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, XGBoostEstimatorCommon, NonParamVariables, ParamMapFuncs, RabitParams, BoosterParams, LearningTaskParams, GeneralParams, HasContribPredictionCol, HasLeafPredictionCol, HasGroupCol, HasWeightCol, HasBaseMarginCol, 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. XGBoostEstimatorCommon
  6. NonParamVariables
  7. ParamMapFuncs
  8. RabitParams
  9. BoosterParams
  10. LearningTaskParams
  11. GeneralParams
  12. HasContribPredictionCol
  13. HasLeafPredictionCol
  14. HasGroupCol
  15. HasWeightCol
  16. HasBaseMarginCol
  17. PredictorParams
  18. HasPredictionCol
  19. HasFeaturesCol
  20. HasLabelCol
  21. ModelWithSummary
  22. MLWritable
  23. Model
  24. Transformer
  25. PipelineStage
  26. Logging
  27. Params
  28. Serializable
  29. Serializable
  30. Identifiable
  31. AnyRef
  32. 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 XGBoost2MLlibParams(xgboostParams: Map[String, Any]): Unit

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    Definition Classes
    ParamMapFuncs

  7. val addRawTrees: BooleanParam

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    Definition Classes
    OkXGBoostParams

  8. val addSignificance: BooleanParam

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    Definition Classes
    OkXGBoostParams

  9. final val allowNonZeroForMissing: BooleanParam

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    Definition Classes
    GeneralParams

  10. final val alpha: DoubleParam

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    Definition Classes
    BoosterParams

  11. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  12. 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[_]): XGRegressionModelWrapper.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(summary: ModelSummary, params: ParamMap): XGRegressionModelWrapper

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    Definition Classes
    ModelWithSummary

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

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    Definition Classes
    ModelWithSummary

  24. def copy(extra: ParamMap): XGRegressionModelWrapper

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    Definition Classes
    ModelWithSummary → Model → Transformer → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

  26. def create(): XGRegressionModelWrapper

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    Attributes
    protected
    Definition Classes
    XGRegressionModelWrapper → ModelWithSummary

  27. final val customEval: CustomEvalParam

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    Definition Classes
    GeneralParams

  28. final val customObj: CustomObjParam

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    Definition Classes
    GeneralParams

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    OkXGBoostParams

  31. val densifyInput: BooleanParam

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    Definition Classes
    OkXGBoostParams

  32. def disableSaveSummary(): ModelWithSummary[XGRegressionModelWrapper]

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    Definition Classes
    ModelWithSummary

  33. def dlmc: XGBoostRegressionModel

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

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    Definition Classes
    AnyRef

  35. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  36. final val eta: DoubleParam

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    Definition Classes
    BoosterParams

  37. final val evalMetric: Param[String]

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    Definition Classes
    LearningTaskParams

  38. var evalSetsMap: Map[String, DataFrame]

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    Attributes
    protected
    Definition Classes
    NonParamVariables

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

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    Definition Classes
    Params

  40. def explainParams(): String

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    Definition Classes
    Params

  41. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  43. final val featuresCol: Param[String]

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    Definition Classes
    HasFeaturesCol

  44. def finalize(): Unit

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

  45. final val gamma: DoubleParam

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    Definition Classes
    BoosterParams

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

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    Definition Classes
    Params

  47. final def getAllowNonZeroForMissingValue: Boolean

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    Definition Classes
    GeneralParams

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

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    Definition Classes
    NonParamVariables

  61. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol

  62. final def getGamma: Double

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    Definition Classes
    BoosterParams

  63. final def getGroupCol: String

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    Definition Classes
    HasGroupCol

  64. final def getGrowPolicy: String

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    Definition Classes
    BoosterParams

  65. final def getInteractionConstraints: String

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    Definition Classes
    BoosterParams

  66. final def getLabelCol: String

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    Definition Classes
    HasLabelCol

  67. final def getLambda: Double

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    Definition Classes
    BoosterParams

  68. final def getLambdaBias: Double

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    Definition Classes
    BoosterParams

  69. final def getLeafPredictionCol: String

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    Definition Classes
    HasLeafPredictionCol

