Class/Object

com.netflix.atlas.core.algorithm

OnlineSlidingDes

Related Docs: object OnlineSlidingDes | package algorithm

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case class OnlineSlidingDes(training: Int, alpha: Double, beta: Double, des1: OnlineDes, des2: OnlineDes) extends OnlineAlgorithm with Product with Serializable

Alternate between two DES functions after each training period. This provides a deterministic estimate within a bounded amount of time.

training

Number of samples to record before emitting predicted values.

alpha

Data smoothing factor.

beta

Trend smoothing factor.

Linear Supertypes
Serializable, Serializable, Product, Equals, OnlineAlgorithm, AnyRef, Any
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Inherited
  1. OnlineSlidingDes
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. OnlineAlgorithm
  7. AnyRef
  8. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new OnlineSlidingDes(training: Int, alpha: Double, beta: Double, des1: OnlineDes, des2: OnlineDes)

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    training

    Number of samples to record before emitting predicted values.

    alpha

    Data smoothing factor.

    beta

    Trend smoothing factor.

Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. val alpha: Double

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    Data smoothing factor.

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. val beta: Double

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    Trend smoothing factor.

  7. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @HotSpotIntrinsicCandidate() @throws( ... )

  8. val des1: OnlineDes

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  9. val des2: OnlineDes

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

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    Definition Classes
    AnyRef

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

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    Definition Classes
    AnyRef → Any
    Annotations
    @HotSpotIntrinsicCandidate()

  12. def isEmpty: Boolean

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    Returns true if the state is the same as if it had been reset.

    Returns true if the state is the same as if it had been reset. This means that the state does not need to be stored and can just be recreated if a new values shows up. When processing a stream this is needed to avoid a memory leak for state objects if there are some transient values associated with a group by. This check becomes the effective lifespan for the state if no data is received for a given interval.

    Definition Classes
    OnlineSlidingDes → OnlineAlgorithm

  13. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    AnyRef

  15. def next(v: Double): Double

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    Apply the next value from the input and return the computed value.

    Apply the next value from the input and return the computed value.

    Definition Classes
    OnlineSlidingDes → OnlineAlgorithm

  16. final def notify(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @HotSpotIntrinsicCandidate()

  17. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @HotSpotIntrinsicCandidate()

  18. def reset(): Unit

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    Reset the state of the algorithm.

    Reset the state of the algorithm.

    Definition Classes
    OnlineSlidingDes → OnlineAlgorithm

  19. def state: AlgoState

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    Capture the current state of the algorithm.

    Capture the current state of the algorithm. It can be restored in a new instance with the [OnlineAlgorithm#apply] method.

    Definition Classes
    OnlineSlidingDes → OnlineAlgorithm

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

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    Definition Classes
    AnyRef

  21. val training: Int

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    Number of samples to record before emitting predicted values.

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  24. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

  1. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @Deprecated @deprecated @throws( classOf[java.lang.Throwable] )
    Deprecated

    (Since version ) see corresponding Javadoc for more information.

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from OnlineAlgorithm

Inherited from AnyRef

Inherited from Any

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