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, XGBoostEstimatorCommon, NonParamVariables, ParamMapFuncs, RabitParams, BoosterParams, LearningTaskParams, GeneralParams, HasContribPredictionCol, HasLeafPredictionCol, HasNumClass, HasBaseMarginCol, HasWeightCol, 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. XGBoostEstimatorCommon
  19. NonParamVariables
  20. ParamMapFuncs
  21. RabitParams
  22. BoosterParams
  23. LearningTaskParams
  24. GeneralParams
  25. HasContribPredictionCol
  26. HasLeafPredictionCol
  27. HasNumClass
  28. HasBaseMarginCol
  29. HasWeightCol
  30. SummarizableEstimator
  31. Estimator
  32. PipelineStage
  33. Logging
  34. Params
  35. Serializable
  36. Serializable
  37. Identifiable
  38. AnyRef
  39. 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 XGBoost2MLlibParams(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 allowNonZeroForMissing: BooleanParam

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    Definition Classes
    GeneralParams

  10. final val alpha: DoubleParam

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    Definition Classes
    BoosterParams

  11. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  12. val average: String

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    Definition Classes
    HasFeaturesSignificance

  13. final val baseMarginCol: Param[String]

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    Definition Classes
    HasBaseMarginCol

  14. final val baseScore: DoubleParam

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    Definition Classes
    LearningTaskParams

  15. final val cacheTrainingSet: BooleanParam

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    Definition Classes
    LearningTaskParams

  16. final val checkpointInterval: IntParam

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    Definition Classes
    GeneralParams

  17. final val checkpointPath: Param[String]

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    Definition Classes
    GeneralParams

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

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    Definition Classes
    Params

  19. def clone(): AnyRef

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

  20. final val colsampleBylevel: DoubleParam

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    Definition Classes
    BoosterParams

  21. final val colsampleBytree: DoubleParam

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    Definition Classes
    BoosterParams

  22. final val contribPredictionCol: Param[String]

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    Definition Classes
    HasContribPredictionCol

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

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    Definition Classes
    XGBoostClassifier → SummarizableEstimator → Estimator → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

  25. val count: String

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    Definition Classes
    HasFeaturesSignificance

  26. final val customEval: CustomEvalParam

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    Definition Classes
    GeneralParams

  27. final val customObj: CustomObjParam

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    Definition Classes
    GeneralParams

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    OkXGBoostParams

  30. val densifyInput: BooleanParam

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    Definition Classes
    OkXGBoostParams

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

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    Definition Classes
    AnyRef

  32. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  33. final val eta: DoubleParam

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    Definition Classes
    BoosterParams

  34. final val evalMetric: Param[String]

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    Definition Classes
    LearningTaskParams

  35. var evalSetsMap: Map[String, DataFrame]

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    Attributes
    protected
    Definition Classes
    NonParamVariables

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

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    Definition Classes
    Params

  37. def explainParams(): String

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    Definition Classes
    Params

  38. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  40. val feature_index: String

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    Definition Classes
    HasFeaturesSignificance

  41. val feature_name: String

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    Definition Classes
    HasFeaturesSignificance

  42. final val featuresCol: Param[String]

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    Definition Classes
    HasFeaturesCol

  43. def featuresSignificance: Block

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    Definition Classes
    HasFeaturesSignificance

  44. def finalize(): Unit

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

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

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    Definition Classes
    XGBoostClassifier → Estimator

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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

  49. final val gamma: DoubleParam

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    Definition Classes
    BoosterParams

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

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    Definition Classes
    Params

  51. final def getAllowNonZeroForMissingValue: Boolean

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    Definition Classes
    GeneralParams

  52. final def getAlpha: Double

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    Definition Classes
    BoosterParams

  53. final def getBaseMarginCol: String

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    Definition Classes
    HasBaseMarginCol

  54. final def getBaseScore: Double

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    Definition Classes
    LearningTaskParams

  55. final def getCheckpointInterval: Int

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    Definition Classes
    GeneralParams

  56. final def getCheckpointPath: String

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    Definition Classes
    GeneralParams

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

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    Definition Classes
    AnyRef → Any

  58. final def getColsampleBylevel: Double

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    Definition Classes
    BoosterParams

  59. final def getColsampleBytree: Double

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    Definition Classes
    BoosterParams

  60. final def getContribPredictionCol: String

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    Definition Classes
    HasContribPredictionCol

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

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    Definition Classes
    Params

  62. final def getEta: Double

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    Definition Classes
    BoosterParams

  63. final def getEvalMetric: String

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    Definition Classes
    LearningTaskParams

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

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    Definition Classes
    NonParamVariables

  65. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol

  66. final def getGamma: Double

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    Definition Classes
    BoosterParams

  67. final def getGrowPolicy: String

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    Definition Classes
    BoosterParams

  68. final def getInteractionConstraints: String

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    Definition Classes
    BoosterParams

  69. final def getLabelCol: String

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    Definition Classes
    HasLabelCol

  70. final def getLambda: Double

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    Definition Classes
    BoosterParams

  71. final def getLambdaBias: Double

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    Definition Classes
    BoosterParams

  72. final def getLeafPredictionCol: String

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    Definition Classes
    HasLeafPredictionCol

  73. final def getMaxBins: Int

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    Definition Classes
    BoosterParams

  74. final def getMaxDeltaStep: Double

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    Definition Classes
    BoosterParams

  75. final def getMaxDepth: Int

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    Definition Classes
    BoosterParams

  76. final def getMaxLeaves: Int

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    Definition Classes
    BoosterParams

  77. final def getMaximizeEvaluationMetrics: Boolean

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    Definition Classes
    LearningTaskParams

  78. final def getMinChildWeight: Double

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    Definition Classes
    BoosterParams

  79. final def getMissing: Float

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    Definition Classes
    GeneralParams

  80. final def getMonotoneConstraints: String

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    Definition Classes
    BoosterParams

  81. final def getNormalizeType: String

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    Definition Classes
    BoosterParams

  82. final def getNthread: Int

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    Definition Classes
    GeneralParams

  83. final def getNumClass: Int

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    Definition Classes
    HasNumClass

  84. final def getNumEarlyStoppingRounds: Int

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    Definition Classes
    LearningTaskParams

  85. final def getNumRound: Int

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    Definition Classes
    GeneralParams

  86. final def getNumWorkers: Int

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    Definition Classes
    GeneralParams

  87. final def getObjective: String

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    Definition Classes
    LearningTaskParams

  88. final def getObjectiveType: String

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    Definition Classes
    LearningTaskParams

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  91. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

  92. final def getProbabilityCol: String

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    Definition Classes
    HasProbabilityCol

  93. final def getRateDrop: Double

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    Definition Classes
    BoosterParams

  94. final def getRawPredictionCol: String

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    Definition Classes
    HasRawPredictionCol

  95. final def getSampleType: String

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    Definition Classes
    BoosterParams

  96. final def getScalePosWeight: Double

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    Definition Classes
    BoosterParams

  97. final def getSeed: Long

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    Definition Classes
    GeneralParams

  98. final def getSilent: Int

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    Definition Classes
    GeneralParams

  99. final def getSketchEps: Double

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    Definition Classes
    BoosterParams

  100. final def getSkipDrop: Double

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    Definition Classes
    BoosterParams

  101. final def getSubsample: Double

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    Definition Classes
    BoosterParams

  102. def getThresholds: Array[Double]

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    Definition Classes
    HasThresholds

  103. final def getTimeoutRequestWorkers: Long

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    Definition Classes
    GeneralParams

  104. final def getTrainTestRatio: Double

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    Definition Classes
    LearningTaskParams

  105. final def getTreeLimit: Int

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    Definition Classes
    BoosterParams

  106. final def getTreeMethod: String

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    Definition Classes
    BoosterParams

  107. final def getUseExternalMemory: Boolean

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    Definition Classes
    GeneralParams

  108. final def getVerbosity: Int

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    Definition Classes
    GeneralParams

  109. final def getWeightCol: String

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    Definition Classes
    HasWeightCol

  110. final val growPolicy: Param[String]

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    Definition Classes
    BoosterParams

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

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    Definition Classes
    Params

  112. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  113. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  115. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
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    Logging

  116. final val interactionConstraints: Param[String]

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    Definition Classes
    BoosterParams

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

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    Params

  118. final def isInstanceOf[T0]: Boolean

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    Any

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

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    Definition Classes
    Params

  120. def isTraceEnabled(): Boolean

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    Attributes
    protected
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    Logging

  121. val iteration: String

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    Definition Classes
    HasLossHistory

  122. val label: String

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    Definition Classes
    HasLossHistory

  123. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol

  124. final val lambda: DoubleParam

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    Definition Classes
    BoosterParams

  125. final val lambdaBias: DoubleParam

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    Definition Classes
    BoosterParams

  126. final val leafPredictionCol: Param[String]

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    Definition Classes
    HasLeafPredictionCol

  127. def log: Logger

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    Attributes
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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

  134. def logName: String

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    Logging

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

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    Attributes
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    Logging

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

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    protected
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    Logging

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

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    Attributes
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    Logging

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

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    Attributes
    protected
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    Logging

  139. val loss: String

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    Definition Classes
    HasLossHistory

  140. val lossHistory: Block

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    Definition Classes
    HasLossHistory

  141. final val maxBins: IntParam

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    Definition Classes
    BoosterParams

  142. final val maxDeltaStep: DoubleParam

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    Definition Classes
    BoosterParams

  143. final val maxDepth: IntParam

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    Definition Classes
    BoosterParams

  144. final val maxLeaves: IntParam

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    Definition Classes
    BoosterParams

  145. final val maximizeEvaluationMetrics: BooleanParam

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    Definition Classes
    LearningTaskParams

