object NerDLApproach extends DefaultParamsReadable[NerDLApproach] with WithGraphResolver with Serializable

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

Linear Supertypes
Serializable, Serializable, WithGraphResolver, DefaultParamsReadable[NerDLApproach], MLReadable[NerDLApproach], AnyRef, Any
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  1. NerDLApproach
  2. Serializable
  3. Serializable
  4. WithGraphResolver
  5. DefaultParamsReadable
  6. MLReadable
  7. AnyRef
  8. Any
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  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 getDataSetParams(dsIt: Iterator[Array[(TextSentenceLabels, WordpieceEmbeddingsSentence)]]): (Set[String], Set[Char], Int, Long)
  11. def getDataSetParamsFromMetadata(dataset: Dataset[_], labelColumn: String): Option[(Set[String], Set[Char], Int, Long)]

    Try to get dataset params from metadata by fitting NerDLGraphChecker and written by NerDLGraphCheckerModel.

    Try to get dataset params from metadata by fitting NerDLGraphChecker and written by NerDLGraphCheckerModel.

    returns

    Some(labels, chars, embeddingsDim, dsLen) if metadata found, None otherwise

  12. def getGraphParams(dataset: Dataset[_], inputColumns: ArrayList[String], labelColumn: String): (Int, Int, Int)
  13. def getIteratorFunc(dataset: Dataset[Row], inputColumns: Array[String], labelColumn: String, batchSize: Int, prefetchBatches: Int): () ⇒ Iterator[Array[(TextSentenceLabels, WordpieceEmbeddingsSentence)]]
  14. def getIteratorFunc(dataset: Dataset[Row], inputColumns: Array[String], labelColumn: String, batchSize: Int, enableMemoryOptimizer: Boolean): () ⇒ Iterator[Array[(TextSentenceLabels, WordpieceEmbeddingsSentence)]]
  15. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  16. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  17. def load(path: String): NerDLApproach
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  18. val logger: Logger
    Attributes
    protected
  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 read: MLReader[NerDLApproach]
    Definition Classes
    DefaultParamsReadable → MLReadable
  23. def searchForSuitableGraph(tags: Int, embeddingsNDims: Int, nChars: Int, localGraphPath: Option[String] = None): String
    Definition Classes
    WithGraphResolver
  24. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  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
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    @throws( ... )
  28. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
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    @throws( ... ) @native()

Inherited from Serializable

Inherited from Serializable

Inherited from WithGraphResolver

Inherited from DefaultParamsReadable[NerDLApproach]

Inherited from MLReadable[NerDLApproach]

Inherited from AnyRef

Inherited from Any

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