StackingRegressor

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

   

   Attributes

   protected

   Definition Classes

   Params

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

   

   Definition Classes

   AnyRef → Any

5. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

6. val baseLearners: Param[Array[EnsemblePredictorType]]

   

   param for the estimators that will be used by the ensemble learner as base learners

   param for the estimators that will be used by the ensemble learner as base learners

   Definition Classes

   HasBaseLearners

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

   

   Definition Classes

   Params

8. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

9. def copy(extra: ParamMap): StackingRegressor

   

   Definition Classes

   StackingRegressor → Predictor → Estimator → PipelineStage → Params

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

    

    Attributes

    protected

    Definition Classes

    Params

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

    

    Attributes

    protected

    Definition Classes

    Params

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

    

    Definition Classes

    AnyRef

13. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

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

    

    Definition Classes

    Params

15. def explainParams(): String

    

    Definition Classes

    Params

16. def extractLabeledPoints(dataset: Dataset[_]): RDD[LabeledPoint]

    

    Attributes

    protected

    Definition Classes

    Predictor

17. final def extractParamMap(): ParamMap

    

    Definition Classes

    Params

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

    

    Definition Classes

    Params

19. final val featuresCol: Param[String]

    

    Definition Classes

    HasFeaturesCol

20. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

21. def fit(dataset: Dataset[_]): StackingRegressionModel

    

    Definition Classes

    Predictor → Estimator

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

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

23. def fit(dataset: Dataset[_], paramMap: ParamMap): StackingRegressionModel

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

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

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" ) @varargs()

25. def fitBaseLearner(baseLearner: EnsemblePredictorType, labelColName: String, featuresColName: String, predictionColName: String, weightColName: Option[String])(df: DataFrame): EnsemblePredictionModelType

    

    Definition Classes

    HasBaseLearners

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

    

    Definition Classes

    Params

27. def getBaseLearners: Array[EnsemblePredictorType]

    
    Definition Classes

    HasBaseLearners

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

    

    Definition Classes

    AnyRef → Any

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

    

    Definition Classes

    Params

30. final def getFeaturesCol: String

    

    Definition Classes

    HasFeaturesCol

31. final def getLabelCol: String

    

    Definition Classes

    HasLabelCol

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

    

    Definition Classes

    Params

33. def getParallelism: Int

    

    Definition Classes

    HasParallelism

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

    

    Definition Classes

    Params

35. final def getPredictionCol: String

    

    Definition Classes

    HasPredictionCol

36. def getStacker: EnsemblePredictorType

    
    Definition Classes

    HasStacker

37. final def getWeightCol: String

    

    Definition Classes

    HasWeightCol

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

    

    Definition Classes

    Params

39. def hasParam(paramName: String): Boolean

    

    Definition Classes

    Params

40. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

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

    

    Attributes

    protected

    Definition Classes

    Logging

42. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Definition Classes

    Params

44. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

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

    

    Definition Classes

    Params

46. def isTraceEnabled(): Boolean

    

    Attributes

    protected

    Definition Classes

    Logging

47. final val labelCol: Param[String]

    

    Definition Classes

    HasLabelCol

48. def log: Logger

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

50. def logDebug(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

52. def logError(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

54. def logInfo(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

55. def logName: String

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

57. def logTrace(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Definition Classes

    AnyRef

61. final def notify(): Unit

    

    Definition Classes

    AnyRef

62. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

63. val parallelism: IntParam

    

    Definition Classes

    HasParallelism

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

    

    Definition Classes

    Params

65. final val predictionCol: Param[String]

    

    Definition Classes

    HasPredictionCol

66. def save(path: String): Unit

    

    Definition Classes

    MLWritable

    Annotations

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

67. final def set(paramPair: ParamPair[_]): StackingRegressor.this.type

    

    Attributes

    protected

    Definition Classes

    Params

68. final def set(param: String, value: Any): StackingRegressor.this.type

    

    Attributes

    protected

    Definition Classes

    Params

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

    

    Definition Classes

    Params

70. def setBaseLearners(value: Array[Predictor[_, _, _]]): StackingRegressor.this.type

    

71. final def setDefault(paramPairs: ParamPair[_]*): StackingRegressor.this.type

    

    Attributes

    protected

    Definition Classes

    Params

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

    

    Attributes

    protected

    Definition Classes

    Params

73. def setFeaturesCol(value: String): StackingRegressor

    

    Definition Classes

    Predictor

74. def setLabelCol(value: String): StackingRegressor

    

    Definition Classes

    Predictor

75. def setParallelism(value: Int): StackingRegressor.this.type

    

76. def setPredictionCol(value: String): StackingRegressor

    

    Definition Classes

    Predictor

77. def setStacker(value: Predictor[_, _, _]): StackingRegressor.this.type

    

78. val stacker: Param[EnsemblePredictorType]

    

    param for the estimator that will be used by the ensemble learner to aggregate results of base learner(s)

    param for the estimator that will be used by the ensemble learner to aggregate results of base learner(s)

    Definition Classes

    HasStacker

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

    

    Definition Classes

    AnyRef

80. def toString(): String

    

    Definition Classes

    Identifiable → AnyRef → Any

81. def train(dataset: Dataset[_]): StackingRegressionModel

    

    Attributes

    protected

    Definition Classes

    StackingRegressor → Predictor

82. def transformSchema(schema: StructType): StructType

    

    Definition Classes

    Predictor → PipelineStage

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

    

    Attributes

    protected

    Definition Classes

    PipelineStage

    Annotations

    @DeveloperApi()

84. val uid: String

    

    Definition Classes

    StackingRegressor → Identifiable

85. def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType

    

    Attributes

    protected

    Definition Classes

    PredictorParams

86. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

89. final val weightCol: Param[String]

    

    Definition Classes

    HasWeightCol

90. def write: MLWriter

    

    Definition Classes

    StackingRegressor → MLWritable