class BeamHypotheses extends AnyRef
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- new BeamHypotheses(lengthPenalty: Double, numBeams: Int, earlyStopping: Boolean = false, maxLength: Int)
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def
add(hypotheses: Array[Int], sumLogProbs: Double, beamIndices: Array[Int]): Unit
Add a new hypotheses to the list
Add a new hypotheses to the list
- hypotheses
Hypothesis
- sumLogProbs
Sum of Log Probabilities
- beamIndices
Beam Indices
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asInstanceOf[T0]: T0
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finalize(): Unit
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- def getBeams: Seq[(Double, Array[Int], Array[Int])]
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def
isDone(bestSumLogProbs: Double, currentLength: Int): Boolean
If there are enough hypotheses and that none of the hypotheses being generated can become better than the worst one in the heap, then we are done with this sentence.
If there are enough hypotheses and that none of the hypotheses being generated can become better than the worst one in the heap, then we are done with this sentence.
- bestSumLogProbs
Best Sum of Log Probabilities
- currentLength
Current Length
- returns
Status of the sentence
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final
def
isInstanceOf[T0]: Boolean
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- var lengthPenalty: Double
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ne(arg0: AnyRef): Boolean
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notifyAll(): Unit
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