Class/Object

org.apache.spark.ml.classification.odkl

XGBoostClassifier

Related Docs: object XGBoostClassifier | package odkl

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class XGBoostClassifier extends Estimator[XGClassificationModelWrapper] with SummarizableEstimator[XGClassificationModelWrapper] with OkXGBoostClassifierParams with ProbabilisticClassifierParams with HasLossHistory with HasFeaturesSignificance with DefaultParamsWritable

Light weight wrapper for DMLC xgboost4j-spark. Optimizes defaults and provides rich summary extraction.

Linear Supertypes
DefaultParamsWritable, MLWritable, HasFeaturesSignificance, HasLossHistory, ProbabilisticClassifierParams, HasThresholds, HasProbabilityCol, ClassifierParams, HasRawPredictionCol, PredictorParams, HasLabelCol, OkXGBoostClassifierParams, OkXGBoostParams, HasPredictionCol, HasFeaturesCol, XGBoostClassifierParams, NonParamVariables, HasContribPredictionCol, HasLeafPredictionCol, ParamMapFuncs, HasNumClass, HasBaseMarginCol, HasWeightCol, BoosterParams, LearningTaskParams, GeneralParams, SummarizableEstimator[XGClassificationModelWrapper], Estimator[XGClassificationModelWrapper], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. XGBoostClassifier
  2. DefaultParamsWritable
  3. MLWritable
  4. HasFeaturesSignificance
  5. HasLossHistory
  6. ProbabilisticClassifierParams
  7. HasThresholds
  8. HasProbabilityCol
  9. ClassifierParams
  10. HasRawPredictionCol
  11. PredictorParams
  12. HasLabelCol
  13. OkXGBoostClassifierParams
  14. OkXGBoostParams
  15. HasPredictionCol
  16. HasFeaturesCol
  17. XGBoostClassifierParams
  18. NonParamVariables
  19. HasContribPredictionCol
  20. HasLeafPredictionCol
  21. ParamMapFuncs
  22. HasNumClass
  23. HasBaseMarginCol
  24. HasWeightCol
  25. BoosterParams
  26. LearningTaskParams
  27. GeneralParams
  28. SummarizableEstimator
  29. Estimator
  30. PipelineStage
  31. Logging
  32. Params
  33. Serializable
  34. Serializable
  35. Identifiable
  36. AnyRef
  37. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new XGBoostClassifier()

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  2. new XGBoostClassifier(uid: String)

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

  5. def MLlib2XGBoostParams: Map[String, Any]

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    Definition Classes
    ParamMapFuncs

  6. def XGBoostToMLlibParams(xgboostParams: Map[String, Any]): Unit

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    Definition Classes
    ParamMapFuncs

  7. val addRawTrees: BooleanParam

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    Definition Classes
    OkXGBoostParams

  8. val addSignificance: BooleanParam

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    Definition Classes
    OkXGBoostParams

  9. final val alpha: DoubleParam

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    Definition Classes
    BoosterParams

  10. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  11. val average: String

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    Definition Classes
    HasFeaturesSignificance

  12. final val baseMarginCol: Param[String]

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    Definition Classes
    HasBaseMarginCol

  13. final val baseScore: DoubleParam

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    Definition Classes
    LearningTaskParams

  14. final val cacheTrainingSet: BooleanParam

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    Definition Classes
    LearningTaskParams

  15. final val checkpointInterval: IntParam

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    Definition Classes
    GeneralParams

  16. final val checkpointPath: Param[String]

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    Definition Classes
    GeneralParams

  17. final def clear(param: Param[_]): XGBoostClassifier.this.type

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    Definition Classes
    Params

  18. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  19. final val colsampleBylevel: DoubleParam

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    Definition Classes
    BoosterParams

  20. final val colsampleBytree: DoubleParam

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    Definition Classes
    BoosterParams

  21. final val contribPredictionCol: Param[String]

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    Definition Classes
    HasContribPredictionCol

  22. def copy(extra: ParamMap): SummarizableEstimator[XGClassificationModelWrapper]

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    Definition Classes
    XGBoostClassifier → SummarizableEstimator → Estimator → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

  24. val count: String

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    Definition Classes
    HasFeaturesSignificance

  25. final val customEval: CustomEvalParam

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    Definition Classes
    GeneralParams

  26. final val customObj: CustomObjParam

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    Definition Classes
    GeneralParams

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

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    Attributes
    protected
    Definition Classes
    Params

