com.cloudera.sparkts.models

ARModel

class ARModel extends TimeSeriesModel

Linear Supertypes
TimeSeriesModel, AnyRef, Any
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  1. ARModel
  2. TimeSeriesModel
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Instance Constructors

  1. new ARModel(c: Double, coef: Double)

  2. new ARModel(c: Double, coefficients: Array[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

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

    Definition Classes
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  6. def addTimeDependentEffects(ts: Vector, destTs: 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.

    returns

    The dest series, for convenience.

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

    Definition Classes
    Any
  8. val c: Double

  9. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  10. val coefficients: Array[Double]

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

    Definition Classes
    AnyRef
  12. def equals(arg0: Any): Boolean

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    AnyRef → Any
  13. def finalize(): Unit

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

    Definition Classes
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  15. def hashCode(): Int

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  16. final def isInstanceOf[T0]: Boolean

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

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

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

    Definition Classes
    AnyRef
  20. def removeTimeDependentEffects(ts: Vector, destTs: 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.

    returns

    The dest series, for convenience.

    Definition Classes
    ARModelTimeSeriesModel
  21. def sample(n: Int, rand: RandomGenerator): Vector

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

    Definition Classes
    AnyRef
  23. def toString(): String

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  24. final def wait(): Unit

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

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

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Inherited from TimeSeriesModel

Inherited from AnyRef

Inherited from Any

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