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c

com.johnsnowlabs.ml.tensorflow

TensorflowAssertion

class TensorflowAssertion extends Logging

Created by jose on 15/03/18.

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Logging, AnyRef, Any
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  1. TensorflowAssertion
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Visibility
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Instance Constructors

  1. new TensorflowAssertion(tensorflow: TensorflowWrapper, encoder: AssertionDatasetEncoder, batchSize: Int, 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. val batchSize: Int
  6. def calcStat(tp: Int, fp: Int, fn: Int): (Float, Float, Float)
  7. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  8. val encoder: AssertionDatasetEncoder
  9. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  10. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  11. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  12. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  13. def getLogName: String
    Definition Classes
    Logging
  14. def getPiecesTags(tokenTags: Array[TextSentenceLabels], sentences: Array[WordpieceEmbeddingsSentence]): Array[Array[String]]
  15. def getPiecesTags(tokenTags: TextSentenceLabels, sentence: WordpieceEmbeddingsSentence): Array[String]
  16. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  17. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  18. def log(value: ⇒ String, minLevel: Level): Unit
    Attributes
    protected
    Definition Classes
    Logging
  19. val logger: Logger
    Attributes
    protected
    Definition Classes
    Logging
  20. def measure(labeled: Array[(WordpieceEmbeddingsSentence, AssertionAnnotationWithLabel)], batchSize: Int = 100, outputLogsPath: String, embeddingsDim: Int, maxLen: Int, configProtoBytes: Option[Array[Byte]] = None, enableOutputLogs: Boolean = false, extended: Boolean = true, includeConfidence: Boolean = false, uuid: String = Identifiable.randomUID("annotator")): Unit
  21. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  22. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  23. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  24. def outputLog(value: ⇒ String, uuid: String, shouldLog: Boolean, outputLogsPath: String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  25. def predict(chunks: Array[IndexedChunk], maxLen: Int, embeddingsDim: Int, configProtoBytes: Option[Array[Byte]] = None, includeConfidence: Boolean = false): Array[AssertionAnnotationWithLabel]
  26. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  27. def tagsForTokens(labels: Array[Array[(String, Option[Double])]], pieces: Array[WordpieceEmbeddingsSentence]): Array[Array[(String, Option[Double])]]
  28. def tagsForTokens(labels: Array[(String, Option[Double])], pieces: WordpieceEmbeddingsSentence): Array[(String, Option[Double])]
  29. val tensorflow: TensorflowWrapper
  30. def toString(): String
    Definition Classes
    AnyRef → Any
  31. def train(trainDataset: Array[(WordpieceEmbeddingsSentence, AssertionAnnotationWithLabel)], lr: Float, batchSize: Int, dropout: Float, startEpoch: Int, endEpoch: Int, maxLen: Int, embeddingsDim: Int, graphFileName: String = "", test: Array[(WordpieceEmbeddingsSentence, AssertionAnnotationWithLabel)] = Array.empty, configProtoBytes: Option[Array[Byte]] = None, validationSplit: Float = 0.0f, includeConfidence: Boolean = false, enableOutputLogs: Boolean = false, outputLogsPath: String, uuid: String = Identifiable.randomUID("annotator")): Unit
  32. val verboseLevel: nlp.annotators.ner.Verbose.Value
    Definition Classes
    TensorflowAssertion → Logging
  33. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  34. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  35. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Logging

Inherited from AnyRef

Inherited from Any

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