  28. def densifyIfNeeded(dataset: Dataset[_]): Dataset[_]

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    Attributes
    protected
    Definition Classes
    OkXGBoostParams

  29. val densifyInput: BooleanParam

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    Definition Classes
    OkXGBoostParams

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

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    Definition Classes
    AnyRef

  31. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  32. final val eta: DoubleParam

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    Definition Classes
    BoosterParams

  33. final val evalMetric: Param[String]

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    Definition Classes
    LearningTaskParams

  34. var evalSetsMap: Map[String, DataFrame]

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    Attributes
    protected
    Definition Classes
    NonParamVariables

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

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    Definition Classes
    Params

  36. def explainParams(): String

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    Definition Classes
    Params

  37. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  39. val feature_index: String

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    Definition Classes
    HasFeaturesSignificance

  40. val feature_name: String

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    Definition Classes
    HasFeaturesSignificance

  41. final val featuresCol: Param[String]

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    Definition Classes
    HasFeaturesCol

  42. def featuresSignificance: Block

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    Definition Classes
    HasFeaturesSignificance

  43. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  44. def fit(dataset: Dataset[_]): XGClassificationModelWrapper

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    Definition Classes
    XGBoostClassifier → Estimator

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  46. def fit(dataset: Dataset[_], paramMap: ParamMap): XGClassificationModelWrapper

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()

  48. final val gamma: DoubleParam

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    Definition Classes
    BoosterParams

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

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    Definition Classes
    Params

  50. final def getAlpha: Double

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    Definition Classes
    BoosterParams

  51. final def getBaseMarginCol: String

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    Definition Classes
    HasBaseMarginCol

  52. final def getBaseScore: Double

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    Definition Classes
    LearningTaskParams

  53. final def getCheckpointInterval: Int

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    Definition Classes
    GeneralParams

  54. final def getCheckpointPath: String

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    Definition Classes
    GeneralParams

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

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    Definition Classes
    AnyRef → Any

  56. final def getColsampleBylevel: Double

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    Definition Classes
    BoosterParams

  57. final def getColsampleBytree: Double

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    Definition Classes
    BoosterParams

  58. final def getContribPredictionCol: String

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    Definition Classes
    HasContribPredictionCol

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

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    Definition Classes
    Params

  60. final def getEta: Double

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    Definition Classes
    BoosterParams

  61. final def getEvalMetric: String

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    Definition Classes
    LearningTaskParams

  62. def getEvalSets(params: Map[String, Any]): Map[String, DataFrame]

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    Definition Classes
    NonParamVariables

  63. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol

  64. final def getGamma: Double

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    Definition Classes
    BoosterParams

  65. final def getGrowPolicy: String

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    Definition Classes
    BoosterParams

  66. final def getInteractionConstraints: String

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    Definition Classes
    BoosterParams

  67. final def getLabelCol: String

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    Definition Classes
    HasLabelCol

  68. final def getLambda: Double

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    Definition Classes
    BoosterParams

  69. final def getLambdaBias: Double

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    Definition Classes
    BoosterParams

  70. final def getLeafPredictionCol: String

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    Definition Classes
    HasLeafPredictionCol

  71. final def getMaxBins: Int

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    Definition Classes
    BoosterParams

  72. final def getMaxDeltaStep: Double

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    Definition Classes
    BoosterParams

  73. final def getMaxDepth: Int

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    Definition Classes
    BoosterParams

  74. final def getMaxLeaves: Int

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    Definition Classes
    BoosterParams

  75. final def getMaximizeEvaluationMetrics: Boolean

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    Definition Classes
    LearningTaskParams

  76. final def getMinChildWeight: Double

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    Definition Classes
    BoosterParams

  77. final def getMissing: Float

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    Definition Classes
    GeneralParams

  78. final def getMonotoneConstraints: String

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    Definition Classes
    BoosterParams

  79. final def getNormalizeType: String

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    Definition Classes
    BoosterParams

  80. final def getNthread: Int

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    Definition Classes
    GeneralParams

  81. final def getNumClass: Int

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    Definition Classes
    HasNumClass

  82. final def getNumEarlyStoppingRounds: Int

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    Definition Classes
    LearningTaskParams

  83. final def getNumRound: Int

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    Definition Classes
    GeneralParams

  84. final def getNumWorkers: Int

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    Definition Classes
    GeneralParams

