object LegalBertForTokenClassification extends ReadablePretrainedLegalBertForTokenModel with ReadLegalBertForTokenTensorflowModel with Serializable

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

Linear Supertypes
Serializable, Serializable, ReadLegalBertForTokenTensorflowModel, ReadTensorflowModel, ReadablePretrainedLegalBertForTokenModel, HasPretrained[LegalBertForTokenClassification], ParamsAndFeaturesReadable[LegalBertForTokenClassification], DefaultParamsReadable[LegalBertForTokenClassification], MLReadable[LegalBertForTokenClassification], AnyRef, Any
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Inherited
  1. LegalBertForTokenClassification
  2. Serializable
  3. Serializable
  4. ReadLegalBertForTokenTensorflowModel
  5. ReadTensorflowModel
  6. ReadablePretrainedLegalBertForTokenModel
  7. HasPretrained
  8. ParamsAndFeaturesReadable
  9. DefaultParamsReadable
  10. MLReadable
  11. AnyRef
  12. Any
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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: (LegalBertForTokenClassification, 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
    ReadablePretrainedLegalBertForTokenModel → HasPretrained
  9. val defaultModelName: Some[String]
    Definition Classes
    ReadablePretrainedLegalBertForTokenModel → 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): LegalBertForTokenClassification
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  17. def loadSavedModel(modelPath: String, spark: SparkSession): LegalBertForTokenClassification
  18. def loadSavedModelOpenSource(bertForTokenClassifierPath: String, tfModelPath: String, spark: SparkSession): LegalBertForTokenClassification
  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 pretrained(name: String, lang: String, remoteLoc: String): LegalBertForTokenClassification

    Java compliant-overrides

    Java compliant-overrides

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

Inherited from Serializable

Inherited from Serializable

Inherited from ReadTensorflowModel

Inherited from HasPretrained[LegalBertForTokenClassification]

Inherited from ParamsAndFeaturesReadable[LegalBertForTokenClassification]

Inherited from DefaultParamsReadable[LegalBertForTokenClassification]

Inherited from MLReadable[LegalBertForTokenClassification]

Inherited from AnyRef

Inherited from Any

Ungrouped