Class

com.johnsnowlabs.ml.tensorflow

DatasetEncoderParams

Related Doc: package tensorflow

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case class DatasetEncoderParams(tags: List[String], chars: List[Char], emptyVector: List[Float], embeddingsDim: Int, defaultTag: String = "O") extends Product with Serializable

tags

list of unique tags

chars

list of unique characters

emptyVector

list of embeddings

embeddingsDim

dimension of embeddings

defaultTag

the default tag

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  1. DatasetEncoderParams
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Instance Constructors

  1. new DatasetEncoderParams(tags: List[String], chars: List[Char], emptyVector: List[Float], embeddingsDim: Int, defaultTag: String = "O")

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    tags

    list of unique tags

    chars

    list of unique characters

    emptyVector

    list of embeddings

    embeddingsDim

    dimension of embeddings

    defaultTag

    the default tag

Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. val chars: List[Char]

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    list of unique characters

  6. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    @throws( ... )

  7. val defaultTag: String

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    the default tag

  8. val embeddingsDim: Int

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    dimension of embeddings

  9. val emptyEmbeddings: Array[Float]

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  10. val emptyVector: List[Float]

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    list of embeddings

  11. final def eq(arg0: AnyRef): Boolean

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  12. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )

  13. final def getClass(): Class[_]

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  14. final def isInstanceOf[T0]: Boolean

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  15. final def ne(arg0: AnyRef): Boolean

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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  18. final def synchronized[T0](arg0: ⇒ T0): T0

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  19. val tags: List[String]

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    list of unique tags

  20. final def wait(): Unit

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    @throws( ... )

  21. final def wait(arg0: Long, arg1: Int): Unit

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  22. final def wait(arg0: Long): Unit

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Inherited from Serializable

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