  85. final def getObjective: String

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    Definition Classes
    LearningTaskParams

  86. final def getObjectiveType: String

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    Definition Classes
    LearningTaskParams

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  89. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

  90. final def getProbabilityCol: String

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    Definition Classes
    HasProbabilityCol

  91. final def getRateDrop: Double

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    Definition Classes
    BoosterParams

  92. final def getRawPredictionCol: String

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    Definition Classes
    HasRawPredictionCol

  93. final def getSampleType: String

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    Definition Classes
    BoosterParams

  94. final def getScalePosWeight: Double

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    Definition Classes
    BoosterParams

  95. final def getSeed: Long

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    Definition Classes
    GeneralParams

  96. final def getSilent: Int

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    Definition Classes
    GeneralParams

  97. final def getSketchEps: Double

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    Definition Classes
    BoosterParams

  98. final def getSkipDrop: Double

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    Definition Classes
    BoosterParams

  99. final def getSubsample: Double

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    Definition Classes
    BoosterParams

  100. def getThresholds: Array[Double]

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    Definition Classes
    HasThresholds

  101. final def getTimeoutRequestWorkers: Long

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    Definition Classes
    GeneralParams

  102. final def getTrainTestRatio: Double

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    Definition Classes
    LearningTaskParams

  103. final def getTreeLimit: Int

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    Definition Classes
    BoosterParams

  104. final def getTreeMethod: String

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    Definition Classes
    BoosterParams

  105. final def getUseExternalMemory: Boolean

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    Definition Classes
    GeneralParams

  106. final def getVerbosity: Int

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    Definition Classes
    GeneralParams

  107. final def getWeightCol: String

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    Definition Classes
    HasWeightCol

  108. final val growPolicy: Param[String]

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    Definition Classes
    BoosterParams

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

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    Definition Classes
    Params

  110. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  111. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  113. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  114. final val interactionConstraints: Param[String]

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    Definition Classes
    BoosterParams

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

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    Definition Classes
    Params

  116. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  118. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  119. val iteration: String

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    Definition Classes
    HasLossHistory

  120. val label: String

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    Definition Classes
    HasLossHistory

  121. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol

  122. final val lambda: DoubleParam

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    Definition Classes
    BoosterParams

  123. final val lambdaBias: DoubleParam

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    Definition Classes
    BoosterParams

  124. final val leafPredictionCol: Param[String]

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    Definition Classes
    HasLeafPredictionCol

  125. def log: Logger

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    Attributes
    protected
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    Logging

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

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    protected
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    Logging

  127. def logDebug(msg: ⇒ String): Unit

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    Logging

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

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    Logging

  129. def logError(msg: ⇒ String): Unit

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    Logging

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

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    Logging

  131. def logInfo(msg: ⇒ String): Unit

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    Logging

  132. def logName: String

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    Logging

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

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    Logging

  134. def logTrace(msg: ⇒ String): Unit

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    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
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    Logging

  137. val loss: String

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    Definition Classes
    HasLossHistory

  138. val lossHistory: Block

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    Definition Classes
    HasLossHistory

  139. final val maxBins: IntParam

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    Definition Classes
    BoosterParams

  140. final val maxDeltaStep: DoubleParam

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    Definition Classes
    BoosterParams

  141. final val maxDepth: IntParam

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    Definition Classes
    BoosterParams

  142. final val maxLeaves: IntParam

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    Definition Classes
    BoosterParams

  143. final val maximizeEvaluationMetrics: BooleanParam

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    Definition Classes
    LearningTaskParams

  144. final val minChildWeight: DoubleParam

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    Definition Classes
    BoosterParams

  145. final val missing: FloatParam

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    Definition Classes
    GeneralParams

  146. final val monotoneConstraints: Param[String]

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    Definition Classes
    BoosterParams

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

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    Definition Classes
    AnyRef

  148. final val normalizeType: Param[String]

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    Definition Classes
    BoosterParams

  149. final def notify(): Unit

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    Definition Classes
    AnyRef

  150. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  151. final val nthread: IntParam

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    Definition Classes
    GeneralParams

  152. final val numClass: IntParam

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    Definition Classes
    HasNumClass

  153. final val numEarlyStoppingRounds: IntParam

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    Definition Classes
    LearningTaskParams

  154. final val numRound: IntParam

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    Definition Classes
    GeneralParams

  155. final val numWorkers: IntParam

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    Definition Classes
    GeneralParams

