c

com.cra.figaro.algorithm.sampling

AnytimeMetropolisHastingsAnnealer

class AnytimeMetropolisHastingsAnnealer extends MetropolisHastingsAnnealer with AnytimeMPESampler

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Inherited
  1. AnytimeMetropolisHastingsAnnealer
  2. AnytimeMPESampler
  3. AnytimeMPE
  4. AnytimeSampler
  5. Anytime
  6. MetropolisHastingsAnnealer
  7. MPEAlgorithm
  8. MetropolisHastings
  9. BaseUnweightedSampler
  10. Sampler
  11. Algorithm
  12. AnyRef
  13. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new AnytimeMetropolisHastingsAnnealer(universe: Universe, scheme: ProposalScheme, annealSchedule: Schedule, burnIn: Int, interval: Int)

    annealSchedule

    The schedule that determines how to anneal the model

    burnIn

    The number of iterations to run before annealing starts

    interval

    The number of iterations to perform before recording the annealing state

Type Members

  1. class Runner extends Actor

    A class representing the actor running the algorithm.

    A class representing the actor running the algorithm.

    Definition Classes
    Anytime
  2. case class ComputeMostLikelyValue [T](target: Element[T]) extends Service with Product with Serializable

    A message instructing the handler to compute the most likely value of the target element.

    A message instructing the handler to compute the most likely value of the target element.

    Definition Classes
    AnytimeMPE
  3. case class MostLikelyValue [T](value: T) extends Response with Product with Serializable

    A message from the handler containing the most likely value of the previously requested element.

    A message from the handler containing the most likely value of the previously requested element.

    Definition Classes
    AnytimeMPE
  4. type LastUpdate[T] = (T, Int)
    Attributes
    protected
    Definition Classes
    BaseUnweightedSampler
  5. type Sample = Map[Element[_], Any]

    A sample is a map from elements to their values.

    A sample is a map from elements to their values.

    Definition Classes
    BaseUnweightedSampler
  6. type TimesSeen[T] = Map[T, Int]
    Attributes
    protected
    Definition Classes
    BaseUnweightedSampler

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def accept(state: State): Unit
    Attributes
    protected
    Definition Classes
    MetropolisHastings
  5. var acceptProbability: Double
    Attributes
    protected
    Definition Classes
    MetropolisHastings
  6. def acceptRejectRatio: Double

    Get the acceptance ratio for the sampler.

    Get the acceptance ratio for the sampler.

    Definition Classes
    MetropolisHastings
  7. var accepts: Int
    Attributes
    protected
    Definition Classes
    MetropolisHastings
  8. val active: Boolean
    Attributes
    protected
    Definition Classes
    Algorithm
  9. var allLastUpdates: Map[Element[_], LastUpdate[_]]
    Attributes
    protected
    Definition Classes
    BaseUnweightedSampler
  10. var allTimesSeen: Map[Element[_], TimesSeen[_]]
    Attributes
    protected
    Definition Classes
    BaseUnweightedSampler
  11. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  12. def awaitResponse(response: Future[Any], duration: Duration): Response
    Attributes
    protected
    Definition Classes
    Anytime
  13. var bestEnergy: Double
    Attributes
    protected
    Definition Classes
    MetropolisHastingsAnnealer
  14. 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
  15. var chainCache: Cache
    Attributes
    protected
    Definition Classes
    MetropolisHastings
  16. def cleanUp(): Unit

    Clean up the annealer, freeing memory.

    Clean up the annealer, freeing memory.

    Definition Classes
    AnytimeMetropolisHastingsAnnealerMetropolisHastingsAlgorithm
  17. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  18. def computeScores(): Double
    Attributes
    protected
    Definition Classes
    MetropolisHastings
  19. var constraintsBound: Boolean

    Set this flag to true when constraints are bound between 0 and 1 to enable early rejection of states with constrained elements.

    Set this flag to true when constraints are bound between 0 and 1 to enable early rejection of states with constrained elements.