  70. final def getMaxBins: Int

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    Definition Classes
    BoosterParams

  71. final def getMaxDeltaStep: Double

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    Definition Classes
    BoosterParams

  72. final def getMaxDepth: Int

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    Definition Classes
    BoosterParams

  73. final def getMaxLeaves: Int

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    Definition Classes
    BoosterParams

  74. final def getMaximizeEvaluationMetrics: Boolean

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    Definition Classes
    LearningTaskParams

  75. final def getMinChildWeight: Double

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    Definition Classes
    BoosterParams

  76. final def getMissing: Float

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    Definition Classes
    GeneralParams

  77. final def getMonotoneConstraints: String

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    Definition Classes
    BoosterParams

  78. final def getNormalizeType: String

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    Definition Classes
    BoosterParams

  79. final def getNthread: Int

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    Definition Classes
    GeneralParams

  80. final def getNumEarlyStoppingRounds: Int

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    Definition Classes
    LearningTaskParams

  81. final def getNumRound: Int

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    Definition Classes
    GeneralParams

  82. final def getNumWorkers: Int

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    Definition Classes
    GeneralParams

  83. final def getObjective: String

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    Definition Classes
    LearningTaskParams

  84. final def getObjectiveType: String

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    Definition Classes
    LearningTaskParams

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  87. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

  88. final def getRateDrop: Double

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    Definition Classes
    BoosterParams

  89. final def getSampleType: String

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    Definition Classes
    BoosterParams

  90. final def getScalePosWeight: Double

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    Definition Classes
    BoosterParams

  91. final def getSeed: Long

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    Definition Classes
    GeneralParams

  92. final def getSilent: Int

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    Definition Classes
    GeneralParams

  93. final def getSketchEps: Double

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    Definition Classes
    BoosterParams

  94. final def getSkipDrop: Double

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    Definition Classes
    BoosterParams

  95. final def getSubsample: Double

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    Definition Classes
    BoosterParams

  96. final def getTimeoutRequestWorkers: Long

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    Definition Classes
    GeneralParams

  97. final def getTrainTestRatio: Double

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    Definition Classes
    LearningTaskParams

  98. final def getTreeLimit: Int

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    Definition Classes
    BoosterParams

  99. final def getTreeMethod: String

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    Definition Classes
    BoosterParams

  100. final def getUseExternalMemory: Boolean

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    Definition Classes
    GeneralParams

  101. final def getVerbosity: Int

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    Definition Classes
    GeneralParams

  102. final def getWeightCol: String

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    Definition Classes
    HasWeightCol

  103. final val groupCol: Param[String]

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    Definition Classes
    HasGroupCol

  104. final val growPolicy: Param[String]

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    Definition Classes
    BoosterParams

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

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    Definition Classes
    Params

  106. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  107. def hasParent: Boolean

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    Definition Classes
    Model

  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. def isSaveSummaryEnabled: Boolean

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    Definition Classes
    ModelWithSummary

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

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    Definition Classes
    Params

  116. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  117. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol

  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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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  128. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  133. final val maxBins: IntParam

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    Definition Classes
    BoosterParams

  134. final val maxDeltaStep: DoubleParam

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    Definition Classes
    BoosterParams

  135. final val maxDepth: IntParam

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    Definition Classes
    BoosterParams

  136. final val maxLeaves: IntParam

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    Definition Classes
    BoosterParams

  137. final val maximizeEvaluationMetrics: BooleanParam

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    Definition Classes
    LearningTaskParams

  138. final val minChildWeight: DoubleParam

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    Definition Classes
    BoosterParams

  139. final val missing: FloatParam

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    Definition Classes
    GeneralParams

  140. final val monotoneConstraints: Param[String]

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    Definition Classes
    BoosterParams

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

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    Definition Classes
    AnyRef

  142. def needDeterministicRepartitioning: Boolean

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    Definition Classes
    XGBoostEstimatorCommon

  143. final val normalizeType: Param[String]

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    Definition Classes
    BoosterParams

  144. final def notify(): Unit

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    Definition Classes
    AnyRef

  145. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  146. final val nthread: IntParam

