c

com.cra.figaro.algorithm.learning

OnlineExpectationMaximizationWithFactors

class OnlineExpectationMaximizationWithFactors extends OnlineExpectationMaximization

An online EM algorithm which learns parameters using a factored algorithm

Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. OnlineExpectationMaximizationWithFactors
  2. OnlineExpectationMaximization
  3. ExpectationMaximization
  4. ParameterLearner
  5. Online
  6. Algorithm
  7. AnyRef
  8. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new OnlineExpectationMaximizationWithFactors(initial: Universe, transition: () ⇒ Universe, targetParameters: Parameter[_]*)(terminationCriteria: () ⇒ EMTerminationCriteria)

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. val active: Boolean
    Attributes
    protected
    Definition Classes
    Algorithm
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. 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
  7. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  8. val currentUniverse: Universe
    Attributes
    protected
    Definition Classes
    OnlineExpectationMaximization
  9. val debug: Boolean
    Definition Classes
    ExpectationMaximization
  10. def doExpectationStep(): Map[Parameter[_], Seq[Double]]
  11. def doKill(): Unit
    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    ExpectationMaximizationAlgorithm
  12. def doMaximizationStep(parameterMapping: Map[Parameter[_], Seq[Double]]): Unit
    Attributes
    protected
    Definition Classes
    ExpectationMaximization
  13. def doResume(): Unit
    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    ExpectationMaximizationAlgorithm
  14. def doStart(): Unit
  15. def doStop(): Unit
    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    ExpectationMaximizationAlgorithm
  16. def em(): Unit
    Attributes
    protected
    Definition Classes
    ExpectationMaximization
  17. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  18. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  19. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  20. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  21. def hashCode(): Int
    Definition Classes
    AnyRef → Any
  22. val initial: Universe
  23. 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
  24. def isActive: Boolean
    Definition Classes
    Algorithm
  25. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  26. def iteration(): Unit
    Definition Classes
    ExpectationMaximization
  27. 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
  28. val lastIterationStatistics: Map[Parameter[_], Seq[Double]]
    Attributes
    protected
    Definition Classes
    OnlineExpectationMaximization
  29. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  30. final def notify(): Unit
    Definition Classes
    AnyRef
  31. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  32. val paramMap: Map[Parameter[_], Seq[Double]]
    Attributes
    protected
    Definition Classes
    ExpectationMaximization
  33. 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
  34. 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
  35. 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
  36. val sufficientStatistics: Map[Parameter[_], Seq[Double]]
    Definition Classes
    ExpectationMaximization
  37. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  38. val targetParameters: Parameter[_]*
  39. val terminationCriteria: () ⇒ EMTerminationCriteria
  40. def toString(): String
    Definition Classes
    AnyRef → Any
  41. val transition: () ⇒ Universe
  42. def update(evidence: Seq[NamedEvidence[_]] = Seq()): Unit

    Observe new evidence and perform one expectation step and one maximization step

    Observe new evidence and perform one expectation step and one maximization step

    Definition Classes
    OnlineExpectationMaximizationOnline
  43. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  44. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  45. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from ExpectationMaximization

Inherited from ParameterLearner

Inherited from Online

Inherited from Algorithm

Inherited from AnyRef

Inherited from Any

Ungrouped