Class

com.johnsnowlabs.ml.tensorflow

TensorflowText2SQL

Related Doc: package tensorflow

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class TensorflowText2SQL extends Serializable with Logging

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Logging, Serializable, Serializable, AnyRef, Any
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Inherited
  1. TensorflowText2SQL
  2. Logging
  3. Serializable
  4. Serializable
  5. AnyRef
  6. Any
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Visibility
  1. Public
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Instance Constructors

  1. new TensorflowText2SQL(model: TensorflowWrapper, verboseLevel: nlp.annotators.ner.Verbose.Value = Verbose.All, grammar: Grammar)

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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. final def eq(arg0: AnyRef): Boolean

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

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

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

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    Definition Classes
    AnyRef → Any
  10. def getLogName: String

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    Definition Classes
    TensorflowText2SQL → Logging
  11. def getTFModel: TensorflowWrapper

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  12. var grammar: Grammar

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  13. def hashCode(): Int

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  16. val logger: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  17. val model: TensorflowWrapper

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  22. def paddingSketch(sketch: ListBuffer[Action]): ListBuffer[Action]

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  23. def predict(srcEmbedding: Array[Array[Array[Float]]], tableEmbedding: Array[Array[Array[Float]]], schemaEmbedding: Array[Array[Array[Float]]], sentenceLengths: Array[Float], numCols: Int, numTables: Int, batchSize: Int = 1, beamSize: Int = 5, hiddenSize: Int = 300, decodeMaxTimeStep: Int = 40, schema: PreprocessedDB, question: ListBuffer[String], configProtoBytes: Option[Array[Byte]] = None): (String, String)

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

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    Definition Classes
    AnyRef
  25. def toString(): String

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    Definition Classes
    AnyRef → Any
  26. val verboseLevel: nlp.annotators.ner.Verbose.Value

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    Definition Classes
    TensorflowText2SQL → Logging
  27. final def wait(): Unit

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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