c

com.spotify.noether

CalibrationHistogram

final case class CalibrationHistogram(lowerBound: Double = 0.0, upperBound: Double = 1.0, numBuckets: Int = 10) extends Aggregator[Prediction[Double, Double], Map[Double, (Double, Double, Long)], List[CalibrationHistogramBucket]] with Product with Serializable

Split predictions into Tensorflow Model Analysis compatible CalibrationHistogramBucket buckets.

If a prediction is less than the lower bound, it belongs to the bucket [-inf, lower bound) If it is greater than or equal to the upper bound, it belongs to the bucket (upper bound, inf]

lowerBound

Left boundary, inclusive

upperBound

Right boundary, exclusive

numBuckets

Number of buckets in the histogram

Linear Supertypes
Serializable, Product, Equals, Aggregator[Prediction[Double, Double], Map[Double, (Double, Double, Long)], List[CalibrationHistogramBucket]], Serializable, AnyRef, Any
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Inherited
  1. CalibrationHistogram
  2. Serializable
  3. Product
  4. Equals
  5. Aggregator
  6. Serializable
  7. AnyRef
  8. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new CalibrationHistogram(lowerBound: Double = 0.0, upperBound: Double = 1.0, numBuckets: Int = 10)

    lowerBound

    Left boundary, inclusive

    upperBound

    Right boundary, exclusive

    numBuckets

    Number of buckets in the histogram

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def andThenPresent[D](present2: (List[CalibrationHistogramBucket]) ⇒ D): Aggregator[Prediction[Double, Double], Map[Double, (Double, Double, Long)], D]
    Definition Classes
    Aggregator
  5. def append(l: Map[Double, (Double, Double, Long)], r: Prediction[Double, Double]): Map[Double, (Double, Double, Long)]
    Definition Classes
    Aggregator
  6. def appendAll(old: Map[Double, (Double, Double, Long)], items: TraversableOnce[Prediction[Double, Double]]): Map[Double, (Double, Double, Long)]
    Definition Classes
    Aggregator
  7. def apply(inputs: TraversableOnce[Prediction[Double, Double]]): List[CalibrationHistogramBucket]
    Definition Classes
    Aggregator
  8. def applyCumulatively[In <: TraversableOnce[Prediction[Double, Double]], Out](inputs: In)(implicit bf: CanBuildFrom[In, List[CalibrationHistogramBucket], Out]): Out
    Definition Classes
    Aggregator
  9. def applyOption(inputs: TraversableOnce[Prediction[Double, Double]]): Option[List[CalibrationHistogramBucket]]
    Definition Classes
    Aggregator
  10. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  11. val bucketSize: Double
  12. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  13. def composePrepare[A1](prepare2: (A1) ⇒ Prediction[Double, Double]): Aggregator[A1, Map[Double, (Double, Double, Long)], List[CalibrationHistogramBucket]]
    Definition Classes
    Aggregator
  14. def cumulativeIterator(inputs: Iterator[Prediction[Double, Double]]): Iterator[List[CalibrationHistogramBucket]]
    Definition Classes
    Aggregator
  15. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  16. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  17. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  18. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  19. def join[A2 <: Prediction[Double, Double], B2, C2](that: Aggregator[A2, B2, C2]): Aggregator[A2, (Map[Double, (Double, Double, Long)], B2), (List[CalibrationHistogramBucket], C2)]
    Definition Classes
    Aggregator
  20. def lift: MonoidAggregator[Prediction[Double, Double], Option[Map[Double, (Double, Double, Long)]], Option[List[CalibrationHistogramBucket]]]
    Definition Classes
    Aggregator
  21. val lowerBound: Double
  22. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  23. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  24. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  25. val numBuckets: Int
  26. def prepare(input: Prediction[Double, Double]): Map[Double, (Double, Double, Long)]
    Definition Classes
    CalibrationHistogram → Aggregator
  27. def present(m: Map[Double, (Double, Double, Long)]): List[CalibrationHistogramBucket]
    Definition Classes
    CalibrationHistogram → Aggregator
  28. def reduce(items: TraversableOnce[Map[Double, (Double, Double, Long)]]): Map[Double, (Double, Double, Long)]
    Definition Classes
    Aggregator
  29. def reduce(l: Map[Double, (Double, Double, Long)], r: Map[Double, (Double, Double, Long)]): Map[Double, (Double, Double, Long)]
    Definition Classes
    Aggregator
  30. def reduceOption(items: TraversableOnce[Map[Double, (Double, Double, Long)]]): Option[Map[Double, (Double, Double, Long)]]
    Definition Classes
    Aggregator
  31. def semigroup: Semigroup[Map[Double, (Double, Double, Long)]]
    Definition Classes
    CalibrationHistogram → Aggregator
  32. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  33. def toFold: Fold[Prediction[Double, Double], Option[List[CalibrationHistogramBucket]]]
    Definition Classes
    Aggregator
  34. val upperBound: Double
  35. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  36. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  37. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  38. def zip[A2, B2, C2](ag2: Aggregator[A2, B2, C2]): Aggregator[(Prediction[Double, Double], A2), (Map[Double, (Double, Double, Long)], B2), (List[CalibrationHistogramBucket], C2)]
    Definition Classes
    Aggregator

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Aggregator[Prediction[Double, Double], Map[Double, (Double, Double, Long)], List[CalibrationHistogramBucket]]

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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