RankingTrainValidationSplitModel

Value Members

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

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

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

   

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

   

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5. final def asInstanceOf[T0]: T0

   

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   Any

6. val bestModel: TransformerParam

   

7. final def clear(param: Param[_]): RankingTrainValidationSplitModel.this.type

   

   Definition Classes

   Params

8. def clone(): AnyRef

   

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   protected[java.lang]

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   @throws( ... )

9. def copy(extra: ParamMap): RankingTrainValidationSplitModel

   

   Definition Classes

   RankingTrainValidationSplitModel → Model → Transformer → PipelineStage → Params

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

    

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

    

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

    

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    AnyRef

13. def equals(arg0: Any): Boolean

    

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    AnyRef → Any

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

    

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15. def explainParams(): String

    

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16. final def extractParamMap(): ParamMap

    

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

    

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18. def finalize(): Unit

    

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    protected[java.lang]

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

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

    

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    Params

20. def getBestModel: Model[_]

    

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

    

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    AnyRef → Any

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

    

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    Params

23. def getMetrics: Array[Double]

    

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

    

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

    

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

    

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27. def hasParam(paramName: String): Boolean

    

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    Params

28. def hasParent: Boolean

    

    Definition Classes

    Model

29. def hasSubMetrics: Boolean

    

30. def hasSubModels: Boolean

    

31. def hashCode(): Int

    

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    AnyRef → Any

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

    

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    Logging

33. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    

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    Logging

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

    

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35. final def isInstanceOf[T0]: Boolean

    

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

    

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37. def isTraceEnabled(): Boolean

    

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    Logging

38. def log: Logger

    

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    Logging

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

    

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    Logging

40. def logDebug(msg: ⇒ String): Unit

    

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    Logging

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

    

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    Logging

42. def logError(msg: ⇒ String): Unit

    

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    Logging

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

    

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44. def logInfo(msg: ⇒ String): Unit

    

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    Logging

45. def logName: String

    

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    Logging

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

    

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    Logging

47. def logTrace(msg: ⇒ String): Unit

    

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    Logging

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

    

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    Logging

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

    

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50. val metrics: DoubleArrayParam

    

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

    

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52. final def notify(): Unit

    

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53. final def notifyAll(): Unit

    

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

    

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    Params

55. var parent: Estimator[RankingTrainValidationSplitModel]

    

    Definition Classes

    Model

56. def recommendForAllItems(k: Int): DataFrame

    

57. def recommendForAllUsers(k: Int): DataFrame

    

58. def save(path: String): Unit

    

    Definition Classes

    MLWritable

    Annotations

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

59. final def set(paramPair: ParamPair[_]): RankingTrainValidationSplitModel.this.type

    

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60. final def set(param: String, value: Any): RankingTrainValidationSplitModel.this.type

    

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

    

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62. def setBestModel(m: Model[_]): RankingTrainValidationSplitModel.this.type

    

63. final def setDefault(paramPairs: ParamPair[_]*): RankingTrainValidationSplitModel.this.type

    

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

    

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65. def setMetrics(m: Array[Double]): RankingTrainValidationSplitModel.this.type

    

66. def setParent(parent: Estimator[RankingTrainValidationSplitModel]): RankingTrainValidationSplitModel

    

    Definition Classes

    Model

67. def subMetrics: Array[Map[String, Double]]

    
    returns

    submodels represented in array. The index of array corresponds to the ordering of estimatorParamMaps

68. def subModels: Array[Model[_]]

    
    returns

    submodels represented in array. The index of array corresponds to the ordering of estimatorParamMaps

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

    

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    AnyRef

70. def toString(): String

    

    Definition Classes

    Identifiable → AnyRef → Any

71. def transform(dataset: Dataset[_]): DataFrame

    

    Definition Classes

    RankingTrainValidationSplitModel → Transformer

72. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

    

    Definition Classes

    Transformer

    Annotations

    @Since( "2.0.0" )

73. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

    

    Definition Classes

    Transformer

    Annotations

    @Since( "2.0.0" ) @varargs()

74. def transformSchema(schema: StructType): StructType

    

    Definition Classes

    RankingTrainValidationSplitModel → PipelineStage

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

    

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    PipelineStage

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    @DeveloperApi()

76. val uid: String

    

    Id.

    Id.

    Definition Classes

    RankingTrainValidationSplitModel → Identifiable

77. final def wait(): Unit

    

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    @throws( ... )

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

    

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

    

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    @throws( ... )

80. def write: MLWriter

    

    Definition Classes

    ComplexParamsWritable → MLWritable