Value Members

1.  final def !=(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

2.  final def ##(): Int

   Definition Classes

   AnyRef → Any

3.  final def ==(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

4.  def addReader(reader: (MedicalQuestionAnswering, String, SparkSession) ⇒ Unit): Unit

   Definition Classes

   ParamsAndFeaturesReadable

5.  final def asInstanceOf[T0]: T0

   Definition Classes

   Any

6.  def clone(): AnyRef

   Attributes

   protected[lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... ) @native()

7.  val defaultLang: String

   Definition Classes

   HasPretrained

8.  lazy val defaultLoc: String

   Definition Classes

   ReadablePretrainedMedicalQuestionAnsweringModel → HasPretrained

9.  val defaultModelName: Some[String]

   Definition Classes

   ReadablePretrainedMedicalQuestionAnsweringModel → HasPretrained

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

    Definition Classes

    AnyRef

11.  def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

12.  def finalize(): Unit

    Attributes

    protected[lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

13.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

14.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

15.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

16.  def load(path: String): MedicalQuestionAnswering

    Definition Classes

    MLReadable

    Annotations

    @Since( "1.6.0" )

17.  def loadMedicalTextGenerator(medicalTextGeneratorPath: String, spark: SparkSession): MedicalQuestionAnswering

    Definition Classes

    ReadMedicalQuestionAnsweringModel

18.  def loadMedicalTextGenerator(medicalTextGenerator: MedicalTextGenerator, spark: SparkSession): MedicalQuestionAnswering

    Definition Classes

    ReadMedicalQuestionAnsweringModel

19.  def loadSavedModel(modelPath: String, spark: SparkSession, modelType: String): MedicalTextGenerator

    Definition Classes

    ReadMedicalQuestionAnsweringModel

20.  final def ne(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

21.  final def notify(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

22.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

23.  val onnxDecoderFile: String

    Definition Classes

    ReadMedicalQuestionAnsweringModel

24.  val onnxEncoderFile: String

    Definition Classes

    ReadMedicalQuestionAnsweringModel

25.  def pretrained(name: String, lang: String, remoteLoc: String): MedicalQuestionAnswering

    Definition Classes

    ReadablePretrainedMedicalQuestionAnsweringModel → HasPretrained

26.  def pretrained(name: String, lang: String): MedicalQuestionAnswering

    Definition Classes

    ReadablePretrainedMedicalQuestionAnsweringModel → HasPretrained

27.  def pretrained(name: String): MedicalQuestionAnswering

    Definition Classes

    ReadablePretrainedMedicalQuestionAnsweringModel → HasPretrained

28.  def pretrained(): MedicalQuestionAnswering

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes

    ReadablePretrainedMedicalQuestionAnsweringModel → HasPretrained

29.  def read: MLReader[MedicalQuestionAnswering]

    Definition Classes

    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable

30.  def readModel(instance: MedicalQuestionAnswering, path: String, spark: SparkSession): Unit

    Definition Classes

    ReadMedicalQuestionAnsweringModel

31.  def readOnnxModel(path: String, onnxFile: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, sessionOptions: Option[SessionOptions] = None, supressWarnings: Boolean = false): OnnxWrapper

    Definition Classes

    InternalReadOnnxModel

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

    Definition Classes

    ReadSentencePieceModel

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

    Definition Classes

    ReadTensorflowModel

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

    Definition Classes

    ReadTensorflowModel

35.  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

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

    Definition Classes

    ReadTensorflowModel

37.  val sppFile: String

    Definition Classes

    ReadMedicalQuestionAnsweringModel → ReadSentencePieceModel

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

    Definition Classes

    AnyRef

39.  val tfFile: String

    Definition Classes

    ReadMedicalQuestionAnsweringModel → ReadTensorflowModel

40.  def toString(): String

    Definition Classes

    AnyRef → Any

41.  final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... ) @native()