object PositionalNeuralModelFactory extends Serializable

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  4. def addNonlinearity(nonLinType: String, numHidden: Int, dropoutRate: Double, currLayer: Transform[Array[Int], DenseVector[Double]]): Transform[Array[Int], DenseVector[Double]]
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  6. def buildNet(word2vecIndexed: Word2VecIndexed[String], inputSize: Int, numHidden: Int, numHiddenLayers: Int, outputSize: Int, nonLinType: String, dropoutRate: Double, backpropIntoEmbeddings: Boolean): AffineOutputTransform[Array[Int]]
  7. def buildNetInnerTransforms(word2vecIndexed: Word2VecIndexed[String], inputSize: Int, numHidden: Int, numHiddenLayers: Int, nonLinType: String, dropoutRate: Double, backpropIntoEmbeddings: Boolean): Transform[Array[Int], DenseVector[Double]]
  8. def buildNetOutputEmbedding(word2vecIndexed: Word2VecIndexed[String], inputSize: Int, numHidden: Int, numHiddenLayers: Int, outputSize: Int, nonLinType: String, dropoutRate: Double, backpropIntoEmbeddings: Boolean, outputEmbeddingDim: Int, coarsenerForInitialization: Option[(Int) ⇒ Int]): OutputTransform[Array[Int], DenseVector[Double]]
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  14. def getRuleToParentMapping(index: Index[Feature]): (Int) ⇒ Int
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