Class

com.johnsnowlabs.ml.tensorflow

TensorflowRoBertaClassification

Related Doc: package tensorflow

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class TensorflowRoBertaClassification extends Serializable

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Instance Constructors

  1. new TensorflowRoBertaClassification(tensorflowWrapper: TensorflowWrapper, sentenceStartTokenId: Int, sentenceEndTokenId: Int, padTokenId: Int, configProtoBytes: Option[Array[Byte]] = None, tags: Map[String, Int], signatures: Option[Map[String, String]] = None)

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    tensorflowWrapper

    Bert Model wrapper with TensorFlow Wrapper

    sentenceStartTokenId

    Id of sentence start Token

    sentenceEndTokenId

    Id of sentence end Token.

    configProtoBytes

    Configuration for TensorFlow session

    tags

    labels which model was trained with in order

    signatures

    TF v2 signatures in Spark NLP

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. val _tfRoBertaSignatures: Map[String, String]

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  5. final def asInstanceOf[T0]: T0

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  6. def calcluateSoftmax(scores: Array[Float]): Array[Float]

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  7. def clone(): AnyRef

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

  8. def encode(sentences: Seq[(WordpieceTokenizedSentence, Int)], maxSequenceLength: Int): Seq[Array[Int]]

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    Encode the input sequence to indexes IDs adding padding where necessary

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

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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

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  13. def hashCode(): Int

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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. def predict(sentences: Seq[WordpieceTokenizedSentence], originalTokenSentences: Seq[TokenizedSentence], batchSize: Int, maxSentenceLength: Int): Seq[Annotation]

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

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  20. def tag(batch: Seq[Array[Int]]): Seq[Array[Array[Float]]]

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  21. val tensorflowWrapper: TensorflowWrapper

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    Bert Model wrapper with TensorFlow Wrapper

  22. def toString(): String

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  23. final def wait(): Unit

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

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

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