t

com.johnsnowlabs.nlp.annotators.seq2seq

ReadablePretrainedMedicalLLM

trait ReadablePretrainedMedicalLLM extends ParamsAndFeaturesFallbackReadable[MedicalLLM] with HasPretrained[MedicalLLM]

Linear Supertypes
HasPretrained[MedicalLLM], ParamsAndFeaturesFallbackReadable[MedicalLLM], ParamsAndFeaturesReadable[MedicalLLM], DefaultParamsReadable[MedicalLLM], MLReadable[MedicalLLM], AnyRef, Any
Known Subclasses
MedicalLLM
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. ReadablePretrainedMedicalLLM
  2. HasPretrained
  3. ParamsAndFeaturesFallbackReadable
  4. ParamsAndFeaturesReadable
  5. DefaultParamsReadable
  6. MLReadable
  7. AnyRef
  8. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Abstract Value Members

  1. abstract def fallbackLoad(folder: String, spark: SparkSession): MedicalLLM
    Definition Classes
    ParamsAndFeaturesFallbackReadable

Concrete 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: (MedicalLLM, 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
    ReadablePretrainedMedicalLLM → HasPretrained
  8. lazy val defaultLoc: String
    Definition Classes
    ReadablePretrainedMedicalLLM → HasPretrained
  9. val defaultModelName: Some[String]
    Definition Classes
    ReadablePretrainedMedicalLLM → HasPretrained
  10. val defaultPreferredEngine: String
    Definition Classes
    HasPretrained
  11. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  12. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  13. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  14. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  15. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  16. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  17. def load(path: String): MedicalLLM
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  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. def onRead(instance: MedicalLLM, path: String, session: SparkSession): Unit
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  22. def pretrained(name: String, lang: String, remoteLoc: String): MedicalLLM
    Definition Classes
    ReadablePretrainedMedicalLLM → HasPretrained
  23. def pretrained(name: String, lang: String): MedicalLLM
    Definition Classes
    ReadablePretrainedMedicalLLM → HasPretrained
  24. def pretrained(name: String): MedicalLLM
    Definition Classes
    ReadablePretrainedMedicalLLM → HasPretrained
  25. def pretrained(): MedicalLLM

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedMedicalLLM → HasPretrained
  26. def pretrained(name: String, lang: String, remoteLoc: String, preferredEngine: String): MedicalLLM
    Definition Classes
    HasPretrained
  27. def pretrainedEngine(name: String, lang: String, preferredEngine: String): MedicalLLM
    Definition Classes
    HasPretrained
  28. def pretrainedEngine(name: String, preferredEngine: String): MedicalLLM
    Definition Classes
    HasPretrained
  29. def read: MLReader[MedicalLLM]
    Definition Classes
    ParamsAndFeaturesFallbackReadable → ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  30. val readers: ArrayBuffer[(MedicalLLM, String, SparkSession) ⇒ Unit]
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  31. val skipPreferredEngine: Boolean
    Definition Classes
    HasPretrained
  32. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  33. def toString(): String
    Definition Classes
    AnyRef → Any
  34. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  35. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  36. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from HasPretrained[MedicalLLM]

Inherited from ParamsAndFeaturesFallbackReadable[MedicalLLM]

Inherited from ParamsAndFeaturesReadable[MedicalLLM]

Inherited from DefaultParamsReadable[MedicalLLM]

Inherited from MLReadable[MedicalLLM]

Inherited from AnyRef

Inherited from Any

Ungrouped