LatentParserInference

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

val annotator: (BinarizedTree[L], IndexedSeq[W]) ⇒ BinarizedTree[IndexedSeq[L2]]

final def asInstanceOf[T0]: T0

def baseAugment(v: TreeInstance[L, W]): UnrefinedGrammarAnchoring[L, W]

The "no prior information" augment.

def clone(): AnyRef

val constrainer: Factory[L, W]

final def eq(arg0: AnyRef): Boolean

val featurizer: RefinedFeaturizer[L, W, Feature]

def forTesting: LatentParserInference[L, L2, W]

final def getClass(): Class[_]

def goldMarginal(scorer: Scorer, ti: TreeInstance[L, W], aug: UnrefinedGrammarAnchoring[L, W]): Marginal

def goldMarginal(scorer: Scorer, v: TreeInstance[L, W]): Marginal

Produces the "gold marginal" which is the marginal conditioned on the output label/structure itself.

val grammar: Grammar[L, W]

final def isInstanceOf[T0]: Boolean

def marginal(scorer: Scorer, v: TreeInstance[L, W], aug: UnrefinedGrammarAnchoring[L, W]): Marginal

Produces the "guess marginal" which is the marginal conditioned on only the input data

def marginal(scorer: Scorer, v: TreeInstance[L, W]): Marginal

Produces the "guess marginal" which is the marginal conditioned on only the input data

def marginal(v: TreeInstance[L, W]): Marginal

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def project(v: TreeInstance[L, W], s: Scorer, m: Marginal, oldAugment: UnrefinedGrammarAnchoring[L, W]): UnrefinedGrammarAnchoring[L, W]

val projections: GrammarRefinements[L, L2]

def projector: EPProjector[L, W]

def scorer(v: TreeInstance[L, W]): Scorer

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

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

final def wait(arg0: Long): Unit

final def wait(): Unit

def finalize(): Unit