Gaussian

abstract def getParents(): Seq[Variable]

Definitions

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

def addChild(v: Variable): ListBuffer[Variable]

final def asInstanceOf[T0]: T0

var children: ListBuffer[Variable]

Implementation

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

def getAllVariables(): Seq[Variable]

Returns all variables in the Bayesian Network

def getChildren(): Seq[Variable]

final def getClass(): Class[_]

def hasChildren(): Boolean

def hasParents(): Boolean

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

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

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit