Class

com.johnsnowlabs.ml.tensorflow

TensorflowSpell

Related Doc: package tensorflow

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class TensorflowSpell extends Logging with Serializable

Linear Supertypes
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. def clone(): AnyRef

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

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  7. val contextWordIds: String

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  8. val dropoutRate: String

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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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    Definition Classes
    AnyRef → Any
  11. def finalize(): Unit

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

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    Definition Classes
    AnyRef → Any
  13. def getLogName: String

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    Definition Classes
    Logging
  14. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  15. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  16. def log(value: ⇒ String, minLevel: Level): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  17. val logger: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  18. val lossKey: String

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  19. val losses: String

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  24. 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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  25. 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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  26. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  27. val tensorflow: TensorflowWrapper

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  28. val testCids: String

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  29. val testInitOp: String

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  30. val testWids: String

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  31. def toString(): String

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    Definition Classes
    AnyRef → Any
  32. val validWords: String

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

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    Definition Classes
    TensorflowSpell → Logging
  34. final def wait(): Unit

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  37. 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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