Class/Object

org.apache.spark.ml.odkl

XGBoostRegressor

Related Docs: object XGBoostRegressor | package odkl

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class XGBoostRegressor extends Estimator[XGRegressionModelWrapper] with SummarizableEstimator[XGRegressionModelWrapper] with OkXGBoostRegressorParams 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, OkXGBoostRegressorParams, OkXGBoostParams, HasPredictionCol, HasFeaturesCol, XGBoostRegressorParams, NonParamVariables, HasContribPredictionCol, HasLeafPredictionCol, ParamMapFuncs, HasGroupCol, HasWeightCol, HasBaseMarginCol, LearningTaskParams, BoosterParams, GeneralParams, SummarizableEstimator[XGRegressionModelWrapper], Estimator[XGRegressionModelWrapper], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. XGBoostRegressor
  2. DefaultParamsWritable
  3. MLWritable
  4. HasFeaturesSignificance
  5. HasLossHistory
  6. OkXGBoostRegressorParams
  7. OkXGBoostParams
  8. HasPredictionCol
  9. HasFeaturesCol
  10. XGBoostRegressorParams
  11. NonParamVariables
  12. HasContribPredictionCol
  13. HasLeafPredictionCol
  14. ParamMapFuncs
  15. HasGroupCol
  16. HasWeightCol
  17. HasBaseMarginCol
  18. LearningTaskParams
  19. BoosterParams
  20. GeneralParams
  21. SummarizableEstimator
  22. Estimator
  23. PipelineStage
  24. Logging
  25. Params
  26. Serializable
  27. Serializable
  28. Identifiable
  29. AnyRef
  30. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new XGBoostRegressor()

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  2. new XGBoostRegressor(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[_]): XGBoostRegressor.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[XGRegressionModelWrapper]

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    Definition Classes
    XGBoostRegressor → 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[_]): XGRegressionModelWrapper

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    Definition Classes
    XGBoostRegressor → Estimator

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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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 getGroupCol: String

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    Definition Classes
    HasGroupCol

  66. final def getGrowPolicy: String

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    Definition Classes
    BoosterParams

  67. final def getInteractionConstraints: String

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    Definition Classes
    BoosterParams

  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 getNumEarlyStoppingRounds: Int

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    Definition Classes
    LearningTaskParams

  82. final def getNumRound: Int

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    Definition Classes
    GeneralParams

  83. final def getNumWorkers: Int

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    Definition Classes
    GeneralParams

  84. final def getObjective: String

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    Definition Classes
    LearningTaskParams

  85. final def getObjectiveType: String

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    Definition Classes
    LearningTaskParams

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  88. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

  89. final def getRateDrop: Double

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    Definition Classes
    BoosterParams

  90. final def getSampleType: String

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    Definition Classes
    BoosterParams

  91. final def getScalePosWeight: Double

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    Definition Classes
    BoosterParams

  92. final def getSeed: Long

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    Definition Classes
    GeneralParams

  93. final def getSilent: Int

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    Definition Classes
    GeneralParams

  94. final def getSketchEps: Double

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    Definition Classes
    BoosterParams

  95. final def getSkipDrop: Double

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    Definition Classes
    BoosterParams

  96. final def getSubsample: Double

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    Definition Classes
    BoosterParams

  97. final def getTimeoutRequestWorkers: Long

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    Definition Classes
    GeneralParams

  98. final def getTrainTestRatio: Double

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    Definition Classes
    LearningTaskParams

  99. final def getTreeLimit: Int

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    Definition Classes
    BoosterParams

  100. final def getTreeMethod: String

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    Definition Classes
    BoosterParams

  101. final def getUseExternalMemory: Boolean

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    Definition Classes
    GeneralParams

  102. final def getVerbosity: Int

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    Definition Classes
    GeneralParams

  103. final def getWeightCol: String

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    Definition Classes
    HasWeightCol

  104. final val groupCol: Param[String]

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    Definition Classes
    HasGroupCol

  105. final val growPolicy: Param[String]

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    Definition Classes
    BoosterParams

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

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    Definition Classes
    Params

  107. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  108. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  110. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  111. final val interactionConstraints: Param[String]

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    Definition Classes
    BoosterParams

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

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    Definition Classes
    Params

  113. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  115. def isTraceEnabled(): Boolean

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    Attributes
    protected
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    Logging

  116. val iteration: String

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    Definition Classes
    HasLossHistory

  117. val label: String

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    Definition Classes
    HasLossHistory

  118. final val lambda: DoubleParam

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    Definition Classes
    BoosterParams

  119. final val lambdaBias: DoubleParam

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    Definition Classes
    BoosterParams

  120. final val leafPredictionCol: Param[String]

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    Definition Classes
    HasLeafPredictionCol

  121. def log: Logger

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    Logging

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

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    Attributes
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    Logging

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

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    Attributes
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Logging

