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 centerIfTooLong(maxSentLen: Int)(sentence: WordpieceEmbeddingsSentence, start: Int, end: Int): (WordpieceEmbeddingsSentence, Int, Int)

   This method normalizes the input sentence by centering it around the target This method should apply only if the target sentence is outside the max sentence length

   This method normalizes the input sentence by centering it around the target This method should apply only if the target sentence is outside the max sentence length

   maxSentLen

   an array of sentences to encode

   sentence

   a candidate sentence to center for

   start

   a start index

   end

   an end index

   returns

   a triplet, which contains embedding sentence, begin and end indexes

   Attributes

   protected

6.  def clone(): AnyRef

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   protected[lang]

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7.  def decodeOutputData(tagIds: Array[Int]): Array[String]

   This method decodes array on Int

   This method decodes array on Int

   tagIds

   an Array of Int, to decode for

   returns

   an Array of String, which represents decoded instances

8.  def encodeInputData(sentences: Array[WordpieceEmbeddingsSentence], start: Array[Int], end: Array[Int], embeddingsDim: Int, maxSentenceLength: Int, scopeWindow: (Int, Int)): AssertionBatch

   This method encodes the sentences using the embeddings dimensionality, start and end index At this point the graph does not support feeding a dynamic maxSentenceLength

   This method encodes the sentences using the embeddings dimensionality, start and end index At this point the graph does not support feeding a dynamic maxSentenceLength

   sentences

   an array of sentences to encode

   start

   an array of start positions

   end

   an array of end positions

   embeddingsDim

   a dimensionality of target Embeddings

   maxSentenceLength

   a length, which constrains the maximum sentence length

   returns

   an instance of AssertionBatch

9.  def encodeOneHot(label: String): Array[Float]

   This method performs one hot encoding of the label

   This method performs one hot encoding of the label

   label

   a label to represent as one-hot representation

   returns

   an array in one-hot format, representing input label

10.  final def eq(arg0: AnyRef): Boolean

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11.  def equals(arg0: Any): Boolean

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12.  val extraFeatSize: Int
13.  def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )

14.  final def getClass(): Class[_]

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    @native()

15.  def hashCode(): Int

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16.  final def isInstanceOf[T0]: Boolean

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17.  def l2norm(xs: Array[Float]): Float

    This simple method computes L2 distance of input array

    This simple method computes L2 distance of input array

    xs

    an array of Float to get the distance for

    returns

    a Float, representing L2 distance

18.  final def ne(arg0: AnyRef): Boolean

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19.  val nonTargetMark: Seq[Float]
20.  final def normalize(vec: Array[Float]): Array[Float]

    This method normalizes the input array using the L2 norm distance

    This method normalizes the input array using the L2 norm distance

    vec

    an array of Float to normalize

    returns

    a normalized version of input array

21.  final def notify(): Unit

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22.  final def notifyAll(): Unit

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23.  val params: DatasetEncoderParams
24.  def randomSplit(dataset: Seq[Datapoint], fraction: Float): (Seq[Datapoint], Seq[Datapoint])

    This method splits the input dataset into the train and test with given proportion

    This method splits the input dataset into the train and test with given proportion

    dataset

    a Sequence of DataPoints to split for

    fraction

    a proportion which represents in what scale we need to split the input data

    returns

    train and test fraction of original dataset

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

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26.  val tags: Array[String]
27.  val tags2Id: Map[String, Int]
28.  val targetMark: Seq[Float]
29.  def toString(): String

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30.  final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

32.  final def wait(arg0: Long): Unit

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    @throws( ... ) @native()