Class

org.apache.spark.sql.catalyst.util.QuantileSummaries

Stats

Related Doc: package QuantileSummaries

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case class Stats(value: Double, g: Int, delta: Int) extends Product with Serializable

Statistics from the Greenwald-Khanna paper.

value

the sampled value

g

the minimum rank jump from the previous value's minimum rank

delta

the maximum span of the rank.

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Serializable, Serializable, Product, Equals, AnyRef, Any
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Instance Constructors

  1. new Stats(value: Double, g: Int, delta: Int)

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    value

    the sampled value

    g

    the minimum rank jump from the previous value's minimum rank

    delta

    the maximum span of the rank.

Value Members

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

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    AnyRef → Any

  2. final def ##(): Int

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    AnyRef → Any

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

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    @throws( ... )

  6. val delta: Int

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    the maximum span of the rank.

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

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    AnyRef

  8. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

  9. val g: Int

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    the minimum rank jump from the previous value's minimum rank

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

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  11. final def isInstanceOf[T0]: Boolean

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

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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

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  16. val value: Double

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    the sampled value

  17. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

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Inherited from Serializable

Inherited from Serializable

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