IncrementableSummary

abstract def factorMarginals: Iterable[FactorMarginal]

abstract def incrementCurrentValues(weight: Double): Unit

abstract def logZ: Double

abstract def marginal(factor: model.Factor): FactorMarginal

If this Summary has a Marginal that touches all or a subset of the neighbors of this factor return the Marginal with the maximally-available subset.

abstract def marginal(v: variable.Var): Marginal1

If this Summary has a univariate Marginal for variable v, return it; otherwise return null.

abstract def marginals: Iterable[Marginal1]

The collection of all Marginals available in this Summary

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def getMarginal(v: variable.Var): Option[Marginal1]

If this summary has a univariate Marginal for variable v, return it in an Option; otherwise return None.

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def setToMaximize(implicit d: variable.DiffList): Unit

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

def toString(): String

def variables: Iterable[variable.Var]

All the variables for which this Summary has a univariate Marginal.

final def wait(): Unit

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

final def wait(arg0: Long): Unit