BaseProbQuerySampler

Type Members

class NotATargetException[T] extends AlgorithmException

Definition Classes
BaseProbQueryAlgorithm

Abstract Value Members

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

Attributes
protected
Definition Classes
BaseProbQueryAlgorithm
abstract def doExpectation[T](target: U[T], function: (T) ⇒ Double): Double

Attributes
protected
Definition Classes
BaseProbQueryAlgorithm
abstract def doKill(): Unit

Attributes
protected[com.cra.figaro.algorithm]
Definition Classes
Algorithm
abstract def doProbability[T](target: U[T], predicate: (T) ⇒ Boolean): Double

Attributes
protected
Definition Classes
BaseProbQueryAlgorithm
abstract def doResume(): Unit

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

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

Attributes
protected[com.cra.figaro.algorithm]
Definition Classes
Algorithm
abstract def getTotalWeight: Double

Total weight of samples taken, in log space
abstract val queryTargets: Seq[U[_]]

Definition Classes
BaseProbQueryAlgorithm

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
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 computeDistribution[T](target: U[T]): Stream[(Double, T)]

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
BaseProbQuerySampler → BaseProbQueryAlgorithm
def computeExpectation[T](target: U[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
BaseProbQuerySampler → BaseProbQueryAlgorithm
def computeProbability[T](target: U[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
BaseProbQueryAlgorithm
def computeProjection[T](target: U[T]): List[(T, Double)]

Attributes
protected[com.cra.figaro.algorithm]
Definition Classes
BaseProbQueryAlgorithm
def distribution[T](target: U[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
BaseProbQueryAlgorithm
def doProjection[T](target: U[T]): List[(T, Double)]

Attributes
protected
Definition Classes
BaseProbQueryAlgorithm
final def eq(arg0: AnyRef): Boolean

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

Definition Classes
AnyRef → Any
def expectation[T](target: U[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
BaseProbQueryAlgorithm
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 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
def mean(target: U[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
BaseProbQueryAlgorithm
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def probability[T](target: U[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
BaseProbQueryAlgorithm
def probability[T](target: U[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
BaseProbQueryAlgorithm
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 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
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
def variance(target: U[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
BaseProbQueryAlgorithm
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 sampling

trait BaseProbQuerySampler[U[_]] extends BaseProbQueryAlgorithm[U]

Type Members

class NotATargetException[T] extends AlgorithmException

Abstract Value Members

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

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

abstract def doKill(): Unit

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

abstract def doResume(): Unit

abstract def doStart(): Unit

abstract def doStop(): Unit

abstract def getTotalWeight: Double

abstract val queryTargets: Seq[U[_]]

Concrete Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

var active: Boolean

final def asInstanceOf[T0]: T0

def cleanUp(): Unit

def clone(): AnyRef

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

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

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

def computeProjection[T](target: U[T]): List[(T, Double)]

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

def doProjection[T](target: U[T]): List[(T, Double)]

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

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

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

def initialize(): Unit

def isActive: Boolean

final def isInstanceOf[T0]: Boolean

def kill(): Unit

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

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

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

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

def resume(): Unit

def start(): Unit

def stop(): Unit

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

def toString(): String

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

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from BaseProbQueryAlgorithm[U]

Inherited from Algorithm

Inherited from AnyRef

Inherited from Any

Ungrouped