DataframeModeler

Value Members

1. final def !=(arg0: Any): Boolean

   

   Definition Classes

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. def accumulate(buffer: DeltaSet[UUID], layers: Seq[Layer], representationKeys: List[String], transformKeys: Seq[String])(uuid: UUID, delta: Array[Double]): Unit

   

5. final def asInstanceOf[T0]: T0

   

   Definition Classes

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6. def asTrainable(dataFrames: DataFrame*)(layers: Layer*)(implicit sparkSession: SparkSession): ArrayTrainable

   

7. def child(name: String): DataframeModeler

   

8. def clone(): AnyRef

   

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   protected[java.lang]

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   @throws( ... )

9. def convertToResults(field: DataType, data: ⇒ Seq[_]): Result

   

10. val ctx: ModelingData

    

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

    

    Definition Classes

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12. def eval(dataFrames: DataFrame*)(layers: Layer*)(implicit sparkSession: SparkSession): Result

    

13. def evalToDataframe(dataFrames: DataFrame*)(name: String, layers: Layer*)(implicit sparkSession: SparkSession): DataFrame

    

14. def evaluateRepresentations(values: Seq[Any]): Result

    

15. def finalize(): Unit

    

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    protected[java.lang]

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    @throws( classOf[java.lang.Throwable] )

16. def findLayer(layers: Seq[Layer], uuid: UUID): Option[Layer]

    

17. final def getClass(): Class[_]

    

    Definition Classes

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18. def getMoments(doubles: Double*): Array[Double]

    

19. def getRepresentation(key: String): Tensor

    

20. def getRepresentationKeys(field: DataType, data: Seq[_]): Seq[String]

    

21. def getStats(doubles: Double*): (Double, Double, Double)

    

22. def getTransform(key: String, stats: ⇒ (Double, Double, Double)): Layer

    

23. def getTransformKeys(field: DataType, data: Seq[_]): Seq[(String, Array[Double])]

    

24. def initKeys(dataFrames: DataFrame*): (List[String], Array[String])

    

25. final def isInstanceOf[T0]: Boolean

    

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26. lazy val logger: Logger

    

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    protected[this]

    Definition Classes

    Logging

27. def momentsToStats(moments: Array[Double]): (Double, Double, Double)

    

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

    

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29. final def notify(): Unit

    

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30. final def notifyAll(): Unit

    

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31. val path: String

    

32. def print(uuidToDoubles: Map[UUID, Array[Double]], layers: Seq[Layer], keys: Seq[String], transformKeys: Seq[String], header: String): Unit

    

33. val strategy: ModelingStrategy

    

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

    

    Definition Classes

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35. def transformScalars(doubles: Seq[Double]): Result

    

36. def uuidMap(keys: Seq[String]): Map[UUID, String]

    

37. final def wait(): Unit

    

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38. final def wait(arg0: Long, arg1: Int): Unit

    

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39. final def wait(arg0: Long): Unit

    

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40. def zipLocal[T](seq: Seq[T]*)(implicit arg0: ClassTag[T]): Seq[Seq[T]]