object MedicalTextGenerator extends ReadablePretrainedMedicalTextGenerator with ReadMedicalMedicalTextGenerator with Serializable

Linear Supertypes
Serializable, Serializable, ReadMedicalMedicalTextGenerator, InternalReadOnnxModel, ReadSentencePieceModel, ReadTensorflowModel, ReadablePretrainedMedicalTextGenerator, HasPretrained[MedicalTextGenerator], ParamsAndFeaturesReadable[MedicalTextGenerator], DefaultParamsReadable[MedicalTextGenerator], MLReadable[MedicalTextGenerator], AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. MedicalTextGenerator
  2. Serializable
  3. Serializable
  4. ReadMedicalMedicalTextGenerator
  5. InternalReadOnnxModel
  6. ReadSentencePieceModel
  7. ReadTensorflowModel
  8. ReadablePretrainedMedicalTextGenerator
  9. HasPretrained
  10. ParamsAndFeaturesReadable
  11. DefaultParamsReadable
  12. MLReadable
  13. AnyRef
  14. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

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: (MedicalTextGenerator, 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
    ReadablePretrainedMedicalTextGenerator → HasPretrained
  9. val defaultModelName: Some[String]
    Definition Classes
    ReadablePretrainedMedicalTextGenerator → 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): MedicalTextGenerator
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  17. def loadSavedModel(modelPath: String, spark: SparkSession, modelType: String): MedicalTextGenerator
  18. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  19. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  20. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  21. val onnxDecoderFile: String
  22. val onnxEncoderFile: String
  23. def pretrained(name: String, lang: String, remoteLoc: String): MedicalTextGenerator
    Definition Classes
    ReadablePretrainedMedicalTextGenerator → HasPretrained
  24. def pretrained(name: String, lang: String): MedicalTextGenerator
    Definition Classes
    ReadablePretrainedMedicalTextGenerator → HasPretrained
  25. def pretrained(name: String): MedicalTextGenerator
    Definition Classes
    ReadablePretrainedMedicalTextGenerator → HasPretrained
  26. def pretrained(): MedicalTextGenerator

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedMedicalTextGenerator → HasPretrained
  27. def read(modelPath: String, zipped: Boolean = true, useBundle: Boolean = false, modelName: String = "model"): OnnxWrapper
    Definition Classes
    InternalReadOnnxModel
  28. def read: MLReader[MedicalTextGenerator]
    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  29. def readModel(instance: MedicalTextGenerator, path: String, spark: SparkSession): Unit
  30. 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
  31. def readSentencePieceModel(path: String, spark: SparkSession, suffix: String, filename: String): SentencePieceWrapper
    Definition Classes
    ReadSentencePieceModel
  32. def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean, tags: Array[String], initAllTables: Boolean): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  33. def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String]): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  34. 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
  35. def readTensorflowWithSPModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String], initAllTables: Boolean, loadSP: Boolean): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  36. val sppFile: String
    Definition Classes
    ReadMedicalMedicalTextGenerator → ReadSentencePieceModel
  37. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  38. val tfFile: String
    Definition Classes
    ReadMedicalMedicalTextGenerator → ReadTensorflowModel
  39. def toString(): String
    Definition Classes
    AnyRef → Any
  40. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  41. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  42. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Serializable

Inherited from Serializable

Inherited from InternalReadOnnxModel

Inherited from ReadSentencePieceModel

Inherited from ReadTensorflowModel

Inherited from HasPretrained[MedicalTextGenerator]

Inherited from ParamsAndFeaturesReadable[MedicalTextGenerator]

Inherited from DefaultParamsReadable[MedicalTextGenerator]

Inherited from MLReadable[MedicalTextGenerator]

Inherited from AnyRef

Inherited from Any

Ungrouped