AnytimeProbQuerySampler

Type Members

case class ComputeDistribution[T](target: Element[T]) extends Service with Product with Serializable

A message instructing the handler to compute the distribution of the target element.
case class ComputeExpectation[T](target: Element[T], function: (T) ⇒ Double) extends Service with Product with Serializable

A message instructing the handler to compute the expectation of the target element under the given function
case class ComputeProbability[T](target: Element[T], predicate: (T) ⇒ Boolean) extends Service with Product with Serializable

A message instructing the handler to compute the probability of the predicate for the target element.
case class Distribution[T](distribution: Stream[(Double, T)]) extends Response with Product with Serializable

A message from the handler containing the distribution of the previously requested element.
case class Expectation(expectation: Double) extends Response with Product with Serializable

A message from the handler containing the expected value of the previously requested element and function.
case class Probability(probability: Double) extends Response with Product with Serializable

A message from the handler containing the probability of the previously requested predicate and element.
class Runner extends Actor

A class representing the actor running the algorithm.

Abstract Value Members

abstract def computeDistribution[T](target: Element[T]): Stream[(Double, T)]

Return an estimate of the marginal probability distribution over the target that lists each element with its probability.
Return an estimate of the marginal probability distribution over the target that lists each element with its probability. The result is a lazy stream. It is up to the algorithm how the stream is ordered.

Definition Classes
ProbQueryAlgorithm
abstract def computeExpectation[T](target: Element[T], function: (T) ⇒ Double): Double

Return an estimate of the expectation of the function under the marginal probability distribution of the target.
Return an estimate of the expectation of the function under the marginal probability distribution of the target.

Definition Classes
ProbQueryAlgorithm
abstract def doSample(): Unit

Attributes
protected
Definition Classes
Sampler
abstract val queryTargets: Seq[Element[_]]

Definition Classes
ProbQueryAlgorithm
abstract def resetCounts(): Unit

Attributes
protected
Definition Classes
Sampler
abstract val universe: Universe

Definition Classes
ProbQueryAlgorithm
abstract def update(): Unit

Attributes
protected
Definition Classes
Sampler

Concrete Value Members

final def !=(arg0: AnyRef): Boolean

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

Definition Classes
Any
final def ##(): Int

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

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

Definition Classes
Any
var active: Boolean

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

Definition Classes
Any
val blockSize: Int

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

Definition Classes
AnytimeSampler
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 computeProbability[T](target: Element[T], predicate: (T) ⇒ Boolean): Double

Return an estimate of the probability of the predicate under the marginal probability distribution of the target.
Return an estimate of the probability of the predicate under the marginal probability distribution of the target.

Definition Classes
ProbQueryAlgorithm
val customConf: Config

The actor running the algorithm.
The actor running the algorithm.

Definition Classes
Anytime
def distribution[T](target: Element[T]): Stream[(Double, T)]

Return an estimate of the marginal probability distribution over the target that lists each element with its probability.
Return an estimate of the marginal probability distribution over the target that lists each element with its probability. The result is a lazy stream. It is up to the algorithm how the stream is ordered. Throws NotATargetException if called on a target that is not in the list of targets of the algorithm. Throws AlgorithmInactiveException if the algorithm is inactive.

Definition Classes
ProbQueryAlgorithm
def doDistribution[T](target: Element[T]): Stream[(Double, T)]

Attributes
protected
Definition Classes
AnytimeProbQuery → ProbQueryAlgorithm
def doExpectation[T](target: Element[T], function: (T) ⇒ Double): Double

Attributes
protected
Definition Classes
AnytimeProbQuery → ProbQueryAlgorithm
def doKill(): Unit

Attributes
protected
Definition Classes
Anytime → Algorithm
def doProbability[T](target: Element[T], predicate: (T) ⇒ Boolean): Double

Attributes
protected
Definition Classes
AnytimeProbQuery → ProbQueryAlgorithm
def doResume(): Unit

Attributes
protected
Definition Classes
Anytime → Algorithm
def doStart(): Unit

Attributes
protected
Definition Classes
Anytime → Algorithm
def doStop(): Unit

Attributes
protected
Definition Classes
Anytime → Algorithm
final def eq(arg0: AnyRef): Boolean

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

Definition Classes
AnyRef → Any
def expectation[T](target: Element[T], function: (T) ⇒ Double): Double

Return an estimate of the expectation of the function under the marginal probability distribution of the target.
Return an estimate of the expectation of the function under the marginal probability distribution of the target. Throws NotATargetException if called on a target that is not in the list of targets of the algorithm. Throws AlgorithmInactiveException if the algorithm is inactive.

Definition Classes
ProbQueryAlgorithm
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 handle(service: Service): Response

A handler of services provided by the algorithm.
A handler of services provided by the algorithm.

Definition Classes
AnytimeProbQuery → Anytime
def hashCode(): Int

Definition Classes
AnyRef → Any
def initialize(): Unit

Called when the algorithm starts before running any steps.
Called when the algorithm starts before running any steps.

