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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 clone(): AnyRef

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

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7.  def equals(arg0: Any): Boolean

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8.  def finalize(): Unit

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9.  final def getClass(): Class[_]

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10.  def hashCode(): Int

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11.  final def isInstanceOf[T0]: Boolean

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12.  def loadMedicalTextGenerator(medicalTextGeneratorPath: String, spark: SparkSession): MedicalQuestionAnswering
13.  def loadMedicalTextGenerator(medicalTextGenerator: MedicalTextGenerator, spark: SparkSession): MedicalQuestionAnswering
14.  def loadSavedModel(modelPath: String, spark: SparkSession, modelType: String): MedicalTextGenerator
15.  final def ne(arg0: AnyRef): Boolean

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16.  final def notify(): Unit

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17.  final def notifyAll(): Unit

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18.  val onnxDecoderFile: String
19.  val onnxEncoderFile: String
20.  val onnxFile: String

    Definition Classes

    ReadMedicalQuestionAnsweringModel → InternalReadOnnxModel

21.  def readModel(instance: MedicalQuestionAnswering, path: String, spark: SparkSession): Unit
22.  def readOnnxModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, modelName: Option[String] = None, tmpFolder: Option[String] = None, dataFilePostfix: Option[String] = None): InternalOnnxWrapper

    Definition Classes

    InternalReadOnnxModel

23.  def readOnnxModels(path: String, spark: SparkSession, modelNames: Seq[String], suffix: String, zipped: Boolean = true, useBundle: Boolean = false, dataFilePostfix: String = "_data"): Map[String, InternalOnnxWrapper]

    Definition Classes

    InternalReadOnnxModel

24.  def readSentencePieceModel(path: String, spark: SparkSession, suffix: String, filename: String): SentencePieceWrapper

    Definition Classes

    ReadSentencePieceModel

25.  def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean, tags: Array[String], initAllTables: Boolean): TensorflowWrapper

    Definition Classes

    ReadTensorflowModel

26.  def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String]): TensorflowWrapper

    Definition Classes

    ReadTensorflowModel

27.  def readTensorflowModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String], initAllTables: Boolean, savedSignatures: Option[Map[String, String]]): TensorflowWrapper

    Definition Classes

    ReadTensorflowModel

28.  def readTensorflowWithSPModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String], initAllTables: Boolean, loadSP: Boolean): TensorflowWrapper

    Definition Classes

    ReadTensorflowModel

29.  val sppFile: String

    Definition Classes

    ReadMedicalQuestionAnsweringModel → ReadSentencePieceModel

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

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31.  val tfFile: String

    Definition Classes

    ReadMedicalQuestionAnsweringModel → ReadTensorflowModel

32.  def toString(): String

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33.  final def wait(): Unit

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

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

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