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com.johnsnowlabs.nlp.annotators.ner

ReadZeroShotNerTensorflowModel

trait ReadZeroShotNerTensorflowModel extends ReadTensorflowModel with ReadOnnxModel

Self Type
ReadZeroShotNerTensorflowModel with ParamsAndFeaturesReadable[ZeroShotNerModel]
Linear Supertypes
ReadOnnxModel, ReadTensorflowModel, AnyRef, Any
Known Subclasses
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Inherited
  1. ReadZeroShotNerTensorflowModel
  2. ReadOnnxModel
  3. ReadTensorflowModel
  4. AnyRef
  5. Any
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Visibility
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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. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  6. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  7. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  8. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  9. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  10. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  11. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  12. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  13. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  14. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  15. val onnxFile: String
    Definition Classes
    ReadZeroShotNerTensorflowModel → ReadOnnxModel
  16. def readModel(instance: ZeroShotNerModel, path: String, spark: SparkSession): Unit
  17. 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
  18. def readOnnxModels(path: String, spark: SparkSession, modelNames: Seq[String], suffix: String, zipped: Boolean, useBundle: Boolean, dataFilePostfix: String): Map[String, OnnxWrapper]
    Definition Classes
    ReadOnnxModel
  19. def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean, tags: Array[String], initAllTables: Boolean): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  20. def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String]): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  21. 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
  22. def readTensorflowWithSPModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String], initAllTables: Boolean, loadSP: Boolean): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  23. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  24. val tfFile: String
    Definition Classes
    ReadZeroShotNerTensorflowModel → ReadTensorflowModel
  25. def toString(): String
    Definition Classes
    AnyRef → Any
  26. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  27. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  28. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from ReadOnnxModel

Inherited from ReadTensorflowModel

Inherited from AnyRef

Inherited from Any

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