RecursivePipeline

Value Members

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

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

   AnyRef → Any

3. final def $[T](param: Param[T]): T

   

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

   

   Definition Classes

   AnyRef → Any

5. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

6. final def clear(param: Param[_]): RecursivePipeline.this.type

   

   Definition Classes

   Params

7. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

8. def copy(extra: ParamMap): Pipeline

   

   Definition Classes

   Pipeline → Estimator → PipelineStage → Params

   Annotations

   @Since( "1.4.0" )

9. def copyValues[T <: Params](to: T, extra: ParamMap): T

   

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10. final def defaultCopy[T <: Params](extra: ParamMap): T

    

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

    

    Definition Classes

    AnyRef

12. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

13. def explainParam(param: Param[_]): String

    

    Definition Classes

    Params

14. def explainParams(): String

    

    Definition Classes

    Params

15. final def extractParamMap(): ParamMap

    

    Definition Classes

    Params

16. final def extractParamMap(extra: ParamMap): ParamMap

    

    Definition Classes

    Params

17. def finalize(): Unit

    

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    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

18. def fit(dataset: Dataset[_]): PipelineModel

    

    Code Duplication for Spark ML.

    Code Duplication for Spark ML. This is not a good practice, but stages logic is tightly coupled on fit and PipelineModel is private[ml]

    Definition Classes

    RecursivePipeline → Pipeline → Estimator

19. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[PipelineModel]

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

20. def fit(dataset: Dataset[_], paramMap: ParamMap): PipelineModel

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

21. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): PipelineModel

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" ) @varargs()

22. final def get[T](param: Param[T]): Option[T]

    

    Definition Classes

    Params

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

    

    Definition Classes

    AnyRef → Any

24. final def getDefault[T](param: Param[T]): Option[T]

    

    Definition Classes

    Params

25. final def getOrDefault[T](param: Param[T]): T

    

    Definition Classes

    Params

26. def getParam(paramName: String): Param[Any]

    

    Definition Classes

    Params

27. def getStages: Array[PipelineStage]

    

    Definition Classes

    Pipeline

    Annotations

    @Since( "1.2.0" )

28. final def hasDefault[T](param: Param[T]): Boolean

    

    Definition Classes

    Params

29. def hasParam(paramName: String): Boolean

    

    Definition Classes

    Params

30. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

31. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

    

    Attributes

    protected

    Definition Classes

    Logging

32. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

33. final def isDefined(param: Param[_]): Boolean

    

    Definition Classes

    Params

34. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

35. final def isSet(param: Param[_]): Boolean

    

    Definition Classes

    Params

36. def isTraceEnabled(): Boolean

    

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    Logging

37. def log: Logger

    

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    Logging

38. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

    

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    Definition Classes

    Logging

39. def logDebug(msg: ⇒ String): Unit

    

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    Logging

40. def logError(msg: ⇒ String, throwable: Throwable): Unit

    

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    Definition Classes

    Logging

41. def logError(msg: ⇒ String): Unit

    

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    Logging

42. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

    

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    Logging

43. def logInfo(msg: ⇒ String): Unit

    

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    Logging

44. def logName: String

    

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    Logging

45. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

    

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    Definition Classes

    Logging

46. def logTrace(msg: ⇒ String): Unit

    

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    Definition Classes

    Logging

47. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

    

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    Definition Classes

    Logging

48. def logWarning(msg: ⇒ String): Unit

    

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    Logging

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

    

    Definition Classes

    AnyRef

50. final def notify(): Unit

    

    Definition Classes

    AnyRef

51. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

52. lazy val params: Array[Param[_]]

    

    Definition Classes

    Params

53. def save(path: String): Unit

    

    Definition Classes

    MLWritable

    Annotations

    @Since( "1.6.0" ) @throws( ... )

54. final def set(paramPair: ParamPair[_]): RecursivePipeline.this.type

    

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    Definition Classes

    Params

55. final def set(param: String, value: Any): RecursivePipeline.this.type

    

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    protected

    Definition Classes

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56. final def set[T](param: Param[T], value: T): RecursivePipeline.this.type

    

    Definition Classes

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57. final def setDefault(paramPairs: ParamPair[_]*): RecursivePipeline.this.type

    

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58. final def setDefault[T](param: Param[T], value: T): RecursivePipeline.this.type

    

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    Definition Classes

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59. def setStages(value: Array[_ <: PipelineStage]): RecursivePipeline.this.type

    

    Definition Classes

    Pipeline

    Annotations

    @Since( "1.2.0" )

60. val stages: Param[Array[PipelineStage]]

    

    Definition Classes

    Pipeline

    Annotations

    @Since( "1.2.0" )

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

    

    Definition Classes

    AnyRef

62. def toString(): String

    

    Definition Classes

    Identifiable → AnyRef → Any

63. def transformSchema(schema: StructType): StructType

    

    Definition Classes

    Pipeline → PipelineStage

    Annotations

    @Since( "1.2.0" )

64. def transformSchema(schema: StructType, logging: Boolean): StructType

    

    Attributes

    protected

    Definition Classes

    PipelineStage

    Annotations

    @DeveloperApi()

65. val uid: String

    

    Definition Classes

    RecursivePipeline → Pipeline → Identifiable

66. final def wait(): Unit

    

    Definition Classes

    AnyRef

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    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

69. def write: MLWriter

    

    Definition Classes

    Pipeline → MLWritable

    Annotations

    @Since( "1.6.0" )