GBMClassifier

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[_]): GBMClassifier.this.type

   

   Definition Classes

   Params

8. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

9. def copy(extra: ParamMap): GBMClassifier

   

   Definition Classes

   GBMClassifier → 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[_], numClasses: Int): RDD[LabeledPoint]

    

    Attributes

    protected

    Definition Classes

    Classifier

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

    

    Attributes

    protected

    Definition Classes

    Predictor

18. final def extractParamMap(): ParamMap

    

    Definition Classes

    Params

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

    

    Definition Classes

    Params

20. final val featuresCol: Param[String]

    

    Definition Classes

    HasFeaturesCol

21. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

22. def fit(dataset: Dataset[_]): GBMClassificationModel

    

    Definition Classes

    Predictor → Estimator

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

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

24. def fit(dataset: Dataset[_], paramMap: ParamMap): GBMClassificationModel

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" )

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

    

    Definition Classes

    Estimator

    Annotations

    @Since( "2.0.0" ) @varargs()

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

    

    Definition Classes

    Params

27. def getBaseLearner: EnsemblePredictorType

    
    Definition Classes

    HasBaseLearner

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. def getLearningRate: Double

    
    Definition Classes

    HasLearningRate

33. def getLoss: String

    
    Definition Classes

    GBMClassifierParams

34. final def getMaxIter: Int

    

    Definition Classes

    HasMaxIter

35. def getNumClasses(dataset: Dataset[_], maxNumClasses: Int): Int

    

    Attributes

    protected

    Definition Classes

    Classifier

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

    

    Definition Classes

    Params

37. def getParallelism: Int

    

    Definition Classes

    HasParallelism

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

    

    Definition Classes

    Params

39. final def getPredictionCol: String

    

    Definition Classes

    HasPredictionCol

40. final def getRawPredictionCol: String

    

    Definition Classes

    HasRawPredictionCol

41. final def getSeed: Long

    

    Definition Classes

    HasSeed

42. final def getTol: Double

    

    Definition Classes

    HasTol

43. final def getWeightCol: String

    

    Definition Classes

    HasWeightCol

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

    

    Definition Classes

    Params

45. def hasParam(paramName: String): Boolean

    

    Definition Classes

    Params

46. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

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

    

    Attributes

    protected

    Definition Classes

    Logging

48. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Definition Classes

    Params

50. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

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

    

    Definition Classes

    Params

52. def isTraceEnabled(): Boolean

    

    Attributes

    protected

    Definition Classes

    Logging

53. final val labelCol: Param[String]

    

    Definition Classes

    HasLabelCol

54. val learningRate: Param[Double]

    

    param for the learning rate of the algorithm

    param for the learning rate of the algorithm

    Definition Classes

    HasLearningRate

55. def log: Logger

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

57. def logDebug(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

59. def logError(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

61. def logInfo(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

62. def logName: String

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

64. def logTrace(msg: ⇒ String): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

67. val loss: Param[String]

    

    Loss function which Boosting tries to minimize.

    Loss function which Boosting tries to minimize. (case-insensitive) Supported: "lk". (default = lk)

    Definition Classes

    GBMClassifierParams

68. final val maxIter: IntParam

    

    Definition Classes

    HasMaxIter

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

    

    Definition Classes

    AnyRef

70. final def notify(): Unit

    

    Definition Classes

    AnyRef

71. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

72. val parallelism: IntParam

    

    Definition Classes

    HasParallelism

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

    

    Definition Classes

    Params

74. final val predictionCol: Param[String]

    

    Definition Classes

    HasPredictionCol

75. final val rawPredictionCol: Param[String]

    

    Definition Classes

    HasRawPredictionCol

76. def save(path: String): Unit

    

    Definition Classes

    MLWritable

    Annotations

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

77. final val seed: LongParam

    

    Definition Classes

    HasSeed

78. final def set(paramPair: ParamPair[_]): GBMClassifier.this.type

    

    Attributes

    protected

    Definition Classes

    Params

79. final def set(param: String, value: Any): GBMClassifier.this.type

    

    Attributes

    protected

    Definition Classes

    Params

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

    

    Definition Classes

    Params

81. def setBaseLearner(value: Predictor[_, _, _]): GBMClassifier.this.type

    

82. final def setDefault(paramPairs: ParamPair[_]*): GBMClassifier.this.type

    

    Attributes

    protected

    Definition Classes

    Params

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

    

    Attributes

    protected

    Definition Classes

    Params

84. def setFeaturesCol(value: String): GBMClassifier

    

    Definition Classes

    Predictor

85. def setLabelCol(value: String): GBMClassifier

    

    Definition Classes

    Predictor

86. def setLearningRate(value: Double): GBMClassifier.this.type

    

87. def setLoss(value: String): GBMClassifier.this.type

    

88. def setMaxIter(value: Int): GBMClassifier.this.type

    

89. def setPredictionCol(value: String): GBMClassifier

    

    Definition Classes

    Predictor

90. def setRawPredictionCol(value: String): GBMClassifier

    

    Definition Classes

    Classifier

91. def setWeightCol(value: String): GBMClassifier.this.type

    

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

    

    Definition Classes

    AnyRef

93. def toString(): String

    

    Definition Classes

    Identifiable → AnyRef → Any

94. final val tol: DoubleParam

    

    Definition Classes

    HasTol

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

    

    Attributes

    protected

    Definition Classes

    GBMClassifier → 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

    GBMClassifier → Identifiable

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

    

    Attributes

    protected

    Definition Classes

    ClassifierParams → 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

     GBMClassifier → MLWritable