Definition Classes
AnytimeSampler → 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
def mean(target: Element[Double]): Double

Return the mean of the probability density function for the given continuous element
Return the mean of the probability density function for the given continuous element

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

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def posteriorElement[T](target: Element[T], universe: Universe = Universe.universe): Element[T]

Return an element representing the posterior probability distribution of the given element
Return an element representing the posterior probability distribution of the given element

Definition Classes
ProbQueryAlgorithm
def probability[T](target: Element[T], value: T): Double

Return an estimate of the probability that the target produces the value.
Return an estimate of the probability that the target produces the value. Throws NotATargetException if called on a target that is not in the list of targets of the algorithm. Throws AlgorithmInactiveException if the algorithm is inactive.

Definition Classes
ProbQueryAlgorithm
def probability[T](target: Element[T], predicate: (T) ⇒ Boolean): Double

Return an estimate of the probability of the predicate under the marginal probability distribution of the target.
Return an estimate of the probability of the predicate under the marginal probability distribution of the target. Throws NotATargetException if called on a target that is not in the list of targets of the algorithm. Throws AlgorithmInactiveException if the algorithm is inactive.

Definition Classes
ProbQueryAlgorithm
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 runStep(): Unit

Run a single step of the algorithm.
Run a single step of the algorithm. The algorithm must be able to provide answers after each step.

Definition Classes
AnytimeSampler → Anytime
var runner: ActorRef

Definition Classes
Anytime
var running: Boolean

Definition Classes
Anytime
def shutdown: Unit

Definition Classes
Anytime
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 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
def stopUpdate(): Unit

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

Definition Classes
AnytimeSampler → Anytime
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
var system: ActorSystem

Definition Classes
Anytime
implicit val timeout: Timeout

Definition Classes
AnytimeProbQuery
def toString(): String

Definition Classes
AnyRef → Any
def variance(target: Element[Double]): Double

Return the variance of the probability density function for the given continuous element
Return the variance of the probability density function for the given continuous element

Definition Classes
ProbQueryAlgorithm
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( ... )

trait AnytimeProbQuerySampler extends AnytimeProbQuery with AnytimeSampler

Type Members

case class ComputeDistribution[T](target: Element[T]) extends Service with Product with Serializable

case class ComputeExpectation[T](target: Element[T], function: (T) ⇒ Double) extends Service with Product with Serializable

case class ComputeProbability[T](target: Element[T], predicate: (T) ⇒ Boolean) extends Service with Product with Serializable

case class Distribution[T](distribution: Stream[(Double, T)]) extends Response with Product with Serializable

case class Expectation(expectation: Double) extends Response with Product with Serializable

case class Probability(probability: Double) extends Response with Product with Serializable

class Runner extends Actor

Abstract Value Members

abstract def computeDistribution[T](target: Element[T]): Stream[(Double, T)]

abstract def computeExpectation[T](target: Element[T], function: (T) ⇒ Double): Double

abstract def doSample(): Unit

abstract val queryTargets: Seq[Element[_]]

abstract def resetCounts(): Unit

abstract val universe: Universe

abstract def update(): Unit

Concrete Value Members

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

var active: Boolean

final def asInstanceOf[T0]: T0

val blockSize: Int

def cleanUp(): Unit

def clone(): AnyRef

def computeProbability[T](target: Element[T], predicate: (T) ⇒ Boolean): Double

val customConf: Config

def distribution[T](target: Element[T]): Stream[(Double, T)]

def doDistribution[T](target: Element[T]): Stream[(Double, T)]

def doExpectation[T](target: Element[T], function: (T) ⇒ Double): Double

def doKill(): Unit

def doProbability[T](target: Element[T], predicate: (T) ⇒ Boolean): Double

def doResume(): Unit

def doStart(): Unit

def doStop(): Unit

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def expectation[T](target: Element[T], function: (T) ⇒ Double): Double

def finalize(): Unit

final def getClass(): Class[_]

def handle(service: Service): Response

def hashCode(): Int

def initialize(): Unit

def isActive: Boolean

final def isInstanceOf[T0]: Boolean

def kill(): Unit

def mean(target: Element[Double]): Double

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def posteriorElement[T](target: Element[T], universe: Universe = Universe.universe): Element[T]

def probability[T](target: Element[T], value: T): Double

def probability[T](target: Element[T], predicate: (T) ⇒ Boolean): Double

def resume(): Unit

def runStep(): Unit

var runner: ActorRef

var running: Boolean

def shutdown: Unit

def start(): Unit

def stop(): Unit

def stopUpdate(): Unit

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

var system: ActorSystem

implicit val timeout: Timeout

def toString(): String

def variance(target: Element[Double]): Double

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from AnytimeSampler

Inherited from Sampler

Inherited from AnytimeProbQuery

Inherited from Anytime

Inherited from ProbQueryAlgorithm

Inherited from Algorithm

Inherited from AnyRef