BaggingRegressor

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 baseLearner: Param[EnsemblePredictorType]

   

   param for the estimator that will be used by the ensemble learner as a base learner

   param for the estimator that will be used by the ensemble learner as a base learner

   Definition Classes

   HasBaseLearner

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

   

   Definition Classes

   Params

8. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

9. def copy(extra: ParamMap): BaggingRegressor

   

   Definition Classes

   BaggingRegressor → 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[_]): BaggingRegressionModel

    

    Definition Classes

    Predictor → Estimator

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

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

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

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

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

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" ) @varargs()

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

    

    Definition Classes

    Params

26. def getBaseLearner: EnsemblePredictorType

    
    Definition Classes

    HasBaseLearner

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

    

    Definition Classes

    AnyRef → Any

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

    

    Definition Classes

    Params

29. final def getFeaturesCol: String

    

    Definition Classes

    HasFeaturesCol

30. final def getLabelCol: String

    

    Definition Classes

    HasLabelCol

31. final def getMaxIter: Int

    

    Definition Classes

    HasMaxIter

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 getReplacement: Boolean

    
    Definition Classes

    SubSpaceParams

37. def getReplacementFeatures: Boolean

    
    Definition Classes

    SubSpaceParams

38. def getSampleRatio: Double

    
    Definition Classes

    SubSpaceParams

39. def getSampleRatioFeatures: Double

    
    Definition Classes

    SubSpaceParams

40. final def getSeed: Long

    

    Definition Classes

    HasSeed

41. final def getWeightCol: String

    

    Definition Classes

    HasWeightCol

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

    

    Definition Classes

    Params

43. def hasParam(paramName: String): Boolean

    

    Definition Classes

    Params

44. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

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

    

    Attributes

    protected

    Definition Classes

    Logging

46. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Definition Classes

    Params

48. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

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

    

    Definition Classes

    Params

50. def isTraceEnabled(): Boolean

    

    Attributes

    protected

    Definition Classes

    Logging

51. final val labelCol: Param[String]

    

    Definition Classes

    HasLabelCol

52. def log: Logger

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

54. def logDebug(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

56. def logError(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

58. def logInfo(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

59. def logName: String

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

61. def logTrace(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

64. final val maxIter: IntParam

    

    Definition Classes

    HasMaxIter

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

    

    Definition Classes

    AnyRef

66. final def notify(): Unit

    

    Definition Classes

    AnyRef

67. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

68. val parallelism: IntParam

    

    Definition Classes

    HasParallelism

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

    

    Definition Classes

    Params

70. final val predictionCol: Param[String]

    

    Definition Classes

    HasPredictionCol

71. val replacement: Param[Boolean]

    

    param for whether samples are drawn with replacement

    param for whether samples are drawn with replacement

    Definition Classes

    SubSpaceParams

72. val replacementFeatures: Param[Boolean]

    

    param for whether samples are drawn with replacement

    param for whether samples are drawn with replacement

    Definition Classes

    SubSpaceParams

73. val sampleRatio: Param[Double]

    

    param for ratio of rows sampled out of the dataset

    param for ratio of rows sampled out of the dataset

    Definition Classes

    SubSpaceParams

74. val sampleRatioFeatures: Param[Double]

    

    param for ratio of rows sampled out of the dataset

    param for ratio of rows sampled out of the dataset

    Definition Classes

    SubSpaceParams

75. def save(path: String): Unit

    

    Definition Classes

    MLWritable

    Annotations

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

76. final val seed: LongParam

    

    Definition Classes

    HasSeed

77. final def set(paramPair: ParamPair[_]): BaggingRegressor.this.type

    

    Attributes

    protected

    Definition Classes

    Params

78. final def set(param: String, value: Any): BaggingRegressor.this.type

    

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    protected

    Definition Classes

    Params

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

    

    Definition Classes

    Params

80. def setBaseLearner(value: Predictor[_, _, _]): BaggingRegressor.this.type

    

81. final def setDefault(paramPairs: ParamPair[_]*): BaggingRegressor.this.type

    

    Attributes

    protected

    Definition Classes

    Params

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

    

    Attributes

    protected

    Definition Classes

    Params

83. def setFeaturesCol(value: String): BaggingRegressor

    

    Definition Classes

    Predictor

84. def setLabelCol(value: String): BaggingRegressor

    

    Definition Classes

    Predictor

85. def setMaxIter(value: Int): BaggingRegressor.this.type

    

86. def setParallelism(value: Int): BaggingRegressor.this.type

    

    Set the maximum level of parallelism to evaluate models in parallel.

    Set the maximum level of parallelism to evaluate models in parallel. Default is 1 for serial evaluation

87. def setPredictionCol(value: String): BaggingRegressor

    

    Definition Classes

    Predictor

88. def setReplacement(value: Boolean): BaggingRegressor.this.type

    

89. def setReplacementFeatures(value: Boolean): BaggingRegressor.this.type

    

90. def setSampleRatio(value: Double): BaggingRegressor.this.type

    

91. def setSampleRatioFeatures(value: Double): BaggingRegressor.this.type

    

92. def setWeightCol(value: String): BaggingRegressor.this.type

    

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

    

    Definition Classes

    AnyRef

94. def toString(): String

    

    Definition Classes

    Identifiable → AnyRef → Any

95. def train(dataset: Dataset[_]): BaggingRegressionModel

    

    Attributes

    protected

    Definition Classes

    BaggingRegressor → Predictor

96. def transformSchema(schema: StructType): StructType

    

    Definition Classes

    Predictor → PipelineStage

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

    

    Attributes

    protected

    Definition Classes

    PipelineStage

    Annotations

    @DeveloperApi()

98. val uid: String

    

    Definition Classes

    BaggingRegressor → Identifiable

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

    

    Attributes

    protected

    Definition Classes

    PredictorParams

100. final def wait(): Unit

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

103. final val weightCol: Param[String]

     

     Definition Classes

     HasWeightCol

104. def write: MLWriter

     

     Definition Classes

     BaggingRegressor → MLWritable