MutableDiscreteVar

abstract def domain: DiscreteDomain

Abstract method to return the domain of this variable.

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

def !==(other: Var): Boolean

final def ##(): Int

final def :=(i: Int): Unit

final def :=(newValue: Value): Unit

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

def ===(other: Var): Boolean

Value comparisons (as distinct from variable pointer equality)

def _initialize(newValue: Int): Unit

final def _value: Int

final def asInstanceOf[T0]: T0

def caseFactorProportions(model: model.Model): Proportions1

Return the distribution over values of this variable given the model and given that all other variables' values are fixed.

def clone(): AnyRef

def contains(index: Int): Boolean

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

def intValue: Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def printName: String

def proportions(model: model.Model): Proportions1

Return the distribution over values of this variable given the model and given that all other variables' values are fixed.

def proportions(factors: Iterable[model.Factor]): Proportions1

Return the distribution over values of this variable given some factors (which presumably neighbor this DiscreteVar) and given that all other variables' values are fixed.

def set(newValue: Int)(implicit d: DiffList): Unit

final def set(newValue: Value)(implicit d: DiffList): Unit

Assign a new value to this variable

def setRandomly(implicit random: Random, d: DiffList = null): Unit

def settings: SettingIterator

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

def toString(): String

def value: Value

Abstract method to return the value of this variable.

final def wait(): Unit

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

final def wait(arg0: Long): Unit