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

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    Attributes
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    Logging

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

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    Logging

  128. def logName: String

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    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
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    Logging

  133. val loss: String

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    Definition Classes
    HasLossHistory

  134. val lossHistory: Block

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    Definition Classes
    HasLossHistory

  135. final val maxBins: IntParam

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    Definition Classes
    BoosterParams

  136. final val maxDeltaStep: DoubleParam

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    Definition Classes
    BoosterParams

  137. final val maxDepth: IntParam

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    Definition Classes
    BoosterParams

  138. final val maxLeaves: IntParam

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    Definition Classes
    BoosterParams

  139. final val maximizeEvaluationMetrics: BooleanParam

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    Definition Classes
    LearningTaskParams

  140. final val minChildWeight: DoubleParam

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    Definition Classes
    BoosterParams

  141. final val missing: FloatParam

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    Definition Classes
    GeneralParams

  142. final val monotoneConstraints: Param[String]

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    Definition Classes
    BoosterParams

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

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    Definition Classes
    AnyRef

  144. final val normalizeType: Param[String]

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    Definition Classes
    BoosterParams

  145. final def notify(): Unit

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    Definition Classes
    AnyRef

  146. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  147. final val nthread: IntParam

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    Definition Classes
    GeneralParams

  148. final val numEarlyStoppingRounds: IntParam

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    Definition Classes
    LearningTaskParams

  149. final val numRound: IntParam

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    Definition Classes
    GeneralParams

  150. final val numWorkers: IntParam

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    Definition Classes
    GeneralParams

  151. final val objective: Param[String]

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    Definition Classes
    LearningTaskParams

  152. final val objectiveType: Param[String]

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    Definition Classes
    LearningTaskParams

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

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    Definition Classes
    Params

  154. val predictAsDouble: BooleanParam

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    Definition Classes
    OkXGBoostParams

  155. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  156. final val rateDrop: DoubleParam

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    Definition Classes
    BoosterParams

  157. final val sampleType: Param[String]

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    Definition Classes
    BoosterParams

  158. def save(path: String): Unit

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

  159. final val scalePosWeight: DoubleParam

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    Definition Classes
    BoosterParams

  160. final val seed: LongParam

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    Definition Classes
    GeneralParams

  161. final def set(paramPair: ParamPair[_]): XGBoostRegressor.this.type

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    Attributes
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    Params

  162. final def set(param: String, value: Any): XGBoostRegressor.this.type

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    Attributes
    protected
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    Params

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

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    Definition Classes
    Params

  164. def setAddRawTrees(value: Boolean): XGBoostRegressor.this.type

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    Definition Classes
    OkXGBoostParams

  165. def setAddSignificance(value: Boolean): XGBoostRegressor.this.type

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    Definition Classes
    OkXGBoostParams

  166. def setAlpha(value: Double): XGBoostRegressor.this.type

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  167. def setBaseMarginCol(value: String): XGBoostRegressor.this.type

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  168. def setBaseScore(value: Double): XGBoostRegressor.this.type

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  169. def setCheckpointInterval(value: Int): XGBoostRegressor.this.type

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  170. def setCheckpointPath(value: String): XGBoostRegressor.this.type

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  171. def setColsampleBylevel(value: Double): XGBoostRegressor.this.type

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  172. def setColsampleBytree(value: Double): XGBoostRegressor.this.type

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  173. def setCustomEval(value: EvalTrait): XGBoostRegressor.this.type

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  174. def setCustomEvaluation(value: EvalTrait): XGBoostRegressor.this.type

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  175. def setCustomObj(value: ObjectiveTrait): XGBoostRegressor.this.type

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  176. def setCustomObjective(value: ObjectiveTrait): XGBoostRegressor.this.type

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  177. final def setDefault(paramPairs: ParamPair[_]*): XGBoostRegressor.this.type

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    Params

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

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    Attributes
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    Params

  179. def setDensifyInput(value: Boolean): XGBoostRegressor.this.type

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    Definition Classes
    OkXGBoostParams

  180. def setEta(value: Double): XGBoostRegressor.this.type

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  181. def setEvalMetric(value: String): XGBoostRegressor.this.type

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  182. def setEvalSets(evalSets: Map[String, DataFrame]): XGBoostRegressor.this.type

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    Definition Classes
    NonParamVariables

  183. def setFeatureCol(value: String): XGBoostRegressor.this.type

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  184. def setGamma(value: Double): XGBoostRegressor.this.type

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  185. def setGrowPolicy(value: String): XGBoostRegressor.this.type

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  186. def setLambda(value: Double): XGBoostRegressor.this.type

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  187. def setLambdaBias(value: Double): XGBoostRegressor.this.type

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  188. def setMaxBeens(value: Int): XGBoostRegressor.this.type

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  189. def setMaxBins(value: Int): XGBoostRegressor.this.type

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  190. def setMaxDeltaStep(value: Double): XGBoostRegressor.this.type

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  191. def setMaxDepth(value: Int): XGBoostRegressor.this.type

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  192. def setMinChildWeight(value: Double): XGBoostRegressor.this.type

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  193. def setMissing(value: Float): XGBoostRegressor.this.type

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  194. def setNormalizeType(value: String): XGBoostRegressor.this.type

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  195. def setNthread(value: Int): XGBoostRegressor.this.type

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  196. def setNumEarlyStoppingRounds(value: Int): XGBoostRegressor.this.type

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  197. def setNumRound(value: Int): XGBoostRegressor.this.type

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  198. def setNumRounds(value: Int): XGBoostRegressor.this.type

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  199. def setNumWorkers(value: Int): XGBoostRegressor.this.type

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  200. def setObjective(value: String): XGBoostRegressor.this.type

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  201. def setObjectiveType(value: String): XGBoostRegressor.this.type

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  202. def setPredictAsDouble(value: Boolean): XGBoostRegressor.this.type

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    Definition Classes
    OkXGBoostParams

  203. def setPredictionCol(value: String): XGBoostRegressor.this.type

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  204. def setRateDrop(value: Double): XGBoostRegressor.this.type

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  205. def setSampleType(value: String): XGBoostRegressor.this.type

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  206. def setScalePosWeight(value: Double): XGBoostRegressor.this.type

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  207. def setSeed(value: Long): XGBoostRegressor.this.type

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  208. def setSilent(value: Boolean): XGBoostRegressor.this.type

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  209. def setSilent(value: Int): XGBoostRegressor.this.type

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  210. def setSketchEps(value: Double): XGBoostRegressor.this.type

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  211. def setSkipDrop(value: Double): XGBoostRegressor.this.type

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  212. def setSubsample(value: Double): XGBoostRegressor.this.type

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  213. def setTimeoutRequestWorkers(value: Long): XGBoostRegressor.this.type

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  214. def setTrackerConf(workerConnectionTimeout: Long, trackerImpl: String): XGBoostRegressor.this.type

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  215. def setTrainTestRatio(value: Double): XGBoostRegressor.this.type

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  216. def setTrainTestRation(value: Double): XGBoostRegressor.this.type

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  217. def setTreeMethod(value: String): XGBoostRegressor.this.type

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  218. def setUseExternalMemory(value: Boolean): XGBoostRegressor.this.type

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  219. def setWeightCol(value: String): XGBoostRegressor.this.type

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  220. val significance: String

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    Definition Classes
    HasFeaturesSignificance

  221. final val silent: IntParam

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    Definition Classes
    GeneralParams

  222. final val sketchEps: DoubleParam

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    Definition Classes
    BoosterParams

  223. final val skipDrop: DoubleParam

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    Definition Classes
    BoosterParams

  224. val stdDev: String

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    Definition Classes
    HasFeaturesSignificance

  225. final val subsample: DoubleParam

    Permalink
    Definition Classes
    BoosterParams

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

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    Definition Classes
    AnyRef

  227. val testLoss: String

    Permalink
    Definition Classes
    HasLossHistory

  228. final val timeoutRequestWorkers: LongParam

    Permalink
    Definition Classes
    GeneralParams

  229. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  230. final val trackerConf: TrackerConfParam

    Permalink
    Definition Classes
    GeneralParams

  231. final val trainTestRatio: DoubleParam

    Permalink
    Definition Classes
    LearningTaskParams

  232. def transformSchema(schema: StructType): StructType

    Permalink
    Definition Classes
    XGBoostRegressor → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  234. final val treeLimit: IntParam

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    Definition Classes
    BoosterParams

  235. final val treeMethod: Param[String]

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    Definition Classes
    BoosterParams

  236. val uid: String

    Permalink
    Definition Classes
    XGBoostRegressor → Identifiable

  237. final val useExternalMemory: BooleanParam

    Permalink
    Definition Classes
    GeneralParams

  238. final val verbosity: IntParam

    Permalink
    Definition Classes
    GeneralParams

  239. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  242. final val weightCol: Param[String]

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    Definition Classes
    HasWeightCol

  243. def write: MLWriter

    Permalink
    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from HasFeaturesSignificance

Inherited from HasLossHistory

Inherited from OkXGBoostRegressorParams

Inherited from OkXGBoostParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from XGBoostRegressorParams

Inherited from NonParamVariables

Inherited from HasContribPredictionCol

Inherited from HasLeafPredictionCol

Inherited from ParamMapFuncs

Inherited from HasGroupCol

Inherited from HasWeightCol

Inherited from HasBaseMarginCol

Inherited from LearningTaskParams

Inherited from BoosterParams

Inherited from GeneralParams

Inherited from SummarizableEstimator[XGRegressionModelWrapper]

Inherited from Estimator[XGRegressionModelWrapper]

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