object MedicalNerModel extends ReadablePretrainedMedicalNer with ReadsMedicalNerGraph with Serializable

Linear Supertypes
Serializable, Serializable, ReadsMedicalNerGraph, ReadTensorflowModel, ReadablePretrainedMedicalNer, HasPretrained[MedicalNerModel], ParamsAndFeaturesReadable[MedicalNerModel], DefaultParamsReadable[MedicalNerModel], MLReadable[MedicalNerModel], AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. MedicalNerModel
  2. Serializable
  3. Serializable
  4. ReadsMedicalNerGraph
  5. ReadTensorflowModel
  6. ReadablePretrainedMedicalNer
  7. HasPretrained
  8. ParamsAndFeaturesReadable
  9. DefaultParamsReadable
  10. MLReadable
  11. AnyRef
  12. 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: (MedicalNerModel, 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
    ReadablePretrainedMedicalNer → HasPretrained
  9. val defaultModelName: Some[String]
    Definition Classes
    ReadablePretrainedMedicalNer → 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): MedicalNerModel
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  17. def loadSavedModel(nerDLModelPath: String, amendedTfPath: String, spark: SparkSession): MedicalNerModel
  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 pretrained(name: String, lang: String): MedicalNerModel
    Definition Classes
    ReadablePretrainedMedicalNer → HasPretrained
  22. def pretrained(name: String): MedicalNerModel
    Definition Classes
    ReadablePretrainedMedicalNer → HasPretrained
  23. def pretrained(): MedicalNerModel

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedMedicalNer → HasPretrained
  24. def pretrained(name: String, lang: String, remoteLoc: String): MedicalNerModel
    Definition Classes
    ReadablePretrainedMedicalNer → HasPretrained
  25. def read: MLReader[MedicalNerModel]
    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  26. def readNerGraph(instance: MedicalNerModel, path: String, spark: SparkSession): Unit
    Definition Classes
    ReadsMedicalNerGraph
  27. def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean, tags: Array[String], initAllTables: Boolean): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  28. def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String]): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  29. 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
  30. def readTensorflowWithSPModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String], initAllTables: Boolean, loadSP: Boolean): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  31. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  32. val tfFile: String
    Definition Classes
    ReadsMedicalNerGraph → ReadTensorflowModel
  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 Serializable

Inherited from Serializable

Inherited from ReadsMedicalNerGraph

Inherited from ReadTensorflowModel

Inherited from HasPretrained[MedicalNerModel]

Inherited from ParamsAndFeaturesReadable[MedicalNerModel]

Inherited from DefaultParamsReadable[MedicalNerModel]

Inherited from MLReadable[MedicalNerModel]

Inherited from AnyRef

Inherited from Any

Ungrouped