object ZeroShotNerModel extends ReadablePretrainedZeroShotNer with ReadZeroShotNerTensorflowModel with Serializable

Linear Supertypes
Serializable, Serializable, ReadZeroShotNerTensorflowModel, ReadOnnxModel, ReadTensorflowModel, ReadablePretrainedZeroShotNer, HasPretrained[ZeroShotNerModel], ParamsAndFeaturesReadable[ZeroShotNerModel], DefaultParamsReadable[ZeroShotNerModel], MLReadable[ZeroShotNerModel], AnyRef, Any
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Inherited
  1. ZeroShotNerModel
  2. Serializable
  3. Serializable
  4. ReadZeroShotNerTensorflowModel
  5. ReadOnnxModel
  6. ReadTensorflowModel
  7. ReadablePretrainedZeroShotNer
  8. HasPretrained
  9. ParamsAndFeaturesReadable
  10. DefaultParamsReadable
  11. MLReadable
  12. AnyRef
  13. 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: (ZeroShotNerModel, String, SparkSession) ⇒ Unit): Unit
    Definition Classes
    ParamsAndFeaturesReadable
  5. def apply(model: PipelineStage): PipelineStage
  6. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  7. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  8. val defaultLang: String
    Definition Classes
    HasPretrained
  9. lazy val defaultLoc: String
    Definition Classes
    ReadablePretrainedZeroShotNer → HasPretrained
  10. val defaultModelName: Some[String]
    Definition Classes
    ReadablePretrainedZeroShotNer → HasPretrained
  11. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  12. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  13. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  14. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  15. def getFromRoBertaForQuestionAnswering(model: RoBertaForQuestionAnswering): ZeroShotNerModel
  16. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  17. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  18. def load(path: String): ZeroShotNerModel
    Definition Classes
    ReadablePretrainedZeroShotNer → MLReadable
  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. val onnxFile: String
    Definition Classes
    ReadZeroShotNerTensorflowModel → ReadOnnxModel
  23. def pretrained(name: String, lang: String, remoteLoc: String): ZeroShotNerModel
    Definition Classes
    ReadablePretrainedZeroShotNer → HasPretrained
  24. def pretrained(name: String, lang: String): ZeroShotNerModel
    Definition Classes
    ReadablePretrainedZeroShotNer → HasPretrained
  25. def pretrained(name: String): ZeroShotNerModel
    Definition Classes
    ReadablePretrainedZeroShotNer → HasPretrained
  26. def pretrained(): ZeroShotNerModel

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedZeroShotNer → HasPretrained
  27. def read: MLReader[ZeroShotNerModel]
    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  28. def readModel(instance: ZeroShotNerModel, path: String, spark: SparkSession): Unit
  29. def readOnnxModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, modelName: Option[String], tmpFolder: Option[String], dataFilePostfix: Option[String]): OnnxWrapper
    Definition Classes
    ReadOnnxModel
  30. def readOnnxModels(path: String, spark: SparkSession, modelNames: Seq[String], suffix: String, zipped: Boolean, useBundle: Boolean, dataFilePostfix: String): Map[String, OnnxWrapper]
    Definition Classes
    ReadOnnxModel
  31. def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean, tags: Array[String], initAllTables: Boolean): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  32. def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String]): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  33. 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
  34. def readTensorflowWithSPModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String], initAllTables: Boolean, loadSP: Boolean): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  35. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  36. val tfFile: String
    Definition Classes
    ReadZeroShotNerTensorflowModel → ReadTensorflowModel
  37. def toString(): String
    Definition Classes
    AnyRef → Any
  38. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  39. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  40. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Serializable

Inherited from Serializable

Inherited from ReadOnnxModel

Inherited from ReadTensorflowModel

Inherited from HasPretrained[ZeroShotNerModel]

Inherited from ParamsAndFeaturesReadable[ZeroShotNerModel]

Inherited from DefaultParamsReadable[ZeroShotNerModel]

Inherited from MLReadable[ZeroShotNerModel]

Inherited from AnyRef

Inherited from Any

Ungrouped