object FinanceBertForTokenClassification extends ReadablePretrainedFinanceBertForTokenModel with ReadFinanceBertForTokenTensorflowModel with Serializable

This is the companion object of FinanceBertForTokenClassification. Please refer to that class for the documentation.

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  1. FinanceBertForTokenClassification
  2. Serializable
  3. Serializable
  4. ReadFinanceBertForTokenTensorflowModel
  5. ReadTensorflowModel
  6. ReadablePretrainedFinanceBertForTokenModel
  7. HasPretrained
  8. ParamsAndFeaturesReadable
  9. DefaultParamsReadable
  10. MLReadable
  11. AnyRef
  12. Any
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  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: (FinanceBertForTokenClassification, 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
    ReadablePretrainedFinanceBertForTokenModel → HasPretrained
  9. val defaultModelName: Some[String]
    Definition Classes
    ReadablePretrainedFinanceBertForTokenModel → 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): FinanceBertForTokenClassification
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  17. def loadSavedModel(modelPath: String, spark: SparkSession): FinanceBertForTokenClassification
  18. def loadSavedModelOpenSource(bertForTokenClassifierPath: String, tfModelPath: String, spark: SparkSession): FinanceBertForTokenClassification
  19. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  20. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  21. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  22. def onRead(instance: FinanceBertForTokenClassification, path: String, session: SparkSession): Unit
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  23. def pretrained(name: String, lang: String, remoteLoc: String): FinanceBertForTokenClassification

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedFinanceBertForTokenModel → HasPretrained
  24. def pretrained(name: String, lang: String): FinanceBertForTokenClassification
    Definition Classes
    ReadablePretrainedFinanceBertForTokenModel → HasPretrained
  25. def pretrained(name: String): FinanceBertForTokenClassification
    Definition Classes
    ReadablePretrainedFinanceBertForTokenModel → HasPretrained
  26. def pretrained(): FinanceBertForTokenClassification
    Definition Classes
    ReadablePretrainedFinanceBertForTokenModel → HasPretrained
  27. def read: MLReader[FinanceBertForTokenClassification]
    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  28. def readTensorflow(instance: FinanceBertForTokenClassification, path: String, spark: SparkSession): Unit
  29. def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean, tags: Array[String], initAllTables: Boolean): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  30. def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String]): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  31. 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
  32. def readTensorflowWithSPModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String], initAllTables: Boolean, loadSP: Boolean): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  33. val readers: ArrayBuffer[(FinanceBertForTokenClassification, String, SparkSession) ⇒ Unit]
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  34. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  35. val tfFile: String
    Definition Classes
    ReadFinanceBertForTokenTensorflowModel → ReadTensorflowModel
  36. def toString(): String
    Definition Classes
    AnyRef → Any
  37. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  38. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  39. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Serializable

Inherited from Serializable

Inherited from ReadTensorflowModel

Inherited from HasPretrained[FinanceBertForTokenClassification]

Inherited from ParamsAndFeaturesReadable[FinanceBertForTokenClassification]

Inherited from DefaultParamsReadable[FinanceBertForTokenClassification]

Inherited from MLReadable[FinanceBertForTokenClassification]

Inherited from AnyRef

Inherited from Any

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