Packages

object LongformerForQuestionAnswering extends ReadablePretrainedLongformerForQAModel with ReadLongformerForQuestionAnsweringDLModel with Serializable

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Inherited
  1. LongformerForQuestionAnswering
  2. Serializable
  3. Serializable
  4. ReadLongformerForQuestionAnsweringDLModel
  5. ReadTensorflowModel
  6. ReadablePretrainedLongformerForQAModel
  7. HasPretrained
  8. ParamsAndFeaturesReadable
  9. DefaultParamsReadable
  10. MLReadable
  11. AnyRef
  12. Any
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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: (LongformerForQuestionAnswering, 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
    HasPretrained
  9. val defaultModelName: Some[String]
    Definition Classes
    ReadablePretrainedLongformerForQAModel → 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): LongformerForQuestionAnswering
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  17. def loadSavedModel(modelPath: String, spark: SparkSession): LongformerForQuestionAnswering
    Definition Classes
    ReadLongformerForQuestionAnsweringDLModel
  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, remoteLoc: String): LongformerForQuestionAnswering

    Java default argument interoperability

    Java default argument interoperability

    Definition Classes
    ReadablePretrainedLongformerForQAModel → HasPretrained
  22. def pretrained(name: String, lang: String): LongformerForQuestionAnswering
    Definition Classes
    ReadablePretrainedLongformerForQAModel → HasPretrained
  23. def pretrained(name: String): LongformerForQuestionAnswering
    Definition Classes
    ReadablePretrainedLongformerForQAModel → HasPretrained
  24. def pretrained(): LongformerForQuestionAnswering

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedLongformerForQAModel → HasPretrained
  25. def read: MLReader[LongformerForQuestionAnswering]
    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  26. def readModel(instance: LongformerForQuestionAnswering, path: String, spark: SparkSession): Unit
    Definition Classes
    ReadLongformerForQuestionAnsweringDLModel
  27. def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, tags: Array[String] = Array.empty, initAllTables: Boolean = false): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  28. def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  29. def readTensorflowModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty, initAllTables: Boolean = false, savedSignatures: Option[Map[String, String]] = None): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  30. def readTensorflowWithSPModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty, initAllTables: Boolean = false, loadSP: Boolean = false): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  31. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  32. val tfFile: String
    Definition Classes
    ReadLongformerForQuestionAnsweringDLModel → 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 ReadLongformerForQuestionAnsweringDLModel

Inherited from ReadTensorflowModel

Inherited from ReadablePretrainedLongformerForQAModel

Inherited from HasPretrained[LongformerForQuestionAnswering]

Inherited from ParamsAndFeaturesReadable[LongformerForQuestionAnswering]

Inherited from DefaultParamsReadable[LongformerForQuestionAnswering]

Inherited from MLReadable[LongformerForQuestionAnswering]

Inherited from AnyRef

Inherited from Any

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