Class

com.johnsnowlabs.ml.tensorflow

TensorflowNer

Related Doc: package tensorflow

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class TensorflowNer extends Logging

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Logging, AnyRef, Any
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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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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  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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    Definition Classes
    AnyRef

  10. def equals(arg0: Any): Boolean

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    AnyRef → Any

  11. def finalize(): Unit

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

  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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    Definition Classes
    Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  16. val logger: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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

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    Definition Classes
    AnyRef

  19. final def notify(): Unit

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    AnyRef

  20. final def notifyAll(): Unit

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

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

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    Definition Classes
    AnyRef

  23. val tensorflow: TensorflowWrapper

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  24. def toString(): String

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    Definition Classes
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  25. 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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  26. val verboseLevel: nlp.annotators.ner.Verbose.Value

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    Definition Classes
    TensorflowNer → Logging

  27. final def wait(): Unit

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    Annotations
    @throws( ... )

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

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    @throws( ... )

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

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    @throws( ... )

Inherited from Logging

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