ClassifierDatasetEncoder

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. def calculateEmbeddingsDim(dataset: DataFrame): Int

   

6. def clone(): AnyRef

   

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7. def collectTrainingInstances(dataset: DataFrame, labelCol: String): Array[Array[(String, Array[Float])]]

   

   Converts DataFrame to Array of Arrays of Labels (string)

   Converts DataFrame to Array of Arrays of Labels (string)

   dataset

   Input DataFrame with embeddings and labels

   returns

   Array of Array of Map(String, Array(Float))

8. def decodeOutputData(tagIds: Array[Array[Float]]): Array[Array[(String, Float)]]

   

   Converts Tag Identifiers to Tag Names

   Converts Tag Identifiers to Tag Names

   tagIds

   Tag Ids encoded for Tensorflow Model.

   returns

   Tag names

9. def encodeTags(labels: Array[String]): Array[Array[Int]]

   

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

    

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11. def equals(arg0: Any): Boolean

    

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12. def extractLabels(dataset: Array[Array[(String, Array[Float])]]): Array[String]

    

    Converts DataFrame to Array of Arrays of Labels (string)

    Converts DataFrame to Array of Arrays of Labels (string)

    dataset

    Input DataFrame with labels

    returns

    Array of Array of String

13. def extractSentenceEmbeddings(docs: Seq[(Int, Seq[Annotation])]): Array[Array[Float]]

    

    Converts DataFrame to Array of Arrays of Embeddings

    Converts DataFrame to Array of Arrays of Embeddings

    docs

    Input DataFrame with sentence_embeddings

    returns

    Array of Array of Float

14. def extractSentenceEmbeddings(dataset: Array[Array[(String, Array[Float])]]): Array[Array[Float]]

    

    Converts DataFrame to Array of Arrays of Embeddings

    Converts DataFrame to Array of Arrays of Embeddings

    dataset

    Input DataFrame with sentence_embeddings

    returns

    Array of Array of Float

15. def finalize(): Unit

    

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

    

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17. def hashCode(): Int

    

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18. final def isInstanceOf[T0]: Boolean

    

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

    

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20. final def notify(): Unit

    

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21. final def notifyAll(): Unit

    

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22. val params: ClassifierDatasetEncoderParams

    

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

    

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24. val tags: Array[String]

    

25. val tags2Id: Map[String, Int]

    

26. def toString(): String

    

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27. final def wait(): Unit

    

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

    

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

    

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