AnytimeProbEvidenceSampler

abstract def computedResult: Double

abstract def doSample(): Unit

abstract def resetCounts(): Unit

abstract val universe: Universe

abstract def update(): Unit

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

var active: Boolean

def additionalEvidenceAlgorithm(evidence: List[NamedEvidence[_]]): ProbEvidenceSampler with AnytimeProbEvidenceSampler

The algorithm used to compute the probability of additional evidence, as created by probAdditionalEvidence.

final def asInstanceOf[T0]: T0

val blockSize: Int

Number of samples that should be taken in a single step of the algorithm.

def cleanUp(): Unit

Removes the evidence provided in the constructor from the universe.

def clone(): AnyRef

val customConf: Config

The actor running the algorithm.

val denominator: Double

def doKill(): Unit

def doResume(): Unit

def doStart(): Unit

def doStop(): Unit

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

val evidence: List[NamedEvidence[_]]

def finalize(): Unit

final def getClass(): Class[_]

def handle(service: Service): Response

A handler of services provided by the algorithm.

def hashCode(): Int

def initialize(): Unit

Since probability of evidence algorithms introduce additional evidence (namely, their evidence argument), into an existing universe, a mechanism must be provided for introducing the evidence when the algorithm begins and cleaning it up at the end.

def isActive: Boolean

final def isInstanceOf[T0]: Boolean

def kill(): Unit

Kill the algorithm so that it is inactive.

def logProbEvidence: Double

The computed log probability of evidence.

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def probAdditionalEvidence(evidence: List[NamedEvidence[_]]): ProbEvidenceAlgorithm

Returns an algorithm to compute the probability of the additional evidence provided.

def probEvidence: Double

The computed probability of evidence.

def probabilityOfEvidence(): Double

def resume(): Unit

Resume the computation of the algorithm, if it has been stopped.

def runStep(): Unit

Run a single step of the algorithm.

var runner: ActorRef

var running: Boolean

def shutdown: Unit

Release all resources from this anytime algorithm.

def start(): Unit

Start the algorithm and make it active.

def stop(): Unit

Stop the algorithm from computing.

def stopUpdate(): Unit

Override the stopUpdate function in anytime to call the sampler update function

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

var system: ActorSystem

implicit val timeout: Timeout

Returns the probability of evidence of the universe on which the algorithm operates.

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit