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, 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. HasContribPredictionCol
  12. HasLeafPredictionCol
  13. ParamMapFuncs
  14. HasGroupCol
  15. HasWeightCol
  16. HasBaseMarginCol
  17. LearningTaskParams
  18. BoosterParams
  19. GeneralParams
  20. SummarizableEstimator
  21. Estimator
  22. PipelineStage
  23. Logging
  24. Params
  25. Serializable
  26. Serializable
  27. Identifiable
  28. AnyRef
  29. 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 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[_]): XGBoostRegressor.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(extra: ParamMap): SummarizableEstimator[XGRegressionModelWrapper]

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    Definition Classes
    XGBoostRegressor → SummarizableEstimator → Estimator → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

  23. val count: String

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    Definition Classes
    HasFeaturesSignificance

  24. final val customEval: CustomEvalParam

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    Definition Classes
    GeneralParams

  25. final val customObj: CustomObjParam

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    Definition Classes
    GeneralParams

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    OkXGBoostParams

  28. val densifyInput: BooleanParam

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    Definition Classes
    OkXGBoostParams

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

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    Definition Classes
    AnyRef

  30. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  31. final val eta: DoubleParam

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    Definition Classes
    BoosterParams

  32. final val evalMetric: Param[String]

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    Definition Classes
    LearningTaskParams

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

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    Definition Classes
    Params

  34. def explainParams(): String

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    Definition Classes
    Params

  35. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  37. val feature_index: String

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    Definition Classes
    HasFeaturesSignificance

  38. val feature_name: String

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    Definition Classes
    HasFeaturesSignificance

  39. final val featuresCol: Param[String]

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    Definition Classes
    HasFeaturesCol

  40. def featuresSignificance: Block

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    Definition Classes
    HasFeaturesSignificance

  41. def finalize(): Unit

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

  42. def fit(dataset: Dataset[_]): XGRegressionModelWrapper

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    Definition Classes
    XGBoostRegressor → Estimator

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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

  46. final val gamma: DoubleParam

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    Definition Classes
    BoosterParams

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

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    Definition Classes
    Params

  48. final def getAlpha: Double

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    Definition Classes
    BoosterParams

  49. final def getBaseMarginCol: String

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    Definition Classes
    HasBaseMarginCol

  50. final def getBaseScore: Double

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    Definition Classes
    LearningTaskParams

  51. final def getCheckpointInterval: Int

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    Definition Classes
    GeneralParams

  52. final def getCheckpointPath: String

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    Definition Classes
    GeneralParams

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

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    Definition Classes
    AnyRef → Any

  54. final def getColsampleBylevel: Double

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    Definition Classes
    BoosterParams

  55. final def getColsampleBytree: Double

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    Definition Classes
    BoosterParams

  56. final def getContribPredictionCol: String

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    Definition Classes
    HasContribPredictionCol

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

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    Definition Classes
    Params

  58. final def getEta: Double

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    Definition Classes
    BoosterParams

  59. final def getEvalMetric: String

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    Definition Classes
    LearningTaskParams

  60. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol

  61. final def getGamma: Double

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    Definition Classes
    BoosterParams

  62. final def getGroupCol: String

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    Definition Classes
    HasGroupCol

  63. final def getGrowPolicy: String

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    Definition Classes
    BoosterParams

  64. final def getLambda: Double

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    Definition Classes
    BoosterParams

  65. final def getLambdaBias: Double

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    Definition Classes
    BoosterParams

  66. final def getLeafPredictionCol: String

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    Definition Classes
    HasLeafPredictionCol

  67. final def getMaxBins: Int

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    Definition Classes
    BoosterParams

  68. final def getMaxDeltaStep: Double

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    Definition Classes
    BoosterParams

  69. final def getMaxDepth: Int

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    Definition Classes
    BoosterParams

  70. final def getMaximizeEvaluationMetrics: Boolean

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    Definition Classes
    LearningTaskParams

  71. final def getMinChildWeight: Double

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    Definition Classes
    BoosterParams

  72. final def getMissing: Float

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    Definition Classes
    GeneralParams

  73. final def getNormalizeType: String

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    Definition Classes
    BoosterParams

  74. final def getNthread: Int

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    Definition Classes
    GeneralParams

  75. final def getNumEarlyStoppingRounds: Int

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    Definition Classes
    LearningTaskParams

  76. final def getNumRound: Int

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    Definition Classes
    GeneralParams

  77. final def getNumWorkers: Int

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    Definition Classes
    GeneralParams

  78. final def getObjective: String

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    Definition Classes
    LearningTaskParams

  79. final def getObjectiveType: String

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    Definition Classes
    LearningTaskParams

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  82. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

  83. final def getRateDrop: Double

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    Definition Classes
    BoosterParams

  84. final def getSampleType: String

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    Definition Classes
    BoosterParams

  85. final def getScalePosWeight: Double

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    Definition Classes
    BoosterParams

  86. final def getSeed: Long

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    Definition Classes
    GeneralParams

  87. final def getSilent: Int

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    Definition Classes
    GeneralParams

  88. final def getSketchEps: Double

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    Definition Classes
    BoosterParams

  89. final def getSkipDrop: Double

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    Definition Classes
    BoosterParams

  90. final def getSubsample: Double

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    Definition Classes
    BoosterParams

