Class

com.github.jonnylaw.model

PfState

Related Doc: package model

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case class PfState(t: Time, observation: Option[Observation], particles: Vector[State], weights: Vector[LogLikelihood], ll: LogLikelihood) extends Product with Serializable

Representation of the state of the particle filter, at each step the previous observation time, t0, and particle cloud, particles, is required to compute forward. The meanState and intervals are recorded in each step, so they can be outputted immediately without having to calculate these from the particle cloud after

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Instance Constructors

  1. new PfState(t: Time, observation: Option[Observation], particles: Vector[State], weights: Vector[LogLikelihood], ll: LogLikelihood)

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Value Members

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

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  2. final def ##(): Int

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

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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

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  7. def finalize(): Unit

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

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

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  9. final def isInstanceOf[T0]: Boolean

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  10. val ll: LogLikelihood

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

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  12. final def notify(): Unit

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  13. final def notifyAll(): Unit

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  14. val observation: Option[Observation]

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  15. val particles: Vector[State]

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

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  17. val t: Time

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  18. def toString(): String

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    PfState → AnyRef → Any

  19. final def wait(): Unit

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

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

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  22. val weights: Vector[LogLikelihood]

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