EasyMaxEnt

abstract def allContexts: Iterator[(EasyMaxEnt.this)#Context]

abstract def decisionsForContext(c: (EasyMaxEnt.this)#Context): Iterator[(EasyMaxEnt.this)#Decision]

abstract def expectedCounts(logThetas: Counter2[(EasyMaxEnt.this)#Context, (EasyMaxEnt.this)#Decision, Double]): (Double, Counter2[(EasyMaxEnt.this)#Context, (EasyMaxEnt.this)#Decision, Double])

Should compute marginal likelihood and expected counts for the data

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

val contextIndex: Index[(EasyMaxEnt.this)#Context]

val decisionIndex: MutableIndex[(EasyMaxEnt.this)#Decision]

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def expectedCounts(encodedThetas: IndexedSeq[Vector[Double]]): (Double, IndexedSeq[Vector[Double]])

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

val indexedDecisionsForContext: IndexedSeq[IndexedSeq[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