class TensorflowNer extends Serializable with Logging

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Logging, Serializable, Serializable, AnyRef, Any
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  1. TensorflowNer
  2. Logging
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Visibility
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Instance Constructors

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

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def calcStat(tp: Int, fp: Int, fn: Int): (Float, Float, Float)
  6. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  7. val encoder: NerDatasetEncoder
  8. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  9. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  10. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  12. def getLogName: String
    Definition Classes
    TensorflowNerLogging
  13. def getPiecesTags(tokenTags: Array[TextSentenceLabels], sentences: Array[WordpieceEmbeddingsSentence]): Array[Array[String]]
  14. def getPiecesTags(tokenTags: TextSentenceLabels, sentence: WordpieceEmbeddingsSentence): Array[String]
  15. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  16. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  17. def log(value: ⇒ String, minLevel: Level): Unit
    Attributes
    protected
    Definition Classes
    Logging
  18. val logger: Logger
    Attributes
    protected
    Definition Classes
    Logging
  19. def measure(labeled: Iterator[Array[(TextSentenceLabels, WordpieceEmbeddingsSentence)]], extended: Boolean = false, includeConfidence: Boolean = false, includeAllConfidenceScores: Boolean = false, enableOutputLogs: Boolean = false, outputLogsPath: String, batchSize: Int = 8, uuid: String = Identifiable.randomUID("annotator")): Unit
  20. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  21. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  22. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  23. def outputLog(value: ⇒ String, uuid: String, shouldLog: Boolean, outputLogsPath: String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  24. def predict(dataset: Array[WordpieceEmbeddingsSentence], configProtoBytes: Option[Array[Byte]] = None, includeConfidence: Boolean = false, includeAllConfidenceScores: Boolean, batchSize: Int = 8): Array[Array[(String, Option[Array[Map[String, String]]])]]
  25. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  26. def tagsForTokens(labels: Array[Array[(String, Option[Array[Map[String, String]]])]], pieces: Array[WordpieceEmbeddingsSentence]): Array[Array[(String, Option[Array[Map[String, String]]])]]
  27. def tagsForTokens(labels: Array[(String, Option[Array[Map[String, String]]])], pieces: WordpieceEmbeddingsSentence): Array[(String, Option[Array[Map[String, String]]])]
  28. val tensorflow: TensorflowWrapper
  29. def toString(): String
    Definition Classes
    AnyRef → Any
  30. def train(trainDataset: ⇒ Iterator[Array[(TextSentenceLabels, WordpieceEmbeddingsSentence)]], trainLength: Long, validDataset: ⇒ Iterator[Array[(TextSentenceLabels, WordpieceEmbeddingsSentence)]], validLength: Long, lr: Float, po: Float, dropout: Float, batchSize: Int = 8, startEpoch: Int = 0, endEpoch: Int, graphFileName: String = "", test: ⇒ Iterator[Array[(TextSentenceLabels, WordpieceEmbeddingsSentence)]] = Iterator.empty, configProtoBytes: Option[Array[Byte]] = None, validationSplit: Float = 0.0f, evaluationLogExtended: Boolean = false, includeConfidence: Boolean = false, enableOutputLogs: Boolean = false, outputLogsPath: String, uuid: String = Identifiable.randomUID("annotator")): Unit
  31. val verboseLevel: nlp.annotators.ner.Verbose.Value
    Definition Classes
    TensorflowNerLogging
  32. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  33. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  34. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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