FilterParallel

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. def accFilter(data: List[Data], t0: Time)(particles: Int): List[PfState[ParVector]]

   

   Run a filter over a vector of data and return a vector of PfState Containing the raw particles and associated weights at each time step

   Run a filter over a vector of data and return a vector of PfState Containing the raw particles and associated weights at each time step

   Definition Classes

   ParticleFilter

5. def advanceState(states: ParVector[State], dt: TimeIncrement, t: Time): ParVector[(State, Gamma)]

   

   Definition Classes

   ParticleFilter

6. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

7. def calculateWeights: (Gamma, Observation) ⇒ LogLikelihood

   

   Definition Classes

   ParticleFilter

8. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

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

   

   Definition Classes

   AnyRef

10. val f: Collection[ParVector]

    

    Definition Classes

    FilterParallel → ParticleFilter

11. def filter(t0: Time)(particles: Int): Pipe[Task, Data, PfState[ParVector]]

    

    Run a filter over a stream of data

    Run a filter over a stream of data

    Definition Classes

    ParticleFilter

12. def filterWithIntervals(data: List[Data], t0: Time)(particles: Int): List[PfOut]

    

    Filter the data, but get a vector containing the mean gamma, gamma intervals, mean state, and credible intervals of the state

    Filter the data, but get a vector containing the mean gamma, gamma intervals, mean state, and credible intervals of the state

    Definition Classes

    ParticleFilter

13. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    

    Definition Classes

    AnyRef → Any

15. def initialiseState(particles: Int, t0: Time): PfState[ParVector]

    

    Definition Classes

    FilterParallel → ParticleFilter

16. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

17. def llFilter(t0: Time, n: Int)(data: List[Data]): LogLikelihood

    

    Filter a collection of data and return an estimate of the loglikelihood

    Filter a collection of data and return an estimate of the loglikelihood

    Definition Classes

    ParticleFilter

18. val mod: Model

    

    the model to use for filtering

    the model to use for filtering

    Definition Classes

    FilterParallel → ParticleFilter

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

    

    Definition Classes

    AnyRef

20. final def notify(): Unit

    

    Definition Classes

    AnyRef

21. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

22. val parallelism: Int

    

    the level of parallism

23. val resample: Resample[ParVector, State]

    

    the resampling scheme

    the resampling scheme

    Definition Classes

    FilterParallel → ParticleFilter

24. def stepFilter(s: PfState[ParVector], y: Data): PfState[ParVector]

    

    Definition Classes

    ParticleFilter

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

    

    Definition Classes

    AnyRef

26. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )