Class/Object

org.apache.spark.ml.odkl

XGRegressionModelWrapper

Related Docs: object XGRegressionModelWrapper | package odkl

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class XGRegressionModelWrapper extends Model[XGRegressionModelWrapper] with ModelWithSummary[XGRegressionModelWrapper] with PredictorParams with OkXGBoostRegressorParams

Linear Supertypes
OkXGBoostRegressorParams, OkXGBoostParams, XGBoostRegressorParams, NonParamVariables, HasContribPredictionCol, HasLeafPredictionCol, ParamMapFuncs, HasGroupCol, HasWeightCol, HasBaseMarginCol, LearningTaskParams, BoosterParams, GeneralParams, PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, ModelWithSummary[XGRegressionModelWrapper], MLWritable, Model[XGRegressionModelWrapper], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. XGRegressionModelWrapper
  2. OkXGBoostRegressorParams
  3. OkXGBoostParams
  4. XGBoostRegressorParams
  5. NonParamVariables
  6. HasContribPredictionCol
  7. HasLeafPredictionCol
  8. ParamMapFuncs
  9. HasGroupCol
  10. HasWeightCol
  11. HasBaseMarginCol
  12. LearningTaskParams
  13. BoosterParams
  14. GeneralParams
  15. PredictorParams
  16. HasPredictionCol
  17. HasFeaturesCol
  18. HasLabelCol
  19. ModelWithSummary
  20. MLWritable
  21. Model
  22. Transformer
  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 XGRegressionModelWrapper(dlmc: XGBoostRegressionModel)

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  2. new XGRegressionModelWrapper(uid: String)

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    For serialization only

    For serialization only

    Annotations
    @Deprecated

  3. new XGRegressionModelWrapper(_dlmc: XGBoostRegressionModel, 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. final val baseMarginCol: Param[String]

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    Definition Classes
    HasBaseMarginCol

  12. final val baseScore: DoubleParam

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    Definition Classes
    LearningTaskParams

  13. final val cacheTrainingSet: BooleanParam

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    Definition Classes
    LearningTaskParams

  14. final val checkpointInterval: IntParam

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    Definition Classes
    GeneralParams

  15. final val checkpointPath: Param[String]

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    Definition Classes
    GeneralParams

  16. final def clear(param: Param[_]): XGRegressionModelWrapper.this.type

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    Definition Classes
    Params

  17. def clone(): AnyRef

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

  18. final val colsampleBylevel: DoubleParam

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    Definition Classes
    BoosterParams

  19. final val colsampleBytree: DoubleParam

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    Definition Classes
    BoosterParams

  20. final val contribPredictionCol: Param[String]

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    Definition Classes
    HasContribPredictionCol

  21. def copy(summary: ModelSummary, params: ParamMap): XGRegressionModelWrapper

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    Definition Classes
    ModelWithSummary

  22. def copy(blocks: Map[Block, DataFrame], params: ParamMap = ParamMap()): XGRegressionModelWrapper

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    Definition Classes
    ModelWithSummary

  23. def copy(extra: ParamMap): XGRegressionModelWrapper

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    Definition Classes
    ModelWithSummary → Model → Transformer → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

  25. def create(): XGRegressionModelWrapper

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    Attributes
    protected
    Definition Classes
    XGRegressionModelWrapper → ModelWithSummary

  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. def disableSaveSummary(): ModelWithSummary[XGRegressionModelWrapper]

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    Definition Classes
    ModelWithSummary

  32. def dlmc: XGBoostRegressionModel

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

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    Definition Classes
    AnyRef

  34. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  35. final val eta: DoubleParam

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    Definition Classes
    BoosterParams

  36. final val evalMetric: Param[String]

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    Definition Classes
    LearningTaskParams

  37. var evalSetsMap: Map[String, DataFrame]

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    Attributes
    protected
    Definition Classes
    NonParamVariables

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

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    Definition Classes
    Params

  39. def explainParams(): String

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    Definition Classes
    Params

  40. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  42. final val featuresCol: Param[String]

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    Definition Classes
    HasFeaturesCol

  43. def finalize(): Unit

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

  44. final val gamma: DoubleParam

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    Definition Classes
    BoosterParams

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

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    Definition Classes
    Params

  46. final def getAlpha: Double

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    Definition Classes
    BoosterParams

  47. final def getBaseMarginCol: String

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    Definition Classes
    HasBaseMarginCol

  48. final def getBaseScore: Double

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    Definition Classes
    LearningTaskParams

  49. final def getCheckpointInterval: Int

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    Definition Classes
    GeneralParams

  50. final def getCheckpointPath: String

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    Definition Classes
    GeneralParams

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

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    Definition Classes
    AnyRef → Any

  52. final def getColsampleBylevel: Double

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    Definition Classes
    BoosterParams

  53. final def getColsampleBytree: Double

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    Definition Classes
    BoosterParams

  54. final def getContribPredictionCol: String

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    Definition Classes
    HasContribPredictionCol

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

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    Definition Classes
    Params

  56. final def getEta: Double

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    Definition Classes
    BoosterParams

  57. final def getEvalMetric: String

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    Definition Classes
    LearningTaskParams

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

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    Definition Classes
    NonParamVariables

  59. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol

  60. final def getGamma: Double

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    Definition Classes
    BoosterParams

  61. final def getGroupCol: String

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    Definition Classes
    HasGroupCol

  62. final def getGrowPolicy: String

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    Definition Classes
    BoosterParams

  63. final def getInteractionConstraints: String

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    Definition Classes
    BoosterParams

  64. final def getLabelCol: String

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    Definition Classes
    HasLabelCol

  65. final def getLambda: Double

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    Definition Classes
    BoosterParams

  66. final def getLambdaBias: Double

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    Definition Classes
    BoosterParams

  67. final def getLeafPredictionCol: String

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    Definition Classes
    HasLeafPredictionCol

  68. final def getMaxBins: Int

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    Definition Classes
    BoosterParams

  69. final def getMaxDeltaStep: Double

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    Definition Classes
    BoosterParams

  70. final def getMaxDepth: Int

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    Definition Classes
    BoosterParams

  71. final def getMaxLeaves: Int

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    Definition Classes
    BoosterParams

  72. final def getMaximizeEvaluationMetrics: Boolean

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    Definition Classes
    LearningTaskParams

  73. final def getMinChildWeight: Double

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    Definition Classes
    BoosterParams

  74. final def getMissing: Float

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    Definition Classes
    GeneralParams

  75. final def getMonotoneConstraints: String

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    Definition Classes
    BoosterParams

  76. final def getNormalizeType: String

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    Definition Classes
    BoosterParams

  77. final def getNthread: Int

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    Definition Classes
    GeneralParams

  78. final def getNumEarlyStoppingRounds: Int

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    Definition Classes
    LearningTaskParams

  79. final def getNumRound: Int

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    Definition Classes
    GeneralParams

  80. final def getNumWorkers: Int

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    Definition Classes
    GeneralParams

  81. final def getObjective: String

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    Definition Classes
    LearningTaskParams

  82. final def getObjectiveType: String

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    Definition Classes
    LearningTaskParams

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  85. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

  86. final def getRateDrop: Double

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    Definition Classes
    BoosterParams

  87. final def getSampleType: String

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    Definition Classes
    BoosterParams

  88. final def getScalePosWeight: Double

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    Definition Classes
    BoosterParams

  89. final def getSeed: Long

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    Definition Classes
    GeneralParams

  90. final def getSilent: Int

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    Definition Classes
    GeneralParams

  91. final def getSketchEps: Double

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    Definition Classes
    BoosterParams

  92. final def getSkipDrop: Double

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    Definition Classes
    BoosterParams

  93. final def getSubsample: Double

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    Definition Classes
    BoosterParams

  94. final def getTimeoutRequestWorkers: Long

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    Definition Classes
    GeneralParams

  95. final def getTrainTestRatio: Double

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    Definition Classes
    LearningTaskParams

  96. final def getTreeLimit: Int

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    Definition Classes
    BoosterParams

  97. final def getTreeMethod: String

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    Definition Classes
    BoosterParams

  98. final def getUseExternalMemory: Boolean

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    Definition Classes
    GeneralParams

  99. final def getVerbosity: Int

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    Definition Classes
    GeneralParams

  100. final def getWeightCol: String

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    Definition Classes
    HasWeightCol

  101. final val groupCol: Param[String]

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    Definition Classes
    HasGroupCol

  102. final val growPolicy: Param[String]

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    Definition Classes
    BoosterParams

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

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    Definition Classes
    Params

  104. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  105. def hasParent: Boolean

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    Definition Classes
    Model

  106. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  108. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  109. final val interactionConstraints: Param[String]

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    Definition Classes
    BoosterParams

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

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    Definition Classes
    Params

  111. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  112. def isSaveSummaryEnabled: Boolean

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    Definition Classes
    ModelWithSummary

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

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    Definition Classes
    Params

  114. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  115. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol

  116. final val lambda: DoubleParam

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    Definition Classes
    BoosterParams

  117. final val lambdaBias: DoubleParam

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    Definition Classes
    BoosterParams

  118. final val leafPredictionCol: Param[String]

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    Definition Classes
    HasLeafPredictionCol

  119. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  126. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  131. final val maxBins: IntParam

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    Definition Classes
    BoosterParams

  132. final val maxDeltaStep: DoubleParam

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    Definition Classes
    BoosterParams

  133. final val maxDepth: IntParam

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    Definition Classes
    BoosterParams

  134. final val maxLeaves: IntParam

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    Definition Classes
    BoosterParams

  135. final val maximizeEvaluationMetrics: BooleanParam

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    Definition Classes
    LearningTaskParams

  136. final val minChildWeight: DoubleParam

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    Definition Classes
    BoosterParams

  137. final val missing: FloatParam

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    Definition Classes
    GeneralParams

  138. final val monotoneConstraints: Param[String]

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    Definition Classes
    BoosterParams

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

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    Definition Classes
    AnyRef

  140. final val normalizeType: Param[String]

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    Definition Classes
    BoosterParams

  141. final def notify(): Unit

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    Definition Classes
    AnyRef

  142. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  143. final val nthread: IntParam

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    Definition Classes
    GeneralParams

  144. final val numEarlyStoppingRounds: IntParam

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    Definition Classes
    LearningTaskParams

  145. final val numRound: IntParam

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    Definition Classes
    GeneralParams

  146. final val numWorkers: IntParam

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    Definition Classes
    GeneralParams

  147. final val objective: Param[String]

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    Definition Classes
    LearningTaskParams

  148. final val objectiveType: Param[String]

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    Definition Classes
    LearningTaskParams

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

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    Definition Classes
    Params

  150. var parent: Estimator[XGRegressionModelWrapper]

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    Definition Classes
    Model

  151. val predictAsDouble: BooleanParam

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    Definition Classes
    OkXGBoostParams

  152. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  153. final val rateDrop: DoubleParam

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    Definition Classes
    BoosterParams

  154. final val sampleType: Param[String]

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    Definition Classes
    BoosterParams

  155. def save(path: String): Unit

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

  156. final val scalePosWeight: DoubleParam

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    Definition Classes
    BoosterParams

  157. final val seed: LongParam

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    Definition Classes
    GeneralParams

  158. final def set(paramPair: ParamPair[_]): XGRegressionModelWrapper.this.type

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    Attributes
    protected
    Definition Classes
    Params

  159. final def set(param: String, value: Any): XGRegressionModelWrapper.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    Params

  161. def setAddRawTrees(value: Boolean): XGRegressionModelWrapper.this.type

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    Definition Classes
    OkXGBoostParams

  162. def setAddSignificance(value: Boolean): XGRegressionModelWrapper.this.type

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    Definition Classes
    OkXGBoostParams

  163. final def setDefault(paramPairs: ParamPair[_]*): XGRegressionModelWrapper.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  165. def setDensifyInput(value: Boolean): XGRegressionModelWrapper.this.type

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    Definition Classes
    OkXGBoostParams

  166. def setEvalSets(evalSets: Map[String, DataFrame]): XGRegressionModelWrapper.this.type

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    Definition Classes
    NonParamVariables

  167. def setParent(parent: Estimator[XGRegressionModelWrapper]): XGRegressionModelWrapper

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    Definition Classes
    Model

  168. def setPredictAsDouble(value: Boolean): XGRegressionModelWrapper.this.type

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    Definition Classes
    OkXGBoostParams

  169. final val silent: IntParam

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    Definition Classes
    GeneralParams

  170. final val sketchEps: DoubleParam

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    Definition Classes
    BoosterParams

  171. final val skipDrop: DoubleParam

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    Definition Classes
    BoosterParams

  172. final val subsample: DoubleParam

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    Definition Classes
    BoosterParams

  173. def summary: ModelSummary

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    Definition Classes
    ModelWithSummary

  174. val summaryParam: Param[ModelSummary]

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    Attributes
    protected
    Definition Classes
    ModelWithSummary

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

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    Definition Classes
    AnyRef

  176. final val timeoutRequestWorkers: LongParam

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    Definition Classes
    GeneralParams

  177. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  178. final val trackerConf: TrackerConfParam

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    Definition Classes
    GeneralParams

  179. final val trainTestRatio: DoubleParam

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    Definition Classes
    LearningTaskParams

  180. def transform(dataset: Dataset[_]): DataFrame

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    Definition Classes
    XGRegressionModelWrapper → Transformer

  181. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

  182. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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

  183. def transformSchema(schema: StructType): StructType

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    Definition Classes
    XGRegressionModelWrapper → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  185. final val treeLimit: IntParam

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    Definition Classes
    BoosterParams

  186. final val treeMethod: Param[String]

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    Definition Classes
    BoosterParams

  187. val uid: String

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    Definition Classes
    XGRegressionModelWrapper → Identifiable

  188. final val useExternalMemory: BooleanParam

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    Definition Classes
    GeneralParams

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

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    Attributes
    protected
    Definition Classes
    PredictorParams

  190. final val verbosity: IntParam

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    Definition Classes
    GeneralParams

  191. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  194. final val weightCol: Param[String]

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    Definition Classes
    HasWeightCol

  195. def write: WithSummaryWriter[XGRegressionModelWrapper]

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    Definition Classes
    XGRegressionModelWrapper → ModelWithSummary → MLWritable

Inherited from OkXGBoostRegressorParams

Inherited from OkXGBoostParams

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 PredictorParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from ModelWithSummary[XGRegressionModelWrapper]

Inherited from MLWritable

Inherited from Model[XGRegressionModelWrapper]

Inherited from Transformer

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