OneTimeParticleBeliefPropagation

Abstract Value Members

abstract val densityEstimator: DensityEstimator

The density estimator that will estimate the density of a particle.
The density estimator that will estimate the density of a particle. used for resampling.

Definition Classes
ParticleBeliefPropagation
abstract val dependentAlgorithm: (Universe, List[NamedEvidence[_]]) ⇒ () ⇒ Double

The algorithm to compute probability of specified evidence in a dependent universe.
The algorithm to compute probability of specified evidence in a dependent universe. We use () => Double to represent this algorithm instead of an instance of ProbEvidenceAlgorithm. Typical usage is to return the result of ProbEvidenceAlgorithm.computeProbEvidence when invoked.

Definition Classes
ParticleBeliefPropagation → FactoredAlgorithm
abstract val dependentUniverses: List[(Universe, List[NamedEvidence[_]])]

A list of universes that depend on this universe such that evidence on those universes should be taken into account in this universe.
A list of universes that depend on this universe such that evidence on those universes should be taken into account in this universe.

Definition Classes
ParticleBeliefPropagation → FactoredAlgorithm
abstract def getFactors(neededElements: List[Element[_]], targetElements: List[Element[_]], upperBounds: Boolean = false): List[Factor[Double]]

All implementations of factored algorithms must specify a way to get the factors from the given universe and dependent universes.
All implementations of factored algorithms must specify a way to get the factors from the given universe and dependent universes.

Definition Classes
FactoredAlgorithm
abstract val innerIterations: Int

Number of iterations to run BP per step.
Number of iterations to run BP per step.

Definition Classes
OneTimeInnerBPHandler
abstract val outerIterations: Int
abstract val pbpSampler: ParticleGenerator

A particle generator to generate particles and do resampling.
A particle generator to generate particles and do resampling.

Definition Classes
ParticleBeliefPropagation
abstract val semiring: DivideableSemiRing[Double]

Since BP uses division to compute messages, the semiring has to have a division function defined
Since BP uses division to compute messages, the semiring has to have a division function defined

Definition Classes
ParticleBeliefPropagation → FactoredAlgorithm
abstract val targetElements: List[Element[_]]

Target elements that should not be eliminated but should be available for querying.
Target elements that should not be eliminated but should be available for querying.

Definition Classes
ParticleBeliefPropagation
abstract val universe: Universe

The universe on which this belief propagation algorithm should be applied.
The universe on which this belief propagation algorithm should be applied.

Definition Classes
ParticleBeliefPropagation → FactoredAlgorithm

Concrete 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
var active: Boolean

Attributes
protected
Definition Classes
Algorithm
final def asInstanceOf[T0]: T0

Definition Classes
Any
var bp: ProbQueryBeliefPropagation

BP algorithm associated with this time step.
BP algorithm associated with this time step.

Attributes
protected[com.cra.figaro]
Definition Classes
InnerBPHandler
def cleanUp(): Unit

Called when the algorithm is killed.
Called when the algorithm is killed. By default, does nothing. Can be overridden.

Definition Classes
Algorithm
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def createBP(targets: List[Element[_]], dependentUniverses: List[(Universe, List[NamedEvidence[_]])], dependentAlgorithm: (Universe, List[NamedEvidence[_]]) ⇒ () ⇒ Double, depth: Int = Int.MaxValue, upperBounds: Boolean = false): Unit

Instantiates the appropriate BP algorithm for the current time step.
Instantiates the appropriate BP algorithm for the current time step.

Attributes
protected
Definition Classes
OneTimeInnerBPHandler → InnerBPHandler
var currentUniverse: Universe

Universe associated with this algorithm.
Universe associated with this algorithm.

Attributes
protected
Definition Classes
InnerBPHandler
val debug: Boolean

By default, implementations that inherit this trait have no debug information.
By default, implementations that inherit this trait have no debug information. Override this if you want a debugging option.

Definition Classes
ParticleBeliefPropagation
def doKill(): Unit

Attributes
protected[com.cra.figaro.algorithm]
Definition Classes
OneTime → Algorithm
def doResume(): Unit

Attributes
protected[com.cra.figaro.algorithm]
Definition Classes
OneTime → Algorithm
def doStart(): Unit

Attributes
protected[com.cra.figaro.algorithm]
Definition Classes
OneTime → Algorithm
def doStop(): Unit

Attributes
protected[com.cra.figaro.algorithm]
Definition Classes
OneTime → Algorithm
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def finalize(): Unit

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

Definition Classes
AnyRef → Any
def getNeededElements(starterElements: List[Element[_]], depth: Int, parameterized: Boolean = false): (List[Element[_]], Boolean)

Get the elements that are needed by the query target variables and the evidence variables.
Get the elements that are needed by the query target variables and the evidence variables. Also compute the values of those variables to the given depth. Only get factors for elements that are actually used by the target variables. This is more efficient. Also, it avoids problems when values of unused elements have not been computed.
In addition to getting all the needed elements, it determines if any of the conditioned, constrained, or dependent universe parent elements has * in its range. If any of these elements has * in its range, the lower and upper bounds of factors will be different, so we need to compute both. If they don't, we don't need to compute bounds.

Definition Classes
FactoredAlgorithm
def hashCode(): Int

Definition Classes
AnyRef → Any
def initialize(): Unit

Called when the algorithm is started before running any steps.
Called when the algorithm is started before running any steps. By default, does nothing. Can be overridden.

Definition Classes
Algorithm
def isActive: Boolean

Definition Classes
Algorithm
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def kill(): Unit

Kill the algorithm so that it is inactive.
Kill the algorithm so that it is inactive. It will no longer be able to provide answers.Throws AlgorithmInactiveException if the algorithm is not active.

Definition Classes
Algorithm
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def resume(): Unit

Resume the computation of the algorithm, if it has been stopped.
Resume the computation of the algorithm, if it has been stopped. Throws AlgorithmInactiveException if the algorithm is not active.

Definition Classes
Algorithm
def run(): Unit

Run the algorithm, performing its computation to completion.
Run the algorithm, performing its computation to completion.

Definition Classes
OneTimeParticleBeliefPropagation → OneTime
def runBP(): Unit

Runs the BP algorithm at the current time step.
Runs the BP algorithm at the current time step.

Attributes
protected
Definition Classes
OneTimeInnerBPHandler → InnerBPHandler
def runStep(): Unit

Runs this particle belief propagation algorithm for one iteration.
Runs this particle belief propagation algorithm for one iteration. An iteration here is one iteration of the outer loop. This means that the inner BP loop may run several iterations.

Definition Classes
ParticleBeliefPropagation
def start(): Unit

Start the algorithm and make it active.
Start the algorithm and make it active. After it returns, the algorithm must be ready to provide answers. Throws AlgorithmActiveException if the algorithm is already active.

Definition Classes
Algorithm
def starterElements: List[Element[_]]

Elements towards which queries are directed.
Elements towards which queries are directed. By default, these are the target elements.

Definition Classes
ParticleBeliefPropagation
def stop(): Unit

Stop the algorithm from computing.
Stop the algorithm from computing. The algorithm is still ready to provide answers after it returns. Throws AlgorithmInactiveException if the algorithm is not active.

Definition Classes
Algorithm
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
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 particlebp

trait OneTimeParticleBeliefPropagation extends ParticleBeliefPropagation with OneTime with OneTimeInnerBPHandler

Abstract Value Members

abstract val densityEstimator: DensityEstimator

abstract val dependentAlgorithm: (Universe, List[NamedEvidence[_]]) ⇒ () ⇒ Double

abstract val dependentUniverses: List[(Universe, List[NamedEvidence[_]])]

abstract def getFactors(neededElements: List[Element[_]], targetElements: List[Element[_]], upperBounds: Boolean = false): List[Factor[Double]]

abstract val innerIterations: Int

abstract val outerIterations: Int

abstract val pbpSampler: ParticleGenerator

abstract val semiring: DivideableSemiRing[Double]

abstract val targetElements: List[Element[_]]

abstract val universe: Universe

Concrete Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

var active: Boolean

final def asInstanceOf[T0]: T0

var bp: ProbQueryBeliefPropagation

def cleanUp(): Unit

def clone(): AnyRef

def createBP(targets: List[Element[_]], dependentUniverses: List[(Universe, List[NamedEvidence[_]])], dependentAlgorithm: (Universe, List[NamedEvidence[_]]) ⇒ () ⇒ Double, depth: Int = Int.MaxValue, upperBounds: Boolean = false): Unit

var currentUniverse: Universe

val debug: Boolean

def doKill(): Unit

def doResume(): Unit

def doStart(): Unit

def doStop(): Unit

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def getNeededElements(starterElements: List[Element[_]], depth: Int, parameterized: Boolean = false): (List[Element[_]], Boolean)

def hashCode(): Int

def initialize(): Unit

def isActive: Boolean

final def isInstanceOf[T0]: Boolean

def kill(): Unit

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def resume(): Unit

def run(): Unit

def runBP(): Unit

def runStep(): Unit

def start(): Unit

def starterElements: List[Element[_]]

def stop(): Unit

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

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from OneTimeInnerBPHandler

Inherited from OneTime

Inherited from ParticleBeliefPropagation

Inherited from InnerBPHandler

Inherited from FactoredAlgorithm[Double]

Inherited from Algorithm

Inherited from AnyRef

Inherited from Any

Ungrouped