Class

com.github.jonnylaw.model

FilterLgcp

Related Doc: package model

Permalink

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

Linear Supertypes
Serializable, Serializable, Product, Equals, ParticleFilter[Id], AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. FilterLgcp
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. ParticleFilter
  7. AnyRef
  8. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new FilterLgcp(mod: Model, resample: Resample[State, Id], precision: Int)

    Permalink

Value Members

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

    Permalink
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

    Permalink
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any
  5. def calcWeight(x: State, dt: TimeIncrement, t: Time): (State, Double, Double)

    Permalink
  6. def clone(): AnyRef

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

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

    Permalink

    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
  9. def filterStream(t0: Time)(particles: Int): Flow[Data, PfState, NotUsed]

    Permalink

    Run a filter over a stream of data

    Run a filter over a stream of data

    Definition Classes
    FilterLgcpParticleFilter
  10. def finalize(): Unit

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

    Permalink
    Definition Classes
    FilterLgcpParticleFilter
  12. final def getClass(): Class[_]

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

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

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

    Permalink

    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
  16. val mod: Model

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

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

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

    Permalink
    Definition Classes
    AnyRef
  20. val precision: Int

    Permalink
  21. val resample: Resample[State, Id]

    Permalink
    Definition Classes
    FilterLgcpParticleFilter
  22. def stepFilter(s: PfState, y: Data): Id[PfState]

    Permalink
    Definition Classes
    FilterLgcpParticleFilter
  23. final def synchronized[T0](arg0: ⇒ T0): T0

    Permalink
    Definition Classes
    AnyRef
  24. final def wait(): Unit

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

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

    Permalink
    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

Ungrouped