c

com.datasolvr.services.spark.functions

NumericSeriesStatistics

case class NumericSeriesStatistics(size: Int, xMean: Double, xSquaredMeanDiff: Double) extends Product with Serializable

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Serializable, Serializable, Product, Equals, AnyRef, Any
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  1. NumericSeriesStatistics
  2. Serializable
  3. Serializable
  4. Product
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Instance Constructors

  1. new NumericSeriesStatistics(size: Int, xMean: Double, xSquaredMeanDiff: Double)

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. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[lang]
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    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  6. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  7. final def getClass(): Class[_]
    Definition Classes
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    @native() @HotSpotIntrinsicCandidate()
  8. final def isInstanceOf[T0]: Boolean
    Definition Classes
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  9. def likelihood(points: List[Point], slope: Double, intercept: Double, sigmaResiduals: Double): Double

    The likelihood of new observations is inspired by the form used in least squares linear regression This is not a mathematical correct estimate for the Theil-Sen estimator, but its properties are plausible

  10. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  11. final def notify(): Unit
    Definition Classes
    AnyRef
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    @native() @HotSpotIntrinsicCandidate()
  12. final def notifyAll(): Unit
    Definition Classes
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    @native() @HotSpotIntrinsicCandidate()
  13. val size: Int
  14. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  15. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
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    @throws( ... )
  16. final def wait(arg0: Long): Unit
    Definition Classes
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    @throws( ... ) @native()
  17. final def wait(): Unit
    Definition Classes
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    @throws( ... )
  18. val xMean: Double
  19. val xSquaredMeanDiff: Double

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
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    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

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