PfState

Representation of the state of the particle filter, where the particles are in a Collection typeclass defined in package.scala

t: the time of the current observation
observation: the current observation at time t
particles: a collection containing an approximate sample from the filtering distribution p(x(t) | y(t0:t))
ll: the estimated log-likelihood of the path given the observations so far
ess: the effective sample size

Linear Supertypes

Serializable, Serializable, Product, Equals, AnyRef, Any

Instance Constructors

new PfState(t: Time, observation: Option[Observation], particles: F[State], ll: LogLikelihood, ess: Int)

t
the time of the current observation
observation
the current observation at time t
particles
a collection containing an approximate sample from the filtering distribution p(x(t) | y(t0:t))
ll
the estimated log-likelihood of the path given the observations so far
ess
the effective sample size

Value Members

final def !=(arg0: Any): Boolean

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

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

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

Definition Classes
Any
def clone(): AnyRef

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

Definition Classes
AnyRef
val ess: Int

the effective sample size
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
val ll: LogLikelihood

the estimated log-likelihood of the path given the observations so far
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val observation: Option[Observation]

the current observation at time t
val particles: F[State]

a collection containing an approximate sample from the filtering distribution p(x(t) | y(t0:t))
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
val t: Time

the time of the current observation
final def wait(): Unit

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

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

Definition Classes
AnyRef
Annotations
@throws( ... )

Related Doc: package model

case class PfState[F[_]](t: Time, observation: Option[Observation], particles: F[State], ll: LogLikelihood, ess: Int) extends Product with Serializable

Instance Constructors

new PfState(t: Time, observation: Option[Observation], particles: F[State], ll: LogLikelihood, ess: Int)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

val ess: Int

def finalize(): Unit

final def getClass(): Class[_]

final def isInstanceOf[T0]: Boolean

val ll: LogLikelihood

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val observation: Option[Observation]

val particles: F[State]

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

val t: Time

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

Ungrouped