class
GreedyForwardLayer extends ForwardLayer
Instance Constructors
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new
GreedyForwardLayer(parameters: ParameterCollection, inputSize: Int, isDual: Boolean, t2i: Map[String, Int], i2t: Array[String], H: Parameter, rootParam: Parameter, distanceEmbeddingSize: Int, distanceLookupParameters: Option[LookupParameter], nonlinearity: Int, dropoutProb: Float)
Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
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val
H: Parameter
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final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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val
distanceEmbeddingSize: Int
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val
distanceLookupParameters: Option[LookupParameter]
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val
dropoutProb: Float
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
finalize(): Unit
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def
forward(inputExpressions: ExpressionVector, modifierHeadPairs: Option[IndexedSeq[ModifierHeadPair]], doDropout: Boolean): ExpressionVector
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final
def
getClass(): Class[_]
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def
hashCode(): Int
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val
i2t: Array[String]
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def
inDim: Int
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def
inference(emissionScores: Array[Array[Float]]): IndexedSeq[String]
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def
inferenceWithScores(emissionScores: Array[Array[Float]]): IndexedSeq[IndexedSeq[(String, Float)]]
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val
inputSize: Int
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val
isDual: Boolean
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final
def
isInstanceOf[T0]: Boolean
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def
loss(finalStates: ExpressionVector, goldLabelStrings: IndexedSeq[Label]): Expression
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def
mkRelativePositionEmbedding(modifier: Int, head: Int): Expression
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final
def
ne(arg0: AnyRef): Boolean
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val
nonlinearity: Int
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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def
outDim: Int
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val
parameters: ParameterCollection
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val
rootParam: Parameter
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def
saveX2i(printWriter: PrintWriter): Unit
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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val
t2i: Map[String, Int]
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def
toString(): String
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
Inherited from AnyRef
Inherited from Any
