com.intel.analytics.bigdl.example.treeLSTMSentiment

Utils

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 = 1.0E-4, p: Double = 0.5, epoch: Int = 5) extends AbstractTextClassificationParams with Product with Serializable

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  14. def loadEmbeddingAndVocabulary(sc: SparkContext, w2vPath: String, vocabPath: String, indexFrom: Int): (Tensor[Float], Map[String, Int])

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  18. val paramParser: OptionParser[TreeLSTMSentimentParam]

  19. 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]])

  20. def readTree(parents: Array[Int]): Tensor[Float]

  21. def remapLabel(label: Float): Float

  22. def reverse[D](arr: Array[D], l: Int, r: Int): Unit

  23. 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

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

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  25. def toSample(treeRDD: RDD[Tensor[Float]], labelRDD: RDD[Array[Float]], sentenceRDD: RDD[Array[Int]]): RDD[Sample[Float]]

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