Metal

Value Members

1. final def !=(arg0: Any): Boolean

   

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. final def asInstanceOf[T0]: T0

   

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5. def batchBackprop(batchLosses: ExpressionVector, trainer: SafeTrainer): Float

   

6. def clone(): AnyRef

   

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7. final def eq(arg0: AnyRef): Boolean

   

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8. def equals(arg0: Any): Boolean

   

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9. def evaluate(taskId: Int, taskName: String, sentences: Array[Array[Row]], name: String, epoch: Int): (Double, Double, Double, Double)

   

   Computes accuracy/P/R/F1 for the evaluation dataset of the given task Where possible, it also saves CoNLL-2003 compatible files of the output

10. def evaluate(taskId: Int, taskName: String, sentences: Array[Array[Row]]): (Double, Double, Double, Double)

    

11. def evaluate(taskId: Int, taskName: String, sentences: Array[Array[Row]], epoch: Int): (Double, Double, Double, Double)

    

12. def finalize(): Unit

    

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13. final def getClass(): Class[_]

    

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14. def hashCode(): Int

    

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15. def initialize(): Array[Layers]

    

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16. final def isInstanceOf[T0]: Boolean

    

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17. def mkVocabularies(): (Array[Counter[String]], Array[Counter[String]])

    

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18. lazy val model: IndexedSeq[Layers]

    

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19. final def ne(arg0: AnyRef): Boolean

    

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20. final def notify(): Unit

    

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21. final def notifyAll(): Unit

    

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22. val parameters: ParameterCollection

    

23. def parse(sentence: AnnotatedSentence, constEmbeddings: ConstEmbeddingParameters): IndexedSeq[(Int, String)]

    

    Custom method for the parsing algorithm

    Custom method for the parsing algorithm

    sentence

    Input sentence

    constEmbeddings

    Constant embeddings for this sentence

    returns

    Tuple of (head, label) for each word in the sentence

24. def predict(taskId: Int, sentence: AnnotatedSentence, constEmbeddings: ConstEmbeddingParameters): IndexedSeq[String]

    

25. def predictJointly(sentence: AnnotatedSentence, constEmbeddings: ConstEmbeddingParameters): IndexedSeq[IndexedSeq[String]]

    

26. def predictWithScores(taskId: Int, sentence: AnnotatedSentence, constEmbeddings: ConstEmbeddingParameters): IndexedSeq[IndexedSeq[(String, Float)]]

    

27. def save(baseFilename: String): Unit

    

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

    

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29. def taskManager: TaskManager

    

30. val taskManagerOpt: Option[TaskManager]

    

31. def test(): Unit

    

32. def toString(): String

    

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33. def train(modelNamePrefix: String): Unit

    

34. final def wait(): Unit

    

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

    

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36. final def wait(arg0: Long): Unit

    

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