cc.factorie.directed

RealGeneratingFactor

trait RealGeneratingFactor extends DirectedFactor

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  1. RealGeneratingFactor
  2. DirectedFactor
  3. Factor
  4. Ordered
  5. Comparable
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Type Members

  1. abstract type ChildType <: variable.Var

    Definition Classes
    DirectedFactor
  2. abstract type StatisticsType

    Definition Classes
    Factor

Abstract Value Members

  1. abstract def assignmentScore(a: variable.Assignment): Double

    This factor's score, using the neighbors' values from the given assignment, not necessarily their current values.

    This factor's score, using the neighbors' values from the given assignment, not necessarily their current values..

    Definition Classes
    Factor
  2. abstract def child: ChildType

    Definition Classes
    DirectedFactor
  3. abstract def currentAssignment: variable.Assignment

    Return a record of the current values of this Factor's neighbors.

    Return a record of the current values of this Factor's neighbors.

    Definition Classes
    Factor
  4. abstract def currentScore: Double

    This factor's contribution to the unnormalized log-probability of the current possible world.

    This factor's contribution to the unnormalized log-probability of the current possible world.

    Definition Classes
    Factor
  5. abstract def logpr(x: Double): Double

  6. abstract def numVariables: Int

    The number of variables neighboring this factor.

    The number of variables neighboring this factor.

    Definition Classes
    Factor
  7. abstract def parents: Seq[variable.Var]

    Definition Classes
    DirectedFactor
  8. abstract def pr(x: Double): Double

  9. abstract def pr: Double

    Definition Classes
    DirectedFactor
  10. abstract def sampleDouble: Double

  11. abstract def sampledValue(implicit random: Random): Any

    Definition Classes
    DirectedFactor
  12. abstract def variable(index: Int): variable.Var

    The Nth neighboring variable of this factor.

    The Nth neighboring variable of this factor.

    Definition Classes
    Factor
  13. abstract def variables: Seq[variable.Var]

    Returns the collection of variables neighboring this factor.

    Returns the collection of variables neighboring this factor.

    Definition Classes
    Factor

Concrete Value Members

  1. final def !=(arg0: AnyRef): Boolean

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

    Definition Classes
    Any
  3. final def ##(): Int

    Definition Classes
    AnyRef → Any
  4. def <(that: model.Factor): Boolean

    Definition Classes
    Ordered
  5. def <=(that: model.Factor): Boolean

    Definition Classes
    Ordered
  6. final def ==(arg0: AnyRef): Boolean

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

    Definition Classes
    Any
  8. def >(that: model.Factor): Boolean

    Definition Classes
    Ordered
  9. def >=(that: model.Factor): Boolean

    Definition Classes
    Ordered
  10. var _hashCode: Int

    Definition Classes
    Factor
  11. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  12. def assignmentScoreAndStatistics(a: variable.Assignment): (Double, StatisticsType)

    Definition Classes
    Factor
  13. def assignmentStatistics(a: variable.Assignment): StatisticsType

    Return this Factor's sufficient statistics for the values in the Assignment.

    Return this Factor's sufficient statistics for the values in the Assignment.

    Definition Classes
    Factor
  14. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  15. def compare(that: model.Factor): Int

    Return an object that can iterate over all value assignments to the neighbors of this Factor

    Return an object that can iterate over all value assignments to the neighbors of this Factor

    Definition Classes
    Factor → Ordered
  16. def compareTo(that: model.Factor): Int

    Definition Classes
    Ordered → Comparable
  17. def currentScoreAndStatistics: (Double, StatisticsType)

    Return the score and statistics of the current neighbor values; this method enables special cases in which it is more efficient to calculate them together.

    Return the score and statistics of the current neighbor values; this method enables special cases in which it is more efficient to calculate them together.

    Definition Classes
    Factor
  18. def currentStatistics: StatisticsType

    Return this Factor's sufficient statistics of the current values of the Factor's neighbors.

    Return this Factor's sufficient statistics of the current values of the Factor's neighbors.

    Definition Classes
    Factor
  19. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  20. def equalityPrerequisite: AnyRef

    In order to two Factors to satisfy "equals", the value returned by this method for each Factor must by "eq".

    In order to two Factors to satisfy "equals", the value returned by this method for each Factor must by "eq". This method is overridden in Family to deal with Factors that are inner classes.

    Definition Classes
    Factor
  21. def equals(other: Any): Boolean

    Definition Classes
    Factor → AnyRef → Any
  22. def factorName: String

    Definition Classes
    Factor
  23. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  24. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  25. def hashCode(): Int

    Definition Classes
    Factor → AnyRef → Any
  26. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  27. def logpr: Double

    Definition Classes
    DirectedFactor
  28. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  29. final def notify(): Unit

    Definition Classes
    AnyRef
  30. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  31. def resetCollapsedChild(): Boolean

    Definition Classes
    DirectedFactor
  32. def statisticsAreValues: Boolean

    True iff the statistics are the values (without transformation), e.

    True iff the statistics are the values (without transformation), e.g. valuesStatistics simply returns its argument.

    Definition Classes
    Factor
  33. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  34. def toString(): String

    Definition Classes
    Factor → AnyRef → Any
  35. def touches(variable: variable.Var): Boolean

    Does this Factor have the given variable among its neighbors?

    Does this Factor have the given variable among its neighbors?

    Definition Classes
    Factor
  36. def touchesAny(variables: Iterable[variable.Var]): Boolean

    Does this Factor have any of the given variables among its neighbors?

    Does this Factor have any of the given variables among its neighbors?

    Definition Classes
    Factor
  37. def updateCollapsedChild(): Boolean

    Definition Classes
    DirectedFactor
  38. def updateCollapsedParents(weight: Double): Boolean

    Update sufficient statistics in collapsed parents, using current value of child, with weight.

    Update sufficient statistics in collapsed parents, using current value of child, with weight. Return false on failure.

    Definition Classes
    DirectedFactor
  39. def valuesScore(tensor: Tensor): Double

    Return the score for Factors whose values can be represented as a Tensor, otherwise throw an Error.

    Return the score for Factors whose values can be represented as a Tensor, otherwise throw an Error. For Factors/Family in which the Statistics are the values, this method simply calls statisticsScore(Tensor).

    Definition Classes
    Factor
  40. def valuesScoreAndStatistics(t: Tensor): (Double, Tensor)

    Definition Classes
    Factor
  41. def valuesStatistics(tensor: Tensor): Tensor

    Given a Tensor representation of the values, return a Tensor representation of the statistics.

    Given a Tensor representation of the values, return a Tensor representation of the statistics. We assume that if the values have Tensor representation that the StatisticsType does also. Note that (e.g. in BP) the Tensor may represent not just a single value for each neighbor, but a distribution over values

    Definition Classes
    Factor
  42. final def wait(): Unit

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  44. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from DirectedFactor

Inherited from model.Factor

Inherited from Ordered[model.Factor]

Inherited from Comparable[model.Factor]

Inherited from AnyRef

Inherited from Any

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