c

com.johnsnowlabs.ml.tensorflow

TensorflowSpell

class TensorflowSpell extends Logging with Serializable

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Serializable, Serializable, Logging, AnyRef, Any
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Inherited
  1. TensorflowSpell
  2. Serializable
  3. Serializable
  4. Logging
  5. AnyRef
  6. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new TensorflowSpell(tensorflow: TensorflowWrapper, 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 checkPointStep: Int
  6. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  7. val contextIds: String
  8. val contextWordIds: String
  9. val dropoutRate: String
  10. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  12. val finalLearningRateKey: String
  13. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  14. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  15. def getLogName: String
    Definition Classes
    Logging
  16. val globalStepKey: String
  17. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  18. val initKey: String
  19. val initialLearningRateKey: String
  20. val inputLens: String
  21. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  22. val learningRate: String
  23. def log(value: ⇒ String, minLevel: Level): Unit
    Attributes
    protected
    Definition Classes
    Logging
  24. val logger: Logger
    Attributes
    protected
    Definition Classes
    Logging
  25. val lossKey: String
  26. val losses: String
  27. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  28. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  29. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  30. def outputLog(value: ⇒ String, uuid: String, shouldLog: Boolean, outputLogsPath: String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  31. def pplEachWord(dataset: Array[Array[Int]], cids: Array[Array[Int]], cwids: Array[Array[Int]], configProtoBytes: Option[Array[Byte]] = None): Array[Float]
  32. def predict(dataset: Array[Array[Int]], cids: Array[Array[Int]], cwids: Array[Array[Int]], configProtoBytes: Option[Array[Byte]] = None): Iterator[Float]
  33. def predict_(dataset: Array[Array[Int]], cids: Array[Array[Int]], cwids: Array[Array[Int]], candCids: Array[Int], candWids: Array[Int], configProtoBytes: Option[Array[Byte]] = None): List[Float]
  34. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  35. val tensorflow: TensorflowWrapper
  36. val testCids: String
  37. val testWids: String
  38. def toString(): String
    Definition Classes
    AnyRef → Any
  39. def train(train: ⇒ Iterator[Array[LangModelSentence]], valid: ⇒ Iterator[Array[LangModelSentence]], epochs: Int, batchSize: Int, initialRate: Float, finalRate: Float): Unit
  40. val updatesKey: String
  41. val verboseLevel: nlp.annotators.ner.Verbose.Value
    Definition Classes
    TensorflowSpellLogging
  42. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  43. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  44. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  45. val wordIds: String

Inherited from Serializable

Inherited from Serializable

Inherited from Logging

Inherited from AnyRef

Inherited from Any

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