Class

com.johnsnowlabs.ml.tensorflow

TensorflowNer

Related Doc: package tensorflow

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class TensorflowNer extends Logging

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Instance Constructors

  1. new TensorflowNer(tensorflow: TensorflowWrapper, encoder: NerDatasetEncoder, batchSize: Int, verboseLevel: nlp.annotators.ner.Verbose.Value)

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    AnyRef → Any

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

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  4. final def asInstanceOf[T0]: T0

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  5. val batchSize: Int

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  6. def calcStat(correct: Int, predicted: Int, predictedCorrect: Int): (Float, Float, Float)

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  7. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  8. val encoder: NerDatasetEncoder

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

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

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  13. def getLogName: String

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    Definition Classes
    TensorflowNer → Logging

  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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    Any

  16. def log(value: ⇒ String, minLevel: Level): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  17. val logger: Logger

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    Attributes
    protected
    Definition Classes
    Logging

  18. def measure(labeled: Array[(TextSentenceLabels, TokenizedSentence)], log: (String) ⇒ Unit, extended: Boolean = false, nErrorsToPrint: Int = 0): Unit

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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. def predict(dataset: Array[TokenizedSentence]): Array[Array[String]]

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

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    Definition Classes
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  24. val tensorflow: TensorflowWrapper

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  25. def toString(): String

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    Definition Classes
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  26. def train(trainDataset: Array[(TextSentenceLabels, TokenizedSentence)], lr: Float, po: Float, batchSize: Int, dropout: Float, startEpoch: Int, endEpoch: Int, validation: Array[(TextSentenceLabels, TokenizedSentence)] = Array.empty, test: Array[(TextSentenceLabels, TokenizedSentence)] = Array.empty): Unit

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  27. val verboseLevel: nlp.annotators.ner.Verbose.Value

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    Definition Classes
    TensorflowNer → Logging

  28. final def wait(): Unit

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    @throws( ... )

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

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

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