  156. final val objective: Param[String]

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    Definition Classes
    LearningTaskParams

  157. final val objectiveType: Param[String]

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    Definition Classes
    LearningTaskParams

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

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    Definition Classes
    Params

  159. val predictAsDouble: BooleanParam

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    Definition Classes
    OkXGBoostParams

  160. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  161. final val probabilityCol: Param[String]

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    Definition Classes
    HasProbabilityCol

  162. final val rateDrop: DoubleParam

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    Definition Classes
    BoosterParams

  163. final val rawPredictionCol: Param[String]

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    Definition Classes
    HasRawPredictionCol

  164. final val sampleType: Param[String]

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    Definition Classes
    BoosterParams

  165. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )

  166. final val scalePosWeight: DoubleParam

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    Definition Classes
    BoosterParams

  167. final val seed: LongParam

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    Definition Classes
    GeneralParams

  168. final def set(paramPair: ParamPair[_]): XGBoostClassifier.this.type

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    Params

  169. final def set(param: String, value: Any): XGBoostClassifier.this.type

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    Attributes
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    Params

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

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    Definition Classes
    Params

  171. def setAddRawTrees(value: Boolean): XGBoostClassifier.this.type

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    Definition Classes
    OkXGBoostParams

  172. def setAddSignificance(value: Boolean): XGBoostClassifier.this.type

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    Definition Classes
    OkXGBoostParams

  173. def setAlpha(value: Double): XGBoostClassifier.this.type

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  174. def setBaseMarginCol(value: String): XGBoostClassifier.this.type

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  175. def setBaseScore(value: Double): XGBoostClassifier.this.type

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  176. def setCheckpointInterval(value: Int): XGBoostClassifier.this.type

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  177. def setCheckpointPath(value: String): XGBoostClassifier.this.type

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  178. def setColsampleBylevel(value: Double): XGBoostClassifier.this.type

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  179. def setColsampleBytree(value: Double): XGBoostClassifier.this.type

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  180. def setCustomEval(value: EvalTrait): XGBoostClassifier.this.type

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  181. def setCustomEvaluation(value: EvalTrait): XGBoostClassifier.this.type

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  182. def setCustomObj(value: ObjectiveTrait): XGBoostClassifier.this.type

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  183. def setCustomObjective(value: ObjectiveTrait): XGBoostClassifier.this.type

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  184. final def setDefault(paramPairs: ParamPair[_]*): XGBoostClassifier.this.type

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    Params

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

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    Params

  186. def setDensifyInput(value: Boolean): XGBoostClassifier.this.type

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    Definition Classes
    OkXGBoostParams

  187. def setEta(value: Double): XGBoostClassifier.this.type

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  188. def setEvalMetric(value: String): XGBoostClassifier.this.type

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  189. def setEvalSets(evalSets: Map[String, DataFrame]): XGBoostClassifier.this.type

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    Definition Classes
    NonParamVariables

  190. def setFeatureCol(value: String): XGBoostClassifier.this.type

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  191. def setGamma(value: Double): XGBoostClassifier.this.type

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  192. def setGrowPolicy(value: String): XGBoostClassifier.this.type

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  193. def setLabelCol(value: String): XGBoostClassifier.this.type

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  194. def setLambda(value: Double): XGBoostClassifier.this.type

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  195. def setLambdaBias(value: Double): XGBoostClassifier.this.type

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  196. def setMaxBeens(value: Int): XGBoostClassifier.this.type

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  197. def setMaxBins(value: Int): XGBoostClassifier.this.type

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  198. def setMaxDeltaStep(value: Double): XGBoostClassifier.this.type

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  199. def setMaxDepth(value: Int): XGBoostClassifier.this.type

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  200. def setMinChildWeight(value: Double): XGBoostClassifier.this.type

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  201. def setMissing(value: Float): XGBoostClassifier.this.type

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  202. def setNormalizeType(value: String): XGBoostClassifier.this.type

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  203. def setNthread(value: Int): XGBoostClassifier.this.type

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  204. def setNumClass(value: Int): XGBoostClassifier.this.type

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  205. def setNumEarlyStoppingRounds(value: Int): XGBoostClassifier.this.type

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  206. def setNumRound(value: Int): XGBoostClassifier.this.type

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  207. def setNumRounds(value: Int): XGBoostClassifier.this.type

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  208. def setNumWorkers(value: Int): XGBoostClassifier.this.type

