Class

com.johnsnowlabs.ml.tensorflow

TensorflowSpell

Related Doc: package tensorflow

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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)

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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 checkPointStep: Int

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  6. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  7. val contextIds: String

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  8. val contextWordIds: String

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  9. val dropoutRate: String

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  10. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  12. val finalLearningRateKey: String

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  13. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  14. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  15. def getLogName: String

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    Definition Classes
    Logging
  16. val globalStepKey: String

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  17. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  18. val initKey: String

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  19. val initialLearningRateKey: String

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  20. val inputLens: String

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  21. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  22. val learningRate: String

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

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    Attributes
    protected
    Definition Classes
    Logging
  24. val logger: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  25. val lossKey: String

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  26. val losses: String

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

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    Definition Classes
    AnyRef
  28. final def notify(): Unit

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    Definition Classes
    AnyRef
  29. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  30. def outputLog(value: ⇒ String, uuid: String, shouldLog: Boolean, outputLogsPath: String): Unit

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    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]

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  32. def predict(dataset: Array[Array[Int]], cids: Array[Array[Int]], cwids: Array[Array[Int]], configProtoBytes: Option[Array[Byte]] = None): Iterator[Float]

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  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]

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

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    Definition Classes
    AnyRef
  35. val tensorflow: TensorflowWrapper

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  36. val testCids: String

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  37. val testWids: String

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  38. def toString(): String

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    Definition Classes
    AnyRef → Any
  39. def train(train: ⇒ Iterator[Array[LangModelSentence]], valid: ⇒ Iterator[Array[LangModelSentence]], epochs: Int, batchSize: Int, initialRate: Float, finalRate: Float): Unit

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  40. val updatesKey: String

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

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    Definition Classes
    TensorflowSpellLogging
  42. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  43. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  44. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  45. val wordIds: String

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Inherited from Serializable

Inherited from Serializable

Inherited from Logging

Inherited from AnyRef

Inherited from Any

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