  146. final val minChildWeight: DoubleParam

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    Definition Classes
    BoosterParams

  147. final val missing: FloatParam

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    Definition Classes
    GeneralParams

  148. final val monotoneConstraints: Param[String]

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    Definition Classes
    BoosterParams

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

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    Definition Classes
    AnyRef

  150. def needDeterministicRepartitioning: Boolean

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    Definition Classes
    XGBoostEstimatorCommon

  151. final val normalizeType: Param[String]

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    Definition Classes
    BoosterParams

  152. final def notify(): Unit

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    Definition Classes
    AnyRef

  153. final def notifyAll(): Unit

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    AnyRef

  154. final val nthread: IntParam

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    GeneralParams

  155. final val numClass: IntParam

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    Definition Classes
    HasNumClass

  156. final val numEarlyStoppingRounds: IntParam

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    Definition Classes
    LearningTaskParams

  157. final val numRound: IntParam

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    Definition Classes
    GeneralParams

  158. final val numWorkers: IntParam

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    Definition Classes
    GeneralParams

  159. final val objective: Param[String]

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    Definition Classes
    LearningTaskParams

  160. final val objectiveType: Param[String]

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    Definition Classes
    LearningTaskParams

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

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    Definition Classes
    Params

  162. val predictAsDouble: BooleanParam

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    Definition Classes
    OkXGBoostParams

  163. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  164. final val probabilityCol: Param[String]

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    Definition Classes
    HasProbabilityCol

  165. final def rabitConnectRetry: IntParam

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    Definition Classes
    RabitParams

  166. final val rabitRingReduceThreshold: IntParam

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    Definition Classes
    RabitParams

  167. final def rabitTimeout: IntParam

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    Definition Classes
    RabitParams

  168. final val rateDrop: DoubleParam

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    Definition Classes
    BoosterParams

  169. final val rawPredictionCol: Param[String]

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    Definition Classes
    HasRawPredictionCol

  170. final val sampleType: Param[String]

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    Definition Classes
    BoosterParams

  171. def save(path: String): Unit

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

  172. final val scalePosWeight: DoubleParam

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    Definition Classes
    BoosterParams

  173. final val seed: LongParam

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    Definition Classes
    GeneralParams

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

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    Params

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

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    Attributes
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    Params

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

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    Definition Classes
    Params

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

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    Definition Classes
    OkXGBoostParams

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

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    Definition Classes
    OkXGBoostParams

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

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

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

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

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

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

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

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

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

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

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

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

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    Params

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

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    Params

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

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    Definition Classes
    OkXGBoostParams

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

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

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

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    Definition Classes
    NonParamVariables

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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    Definition Classes
    OkXGBoostParams

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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  235. val significance: String

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    Definition Classes
    HasFeaturesSignificance

  236. final val silent: IntParam

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    Definition Classes
    GeneralParams

  237. final val sketchEps: DoubleParam

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    Definition Classes
    BoosterParams

  238. final val skipCleanCheckpoint: BooleanParam

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    Definition Classes
    LearningTaskParams

  239. final val skipDrop: DoubleParam

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    Definition Classes
    BoosterParams

  240. val stdDev: String

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    Definition Classes
    HasFeaturesSignificance

  241. final val subsample: DoubleParam

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    Definition Classes
    BoosterParams

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

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    Definition Classes
    AnyRef

  243. val testLoss: String

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    Definition Classes
    HasLossHistory

  244. final val thresholds: DoubleArrayParam

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    Definition Classes
    HasThresholds

  245. final val timeoutRequestWorkers: LongParam

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    Definition Classes
    GeneralParams

  246. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  247. final val trackerConf: TrackerConfParam

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    Definition Classes
    GeneralParams

  248. final val trainTestRatio: DoubleParam

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    Definition Classes
    LearningTaskParams

  249. def transformSchema(schema: StructType): StructType

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    Definition Classes
    XGBoostClassifier → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  251. final val treeLimit: IntParam

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    Definition Classes
    BoosterParams

  252. final val treeMethod: Param[String]

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    Definition Classes
    BoosterParams

  253. val uid: String

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    Definition Classes
    XGBoostClassifier → Identifiable

  254. final val useExternalMemory: BooleanParam

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    Definition Classes
    GeneralParams

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

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    Attributes
    protected
    Definition Classes
    ProbabilisticClassifierParams → ClassifierParams → PredictorParams

  256. final val verbosity: IntParam

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    Definition Classes
    GeneralParams

  257. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  260. final val weightCol: Param[String]

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    Definition Classes
    HasWeightCol

  261. 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 XGBoostEstimatorCommon

Inherited from NonParamVariables

Inherited from ParamMapFuncs

Inherited from RabitParams

Inherited from BoosterParams

Inherited from LearningTaskParams

Inherited from GeneralParams

Inherited from HasContribPredictionCol

Inherited from HasLeafPredictionCol

Inherited from HasNumClass

Inherited from HasBaseMarginCol

Inherited from HasWeightCol

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