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  209. def setObjective(value: String): XGBoostClassifier.this.type

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  210. def setObjectiveType(value: String): XGBoostClassifier.this.type

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  211. def setPredictAsDouble(value: Boolean): XGBoostClassifier.this.type

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    Definition Classes
    OkXGBoostParams

  212. def setPredictionCol(value: String): XGBoostClassifier.this.type

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  213. def setRateDrop(value: Double): XGBoostClassifier.this.type

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  214. def setSampleType(value: String): XGBoostClassifier.this.type

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  215. def setScalePosWeight(value: Double): XGBoostClassifier.this.type

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  216. def setSeed(value: Long): XGBoostClassifier.this.type

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  217. def setSilent(value: Boolean): XGBoostClassifier.this.type

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  218. def setSilent(value: Int): XGBoostClassifier.this.type

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  219. def setSketchEps(value: Double): XGBoostClassifier.this.type

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  220. def setSkipDrop(value: Double): XGBoostClassifier.this.type

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  221. def setSubsample(value: Double): XGBoostClassifier.this.type

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  222. def setTimeoutRequestWorkers(value: Long): XGBoostClassifier.this.type

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  223. def setTrackerConf(workerConnectionTimeout: Long, trackerImpl: String): XGBoostClassifier.this.type

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  224. def setTrainTestRatio(value: Double): XGBoostClassifier.this.type

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  225. def setTrainTestRation(value: Double): XGBoostClassifier.this.type

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  226. def setTreeMethod(value: String): XGBoostClassifier.this.type

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  227. def setUseExternalMemory(value: Boolean): XGBoostClassifier.this.type

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  228. def setWeightCol(value: String): XGBoostClassifier.this.type

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  229. val significance: String

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    Definition Classes
    HasFeaturesSignificance

  230. final val silent: IntParam

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    Definition Classes
    GeneralParams

  231. final val sketchEps: DoubleParam

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    Definition Classes
    BoosterParams

  232. final val skipDrop: DoubleParam

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    Definition Classes
    BoosterParams

  233. val stdDev: String

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    Definition Classes
    HasFeaturesSignificance

  234. final val subsample: DoubleParam

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    Definition Classes
    BoosterParams

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

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    Definition Classes
    AnyRef

  236. val testLoss: String

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    Definition Classes
    HasLossHistory

  237. final val thresholds: DoubleArrayParam

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    Definition Classes
    HasThresholds

  238. final val timeoutRequestWorkers: LongParam

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    Definition Classes
    GeneralParams

  239. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  240. final val trackerConf: TrackerConfParam

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    Definition Classes
    GeneralParams

  241. final val trainTestRatio: DoubleParam

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    Definition Classes
    LearningTaskParams

  242. def transformSchema(schema: StructType): StructType

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    Definition Classes
    XGBoostClassifier → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  244. final val treeLimit: IntParam

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    Definition Classes
    BoosterParams

  245. final val treeMethod: Param[String]

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    Definition Classes
    BoosterParams

  246. val uid: String

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    Definition Classes
    XGBoostClassifier → Identifiable

  247. final val useExternalMemory: BooleanParam

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    Definition Classes
    GeneralParams

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

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    Attributes
    protected
    Definition Classes
    ProbabilisticClassifierParams → ClassifierParams → PredictorParams

  249. final val verbosity: IntParam

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    Definition Classes
    GeneralParams

  250. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  253. final val weightCol: Param[String]

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    Definition Classes
    HasWeightCol

  254. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from HasFeaturesSignificance

Inherited from HasLossHistory

Inherited from ProbabilisticClassifierParams

Inherited from HasThresholds

Inherited from HasProbabilityCol

Inherited from ClassifierParams

Inherited from HasRawPredictionCol

Inherited from PredictorParams

Inherited from HasLabelCol

Inherited from OkXGBoostClassifierParams

Inherited from OkXGBoostParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from XGBoostClassifierParams

Inherited from NonParamVariables

Inherited from HasContribPredictionCol

Inherited from HasLeafPredictionCol

Inherited from ParamMapFuncs

Inherited from HasNumClass

Inherited from HasBaseMarginCol

Inherited from HasWeightCol

Inherited from BoosterParams

Inherited from LearningTaskParams

Inherited from GeneralParams

Inherited from SummarizableEstimator[XGClassificationModelWrapper]

Inherited from Estimator[XGClassificationModelWrapper]

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped