Packages

object MPNetForTokenClassification extends ReadablePretrainedMPNetForTokenDLModel with ReadMPNetForTokenDLModel with Serializable

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

Linear Supertypes
Serializable, Serializable, ReadMPNetForTokenDLModel, ReadOnnxModel, ReadablePretrainedMPNetForTokenDLModel, HasPretrained[MPNetForTokenClassification], ParamsAndFeaturesReadable[MPNetForTokenClassification], DefaultParamsReadable[MPNetForTokenClassification], MLReadable[MPNetForTokenClassification], AnyRef, Any
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Inherited
  1. MPNetForTokenClassification
  2. Serializable
  3. Serializable
  4. ReadMPNetForTokenDLModel
  5. ReadOnnxModel
  6. ReadablePretrainedMPNetForTokenDLModel
  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: (MPNetForTokenClassification, 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
    ReadablePretrainedMPNetForTokenDLModel → 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): MPNetForTokenClassification
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  17. def loadSavedModel(modelPath: String, spark: SparkSession): MPNetForTokenClassification
    Definition Classes
    ReadMPNetForTokenDLModel
  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. val onnxFile: String
    Definition Classes
    ReadMPNetForTokenDLModel → ReadOnnxModel
  22. def pretrained(name: String, lang: String, remoteLoc: String): MPNetForTokenClassification

    Java default argument interoperability

    Java default argument interoperability

    Definition Classes
    ReadablePretrainedMPNetForTokenDLModel → HasPretrained
  23. def pretrained(name: String, lang: String): MPNetForTokenClassification
    Definition Classes
    ReadablePretrainedMPNetForTokenDLModel → HasPretrained
  24. def pretrained(name: String): MPNetForTokenClassification
    Definition Classes
    ReadablePretrainedMPNetForTokenDLModel → HasPretrained
  25. def pretrained(): MPNetForTokenClassification

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedMPNetForTokenDLModel → HasPretrained
  26. def read: MLReader[MPNetForTokenClassification]
    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  27. def readModel(instance: MPNetForTokenClassification, path: String, spark: SparkSession): Unit
    Definition Classes
    ReadMPNetForTokenDLModel
  28. def readOnnxModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, modelName: Option[String] = None, tmpFolder: Option[String] = None, dataFilePostfix: Option[String] = None): OnnxWrapper
    Definition Classes
    ReadOnnxModel
  29. def readOnnxModels(path: String, spark: SparkSession, modelNames: Seq[String], suffix: String, zipped: Boolean = true, useBundle: Boolean = false, dataFilePostfix: String = "_data"): Map[String, OnnxWrapper]
    Definition Classes
    ReadOnnxModel
  30. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  31. def toString(): String
    Definition Classes
    AnyRef → Any
  32. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  33. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  34. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Serializable

Inherited from Serializable

Inherited from ReadMPNetForTokenDLModel

Inherited from ReadOnnxModel

Inherited from ReadablePretrainedMPNetForTokenDLModel

Inherited from HasPretrained[MPNetForTokenClassification]

Inherited from ParamsAndFeaturesReadable[MPNetForTokenClassification]

Inherited from DefaultParamsReadable[MPNetForTokenClassification]

Inherited from MLReadable[MPNetForTokenClassification]

Inherited from AnyRef

Inherited from Any

Ungrouped