Class

com.github.jonnylaw.model

Filter

Related Doc: package model

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case class Filter(mod: Model, resample: Resample[State, Id]) extends ParticleFilter[Id] with Product with Serializable

A particle filter which can represent particle clouds as a Collection, Collection is a typeclass which can currently has concrete methods for Vector and ParVector

Linear Supertypes
Serializable, Serializable, Product, Equals, ParticleFilter[Id], AnyRef, Any
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  1. Filter
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. ParticleFilter
  7. AnyRef
  8. Any
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Visibility
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Instance Constructors

  1. new Filter(mod: Model, resample: Resample[State, Id])

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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. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  6. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  7. def filter(data: Vector[Data])(particles: Int): Id[(LogLikelihood, Vector[StateSpace])]

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    A particle filter to be ran over observed data to return the log-likelihood and a proposed value of the path by sampling from the distribution of the paths

    A particle filter to be ran over observed data to return the log-likelihood and a proposed value of the path by sampling from the distribution of the paths

    data

    the initial time of the data

    particles

    the number of particles to use in the particle approximation to the filtering distribution

    returns

    G[(LogLikelihood, Vector[State])] The log likelihood and a sample from the posterior of the filtering distribution inside of a computational context, G, which can be a Future for async computation or Id for sequential computation

    Definition Classes
    ParticleFilter
  8. def filterStream(t0: Time)(particles: Int): Flow[Data, PfState, NotUsed]

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    Run a filter over a stream of data

    Run a filter over a stream of data

    Definition Classes
    FilterParticleFilter
  9. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  10. def g: Monad[Id]

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

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    Definition Classes
    AnyRef → Any
  12. def initialiseState(particles: Int, t0: Time): PfState

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    Definition Classes
    ParticleFilter
  13. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  14. def llFilter(data: Vector[Data])(n: Int): Id[LogLikelihood]

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    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
  15. val mod: Model

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    Definition Classes
    FilterParticleFilter
  16. final def ne(arg0: AnyRef): Boolean

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

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

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    Definition Classes
    AnyRef
  19. val resample: Resample[State, Id]

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    Definition Classes
    FilterParticleFilter
  20. def stepFilter(s: PfState, y: Data): Id[PfState]

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    Definition Classes
    ParticleFilter
  21. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  22. final def wait(): Unit

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  24. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from ParticleFilter[Id]

Inherited from AnyRef

Inherited from Any

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