com.cloudera.sparkts.models

EWMAModel

class EWMAModel extends TimeSeriesModel

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TimeSeriesModel, AnyRef, Any
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  1. EWMAModel
  2. TimeSeriesModel
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Instance Constructors

  1. new EWMAModel(smoothing: Double)

Value Members

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

    Definition Classes
    AnyRef
  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any
  3. final def ##(): Int

    Definition Classes
    AnyRef → Any
  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  6. def addTimeDependentEffects(ts: Vector, dest: Vector): Vector

    Takes a series of i.

    Takes a series of i.i.d. observations and returns a time series based on it with the time-dependent effects of this model added.

    ts

    Time series of i.i.d. observations.

    dest

    Array to put the filtered series, can be the same as ts.

    returns

    The dest series, for convenience.

    Definition Classes
    EWMAModelTimeSeriesModel
  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  8. def clone(): AnyRef

    Attributes
    protected[java.lang]
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    @throws( ... )
  9. final def eq(arg0: AnyRef): Boolean

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  12. final def getClass(): Class[_]

    Definition Classes
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  13. def hashCode(): Int

    Definition Classes
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  14. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  15. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  16. final def notify(): Unit

    Definition Classes
    AnyRef
  17. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  18. def removeTimeDependentEffects(ts: Vector, dest: Vector = null): Vector

    Takes a time series that is assumed to have this model's characteristics and returns a time series with time-dependent effects of this model removed.

    Takes a time series that is assumed to have this model's characteristics and returns a time series with time-dependent effects of this model removed.

    This is the inverse of TimeSeriesModel#addTimeDependentEffects.

    ts

    Time series of observations with this model's characteristics.

    dest

    Array to put the filtered series, can be the same as ts.

    returns

    The dest series, for convenience.

    Definition Classes
    EWMAModelTimeSeriesModel
  19. val smoothing: Double

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

    Definition Classes
    AnyRef
  21. def toString(): String

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  22. final def wait(): Unit

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    @throws( ... )
  23. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  24. final def wait(arg0: Long): Unit

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Inherited from TimeSeriesModel

Inherited from AnyRef

Inherited from Any

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