dk.bayes.factorgraph.ep

GenericEP

Related Doc: package ep

case class GenericEP(factorGraph: FactorGraph, threshold: Double = 0.00001) extends EP with Product with Serializable

Default implementation of the Expectation Propagation Bayesian Inference algorithm.

threshold

Calibration criteria: the maximum absolute difference between old and new corresponding messages on a factor graph,

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Serializable, Serializable, Product, Equals, EP, AnyRef, Any
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Instance Constructors

  1. new GenericEP(factorGraph: FactorGraph, threshold: Double = 0.00001)

    threshold

    Calibration criteria: the maximum absolute difference between old and new corresponding messages on a factor graph,

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. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  5. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  6. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  7. val factorGraph: FactorGraph

  8. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  9. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any

  10. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  11. def marginal(variableId: Int, variablesIds: Int*): Factor

    Returns marginal factor for a given variable(s) in a factor graph.

    Returns marginal factor for a given variable(s) in a factor graph.

    Definition Classes
    GenericEP → EP

  12. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  13. final def notify(): Unit

    Definition Classes
    AnyRef

  14. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  15. def setEvidence(varId: Int, varValue: AnyVal): Unit

    Sets evidence in a factor graph.

    Sets evidence in a factor graph.

    varId

    Variable id

    varValue

    Variable value

    Definition Classes
    GenericEP → EP

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

    Definition Classes
    AnyRef

  17. val threshold: Double

    Calibration criteria: the maximum absolute difference between old and new corresponding messages on a factor graph,

  18. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  20. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from EP

Inherited from AnyRef

Inherited from Any

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