  91. final def getTimeoutRequestWorkers: Long

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    Definition Classes
    GeneralParams

  92. final def getTrainTestRatio: Double

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    Definition Classes
    LearningTaskParams

  93. final def getTreeLimit: Int

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    Definition Classes
    BoosterParams

  94. final def getTreeMethod: String

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    Definition Classes
    BoosterParams

  95. final def getUseExternalMemory: Boolean

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    Definition Classes
    GeneralParams

  96. final def getWeightCol: String

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    Definition Classes
    HasWeightCol

  97. final val groupCol: Param[String]

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    Definition Classes
    HasGroupCol

  98. final val growPolicy: Param[String]

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    Definition Classes
    BoosterParams

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

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    Definition Classes
    Params

  100. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  101. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  103. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    Params

  105. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  107. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  108. val iteration: String

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    Definition Classes
    HasLossHistory

  109. val label: String

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    Definition Classes
    HasLossHistory

  110. final val lambda: DoubleParam

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    Definition Classes
    BoosterParams

  111. final val lambdaBias: DoubleParam

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    Definition Classes
    BoosterParams

  112. final val leafPredictionCol: Param[String]

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    Definition Classes
    HasLeafPredictionCol

  113. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
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    Logging

  120. def logName: String

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  125. val loss: String

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    Definition Classes
    HasLossHistory

  126. val lossHistory: Block

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    Definition Classes
    HasLossHistory

  127. final val maxBins: IntParam

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    Definition Classes
    BoosterParams

  128. final val maxDeltaStep: DoubleParam

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    Definition Classes
    BoosterParams

  129. final val maxDepth: IntParam

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    Definition Classes
    BoosterParams

  130. final val maximizeEvaluationMetrics: BooleanParam

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    Definition Classes
    LearningTaskParams

  131. final val minChildWeight: DoubleParam

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    Definition Classes
    BoosterParams

  132. final val missing: FloatParam

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    Definition Classes
    GeneralParams

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

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    Definition Classes
    AnyRef

  134. final val normalizeType: Param[String]

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    Definition Classes
    BoosterParams

  135. final def notify(): Unit

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    Definition Classes
    AnyRef

  136. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  137. final val nthread: IntParam

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    Definition Classes
    GeneralParams

  138. final val numEarlyStoppingRounds: IntParam

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    Definition Classes
    LearningTaskParams

  139. final val numRound: IntParam

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    Definition Classes
    GeneralParams

  140. final val numWorkers: IntParam

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    Definition Classes
    GeneralParams

  141. final val objective: Param[String]

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    Definition Classes
    LearningTaskParams

  142. final val objectiveType: Param[String]

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    Definition Classes
    LearningTaskParams

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

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    Definition Classes
    Params

  144. val predictAsDouble: BooleanParam

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    Definition Classes
    OkXGBoostParams

  145. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  146. final val rateDrop: DoubleParam

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    Definition Classes
    BoosterParams

  147. final val sampleType: Param[String]

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    Definition Classes
    BoosterParams

  148. def save(path: String): Unit

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

  149. final val scalePosWeight: DoubleParam

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    Definition Classes
    BoosterParams

  150. final val seed: LongParam

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    Definition Classes
    GeneralParams

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

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    Attributes
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    Params

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

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    Attributes
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    Params

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

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    Definition Classes
    Params

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

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    Definition Classes
    OkXGBoostParams

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

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    Definition Classes
    OkXGBoostParams

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

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

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

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

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

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

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

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

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

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

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

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

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    Attributes
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    Params

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

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    Attributes
    protected
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    Params

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

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    Definition Classes
    OkXGBoostParams

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

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

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

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

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  174. def setGroupCol(value: String): XGBoostRegressor.this.type

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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    Definition Classes
    OkXGBoostParams

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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  210. val significance: String

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    Definition Classes
    HasFeaturesSignificance

  211. final val silent: IntParam

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    Definition Classes
    GeneralParams

  212. final val sketchEps: DoubleParam

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    Definition Classes
    BoosterParams

  213. final val skipDrop: DoubleParam

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    Definition Classes
    BoosterParams

  214. val stdDev: String

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    Definition Classes
    HasFeaturesSignificance

  215. final val subsample: DoubleParam

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    Definition Classes
    BoosterParams

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

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    Definition Classes
    AnyRef

  217. val testLoss: String

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    Definition Classes
    HasLossHistory

  218. final val timeoutRequestWorkers: LongParam

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    Definition Classes
    GeneralParams

  219. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  220. final val trackerConf: TrackerConfParam

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    Definition Classes
    GeneralParams

  221. final val trainTestRatio: DoubleParam

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    Definition Classes
    LearningTaskParams

  222. def transformSchema(schema: StructType): StructType

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    Definition Classes
    XGBoostRegressor → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  224. final val treeLimit: IntParam

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    Definition Classes
    BoosterParams

  225. final val treeMethod: Param[String]

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    Definition Classes
    BoosterParams

  226. val uid: String

    Permalink
    Definition Classes
    XGBoostRegressor → Identifiable

  227. final val useExternalMemory: BooleanParam

    Permalink
    Definition Classes
    GeneralParams

  228. final def wait(): Unit

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

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

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

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

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

  231. final val weightCol: Param[String]

    Permalink
    Definition Classes
    HasWeightCol

  232. 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 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