    Definition Classes
    MetropolisHastings
  20. var constraintsSum: Double
    Attributes
    protected
    Definition Classes
    MetropolisHastings
  21. val currentConstraintValues: Map[Element[_], Double]
    Attributes
    protected
    Definition Classes
    MetropolisHastings
  22. var currentEnergy: Double
    Attributes
    protected
    Definition Classes
    MetropolisHastingsAnnealer
  23. val customConf: Config

    The actor running the algorithm.

    The actor running the algorithm.

    Definition Classes
    Anytime
  24. var debug: Boolean

    Set this flag to true to obtain debugging information.

    Set this flag to true to obtain debugging information.

    Definition Classes
    MetropolisHastings
  25. def decideToAccept(newState: State): Boolean
    Attributes
    protected
    Definition Classes
    MetropolisHastingsAnnealerMetropolisHastings
  26. var dissatisfied: Set[Element[_]]
    Attributes
    protected
    Definition Classes
    MetropolisHastings
  27. def doInitialize(): Unit
  28. def doKill(): Unit
    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    AnytimeAlgorithm
  29. def doMostLikelyValue[T](target: Element[T]): T
    Attributes
    protected
    Definition Classes
    AnytimeMPEMPEAlgorithm
  30. def doResume(): Unit
    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    AnytimeAlgorithm
  31. def doSample(): Unit
    Attributes
    protected
    Definition Classes
    MetropolisHastingsBaseUnweightedSamplerSampler
  32. def doStart(): Unit
    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    AnytimeAlgorithm
  33. def doStop(): Unit
    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    AnytimeAlgorithm
  34. var elementsUsedBy: Map[Element[_], Set[Element[_]]]
    Attributes
    protected
    Definition Classes
    MetropolisHastings
  35. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  36. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  37. val fastTargets: Set[Element[_]]
    Attributes
    protected
    Definition Classes
    MetropolisHastings
  38. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  39. def getBestEnergy: Double

    Return the best energy computed by the annealer.

    Return the best energy computed by the annealer.

    Definition Classes
    MetropolisHastingsAnnealer
  40. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  41. def getCurrentEnergy: Double

    Return the current energy of the annealer.

    Return the current energy of the annealer.

    Definition Classes
    MetropolisHastingsAnnealer
  42. def getDissatisfied: Set[Element[_]]
    Attributes
    protected
    Definition Classes
    MetropolisHastings
  43. def getSampleCount: Int

    Number of samples taken

    Number of samples taken

    Definition Classes
    BaseUnweightedSampler
  44. def getTemperature: Double

    The current temperature of the model.

    The current temperature of the model.

    Definition Classes
    MetropolisHastingsAnnealer
  45. def handle(service: Service): Response

    A handler of services provided by the algorithm.

    A handler of services provided by the algorithm.

    Definition Classes
    AnytimeMPEAnytime
  46. def hashCode(): Int
    Definition Classes
    AnyRef → Any
  47. def initConstrainedValues(): Unit
    Attributes
    protected
    Definition Classes
    MetropolisHastings
  48. def initUpdates(): Unit
    Attributes
    protected
    Definition Classes
    MetropolisHastingsAnnealerBaseUnweightedSampler
  49. def initialize(): Unit

    Initialize the annealer.

    Initialize the annealer.

    Definition Classes
    AnytimeMetropolisHastingsAnnealerAnytimeSamplerAlgorithm
  50. def isActive: Boolean
    Definition Classes
    Algorithm
  51. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  52. 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
  53. def lastTransProb: Double

    The last computed transition probability.

    The last computed transition probability.

    Definition Classes
    MetropolisHastingsAnnealer
  54. implicit val messageTimeout: Timeout

    default message timeout.

    default message timeout. Increase if queries to the algorithm fail due to timeout

    Definition Classes
    Anytime
  55. def mhStep(): State
    Attributes
    protected
    Definition Classes
    MetropolisHastingsAnnealerMetropolisHastings
  56. def mostLikelyValue[T](target: Element[T]): T

    Returns the most likely value for the target element.

