrix → Aggregator

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

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    Definition Classes
    ConfusionMatrix → 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
    ConfusionMatrix → Aggregator

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

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    Definition Classes
    AnyRef

  31. def toFold: Fold[Prediction[Int, Int], Option[DenseMatrix[Long]]]

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    Definition Classes
    Aggregator

  32. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  35. def zip[A2, B2, C2](ag2: Aggregator[A2, B2, C2]): Aggregator[(Prediction[Int, Int], A2), (Map[(Int, Int), Long], B2), (DenseMatrix[Long], C2)]

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    Definition Classes
    Aggregator

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Aggregator[Prediction[Int, Int], Map[(Int, Int), Long], DenseMatrix[Long]]

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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