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object Utils

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  1. case class TreeLSTMSentimentParam(baseDir: String = "/tmp/.bigdl/dataset/", batchSize: Int = 128, hiddenSize: Int = 250, learningRate: Double = 0.05, regRate: Double = 1e-4, p: Double = 0.5, epoch: Int = 5, optimizerVersion: Option[String] = None) extends AbstractTextClassificationParams with Product with Serializable

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  12. def loadEmbeddingAndVocabulary(sc: SparkContext, w2vPath: String, vocabPath: String, indexFrom: Int): (Tensor[Float], Map[String, Int])
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  16. val paramParser: OptionParser[TreeLSTMSentimentParam]
  17. def preProcessData(sc: SparkContext, vocabBC: Broadcast[Map[String, Int]], oovChar: Int, treePath: String, labelPath: String, sentencePath: String): (RDD[Tensor[Float]], RDD[Array[Float]], RDD[Array[Int]])
  18. def readTree(parents: Array[Int]): Tensor[Float]
  19. def remapLabel(label: Float): Float
  20. def reverse[D](arr: Array[D], l: Int, r: Int): Unit
  21. def rotate[D](arr: Array[D], offset: Int): Array[D]

    Rotate an array arr from offset distance to the end

    Rotate an array arr from offset distance to the end

    arr

    Given array

    offset

    right rotate how many elements

  22. final def synchronized[T0](arg0: ⇒ T0): T0
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  23. def toSample(treeRDD: RDD[Tensor[Float]], labelRDD: RDD[Array[Float]], sentenceRDD: RDD[Array[Int]]): RDD[Sample[Float]]
  24. def toString(): String
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