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    Definition Classes
    GeneralParams

  147. final val numEarlyStoppingRounds: IntParam

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    Definition Classes
    LearningTaskParams

  148. final val numRound: IntParam

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    Definition Classes
    GeneralParams

  149. final val numWorkers: IntParam

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    Definition Classes
    GeneralParams

  150. final val objective: Param[String]

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    Definition Classes
    LearningTaskParams

  151. final val objectiveType: Param[String]

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    Definition Classes
    LearningTaskParams

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

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    Definition Classes
    Params

  153. var parent: Estimator[XGRegressionModelWrapper]

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    Definition Classes
    Model

  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 def rabitConnectRetry: IntParam

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    Definition Classes
    RabitParams

  157. final val rabitRingReduceThreshold: IntParam

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    Definition Classes
    RabitParams

  158. final def rabitTimeout: IntParam

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    Definition Classes
    RabitParams

  159. final val rateDrop: DoubleParam

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    Definition Classes
    BoosterParams

  160. final val sampleType: Param[String]

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    Definition Classes
    BoosterParams

  161. def save(path: String): Unit

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

  162. final val scalePosWeight: DoubleParam

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    Definition Classes
    BoosterParams

  163. final val seed: LongParam

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    Definition Classes
    GeneralParams

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    Params

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

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    Definition Classes
    OkXGBoostParams

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

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    Definition Classes
    OkXGBoostParams

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    OkXGBoostParams

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

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    Definition Classes
    NonParamVariables

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

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    Definition Classes
    Model

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

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    Definition Classes
    OkXGBoostParams

  175. final val silent: IntParam

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    Definition Classes
    GeneralParams

  176. final val sketchEps: DoubleParam

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    Definition Classes
    BoosterParams

  177. final val skipCleanCheckpoint: BooleanParam

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    Definition Classes
    LearningTaskParams

  178. final val skipDrop: DoubleParam

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    Definition Classes
    BoosterParams

  179. final val subsample: DoubleParam

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    Definition Classes
    BoosterParams

  180. def summary: ModelSummary

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    Definition Classes
    ModelWithSummary

  181. val summaryParam: Param[ModelSummary]

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    Attributes
    protected
    Definition Classes
    ModelWithSummary

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

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    Definition Classes
    AnyRef

  183. final val timeoutRequestWorkers: LongParam

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    Definition Classes
    GeneralParams

  184. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  185. final val trackerConf: TrackerConfParam

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    Definition Classes
    GeneralParams

  186. final val trainTestRatio: DoubleParam

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    Definition Classes
    LearningTaskParams

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

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    Definition Classes
    XGRegressionModelWrapper → Transformer

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

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

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

  190. def transformSchema(schema: StructType): StructType

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    Definition Classes
    XGRegressionModelWrapper → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  192. final val treeLimit: IntParam

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    Definition Classes
    BoosterParams

  193. final val treeMethod: Param[String]

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    Definition Classes
    BoosterParams

  194. val uid: String

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    Definition Classes
    XGRegressionModelWrapper → Identifiable

  195. final val useExternalMemory: BooleanParam

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    Definition Classes
    GeneralParams

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

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    Attributes
    protected
    Definition Classes
    PredictorParams

  197. final val verbosity: IntParam

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    Definition Classes
    GeneralParams

  198. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  201. final val weightCol: Param[String]

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    Definition Classes
    HasWeightCol

  202. def write: WithSummaryWriter[XGRegressionModelWrapper]

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    Definition Classes
    XGRegressionModelWrapper → ModelWithSummary → MLWritable

Inherited from OkXGBoostRegressorParams

Inherited from OkXGBoostParams

Inherited from XGBoostRegressorParams

Inherited from XGBoostEstimatorCommon

Inherited from NonParamVariables

Inherited from ParamMapFuncs

Inherited from RabitParams

Inherited from BoosterParams

Inherited from LearningTaskParams

Inherited from GeneralParams

Inherited from HasContribPredictionCol

Inherited from HasLeafPredictionCol

Inherited from HasGroupCol

Inherited from HasWeightCol

Inherited from HasBaseMarginCol

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