    Returns the most likely value for the target element.

    Definition Classes
    MetropolisHastingsAnnealerMPEAlgorithm
  57. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  58. def newLastUpdate[T](target: Element[T]): LastUpdate[T]
    Attributes
    protected
    Definition Classes
    BaseUnweightedSampler
  59. def newTimesSeen[T](target: Element[T]): TimesSeen[T]
    Attributes
    protected
    Definition Classes
    BaseUnweightedSampler
  60. final def notify(): Unit
    Definition Classes
    AnyRef
  61. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  62. var oldModelProb: Double
    Attributes
    protected
    Definition Classes
    MetropolisHastings
  63. var oldPropProb: Double
    Attributes
    protected
    Definition Classes
    MetropolisHastings
  64. def proposeAndUpdate(): State
    Attributes
    protected
    Definition Classes
    MetropolisHastings
  65. var proposedElementsSortedUpdates: Map[Iterable[Element[_]], List[Element[_]]]
    Attributes
    protected
    Definition Classes
    MetropolisHastings
  66. lazy val queryTargets: List[Element[_]]
    Definition Classes
    BaseUnweightedSampler
  67. var rejects: Int
    Attributes
    protected
    Definition Classes
    MetropolisHastings
  68. def resetCounts(): Unit
    Attributes
    protected
    Definition Classes
    BaseUnweightedSamplerSampler
  69. 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
  70. def runScheme(): State
    Attributes
    protected
    Definition Classes
    MetropolisHastings
  71. 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
    AnytimeSamplerAnytime
  72. val runner: ActorRef
    Definition Classes
    Anytime
  73. val running: Boolean
    Definition Classes
    Anytime
  74. def sample(): (Boolean, Sample)

    Produce a single sample.

    Produce a single sample.

    Definition Classes
    MetropolisHastingsAnnealerMetropolisHastingsBaseUnweightedSampler
  75. var sampleCount: Int
    Attributes
    protected
    Definition Classes
    BaseUnweightedSampler
  76. def shutdown: Unit

    Release all resources from this anytime algorithm.

    Release all resources from this anytime algorithm.

    Definition Classes
    Anytime
  77. 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
  78. 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
  79. 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
    AnytimeSamplerAnytime
  80. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  81. val system: ActorSystem
    Definition Classes
    Anytime
  82. def test(numSamples: Int, predicates: Seq[Predicate[_]], elementsToTrack: Seq[Element[_]]): (Double, Map[Predicate[_], Double], Map[Element[_], Double])

    Test Metropolis-Hastings by repeatedly running a single step from the same initial state.

    Test Metropolis-Hastings by repeatedly running a single step from the same initial state. For each of a set of predicates, the fraction of times the predicate is satisfied by the resulting state is returned. By the resulting state, we mean the new state if it is accepted and the original state if not.

    Definition Classes
    MetropolisHastings
  83. def toString(): String
    Definition Classes
    AnyRef → Any
  84. def undo(state: State): Unit
    Attributes
    protected
    Definition Classes
    MetropolisHastings
  85. val universe: Universe
    Definition Classes
    BaseUnweightedSampler
  86. def update(): Unit
    Attributes
    protected
    Definition Classes
    BaseUnweightedSamplerSampler
  87. def updateTimesSeenForTarget[T](elem: Element[T], newValue: T): Unit
    Attributes
    protected
    Definition Classes
    MetropolisHastingsAnnealerBaseUnweightedSampler
  88. def updateTimesSeenWithValue[T](value: T, timesSeen: TimesSeen[T], seen: Int): Unit
    Attributes
    protected
    Definition Classes
    BaseUnweightedSampler
  89. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  90. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  91. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from AnytimeMPESampler

Inherited from AnytimeMPE

Inherited from AnytimeSampler

Inherited from Anytime

Inherited from MPEAlgorithm

Inherited from MetropolisHastings

Inherited from BaseUnweightedSampler

Inherited from Sampler

Inherited from Algorithm

Inherited from AnyRef

Inherited from Any

Ungrouped