FSMTrainingVectorSource

abstract def getVectorIterator: Iterator[FSMTrainingVector]

final def !=(arg0: Any): Boolean

final def ##(): Int

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

def generateVectors(marbleBlock: MarbleBlock): List[FSMTrainingVector]

This generates a list of labeled feature vectors from a gold parse tree (for training).

final def getClass(): Class[_]

def groupVectorIteratorsByTask: Iterator[(ClassificationTask, Iterator[FSMTrainingVector])]

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

lazy val tasks: Iterable[ClassificationTask]

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit