object SentimentTreebankPipeline extends SerializableLogging
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- class Inference [L, W] extends framework.Inference[TreeInstance[L, W]]
- class Model [L, W] extends framework.Model[TreeInstance[L, W]]
- case class Options (path: File, name: String = "SentiParser", opt: OptParams, lossType: String = "", iterationsPerEval: Int = 50, maxIterations: Int = 202, evalOnTest: Boolean = false, alsoEvalOnTest: Boolean = false, includeDevInTrain: Boolean = false, modelFactory: SpanModelFactory = new SpanModelFactory, rootLossScaling: Double = 1.0, computeTrainLL: Boolean = false) extends Product with Serializable
- case class Stats (spansRight: Int, numSpans: Int, spansRightTernary: Int, spansRightBinary: Int, numBinarySpans: Int, rootsRight: Int, numRoots: Int, rootsRightTernary: Int, rootsRightBinary: Int, numBinaryRoots: Int) extends Product with Serializable
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- def computeLL(trainTrees: IndexedSeq[TreeInstance[AnnotatedLabel, String]], model: SpanModel[AnnotatedLabel, AnnotatedLabel, String], weights: DenseVector[Double]): Unit
- def decode(tree: BinarizedTree[Unit], marginal: ParseMarginal[AnnotatedLabel, String], decodeType: DecodeType): BinarizedTree[AnnotatedLabel]
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- def evaluate(name: String, parser: Parser[AnnotatedLabel, String], testTrees: IndexedSeq[TreeInstance[AnnotatedLabel, String]], decodeType: DecodeType): Stats
- def evaluateRootConfusions(name: String, parser: Parser[AnnotatedLabel, String], testTrees: IndexedSeq[TreeInstance[AnnotatedLabel, String]], decodeType: DecodeType): Array[Array[Int]]
- def evaluateSpanConfusions(name: String, parser: Parser[AnnotatedLabel, String], testTrees: IndexedSeq[TreeInstance[AnnotatedLabel, String]], decodeType: DecodeType): Array[Array[Int]]
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