Trait

ml.dmlc.xgboost4j.scala.spark

OpXGBoostClassifierParams

Related Doc: package spark

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trait OpXGBoostClassifierParams extends XGBoostClassifierParams with OpXGBoostGeneralParamsDefaults

Hack to access XGBoostClassifierParams

Linear Supertypes
OpXGBoostGeneralParamsDefaults, XGBoostClassifierParams, NonParamVariables, HasContribPredictionCol, HasLeafPredictionCol, ParamMapFuncs, HasNumClass, HasBaseMarginCol, HasWeightCol, BoosterParams, LearningTaskParams, GeneralParams, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
OpXGBoostClassifier
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Inherited
  1. OpXGBoostClassifierParams
  2. OpXGBoostGeneralParamsDefaults
  3. XGBoostClassifierParams
  4. NonParamVariables
  5. HasContribPredictionCol
  6. HasLeafPredictionCol
  7. ParamMapFuncs
  8. HasNumClass
  9. HasBaseMarginCol
  10. HasWeightCol
  11. BoosterParams
  12. LearningTaskParams
  13. GeneralParams
  14. Params
  15. Serializable
  16. Serializable
  17. Identifiable
  18. AnyRef
  19. Any
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Visibility
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Abstract Value Members

  1. abstract def copy(extra: ParamMap): Params

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    Definition Classes
    Params

  2. abstract val uid: String

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    Definition Classes
    Identifiable

Concrete Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
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  2. final def ##(): Int

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    Definition Classes
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  3. final def $[T](param: Param[T]): T

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    Params

  4. final def ==(arg0: Any): Boolean

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    Definition Classes
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  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. final val alpha: DoubleParam

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    Definition Classes
    BoosterParams

  8. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  9. final val baseMarginCol: Param[String]

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    Definition Classes
    HasBaseMarginCol

  10. final val baseScore: DoubleParam

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    Definition Classes
    LearningTaskParams

  11. final val cacheTrainingSet: BooleanParam

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    Definition Classes
    LearningTaskParams

  12. final val checkpointInterval: IntParam

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    Definition Classes
    GeneralParams

  13. final val checkpointPath: Param[String]

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    Definition Classes
    GeneralParams

  14. final def clear(param: Param[_]): OpXGBoostClassifierParams.this.type

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    Definition Classes
    Params

  15. def clone(): AnyRef

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

  16. final val colsampleBylevel: DoubleParam

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    Definition Classes
    BoosterParams

  17. final val colsampleBytree: DoubleParam

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    Definition Classes
    BoosterParams

  18. final val contribPredictionCol: Param[String]

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    Definition Classes
    HasContribPredictionCol

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

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    Params

  20. final val customEval: CustomEvalParam

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    GeneralParams

  21. final val customObj: CustomObjParam

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    GeneralParams

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

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

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  24. def equals(arg0: Any): Boolean

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  25. final val eta: DoubleParam

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    BoosterParams

  26. final val evalMetric: Param[String]

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    Definition Classes
    LearningTaskParams

  27. var evalSetsMap: Map[String, DataFrame]

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    NonParamVariables

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

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    Params

  29. def explainParams(): String

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    Params

  30. final def extractParamMap(): ParamMap

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    Params

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

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    Params

  32. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

  33. final val gamma: DoubleParam

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    Definition Classes
    BoosterParams

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

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    Params

  35. final def getAlpha: Double

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    Definition Classes
    BoosterParams

  36. final def getBaseMarginCol: String

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    Definition Classes
    HasBaseMarginCol

  37. final def getBaseScore: Double

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    Definition Classes
    LearningTaskParams

  38. final def getCheckpointInterval: Int

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    GeneralParams

  39. final def getCheckpointPath: String

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    Definition Classes
    GeneralParams

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

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  41. final def getColsampleBylevel: Double

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    Definition Classes
    BoosterParams

  42. final def getColsampleBytree: Double

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    Definition Classes
    BoosterParams

  43. final def getContribPredictionCol: String

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    Definition Classes
    HasContribPredictionCol

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

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    Definition Classes
    Params

  45. final def getEta: Double

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    Definition Classes
    BoosterParams

  46. final def getEvalMetric: String

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    Definition Classes
    LearningTaskParams

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

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    Definition Classes
    NonParamVariables

  48. final def getGamma: Double

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    Definition Classes
    BoosterParams

  49. final def getGrowPolicy: String

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    Definition Classes
    BoosterParams

  50. final def getInteractionConstraints: String

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    Definition Classes
    BoosterParams

  51. final def getLambda: Double

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    BoosterParams

  52. final def getLambdaBias: Double

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    Definition Classes
    BoosterParams

  53. final def getLeafPredictionCol: String

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    Definition Classes
    HasLeafPredictionCol

  54. final def getMaxBins: Int

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    BoosterParams

  55. final def getMaxDeltaStep: Double

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    BoosterParams

  56. final def getMaxDepth: Int

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    BoosterParams

  57. final def getMaxLeaves: Int

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    BoosterParams

  58. final def getMaximizeEvaluationMetrics: Boolean

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    LearningTaskParams

  59. final def getMinChildWeight: Double

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    BoosterParams

  60. final def getMissing: Float

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    GeneralParams

  61. final def getMonotoneConstraints: String

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    BoosterParams

  62. final def getNormalizeType: String

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    BoosterParams

  63. final def getNthread: Int

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    GeneralParams

  64. final def getNumClass: Int

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    HasNumClass

  65. final def getNumEarlyStoppingRounds: Int

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    LearningTaskParams

  66. final def getNumRound: Int

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    GeneralParams

  67. final def getNumWorkers: Int

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    Definition Classes
    GeneralParams

  68. final def getObjective: String

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    LearningTaskParams

  69. final def getObjectiveType: String

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    LearningTaskParams

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

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    Params

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

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  72. final def getRateDrop: Double

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    BoosterParams

  73. final def getSampleType: String

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    BoosterParams

  74. final def getScalePosWeight: Double

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    BoosterParams

  75. final def getSeed: Long

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    GeneralParams

  76. final def getSilent: Int

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    GeneralParams

  77. final def getSketchEps: Double

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    BoosterParams

  78. final def getSkipDrop: Double

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    BoosterParams

  79. final def getSubsample: Double

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    BoosterParams

  80. final def getTimeoutRequestWorkers: Long

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    GeneralParams

  81. final def getTrainTestRatio: Double

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    LearningTaskParams

  82. final def getTreeLimit: Int

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    BoosterParams

  83. final def getTreeMethod: String

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    BoosterParams

  84. final def getUseExternalMemory: Boolean

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    GeneralParams

  85. final def getVerbosity: Int

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    Definition Classes
    GeneralParams

  86. final def getWeightCol: String

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    Definition Classes
    HasWeightCol

  87. final val growPolicy: Param[String]

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    BoosterParams

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

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  89. def hasParam(paramName: String): Boolean

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  90. def hashCode(): Int

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  91. final val interactionConstraints: Param[String]

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

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  93. final def isInstanceOf[T0]: Boolean

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

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  95. final val lambda: DoubleParam

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    BoosterParams

  96. final val lambdaBias: DoubleParam

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    BoosterParams

  97. final val leafPredictionCol: Param[String]

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    Definition Classes
    HasLeafPredictionCol

  98. final val maxBins: IntParam

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    BoosterParams

  99. final val maxDeltaStep: DoubleParam

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    BoosterParams

  100. final val maxDepth: IntParam

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    BoosterParams

  101. final val maxLeaves: IntParam

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    BoosterParams

  102. final val maximizeEvaluationMetrics: BooleanParam

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    Definition Classes
    LearningTaskParams

  103. final val minChildWeight: DoubleParam

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    Definition Classes
    BoosterParams

  104. final val missing: FloatParam

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    GeneralParams

  105. final val monotoneConstraints: Param[String]

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    BoosterParams

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

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    AnyRef

  107. final val normalizeType: Param[String]

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    BoosterParams

  108. final def notify(): Unit

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    AnyRef

  109. final def notifyAll(): Unit

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    AnyRef

  110. final val nthread: IntParam

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    GeneralParams

  111. final val numClass: IntParam

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    HasNumClass

  112. final val numEarlyStoppingRounds: IntParam

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    Definition Classes
    LearningTaskParams

  113. final val numRound: IntParam

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    GeneralParams

  114. final val numWorkers: IntParam

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    GeneralParams

  115. final val objective: Param[String]

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    LearningTaskParams

  116. final val objectiveType: Param[String]

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    LearningTaskParams

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

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    Params

  118. final val rateDrop: DoubleParam

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    BoosterParams

  119. final val sampleType: Param[String]

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    BoosterParams

  120. final val scalePosWeight: DoubleParam

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    BoosterParams

  121. final val seed: LongParam

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    Definition Classes
    GeneralParams

  122. final def set(paramPair: ParamPair[_]): OpXGBoostClassifierParams.this.type

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    Params

  123. final def set(param: String, value: Any): OpXGBoostClassifierParams.this.type

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

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  125. final def setDefault(paramPairs: ParamPair[_]*): OpXGBoostClassifierParams.this.type

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

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  127. def setEvalSets(evalSets: Map[String, DataFrame]): OpXGBoostClassifierParams.this.type

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    NonParamVariables

  128. final val silent: IntParam

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    GeneralParams

  129. final val sketchEps: DoubleParam

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    BoosterParams

  130. final val skipDrop: DoubleParam

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  131. final val subsample: DoubleParam

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    BoosterParams

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

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    AnyRef

  133. final val timeoutRequestWorkers: LongParam

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    GeneralParams

  134. def toString(): String

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    Identifiable → AnyRef → Any

  135. final val trackerConf: TrackerConfParam

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    GeneralParams

  136. final val trainTestRatio: DoubleParam

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    LearningTaskParams

  137. final val treeLimit: IntParam

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    BoosterParams

  138. final val treeMethod: Param[String]

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    BoosterParams

  139. final val useExternalMemory: BooleanParam

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    GeneralParams

  140. final val verbosity: IntParam

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    GeneralParams

  141. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

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    @throws( ... )

  144. final val weightCol: Param[String]

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    Definition Classes
    HasWeightCol

Inherited from OpXGBoostGeneralParamsDefaults

Inherited from XGBoostClassifierParams

Inherited from NonParamVariables

Inherited from HasContribPredictionCol

Inherited from HasLeafPredictionCol

Inherited from ParamMapFuncs

Inherited from HasNumClass

Inherited from HasBaseMarginCol

Inherited from HasWeightCol

Inherited from BoosterParams

Inherited from LearningTaskParams

Inherited from GeneralParams

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped